Utility Functions for Infinite-Period Planning Harvey, C.M. IIASA Working Paper WP-86-082 November 1986 Harvey, C.M. (1986) Utility Functions for Infinite-Period Planning. IIASA Working Paper. IIASA, Laxenburg, Austria, WP86-082 Copyright © 1986 by the author(s). http://pure.iiasa.ac.at/2779/ Working Papers on work of the International Institute for Applied Systems Analysis receive only limited review. Views or opinions expressed herein do not necessarily represent those of the Institute, its National Member Organizations, or other organizations supporting the work. All rights reserved. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage. All copies must bear this notice and the full citation on the first page. For other purposes, to republish, to post on servers or to redistribute to lists, permission must be sought by contacting [email protected] NOT FOR QUOTATION WITHOUT THE PERMISSION OF THE AUTHOR UTILITY FUNCTIONS FOR --PERIOD PIANNING Charles M. Harvey November 1 9 8 6 WP-86-82 Working Papers are interim r e p o r t s on work of t h e International Institute f o r Applied Systems Analysis and have received only Limited review. Views or opinions expressed herein d o not necessarily r e p r e s e n t those of t h e Institute or of i t s National Member Organizations. INTERNATlONAL INSTITUTE FOR APPLIED SYSTEMS ANALYSIS A-2361 Laxenburg, Austria This p a p e r p r e s e n t s a systematic discussion of decision analysis models f o r attitudes toward r i s k when t h e effects of a public policy choice extend into t h e distant or unbounded future. S e v e r a l issues of social r i s k attitudes are identified and discussed. Conditions on p r e f e r e n c e s are presented by which value judgments concerning these issues can b e included in a formal model f o r a public policy evaluation. Alexander B . Kurzhanski Chairman System and Decision Sciences Program - iii - UTILITY FUNCTIONS FOR lNFlWTE-PERIOD PLANNING* C h a r l e s M. H a r v e y 1. Introduction There are a variety of methods f o r treating t h e uncertainty of f u t u r e outcomes in a multiperiod planning model. Cost-benefit studies often: (1) add a "risk premium" t o t h e discount rate (e.g., Sugden and Williams 1978, p. 60), (2) r e p o r t a probability distribution of net p r e s e n t values (e.g., Mishan 1976, p. 372), (3) use t h e net p r e s e n t value function as a utility function, o r (4) s u b t r a c t a multiple of t h e variance of t h e net r e t u r n from t h e expected net r e t u r n (Markowiti 1959). These methods do not a d d r e s s p r e f e r e n c e issues regarding a n institution's o r society's attitude toward r i s k . Decision analysis models t h a t do a d d r e s s t h e s e issues have been developed by a number of authors. Fishburn (1965a), (1970) h a s introduced conditions on p r e f e r e n c e s t h a t imply a utility function having an additive form. Pollak (1967) has introduced p r e f e r e n c e conditions t h a t imply a utility function having a n additive form o r a log-additive form. Meyer (1970), (1972) h a s shown t h a t weakened assumptions of mutual utility independence imply t h a t t h e utility function h a s a n additive form, a positive multiplicative form, o r a negative multiplicative form (see Keeney 1968, 1974 f o r similar r e s u l t s in a multiattribute setting). Richard (1975) h a s introduced a condition of s t r i c t multivariate risk aversion t h a t t o g e t h e r with mutual utility independence implies a negative multiplicative form. P r e f e r e n c e conditions concerning utility dependence, e.g., t h e dependence of t h e decision maker's r i s k attitude f o r one period on t h e outcomes in o t h e r periods, have been introduced by Bell (1977). Fishburn (1965b), and Meyer (1977). Related work includes t h a t of B a r r a g e r (1980), Bell (1974), Bodily (1981), and Fishburn and Rubinstein (1982). This p a p e r i s a systematic study of p r e f e r e n c e issues regarding attitudes toward r i s k in multiperiod planning. A number of decision analysis models a r e presented t h a t when a p p r o p r i a t e can b e used t o formulate social p r e f e r e n c e s in a risk management study o r t o formulate c o r p o r a t e p r e f e r e n c e s in a long r a n g e planning study by a p r i v a t e form. *This research i s supported in part b y the National Science Foundation under Grant no. SES 8410665. The models in t h i s p a p e r are c o n c e r n e d with infinite-period outcomes, i.e., with a n u n b ~ u n d e d ~ p l a n n i nhorizon. g Corresponding r e s u l t s f o r a bounded planning horizon c a n b e deduced by assuming t h a t t h e amounts in t h e p e r i o d s beyond t h e horizon are a specified, s t a n d a r d amount. A g e n e r a l t y p e of planning model is p r e s e n t e d in Section 2. I t s primary c h a r a c t e r i s t i c s are t h a t t r a d e o f f s between d i f f e r e n t p e r i o d s satisfy conditions of p r e f e r e n t i a l independence and t h a t r i s k a t t i t u d e s satisfy conditions of e x p e c t e d utility. Then, in Section 3, f o u r p r e f e r e n c e issues are identified t h a t c a n b e included in such a planning model (and six p r e f e r e n c e issues are identified t h a t cannot b e included). Sections 4-8 are c o n c e r n e d with s p e c i a l conditions on social o r c o r p o r a t e p r e f e r e n c e s , a n d with t h e implications of t h e s e p r e f e r e n c e conditions f o r t h e form of a utility function in a g e n e r a l t y p e of planning model. Sections 4 and 5 discuss a t t i t u d e s toward multiperiod r i s k ; Section 6 discusses c o n c e r n f o r i n t e r t e m p o r a l equity; and Section 7 discusses a t t i t u d e s toward p r e s e n t r i s k . Then, in Section 8, a number of planning models are p r e s e n t e d which use a combination of p r e f e r e n c e conditions r e g a r d i n g t h e s e issues. The planning models discussed in t h i s p a p e r are intended t o b e p r e s c r i p t i v e r a t h e r t h a n d e s c r i p t i v e o r normative; t h a t is, t h e y are intended t o c l a r i f y t h e implications from value judgments concerning relatively simple c h o i c e s t o p r e f e r e n c e s between t h e r e l a t i v e l y complex a c t u a l alternatives. The utility functions discussed are intended t o b e a n inobtrusive technical means by which t h e analyst can e v a l u a t e t h e s e implications. A utility function c a n b e determined by t h e following s t e p s : (1)identify which p r e f e r e n c e issues are important, (2) v e r i f y p r e f e r e n c e conditions r e l a t e d t o t h e s e issues, and (3) f o r e a c h p r e f e r e n c e issue t h a t is deemed important, make a specific p r e f e r e n c e assessment. S u c h a p r o c e d u r e h a s s e v e r a l advantages: i t is possible t o choose where t o simplify t h e planning model, t h e number of value judgments needed i s minimized, a n d a sensitivity analysis of t h e e f f e c t s of t h e value judgments i s possible. 2. Expected-Utility Planning Models This section p r e s e n t s a n expected-utility model f o r infinite-period planning t h a t is based on t h e additive-value model presented in Harvey (1986a). The r e a d e r is r e f e r r e d t o t h a t p a p e r f o r a more detailed discussion of the definitions and results concerning value tradeoffs that a r e needed f o r t h e present discussion of risk attitudes. Moreover, the r e a d e r is r e f e r r e d to Appendix A of this p a p e r f o r much of t h e technical material (definitions and proofs) used in this section. Suppose t h a t a unit of time is chosen, e.g., a y e a r , and t h a t the future i s divide d into a sequence of periods ( t -1, t ] , t during a period, t = 1 3 ,..., of unit duration. The outcomes = 1 2 ,..., a r e t o b e described by a single, readily interpretable variable zt t h a t may involve t h e pricing out of nonmonetary a t t r i b u t e s o r the summing of t h e costs, risks, and benefits t h a t a c c r u e t o t h e individuals in a specific ~ , of group. The consequences o v e r t h e f u t u r e are described by sequences ( z ~ , z ...) t h e single-period iwnite-period amounts zt , t = 1 , 2 ,.... These consequences will b e called consequences. Uncertain events having a finite number of infinite-period consequences as possible outcomes will be called i w n i t e - p e r i o d lotteries. Definition 1. A model having t h e following s t r u c t u r e will b e called a p l a n n i n g model: (a) z* denotes a specified amount of t h e variables zt to b e used f o r normalization purposes, (b) I denotes a common interval on which t h e variables zt are defined, (c) C denotes t h e s e t of all infinite-period consequences having amounts zt in I, (d) L denotes t h e set of all infinite-period lotteries having consequences in C,and (e) 2 denotes a p r e f e r e n c e relation defined on t h e s e t L of lotteries. The amount zt =z* will b e called a s t a n d a r d amount. For technical reasons, i t will b e assumed t h a t t h e interval I has one of the forms ( z - , z + ) , [ z S , z + ) , and (z-,z*] where each of t h e amounts z*, z - , z + can be e i t h e r finite or infinite. Here, t h e standard amount z* will b e called intermediate, least prqferred, and most prqfetred respectively. If z* i s a l e a s t p r e f e r r e d o r m o s t p r e f e r r e d amount in I, then L i s to b e r e s t r i c t e d t o those lotteries not having the extreme consequence (z* ,z* ,...) as a possible consequence. In t e r m s of t h e above notation, a n ordinal-value model i s defined in Harvey (1986a) by t h e p r e f e r e n c e conditions (A)-(I?,)r e s t a t e d in Appendix A. The primary r e s u l t i s as follows. Lemma 1. The conditions (A)-(E) on tradeoffs are satisfied if and only if p r e f e r ences among t h e infinite-period consequences in the set C* (defined in Appendix A) are r e p r e s e n t e d by a n infinite-series value function such that: V(zl,z2, ...) converges if and only if (z1,z2,...) i s in t h e set C* ; t h e timi n g w e i g h t s at , t = 1.2, ..., are positive; and t h e tradeofls & n c t i o n v i s continu- ous, s t r i c t l y increasing, and normalized s o t h a t v (z* ) = 0. In this p a p e r , t h e p r e f e r e n c e conditions (A)-(E) are augmented by two conditions as follows: (F) For any consequence (z1,z2, ...) in C*, t h e r e exists a n indifferent conse- quence ( ~ 1 ~ i * 2 , ~ ...) * 3 in , C* f o r some amount ~i in I. (G) The p r e f e r e n c e relation 2 satisfies t h e conditions f o r expected utility f o r t h e set L* of l o t t e r i e s in L having consequences in C*. (See, e.g.. Herstein and Milnor 1953). Moreover, any l o t t e r y in L* has a n indifferent consequence in C*. (This condition on t h e existence of c e r t a i n t y equivalents i s included to e n s u r e t h a t t h e utility function i s continuous.) Theorem 1. A planning model satisfies t h e p r e f e r e n c e conditions (A)-(G) if and only if t h e p r e f e r e n c e relation 2 r e s t r i c t e d t o t h e set L* of infinite-period lott e r i e s i s r e p r e s e n t e d by a utility function having t h e forms: Here, t h e value function V(x1,x2,..,) = v (zl) + a 2 v (z2) + - - . is as described in Lemma 1 ; t h e m u l t i p e r i o d r i s k f i n c t i o n f is a continuous, s t r i c t l y increasing function defined on t h e r a n g e of V ; and t h e first-period u t i t i t y f u n c t i o n u i s a s t a n d a r d conditional utility function f o r t h e f i r s t period, i.e., a utility function on consequences of t h e form ( x i , z$,z; ,...). The p u r p o s e of Theorem 1 i s t o provide t h e g e n e r a l forms (2)-(4) of utility functions f o r modeling t h e p r e f e r e n c e issues (i)-(iv) discussed in t h e n e x t section. The timing weights at model t h e issue (i) of t h e importance of t h e f u t u r e ; t h e t r a d e o f f s function v models t h e issue (ii) of i n t e r t e m p o r a l t r a d e o f f s ; t h e firstp e r i o d utility function u models t h e issue (iii) of r i s k in t h e p r e s e n t ; and t h e multiperiod r i s k function f models t h e issue (iv) of multiperiod r i s k . 9. Preference Issues This section f i r s t identifies a number of issues concerning individual and soc i a l p r e f e r e n c e s t h a t c a n b e modeled by a utility function of t h e g e n e r a l forms (2)-(4) d e s c r i b e d in Theorem 1. I t then identifies o t h e r issues t h a t are excluded by t h e assumptions of Theorem 1. R e f e r e n c e s are provided t o more detailed discussions of e a c h issue. (i) The importance of f u t u r e periods. This issue i s c o n c e r n e d with t h e dependence of t r a d e o f f s between two f u t u r e periods s a n d t on t h e f u t u r i t y of t h e p e r i o d s s and t . In m o s t cost-benefit and r i s k analysis studies, p r e f e r e n c e s r e g a r d i n g t h i s iss u e are modeled by p r e s e n t value discounting, t h a t is, by assuming t h a t t h e timing weights at form a geometric sequence, l , a , a 2 ,..., f o r some constant 0 < a < 1. Timing weights of t h i s form are implied by s e v e r a l p r e f e r e n c e conditions, e.g., t h e s t a t i o n a r i t y condition in Koopmans (1960), (1972) and t h e pairwise invariance condition in Keeney a n d Raiffa (1976, p. 480) which states t h a t t r a d e o f f s between two p e r i o d s s a n d t depend only o n t h e (absolute) difference t -s between t h e periods. More g e n e r a l timing weights are considered, f o r example, in Williams and Nassar (1966) a n d Weibull (1986). Another p r e f e r e n c e condition, called r e l a t i v e timing p r e f e r e n c e s , i s introduced in Harvey (1986a). This condition states t h a t t r a d e o f f s between t w o periods s a n d t depend only on t h e r e l a t i v e difference t / s between t h e periods. I t implies t h a t t h e timing weights at form a n arithmetic sequence, 1 , ( 1 / 2)',(1/ some constant r > 0. The t e r m 3 ) ' , ..., f o r r e l a t i v e v a l u e d i s c o u n t i n g i s used f o r a model of this type. Relative value discounting models a c c o r d more importance t o t h e distant fut u r e , and hence t o f u t u r e generations, than do p r e s e n t value discounting models. This distinction between t h e t w o types of models o c c u r s because any arithmetic sequence at-l, ( l t ) r 0 decays more slowly than any geometric sequence o < a <I. (ii) Concern f o r i n t e r t e m p o r a l e q u i t y . This issue has two equivalent forms. The f i r s t form i s a concern f o r equity in t h e amounts zt in different periods; typically, t h e r e i s a n aversion toward l a r g e differences in t h e amounts zt . The second f o r m i s a dependence of t h e tradeoffs between two periods s and t on t h e base amount, e.g., asset position or social wealth, in one of t h e periods; f o r example, t h e r e typically i s a willingness t o incur g r e a t e r costs in a period s f o r a benefit in a period t if t h e base costs in period s are low than if t h e base costs in period s are a l r e a d y high. This issue i s not included in most cost-benefit studies. P r e f e r e n c e s are modeled by assuming t h a t t h e tradeoffs function v i s linear, i.e., v ( z t ) = zt. This form of v is implied by a n attitude of neutrality toward intertemporal inequity o r , equivalently, by t h e condition t h a t tradeoffs between t w o periods are independent of t h e base amount in one of the periods. P r e f e r e n c e conditions t h a t d o model aversion toward intertemporal inequity and t h a t imply a parametric form f o r t h e tradeoffs function v are introduced in Harvey (1986a). (iii) A t t i t u d e t o w a r d r i s k in t h e p r e s e n t . Suppose t h a t ( z t ) denotes a n infinite-period consequence having t h e amount zt in period t and standard amounts z* in e v e r y o t h e r period. Then, this issue can be described as a concern f o r r i s k in l o t t e r i e s having consequences of t h e form (xi), i.e., l o t t e r i e s such t h a t all of t h e uncertainty i s in t h e f i r s t period, t = 1. This issue and t h a t of (iv) below are two components of t h e overall issue of risk in infinite-period planning. Most cost-benefit studies e i t h e r d o not include t h e r i s k issues (iii), (iv) o r model t h e overall issue of r i s k by one of t h e methods described in the introduction. An attitude of neutrality toward risk in t h e p r e s e n t implies t h a t t h e firstperiod utility function u in linear, i.e., u (x =x A number of a u t h o r s have in- troduced p r e f e r e n c e conditions t h a t model a n attitude of aversion toward r i s k in t h e p r e s e n t and t h a t imply a parametric form f o r t h e function u . References are provided in Sections 4 and 5. (iv) A t t i t u d e t o w a r d m u l t t p e r i o d r i s k . Suppose t h a t (x,,xt) denotes a n infinite-period consequence having t h e amounts I, and xt in t w o periods s , t and having s t a n d a r d amounts x* in e v e r y o t h e r period. One form of t h e multiperiod r i s k issue i s a c o n c e r n f o r joint probabilities as w e l l as marginal probabilities in assessing p r e f e r e n c e s between infinite-period lotteries. that < (x,,xt), For example, suppose ( x i ,xi ) > denotes a l o t t e r y having t h e equally likely consequences (I, , x t ), ( x i ,xi ) and < (x, , x i ), (x;,xt) > denotes a lottery having t h e equally like- ly consequences (I, ,xi ),( x i ,xt ). Even though these l o t t e r i e s have equal marginal distributions f o r t h e period s and f o r t h e period t , if x, < x,' and xt < xi , then t h e second l o t t e r y may be p r e f e r r e d t o t h e f i r s t because of a n aversion to "catastrophe" if t h e consequence (x,.xt) occurs. References f o r t h i s issue are provided in Sections 4 and 5. An attitude of neutrality toward multiperiod r i s k (for example, indifference between any two l o t t e r i e s described above) implies t h a t t h e multiperiod r i s k function f i s linear, i.e., f (V)= V. F o r such a model, t h e infinite-series value function V(xl ,la,...) in Theorem 1i s also a utility function. In c o n t r a s t t o t h e issues (i)-(iv) discussed above, t h e following issues (v)-(x) are excluded by t h e p r e f e r e n c e conditions in Theorem 1 and hence cannot be r e p r e s e n t e d by t h e models to b e discussed in this p a p e r . (v) Dependence of t h e tradeoffs between two periods on t h e amounts in t h e intervening periods. This issue is excluded by condition (C) in Appendix A. Such p r e f e r e n t i a l complementarity i s discussed, for example, in Gorman (1968), and models are proposed in Bordley (1985) and Meyer (1977). (vi) Dependence of t h e tradeoffs within a period on t h e base amounts in t h a t period. For a multiattribute decision problem, t h e r e may be, f o r example, a dependence of t h e pricing-out amounts f o r t h e non-monetary a t t r i b u t e s on t h e base amount of t h e monetary a t t r i b u t e . F o r a group decision problem, t h e r e may be a concern f o r equity in t h e consequences t o t h e affected individuals. These issues are excluded by t h e requirement t h a t the outcomes in a period t c a n b e described by a single, readily i n t e r p r e t a b l e variable, i.e., t h a t multiple a t t r i b u t e s c a n b e reduced to a single a t t r i b u t e by "willingness-to-pay" methods, and group consequences can b e aggregated by a "sum-of-benefits" method. Multiattribute tradeoffs dependence is discussed, f o r example, in Harvey (1985a) and Kirkwood and S a r i n (1980); interpersonal equity in consequences is discussed, f o r example, in Atkinson (1970), B a r r a g e r (1980), Fleming (1952), and Harvey (1985b). (vii) Dependence of tradeoffs comparisons on t h e period. This issue i s excluded by condition (E) in Appendix A, which requires t h a t f o r any two periods s ,t and any two p a i r s of amounts z1 < z2and z3 < z 4 , if t h e r e is a willingness t o tradeoff more t o increase z, from z1 t o z2 than to increase z, from z3 t o z 4 , then t h e r e is a willingness t o tradeoff more t o increase zt from z1 t o z 2 than t o increase zt from z 3 t o z4. A general planning model t h a t does not assume condition (E) is presented in Harvey (1986a); however, t h e r e are no known p r e f e r e n c e conditions on dependence of tradeoffs comparisons t h a t could b e used t o s t r u c t u r e such a model. (viii) Attitude toward intertemporal inequity in risks. This issue must b e distinguished from t h e issue (ii) of concern f o r intertemporal equity in amounts. The present issue can be described as follows. Consider two p a i r s of amounts z, and zt < z; such t h a t (z, ) - <zJ (zt ) and (2,' )- (2; ). Then, t h e consequences (z, ,z; ) and (zJ ,zt ) a r e indifferent and have t h e same inequity in amounts. By t h e substitution principle, i t would follow t h a t t h e lottery < (2, ,z; ), ( z i , z t ) > is indifferent t o e i t h e r of the consequences (z, , ~), j (2,' ,zt ). However, t h e lottery might b e p r e f e r r e d to, f o r example, t h e consequence (z, ,z; ) since t h e lottery presents equal r i s k in both periods whereas t h e consequence (z, , z j ) is unfair t o t h e period s (and thus t o t h e affected individuals in period s ) . Such p r e f e r e n c e s are excluded by t h e expected utility conditions (G). Inequit y in r i s k f o r group decision problems is discussed, f o r example, in Broome (1982), Harvey (1985c), Keeney (1980), Keeney and Winkler (1985), Kirkwood (1979), and S a r i n (1985). (ix) Regret, Allais paradoxes, and framing effects. These issues a r e excluded by condition (G). Discussions of these issues may be found, f o r example, in Allais and Hogen (1979), Bell (1983), (1985), Kahneman and Tversky (1979), and Schoemaker (1982). Models t h a t do not assume condition (G) are presented in Chew (1983), Chew and MacCrimmon (19'79). Fishburn (1982), (1983), and Machina (1982). (x) Time resolution of uncertainty. This g r o u p of issues i s discussed by Mayer (in Keeney and Raiffa 1976, Chapter 9) where s e v e r a l issues are identified, including: (1) changes in personal or social p r e f e r e n c e s o v e r time, and (2) t h e time at which uncertainty i s resolved. The p r e f e r e n c e s of a f u t u r e society a r e included in a utility function of Theorem 1only in t h a t the p r e f e r e n c e s of c u r r e n t society depend in p a r t on a conc e r n f o r such f u t u r e p r e f e r e n c e s ; t h e planning models in this p a p e r do not include a probability distribution of f u t u r e preferences. A s e p a r a t e issue i s whether t h e social p r e f e r e n c e s r e p r e s e n t e d in a specified utility function change with time. For a p r e s e n t value discounting model, t h e tradeoffs between t h e y e a r s 2050 and 2051 are t h e same whether t h e model r e p r e s e n t s t h e p r e f e r e n c e s of c u r r e n t society or t h e p r e f e r e n c e s of society in t h e y e a r 2050. For a r e l a t i v e value discounting model, however, t h e r e i s more indifference between t h e y e a r s 2050 and 2051 if t h e model r e p r e s e n t s c u r r e n t p r e f e r e n c e s than if t h e model r e p r e s e n t s p r e f e r e n c e s in t h e y e a r 2050. The time at which uncertainty is resolved c a n be included in a planning model by t h e usual backward induction of decision-tree analysis. However, t h e issue of anxiety caused by prolonged uncertainty i s not included in t h e planning models in this p a p e r . This issue of "anxiety along the way" i s discussed in t h e work of Meyer cited above. 4. A b s o l u t e H u l t i p e r i o d Risk This section and t h e next discuss p r e f e r e n c e conditions regarding t h e issue of multiperiod risk. General conditions are introduced in Sections 4.1 and 5.1 to define t h e attitudes of neutrality, aversion, and proneness toward multiperiod r i s k , and special conditions are introduced in Section 4.2 and 5.2. Each g e n e r a l or special p r e f e r e n c e condition i s shown t o be equivalent t o a condition on t h e f o r m of t h e multiperiod risk function f in Theorem 1. In this sense, t h e function f c a n be r e g a r d e d as t h a t p a r t of a utility function U(x1,x2, ...) which encodes t h e multiperiod risk attitude f o r p r e f e r e n c e s among infinite-period lotteries. Table 1 below lists all of t h e special conditions on multiattribute risk and t h e corresponding special forms of t h e utility function U. The p r o p e r t i e s within e a c h of p a r t s (I)-(IV) are equivalent. Table 1: Conditions on Multiperiod Risk and Forms of U(z1,z2, ...) (11) (1) (Absolute) Risk Neutrality (a) Relative Risk Neutrality (a) (Absolute) Risk Neutrality (b) Relative Risk Neutrality (b) U l i n e a r in v U logarithmic in v U additive in u U log-exp in u (111 (IV) Absolute Risk Constancy Relative Risk Constancy Utility Independence Timing Independence U l i n e a r or exponential in v U logarithmic or power in v U additive or multiplicative in u U log-exp or power-root in u Both single-period r i s k attitudes and multiperiod r i s k attitudes c a n b e defined by specifying a period t and considering p r e f e r e n c e s between those l o t t e r i e s having consequences (zt ) in which t h e amounts in t h e periods o t h e r than period t are s t a n d a r d amounts I*. For such l o t t e r i e s , t h e r e i s no uncertainty e x c e p t f o r t h e outcome in period t . For a single-period r i s k attitude, t h e consequences ( x t ) are measured directly in terms of t h e amounts zt in period t . In p a r t i c u l a r , t h e tradeoffs between zt and t h e amounts in o t h e r periods are not considered. For a multiperiod r i s k attitude, however, t h e consequences ( z t ) are measured in terms of t h e amounts v ( z t ) by considering t h e t r a d e o f f s between t h e amounts zt in period t and t h e amounts in o t h e r periods; then, changes in the period t will b e r e f e r r e d t o a s changes in value. 4.1 Absolute multiperiod risk neutrality and aversion The multiperiod risk attitudes of neutrality, aversion, and proneness may b e defined by a number of equivalent conditions concerning changes in value. Two such conditions are specified in this subsection. The following concepts will b e needed f o r t h e f i r s t of t h e s e conditions. Definition 2. P a i r s of amounts xt ,xi and yt ,yj in a period t will be said t o have equal (absolute) changes in v a l u e provided t h a t f o r a common p a i r of amounts z , z f in a n o t h e r period. In particular, a n amount will be called t h e (absolute) t r a d e o n . mmidvalue of two amounts xt that t h e p a i r s of amounts xt , z t and zt ,xi < x; zt provided have equal changes in value. A s a type of example, suppose t h a t p r e f e r e n c e s f o r intertemporal equity are not included in the model (as is typically t h e case f o r cost-benefit models). Then, two p a i r s of amounts xt ,xi and y t ,y ; have equal changes in value provided t h a t xi = x t + h , y i amounts xt < x; = yt +h f o r t h e same change h , and t h e tradeoffs midvalue of two is t h e ordinary average of xt and x; . Lemma 2. For a planning model of type (A)-@), any two amounts xt < xi in any period t have a unique tradeoffs midvalue zt. Any two p a i r s of amounts x ,x ' and y , y f in t h e interval I have equal changes in value when they are in a period t if and only if they have equal changes in value when they a r e in any o t h e r period. Thus, an amount E is t h e tradeoffs midvalue of a p a i r of amounts x z , 5 , x f a r e in a period t if and only if x ,G,x ' are in any o t h e r period. z i s t h e tradeoffs midvalue of x < x' < x' when when Suppose t h a t a single period 1 h a s been chosen, and t h e tradeoffs midvalue of a p a i r of amounts xt < xi zt has been assessed. Multiperiod r i s k attitudes can be defined as in p a r t s (a) of Theorem 2 below by comparing t h e "average" consequence (<)with t h e "risky" lottery < ( z t ) , ( x ;)>. For example, muLtiperiod r i s k a v e r s i o n can b e defined as t h e condition t h a t ( S t ) i s p r e f e r r e d to < ( x t ) , ( x i)>. In applications, i t may often b e convenient t o choose t h e period 1 as t h e f i r s t period, 1 =I. These definitions are similar to t h e definitions in Dyer and S a r i n (1982) comparing s t r e n g t h of p r e f e r e n c e midvalues and r i s k midvalues (i.e., certainty equivalents). The difference t o be emphasized i s t h a t t h e above definitions do not r e q u i r e a p r e c i s e assessment of t h e c e r t a i n t y equivalent of <(zt), (2; ) >; instead, (Zt ) and <(zt) , ( x i )> are compared directly. Multiperiod r i s k attitudes can also b e defined by considering consequences of t h e form ( z , ,zt) f o r two periods s and 1. Suppose t h a t t h e periods s and 1 have been chosen, and two p a i r s of amounts z , , x ; and z t , z ; have been assessed such that z, < z ; , z t < z; and ( z t1, ( 2 ; I N ( 2 ; ) (2,) . (5) These indifference relations imply t h a t t h e two infinite-period consequences (z,,z;)and (2; , z t )are indifferent. A s one type of example, if s and t are chosen to b e adjacent periods in t h e distant f u t u r e and t h e f u t u r e i s valued in a c c o r d with t h e conditions of relative timing p r e f e r e n c e s (so t h a t a, / at a I ) , then xt and imately zt = z, and zi c a n b e assessed as approx- zi = z; . Multiperiod r i s k attitudes c a n b e defined as in p a r t s (b) of Theorem 2 by comparing t h e "average" consequences < ( z , ,zt) , ( x i (z,,zi ), ) >. For example, muLtiperiod r i s k a v e r s i o n c a n be defined as t h e condition t h a t t h e consequences ( z ,,xi ), < ( x , ,zt) , ( z d (z; , z t ) with t h e "risky" lottery >. (zi , z t )are p r e f e r r e d to the lottery These definitions are similar t o t h e definitions in R i c h a r d (1975) of multivari- ate r i s k n e u t r a l , s t r i c t l y multivariate r i s k a v e r s e , and s t r i c t l y multivariate r i s k seeking. The d i f f e r e n c e i s t h a t in Richard's definitions t h e consequences (z, , ~), j ( x i , z t ) are not a s s e s s e d t o b e indifferent, and t h e l o t t e r y compared with < (z, , z t ) , (z,' < (z, , z j ), (z,' ,zt ) > is , x i ) >. In t h e terminology of F a r q u h a r (1984), t h e comparisons in R i c h a r d ' s definitions are evaluated by a paired-gamble method while t h e comparisons in t h e above definitions are evaluated by a standard-gamble method. Theorem 2. F o r a planning model of t y p e (A)-(G), t h e p r o p e r t i e s within e a c h of t h e following p a r t s (I)-(111) are equivalent. I. MuLtiperiod r i s k n e u t r a l i t y : (a) T h e r e e x i s t s a p e r i o d t such t h a t f o r a n y amounts zt ( z t ) i s indifferent t o t h e l o t t e r y < z; t h e consequence < ( z t ),( z j ) >. (b) T h e r e e x i s t two p e r i o d s s a n d t such t h a t f o r a n y amounts as in (5) t h e consequences (z, , z j ) - (2: , z t ) are indifferent t o t h e l o t t e r y < (z, , s t ), (2,' , z j ) >. (c) P r e f e r e n c e s are r e p r e s e n t e d by a utility function (2) in which t h e mulj i s l i n e a r , t h a t is, tiperiod r i s k function ' where t h e t r a d e o f f s function v i s to be assessed. H e r e , v i s normalized so t h a t v (z*) = 0 . (d) P r e f e r e n c e s are r e p r e s e n t e d by a utility function (4) of t h e form where t h e first-period utility function u i s t o be assessed. H e r e , u i s normalized so t h a t u (z* ) = 0. 11. MuLtiperiod r i s k a v e r s i o n : < z; (a) T h e r e e x i s t s a p e r i o d t such t h a t f o r any amounts zt (Zt ) i s p r e f e r r e d t o t h e l o t t e r y t h e consequence < ( z t ),(Zi) >. (b) There e x i s t two p e r i o d s s and t such t h a t f o r any amounts as in (5) t h e consequences (z, , z i )- (zd,zt ) are p r e f e r r e d t o t h e l o t t e r y < (z, ,zt ),(zd , z i ) >. (c) P r e f e r e n c e s are r e p r e s e n t e d by a utility function (2) o r (4) in which multiperiod r i s k function 'j i s s t r i c t l y concave. ITI. Multiperiod r i s k proneness: P r o p e r t i e s analogous to 11. (a)-(c) c a n also be specified. The salient f e a t u r e of t h e t w o sets (a), (b) of conditions on multiperiod r i s k attitudes discussed in t h i s subsection i s t h a t t h e y r e q u i r e t r a d e o f f s assessments. P a r t of t h e assessment task i s t h e r e b y shifted from r i s k assessments t o tradeoffs assessments. 4.2 A b s o l u t e m u l t i p e r i o d risk c o n s t a n c y This section discusses t w o equivalent conditions o n multiperiod r i s k attitudes t h a t c o r r e s p o n d to t h e condition on single-period risk a t t i t u d e s of constant r i s k aversion (Arrow 1971, Pfanzagl1959, and P r a t t 1964). D e f i n i t i o n 3. P r e f e r e n c e s will b e said to b e absolute multiperiod r i s k constant f o r a p e r i o d t provided t h a t f o r any t h r e e p a i r s of amounts wt yt < yi < w; , zt < zj , and t h a t have equal absolute changes in value, if ( z t ) i s t h e c e r t a i n t y equivalent of <(wt ), (yt )>, t h e n ( z j ) i s t h e c e r t a i n t y equivalent of <(wi ), ( y i One p r o c e d u r e f o r verifying this condition i s t o s e l e c t amounts wt < yt )>. and assess t h e c e r t a i n t y equivalent (zt ) of <(wt ),(yt )>. Then, consider a n amount z; yt > zt , < y; assess two amounts w i ,yi s u c h t h a t t h e p a i r s wt < w i , zt < z; , and have equal absolute changes in value, and a s k whether (Zj ) i s t h e certain- t y equivalent of <(w/ ),( y i ) >. A second condition equivalent to t h a t of absolute multiperiod r i s k constancy is t h e condition of utility independence introduced by Pollak (1967) f o r multiperiod models and by Keeney (1968), (1974) f o r multiattribute models. Consider those lot- t e r i e s having consequences of t h e form ( x t , z ) where z i s a n amount in a fixed period s o t h e r than period t . Period t i s said to be u t i l i t y i n d e p e n d e n t of t h e period s provided that (xt , z ) < (wt , z ' ) , ( y t ,z') > f o r any amount 2 < (wt , z ) , (yt , z ) > implies that (xt , z ') ;? z ' in period s, t h a t is, t h e attitude toward risk f o r period t i s independent of t h e fixed amount z in t h e period s. For a finite-period model or a multiattribute model, t h e equivalence of prop e r t i e s similar to (b) and (c) below i s discussed by Meyer and P r a t t (in Keeney and Raiffa 1976, p. 330) and in Pollak (1967), and t h e equivalence of p r o p e r t i e s similar to (b) and (d) below i s discussed in Keeney (1968), (1974) and Meyer (1970). Theorem 3. For a planning model of type (A)-(G), t h e following p r o p e r t i e s are equivalent: (a) There e x i s t s a period t f o r which p r e f e r e n c e s are absolute multiperiod r i s k constant. (b) There e x i s t periods s and t t h a t are utility independent. (c) P r e f e r e n c e s are r e p r e s e n t e d by a utility function (2) in which t h e function f i s linear or exponential, t h a t is, where t h e tradeoffs function v and t h e constant r are to be assessed. Here, v i s normalized so t h a t v (x* ) = 0. (d) P r e f e r e n c e s are r e p r e s e n t e d by a utility function (4) t h a t is additive or multiplicative, t h a t i s where t h e first-period utility function u and t h e constant a sessed. Here, u i s normalized so that: u (x*) >0 are t o be as- = 1 in t h e f i r s t case, u ( x * ) = 0 in the second case, and u(z*) = -1 in the third case. Moreover, a ( u ( z ) - 1 ) + I > O f o r a l l z i n 1 i n t h e f i r s t case, and a ( u ( z ) + 1 ) -1 < O f o r a l l z in I in the t h i r d case. Note: A s is w e l l known, a utility function in p a r t s (c), (d) is multiperiod risk a v e r s e in t h e third cases and i s multiperiod risk prone in t h e f i r s t cases. 5. Relative Mdtiperiod Risk This section discusses p r e f e r e n c e conditions on relative ( o r proportional) changes in one o r more periods. These p r e f e r e n c e conditions are analogous t o the p r e f e r e n c e conditions discussed in the preceding section on absolute changes. P r e f e r e n c e conditions on relative changes a p p e a r t o b e more realistic than p r e f e r e n c e conditions on absolute changes f o r many problems, in particular, f o r those problems in which t h e degree of risk aversion f o r one period d e c r e a s e s as the amounts in t h e o t h e r periods become more favorable. Consider a planning model of type (A)-(G) having a least p r e f e r r e d standard amount z*. Relative changes will b e measured with r e s p e c t t o z* as t h e amount having "zero value." For example, a n amount z: will b e said t o have "one-half the value" of an amount z-t2 provided t h a t z: is t h e tradeoffs midvalue of z * and ~ zt2 . Typically, z* will b e less than any amount of zt t h a t has an appreciable chance of occurring. A s a n illustration, suppose t h a t zt describes t h e amount of consumption of a non-renewable r e s o u r c e (e.g., helium) during period t . Then, z* might b e chosen as the outcome of no consumption o r of a specified minimal level of consumption of t h e r e s o u r c e being studied. 5.1 Relative mdtiperiod risk neutrality and aversion This subsection discusses risk attitudes involving relative changes in value t h a t are analogous to t h e risk attitudes of neutrality, aversion, and proneness discussed in Section 4.1. Relative changes in value can be defined by means of t h e concept of a "stand a r d sequence." Krantz et al. (1971) contains an extensive discussion of this idea in a more general setting. An increasing sequence of amounts in a period t will be called a s t a n d a r d sequence provided t h a t the pairs zf -I, z f , k = 1 ,...,n , have equal absolute changes in value (Definition 2 ) . For a planning model of type (A)-@'),a sequence of amounts is a standard sequence if and only if v ( z f ) - v (zf -I) is constant f o r k = 1,...,n . Thus, a sequence of amounts is a standard sequence in a period t if and only if i t is a standard sequence in any o t h e r period. Definition 4. P a i r s of amounts zt , z ; and y t ,y ; not equal t o z* will b e said t o have equaL reLative changes i n v a l u e provided t h a t f o r any two standard sequences zp<z;<...<zT with t h e initial amounts zp then zj < z? if and y p < y ; < . . . < y p = y p = z * , if and only if yj < yp. zt = zr and yt = y r f o r some m <n, In particular, an amount Zt will be called the reLative tradeofls midvaLue of two amounts zt < z; provided t h a t t h e p a i r s of amounts zt ,Zt and Zt ,zi .have equal relative changes in value. Lemma 3. For a planning model of type (A)-@'), yt , y j two p a i r s of amounts zt.z; and have equal relative changes in value if and only if v (2; ) v ( y ; ) = p v ( y t ) f o r t h e s a m e constant p two amounts zt f o r t h e same p > 0. =pv (zt) and The relative tradeoffs midvalue of < zj is t h e amount zt such t h a t v (St ) = p v (zt) and v (2; ) = p v (zt) > 0. The statements of Lemma 2 are t r u e with the adjective "rela- tive" added t o the terms "equal changes in value" and "tradeoffs midvalue." Suppose t h a t a period t has been chosen and t h e relative tradeoffs midvalue St of two amounts zt < zj has been assessed. Relative multiperiod risk attitude can b e defined as in p a r t s (a) of Theorem 4 below by comparing t h e "average" consequence (st)with the l o t t e r y < (zt),(zj ) >. The situation is analogous to t h a t f o r absolute multiperiod r i s k attitudes. In particular, the discussion in Section 4.1 on standard-gamble methods of verification is equally pertinent in t h e present context. The condition (a) below of relative multiperiod risk neutrality corresponds t o t h e single-period risk attitude of logarithmic utility (Harvey 1981, 1986b). Relative multiperiod r i s k attitudes can also b e defined by considering t h e same amount in s e v e r a l different periods. For technical reasons, we will consider not only actual periods t but also imaginary periods t having a r b i t r a r y timing weights, 0 < at < 1. With al timing weights, at , t t h e non-restrictive assumption t h a t t h e sequence of actu- = 1 3 ,..., decreases t o z e r o as t increases, these imaginary periods correspond t o actual periods f o r a different choice of t h e unit of time. For a period t > 1 (actual o r imaginary), a period m where 1 < m <t will be called t h e temporal m i d v a l u e of the f i r s t period and period t provided t h a t t h e tradeoffs between periods 1 and m coincide with the tradeoffs between periods m and t (Harvey 1986a). For example, in a present value discounting model t h e temporal midvalue is t h e arithmetic mean, i.e., t h a t period m such t h a t m t =m + h f o r t h e same increase h . In a relative value discounting model t h e t e m - poral midvalue is the geometric mean, i.e., t h a t period m such that m t =k .m = 1 + h and = k . 1 and f o r the same proportional increase k . Consider a n amount z in one of t h e t h r e e periods 1 < m temporal midvalue of 1and t . <t where m is the Relative multiperiod risk attitudes can be defined as in p a r t s (b) of Theorem 4 by comparing t h e "average" consequence (2,) with the "risky"1ottery < ( z l ) , ( z t ) > w h e r e z = z l =z, = z t . Theorem 4. For a planning model of type (A)-(G) having a least p r e f e r r e d standard amount, t h e p r o p e r t i e s within each of t h e following p a r t s (1)-011) a r e equivalent. I. ReLative m u t t i p e r i o d r i s k n e u t r a l i t y : < zi ) >. (a) There exists a period t such t h a t f o r any amounts zt t h e consequence (St) is indifferent t o t h e lottery < (zt),(z; not equal t o z* (b) For any period t z * , t h e consequence (2,) > 1 (actual o r imaginary) and any amount z not equal t o i s indifferent t o the l o t t e r y temporal midvalue of 1and t , and z < ( z l ) , ( z t ) > where m is the = z l = z, = zt. (c) P r e f e r e n c e s are r e p r e s e n t e d by a utility function (2) in which t h e function f i s logarithmic, t h a t is, where t h e tradeoffs function v i s t o be assessed. Here, v is normalized s o t h a t v(z*) = 0. (d) P r e f e r e n c e s are r e p r e s e n t e d by a utility function (4) of t h e form where t h e first-period utility function u and t h e constant c Here, u (z*) = > 0 are t o be assessed. -- and u (z+) = +-. 11. ReLative muLtiperiod r i s k a v e r s i o n : (a) There exists a period t such t h a t f o r any amounts zt t h e consequence (St) i s p r e f e r r e d t o t h e lottery (b) For any period t > 1 (actual not equal t o z * < ( z t ) , ( z i ) >. o r imaginary) and any amount z not equal t o z * , t h e consequence (z, ) i s p r e f e r r e d t o t h e lottery temporal midvalue of 1and t , and z < z; < (zl), (zt ) > where m is the = zl = z, = zt . (c) P r e f e r e n c e s are r e p r e s e n t e d by a utility function (2) o r (4) such t h a t the composite function f oexp i s s t r i c t l y concave. 111. ReLatiue muLtiperiod r i s k proneness: P r o p e r t i e s analogous t o 11. (a)-(c) can also be specified. 5.2 R e l a t i v e m u l t i p e r i o d r i s k constancy This subsection discusses two equivalent conditions on multiperiod risk attitudes t h a t correspond t o t h e single-period risk attitude of linear r i s k aversion (Harvey 1981, 1986b) and constant proportional risk aversion ( P r a t t 1964). Definition 5. P r e f e r e n c e s will be said t o be r e l a t i v e m u l t i p e r i o d r i s k c o n s t a n t f o r a period t provided t h a t f o r any t h r e e p a i r s of amounts wt yt < yi < w; , xt < xi , and t h a t have equal r e l a t i v e changes in value, if ( x t ) i s t h e c e r t a i n t y equivalent of < (wt ), (yt ) >, then (x; ) is t h e c e r t a i n t y equivalent of < (w; ),(y; ) >. This p r e f e r e n c e condition i s similar t o t h e multiattribute r i s k condition of proportional utility dependence defined in Harvey (1984). I t may be verified by means of t h e procedure t h a t i s described in Section 4.2 f o r t h e condition of absolute multiperiod r i s k constancy; t h e only modification i s t h a t h e r e t h e p a i r s wt < w j , xt < x i and yt < yi have equal relative changes in value r a t h e r than equal absolute changes in value. A second condition equivalent t o t h a t of r e l a t i v e multiperiod r i s k constancy c a n b e defined as follows. For e a c h period, t = 1.2, ..., t h e p r e f e r e n c e relation 2 on infinite-period l o t t e r i e s induces a p r e f e r e n c e relation on those l o t t e r i e s having consequences of t h e type (xt ). For t h e discussion of utility independence in Section 4.2, t h e issue was whether t h e p r e f e r e n c e relation 3 i s t h e same as a p r e f e r e n c e relation on l o t t e r i e s having consequences (xt , z ) where z # z* i s a fixed amount in a n o t h e r period. Now, consider t h e issue of whether t h e p r e f e r ence relation & i s t h e s a m e as t h e p r e f e r e n c e relation as f o r a n o t h e r period s. I t will b e said t h a t t h e periods a r e t i m i n g i n d e p e n d e n t provided t h a t f o r any two periods s and t (actual o r imaginary) t h e p r e f e r e n c e relations at and 2, are t h e same. For a multiattribute model, t h e equivalence of p r o p e r t i e s similar to (a) and (d) below i s discussed in Harvey (1984); f o r a group decision model, t h e equivalence of p r o p e r t i e s similar t o (b) and (d) i s discussed in Harvey ( 1 9 8 5 ~ ) . Theorem 5. For a planning model of type (A)-(G) having a l e a s t p r e f e r r e d stand a r d amount, t h e following p r o p e r t i e s are equivalent: (a) There exists a period t f o r which p r e f e r e n c e s are relative multiperiod risk constant. (b) The periods are timing independent. (c) P r e f e r e n c e s are r e p r e s e n t e d by a utility function (2) in which t h e function j ' i s logarithmic o r power, t h a t is, where t h e t r a d e o f f s function v a n d t h e constant r are t o b e assessed. H e r e , v i s normalized so t h a t v (z* ) = 0. (d) P r e f e r e n c e s are r e p r e s e n t e d by a utility function (4) t h a t i s logexponential or power-root,that is, where t h e first-period utility function u and t h e constants c assessed. Here, u i s normalized s o t h a t u (z*) > 0 and r are t o be = 0 in t h e f i r s t c a s e , and u (Z +) = 0 in t h e t h i r d case. Note: I t follows from Theorem 2 and 4 t h a t a utility function in p a r t s (c), (d) is multiperiod r i s k a v e r s e if r < 1and i s r e l a t i v e multiperiod r i s k a v e r s e if r < 0. 6. Hultiperiod Tradeoffs This section d e s c r i b e s f o u r p r e f e r e n c e conditions on multiperiod tradeoffs. Each condition i s equivalent t o a s p e c i a l form f o r t h e t r a d e o f f s function v and hence to s p e c i a l forms f o r the utility functions (2) and (3) t h a t contain v . The spec i a l forms f o r (2) are immediate in t e r m s of v whereas t h o s e f o r (3) r e q u i r e t h e calculation of v These r e s u l t s follow by combining r e s u l t s in Harvey (1985a). (1986a), and hence are only summarized h e r e . The terminology is chosen t o b e consistent with t h a t in Sections 4, 5 and t h a t in Harvey (1986b). Consider a p a i r of base amounts z , and zt in two periods s , t where z , is fixed and t h e e f f e c t s of changes in z t a r e t o b e examined. For a change w , in period s , t h e corresponding change wt in period t such t h a t is called the "t tradeons amount f o r the change w , , and i s denoted by =S(ws;s,t,zt). If w t does not depend on t h e base amount z t , t h a t is, w t = W ; f o r any W; = f ( w , ; s , t ,zi ), then t h e r e is said t o be absolute tradeons independence. If wt -W; depends only on the difference zt - z ; and on the tradeoffs amount w t , then t h e r e is said t o be absolute tradeofls constancy. P r e f e r e n c e s are in accord with the condition of absolute tradeoffs independence if and only if t h e r e i s a tradeoffs function of the form where z* is finite. Then, the utility function ( 3 ) has t h e special form P r e f e r e n c e s are in a c c o r d with the condition of absolute tradeoffs constancy if and only if t h e r e is a tradeoffs function of the form where z* can b e -= if q is ( 6 ) if q = 0 o r if q > 0 and can be += if q < 0. Then, t h e utility function ( 3 ) # 0 i s of t h e special form I t is also possible t o consider relative changes in the amounts z t , o r more generally relative changes in amounts yt = zt + c > 0 where c is a constant t o be specified o r evaluated. The amounts yt can be interpreted e i t h e r as sums, i.e., zt + z 0 where z0= -C z0 = c i s a n "asset position," or as differences, i.e., zt - z0 where i s a "point of ruin." Suppose t h a t f o r a b a s e amount yt = zt +c in p e r i o d t and a change w , in period s t h e r e i s a p r o p o r t i o n pt such t h a t (z,, Zt + p t y t ) " ( 2 , + w,, z t ) . Then, pt i s called t h e tradeofls proportion f o r t h e change w,, and i s denoted by Pt = g ( w , ; s , t , z t ) . If pt does n o t depend on t h e b a s e amount z t , t h a t i s , pt = p i f o r any pi = g (w,; s ,t ,zi pt - pi ), t h e n t h e r e i s said t o b e relative tradeofls independence. If depends only on t h e r a t i o yt / y i and on t h e t r a d e o f f s p r o p o r t i o n pt , then t h e r e i s said to b e relative tradeofls constancy. P r e f e r e n c e s are in a c c o r d with t h e condition of r e l a t i v e t r a d e o f f s independ e n c e if and only if t h e r e i s a t r a d e o f f s function of t h e form where -c < z * < +a. Then, t h e utility function ( 3 ) h a s t h e s p e c i a l form P r e f e r e n c e s are in a c c o r d with t h e condition of r e l a t i v e t r a d e o f f s constancy if and only if t h e r e i s a t r a d e o f f s function of t h e form (zt + c ) q - (z* + c)q , q >0 v ( z t )= ' log((zt + c ) / ( z * + c ) ) , q = O -(zt + c)q + ( z * + c)q , q <0 I where z* c a n b e -c if q i s ( 8 ) if q = 0 or if q > 0 and can b e +a if q # 0 i s of t h e s p e c i a l form < 0. Then, t h e utility function ( 3 ) E a c h of t h e a b o v e conditions on multiperiod t r a d e o f f s i s equivalent t o a condition on a t t i t u d e toward i n t e r t e m p o r a l equity. F o r example, t h e r e i s absolute t r a d e o f f s independence if a n d only if t h e r e i s a n a t t i t u d e of intertemporal i n e q u i - t y n e u t r a l i t y , t h a t i s , a n y two indifferent consequences (2: , z t ) and (z, ,z; ) are 1 indifferent t o t h e "equable" consequence (?(I, + z; ). +(zt 2 + zi )). 7. First-Period Risk This s e c t i o n briefly d e s c r i b e s f o u r p r e f e r e n c e conditions on r i s k a t t i t u d e s f o r consequences ( z l ) having a n amount z l in t h e f i r s t p e r i o d a n d s t a n d a r d amounts z * in t h e o t h e r periods. These conditions are r e s t a t e m e n t s (with new terminology) of t h e conditions on single-attribute r i s k a t t i t u d e s t h a t are r e f e r e n c e d in Section 4.2 a n d 5.2. E a c h condition i s equivalent t o a s p e c i a l form f o r t h e first-period utility function u , a n d h e n c e t o s p e c i a l forms f o r t h e utility functions (3) and (4). F o r two amounts zl and p o i n t of z l and zi t h e r i s k midpoint Zi defined by sl of z l , z i in t h e f i r s t period, l e t - (si) < ( z l ) , ( z i ) >. sl denote t h e r i s k mid- If f o r any amounts z l and zi i s t h e a v e r a g e of z a n d z i , t h e n t h e r e i s said t o b e first-period r i s k n e u t r a l i t y . If f o r any (absolute) c h a n g e h , t h e r i s k midpoint of zl +h and Zi +h is sl + h , t h e n t h e r e i s said t o b e absolute first-period risk constancy. T h e r e i s first-period r i s k n e u t r a l i t y if a n d only if u ( z l ) = z i s a first-period utility function. T h e r e i s first-period r i s k constancy if a n d only if t h e r e i s a first-period utility function of t h e form f o r some amount of t h e p a r a m e t e r r . Conditions on first-period r i s k a t t i t u d e s c a n a l s o b e defined b y considering p r o p o r t i o n a l c h a n g e s in t h e amounts y l = zl + c > 0 where specified o r evaluated. If f o r any amounts zl and z; c i s a constant t o b e t h e r i s k midpoint of zl and z; i s t h a t amount such t h a t + c = k ( z l + c ) and z; + c = k(G1 + c ) f o r t h e same proportion k , then t h e r e i s said t o be relative first-period r i s k n e u t r a l i t y . If f o r any relative change k t h e risk midpoint of z is + k ( z + c ) and z i + k ( z i + c ) sl + k ( z l + c ) , then t h e r e i s said t o be r e l a t i v e f i r s t - p e r i o d There i s relative log(zl + c) first-period r i s k neutrality r i s k constancy. if and only if u (zl) = i s a first-period utility function. There is relative first-period risk constancy if and only if t h e r e is a first-period utility function of t h e form f o r some amount of t h e p a r a m e t e r r 8. Examples of Planning Models This section specifies a number of planning models t h a t include t h e following p r e f e r e n c e issues: (i) t h e importance of t h e f u t u r e , (ii) intertemporal equity, (iii) first-period r i s k , and (iv) multiperiod risk. P r e f e r e n c e conditions from Sections 4-7 are assumed concerning t h e issues (ii)-(iv). For each of t h e resulting models, e i t h e r t h e p r e f e r e n c e condition of p r e s e n t value discounting o r t h a t of relative discounting can be used. Thus, i t is not necessary t o discuss h e r e t h e issue (i) of t h e importance of t h e future, even though this issue i s included in t h e models. One planning model i s t h a t in which t h e r e is absolute tradeoffs independence, first-period risk neutrality, and multiperiod risk neutrality. Such p r e f e r e n c e s are r e p r e s e n t e d by t h e utility function t h a t i s often used in cost-benefit studies and risk analysis studies. This model may be r e g a r d e d e i t h e r as excluding all t h r e e of t h e p r e f e r e n c e issues (ii)-(iv) o r as formulating these issues in t h e simplest possible manner. From e i t h e r viewpoint, t h e model i s as simple as possible. The next simplest models would b e those t h a t assume a p r e f e r e n c e condition o t h e r than t h e above f o r only one of t h e issues (ii)-(iv). However, such models are inconsistent according to t h e following result. Theorem 6. For a planning model of type (A)-(G), any two of t h e p r e f e r e n c e conditions: absolute tradeoffs independence, first-period r i s k neutrality, and multiperiod r i s k neutrality, imply t h e third. Thus, any model t h a t assumes a n o t h e r condition f o r one of t h e issues (ii)-(iv) must assume a n o t h e r condition f o r at l e a s t one o t h e r of these issues. First, consid- e r those models which include t w o of t h e issues (ii)-(iv) in t h e sense t h a t only one of the conditions in Theorem 6 i s assumed. Theorem 7. For a planning model of type (A)-(G): (a) If t h e r e i s multiperiod risk neutrality, then t h e attitude toward intertemporal equity coincides with t h e attitude toward first-period r i s k , t h a t is, v = u. (b) If t h e r e i s absolute tradeoffs independence, then t h e attitude toward multiperiod r i s k coincides with t h e attitude toward first-period r i s k , t h a t is, f =u. (c) If t h e r e i s first-period r i s k neutrality, then t h e attitudes of intertemporal inequity aversion and multiperiod risk aversion are inconsistent. As a n example of p a r t (a), consider a planning model having a n intermediate s t a n d a r d amount. The p r e f e r e n c e conditions of: (1) multiperiod r i s k neutrality and (2) e i t h e r relative tradeoffs independence or relative first-period risk neutrality, imply t h a t p r e f e r e n c e s are r e p r e s e n t e d by t h e utility function U(x1,z2, ...) = log- zl+c x* +c + a 21og z2+2 z +... (11) A s a n example of p a r t (b), consider a planning model having a least p r e f e r r e d s t a n d a r d amount. The p r e f e r e n c e conditions of: (1) absolute tradeoffs independence and (2) e i t h e r relative multiperiod r i s k neutrality or relative first-period r i s k neutrality with r e s p e c t to y t = xt - z * imply t h a t p r e f e r e n c e s a r e r e p r e s e n t - e d by t h e utility function U(z1,z2, ...) = log( ( z l -z*) + a2(z2-z*) + - - . 1 . Next consider those planning models which include all t h r e e of t h e p r e f e r e n c e issues (ii)-(iv) in t h e sense t h a t none of the t h r e e p r e f e r e n c e conditions in Theorem 6 a r e assumed. A s a n example of such a planning model having a n intermediate standard amount, consider t h e following conditions: (1) There is absolute multiperiod risk constancy ( o r utility independence), and t h e r e i s multiperiod risk aversion. (2) There is relative tradeoffs independence with r e s p e c t t o yt = zt + c . (3) There is relative first-period risk constancy with r e s p e c t t o yt = zt + c , and t h e r e is relative first-period risk aversion. Theorem 8. Any two of t h e above conditions (1)-(3) imply t h e third. P r e f e r e n c e s satisfy t h e conditions (1)-(3) if and only if p r e f e r e n c e s a r e r e p r e s e n t e d f o r some r < 0 by a utility function of t h e form U ( z l , z 2,...) = - e x p ( r [log- Z1+C z * +C +a210g- Note: Here, t h e attitude toward risk in a period function u t ( z t ) = -(zt Z 2+C z* +C +...I) . (13) t is represented by t h e utility + ~ ) ' ~ ' , r< 0. Thus, the d e g r e e of risk aversion is less f o r periods in the more distant future. A s a n example of a planning model having a least p r e f e r r e d standard amount such t h a t all t h r e e of the issues (ii)-(iv) a r e included, consider the following conditions: (1) There is relative multiperiod r i s k neutrality. (2) There is relative tradeoffs constancy with r e s p e c t t o yt = zt - z* (3) There is relative first-period risk neutrality. Theorem 9. Any two of t h e above conditions (1)-(3) imply t h e third. P r e f e r e n c e s satisfy t h e conditions (1)-(3) if and only if preferences a r e r e p r e s e n t e d f o r some q > 0 by a utility function of t h e form Note: Here, u (zt ) = log(zt the -z*) periods are timing independent (Section 5.2), and i s a utility function f o r any period t conditional on z, = z* f o r all s # t . The d e g r e e of r i s k aversion in a period t is less f o r fixed amounts in the o t h e r periods t h a t are more p r e f e r r e d . There i s a n attitude of intertemporal inequity aversion if and only if 0 < q < 1. A p p e n d i x A: G e n e r a l Planning M o d e l s This appendix lists t h e p r e f e r e n c e conditions f o r t h e expected-utility planning model in Theorem 1 and provides a proof of t h a t result. The definition of t h e set C* and t h e conditions (A)-(E) are as in Harvey (1986a). Conditions (F), (G) are added in t h e p r e s e n t paper. The p r e f e r e n c e relation 2 defined on the set L of infinite-period l o t t e r i e s i s assumed t o be a p a r t i a l o r d e r , i.e., reflexive and transitive, and t o b e s t r i c t l y increasing in t h a t l a r g e r amounts zt in e a c h period, t = 1.2, ..., are p r e f e r r e d . The following definition specifies t h a t subset of infinite-period consequences on which tradeoffs between t h e periods are considered. Definition A l . c The set C* consists of those infinite-period consequences = (z1,z2, ...) in C such that: (a) For any z i > z l, t h e r e exists an N such t h a t (b) For any - cn <zl, t h e r e exists a n N such t h a t = ( ~ , zi2,...,2, , z * ~+ l , ~ * n+2 s...) 2 c f o r all n 2N . The tradeoffs conditions (A)-(E) below are used t o establish t h e value function (1) f o r infinite-period consequences in the set C* . (A) The p r e f e r e n c e relation ,> i s a complete ordering on t h e set C*. (B) The p r e f e r e n c e relation 2 i s continuous on P in e a c h variable. (C) Each p a i r of adjacent variables zt , z t +1, t dependent on C* of t h e o t h e r variables. = 1.2, ..., i s preferentially in- (D) Each consequence c = ( z l , z 2...) , in C t h a t s a t i s f i e s t h e following conditions i s in t h e set C*. (a) F o r any z ; > z C, t h e r e exists a n N such that + 2 C , = ( Z ,..., z , ,z*, + l r ~ *+2,...) n f o r all m ,n (b) F o r a n y 2N . z i < z l , t h e r e exists a n N such that - c , )?c, = ( z l,...,z n , z * n + l , z * n + 2,...) f o r a l l m , n > = N . ( E ) Any two p e r i o d s s , t have equal t r a d e o f f s comparisons, i.e., f o r a n y two p a i r s of amounts z 1 < z 2 and z 3 < z 4 in I , if s o c i e t y i s willing t o tradeoff more t o i n c r e a s e z, from z 1 t o z 2 t h a n t o i n c r e a s e z, from z 3 t o z 4 in period s , t h e n soc i e t y i s willing t o tradeoff more t o i n c r e a s e zt from z 1 t o z 2 t h a n to i n c r e a s e zt from z t o z in p e r i o d t . Lemma A l . A planning model satisfies t h e conditions ( A ) - @ ) on t r a d e o f f s if and only if t h e p r e f e r e n c e r e l a t i o n 2 r e s t r i c t e d t o t h e set C* of consequences is r e p r e s e n t e d by a value function ( 1 ) as d e s c r i b e d in Lemma 1 where f o r a n intermediate amount z * t h e r a n g e of t h e t r a d e o f f s function v i s (--,-), f o r a least pre- f e r r e d amount z * t h e r a n g e of v i s [ O , - ) , a n d f o r a most p r e f e r r e d amount z * t h e r a n g e of v i s (--,O]. Proof. F o r a model having a n intermediate s t a n d a r d amount, it i s shown in Harvey (1986a) t h a t conditions (A)-(E)are equivalent t o t h e e x i s t e n c e of a value function as d e s c r i b e d in Lemma 1. F o r a model having a n e x t r e m e s t a n d a r d amount, a simil a r argument c a n b e used to establish t h i s equivalence. Thus, f o r e a c h t y p e of planning model, i t remains t o show t h a t condition (F) i s equivalent t o t h e p r o p e r t y t h a t t h e r a n g e of v i s t h e a p p r o p r i a t e i n t e r v a l (-a,=), [O,-), or (--,O]. F o r a model having a n intermediate s t a n d a r d amount, t h e r e e x i s t s amounts z > z* and z <z* in t h e open i n t e r v a l I. Condition (F) implies t h a t f o r any conse- quence c = ( zl , z z , z * 3,z* 4 , . . . ) t h e r e e x i s t s a n z i in I s u c h t h a t ( zi ) -- c , t h a t is, v ( z i )= v ( z l )+ a2v( z 2 ) .Choosing a fixed z z < z * o r z z > z * , i t follows t h a t t h e r a n g e of v i s unbounded a b o v e a n d below. Thus, since v i s continuous t h e r a n g e of v is c (--,a).Conversely, if t h e r a n g e of v i s (--,a),t h e n f o r a n y consequence = (z1,z2 ...), with a c o n v e r g e n t value function V ( c ) t h e r e e x i s t s a consequence ( z ;) with v ( x i ) = V ( c ) , a n d t h u s condition (F) i s satisfied. F o r a model having a n e x t r e m e s t a n d a r d amount, t h e r e e x i s t s amounts x <z* or x > x* r e s p e c t i v e l y in t h e half-open i n t e r v a l I . By a n argument similar to t h a t above, condition (F) i s satisfied if and only if t h e r a n g e of v i s [ O , w ) or (-=,O]. Proof of Theorem 1. F i r s t , c o n s i d e r a model having a n intermediate s t a n d a r d amount. Assume conditions (A)-(G). Then, t h e r e i s defined on t h e set C* a value function V ( z 1 , z 2...) , as in Lemma 1 with v ( I ) = ( - = , = ) and a utility function U ( z 1 , 2,...). ~ I t follows t h a t U ( x l r x 2,...) = f (V(Z1 , 2 ,~. . . ) )f o r some s t r i c t l y increasing function f defined on (-w, w). The second p a r t of condition ( G ) , i.e., t h a t e v e r y l o t t e r y h a s a c e r t a i n t y equivalent, implies t h a t t h e r a n g e o f f i s a n interval. Since f i s increasing, i t follows t h a t f i s continuous. Hence, U i s of t h e form ( 2 ) . Suppose t h a t u ( z l ) denotes t h e conditional first-period utility function defined by u ( ~ ~ ) = U ( x ~ , z ,... * ). ~ , zF o* r~ any consequence CC , v -'(v(c)) i s a well-defined amount in I and c - c = ( z l r z,...) 2 in ( v -'(v(c)), z * ~ , z * ...). ~ , There- . .a. v) - l ( V ( ~ ) ) and , t h u s U i s also of t h e f o r e , U ( c ) = U ( v - 1 ( ~ ( ~ ) ) , ~ * 2 , ~ *=3 , u form ( 3 ) . F o r a n y consequence c T h e r e f o r e , v ( z )= f = ( z l , z * 2 , z * 3 , . . . ) ,u ( z l ) = U ( C )= f ( v (2')). u ( z )f o r all z in I , and t h u s U i s of t h e form ( 4 ) . Conversely, if t h e r e e x i s t s a value function V and a utility function U as d e s c r i b e d in Theorem 1 , t h e n conditions (A)-(E) follow from t h e value function and condition (G) follows from t h e utility function. T h e r e f o r e , i t remains to i n f e r condition (F). The form ( 3 ) of U implies t h a t t h e r a n g e of V i s contained in t h e domain of v-'. However, t h e domain of v-' i s by definition t h e r a n g e of v . Thus, f o r any consequence (z1,z2 ...) , in CS there e x i s t a n amount z ; in I such t h a t V ( z l , z * 2 , z * 3...)= v ( Z i ), a n d condition (F) i s established. Second, c o n s i d e r a model having a n e x t r e m e s t a n d a r d amount. Most of t h e arguments are similar to t h o s e f o r a model having a n intermediate s t a n d a r d amount, and t h u s i t suffices t o b e b r i e f e x c e p t f o r points of difference. Assume conditions (A)-(G). Then, t h e r e i s defined on t h e set C* a value function V with v ( I ) o r v ( I ) = (-w,O], and t h e r e i s defined on t h e set C* tion U . I t follows t h a t U = LO,-) - l ( z * ' , z L 2 , . . . ) a utility func- = f V f o r some continuous, s t r i c t l y increasing function f defined on (O,=) o r ( - w , O ) . 9 Thus, U i s of t h e form ( 2 ) . The forms ( 3 ) a n d ( 4 ) now follow with t h e first-period utility function u (z l) = U(z l,z* 2,z*3,...) defined on t h e i n t e r i o r of I. The converse arguments are similar t o those f o r a model having a n intermediate standard amount. Appendix B: Proofs of Results on Preference Conditions This appendix contains t h e proofs of Lemma 2, 3 and Theorems 2-5 in Sections 4, 5, and Theorems 6-9 in Section 8. Some of these proofs use t h e following impli- cations f o r a function g gp -( 1 + ~z ,) = 1 1 g (Tz 1 + ?Z 2) > cave (see, e.g., g(zl + A) = 1 -g (z l) 2 1 -g (z l) 2 t h a t i s defined and continuous on a n interval: 1 + ~g (z 2) 1 + ?g if and only if g i s linear, f o r all z 1.2 (z 2) f o r all z # z if and only if Hardy et al. 1934), and g (zl) 1 1 T ~ ( +ZA ~ ) + 2g(z3 + A) f o r all g i s s t r i c t l y con- 1 1 = ~g (z2) + ~g + Z ~ + ~ , . . . . Zh~ if (23) implies and only if g is . linear o r exponential (see, e.g , Pfanzagl1959). Proof of Lemma 2. By Lemma A l , t h e range of t h e tradeoffs function z i s ( - w , ~ ) ,[O,w), o r (-w,O]. Thus, f o r two amounts zt < z; in a period t , the amount st defined by i s t h e tradeoffs midvalue of zt ,zi since f o r another period s t h e r e exist amounts z < z' such t h a t , f o r example, asv(2') t h e tradeoffs midvalue of z t ,zi - asv(z) = at v (st)- at v (zt). Moreover, is unique since v i s s t r i c t l y increasing. The remaining p a r t s of Lemma 2 may be established by similar arguments. Proof of Theorem 2. Conditions (A)-(G) imply by Theorem 1 t h a t p r e f e r e n c e s can be r e p r e s e n t e d by utility functions of t h e forms (2) and (4). First, i t will b e shown t h a t e a c h of t h e p r e f e r e n c e conditions (a), (b) in p a r t s I, 11, i s equivalent t o t h e corresponding p r o p e r t y (c) of t h e multiperiod r i s k function f in (2). Consider condition (a). vO For a p a i r of amounts zt = at v (zt),vl = atv (zi ) and = at v (zt). Then, 1 = -v 2 < zi 0 in period t , let 1 1 + -v . 2 Thus, condi- 1 0 tion (1.a) is equivalent t o f (?v 1 + ~v 1) ' = Lf (vO) + $f (v ') f o r all v 0 < v in t h e 2 interval v ( I ) which is equivalent t o f being linear on ~ ( 1 ) .Similarly, (I1.a) i s equivalent t o f being s t r i c t l y concave on v (I). Consider condition (b). For p a i r s of amounts z, ,z,' let v O = a,v (2,) = a t v ( z t ) and v1 = a,v (2; equivalent t o f ( v O+ v l ) = $f (2v0) + and zt , z i as described, = atv ( z i ). Then, condition (1.b) i s ) 5f (2v1) f o r all v 0 < v1 in v ( I ) which i s equivalent t o f being linear on ~ ( 1 ) .Similarly, (1I.b) is equivalent t o f being s t r i c t l y concave on v (I). Next, i t will be shown t h a t p r o p e r t y (1.c) i s equivalent t o p r o p e r t y 0.d). If there exists an additive utility function U(zl,z2, ...) as in (I.c), then u (21) = U(zl,zS2,z* 3,...) equals v (zl), and thus t h e r e exists a n additive utility function as in (1.d). The converse argument i s similar. Proof of Theorem 3. First, i t will be shown t h a t e a c h of t h e conditions (a), (b) i s equivalent t o p r o p e r t y (c) of t h e multiperiod risk function f Consider v& condition (a). Let v, . = atv ( w t ) ,..., vk = a t v( ~ ).i Then, . = vw + h , v; = v, + h and v$ = vy + h f o r some constant h . There i s ab- 1 (v, ) solute multiperiod r i s k constancy if and only if f (v, ) = ~f + h ) = 2.1f f (v, (vW + h ) + 1 yf (up + h ). This 1 (vy ) implies + ~f implication i s satisfied if and only if f i s as described in (c). Consider condition (b). h = a, v (z ) and h ' and only 1 $'(v, if For tradeoffs amounts z , z ' in a period s, let = a, v ( z '). Period f(v, +h) + h ' ) + +(vy + h ' ) 2 1 Ff(vw t i s utility independent of the period s if +h) + 91 ( v y +h) implies f(v, + h ' ) ?_ f o r any h'. This implication i s satisfied if and only if f i s as described in (c). Next i t will b e shown t h a t (c) i s equivalent to (d) with t h e cases r and r < 0 in (c) corresponding t o t h e t h r e e cases in (d). The case r t r e a t e d in Theorem 2. > 0,r = 0, = 0 i s already Proof of Theorem 4. First, i t will be shown t h a t each of the p r e f e r e n c e conditions (a), (b) in p a r t s I, 11 is equivalent t o t h e corresponding p r o p e r t y (c) of the multiperiod risk function f' in (2). Consider condition (a). For a p a i r of amounts zt v 0 = a t v ( z t ) , v1 = a t v (z; ), and not equal t o z* let v^ = a t v ( s t ) . Then, v^ = tion (1.a) is equivalent t o f' ((vOvl)l/ ') v (I) <zj Thus, condi- = Lf' (vO) + Lf' (vl) f o r all v 0 < v1 in 2 2 = (O,=) which is equivalent t o f' being logarithmic on v (I). Similarly, condi- tion (I1.a) is equivalent t o f' oexp being s t r i c t l y concave on t h e interval (-=,=). Consider condition (b). For a period t (actual o r imaginary) with an a r b i t r a r y timing weight, 0 v = a,v (z,) < at < 1,and a n amount z > z*, l e t where z = z l v1 = v (zl), v t = at v ( z t ) , and = z, = z t . Any two numbers, v1 > v t > 0, can be represented in this manner. equivalent t o f'( ( v l v t )'I2) = Moreover, Af' (vl) + 2 equivalent t o f' being logarithmic. f = ( v l t ~ ~ ) l /Thus, ~. condition (1.b) is 5f'( v t ) f o r all v1 > v t in (On=) which is Similarly, condition (1I.b) is equivalent t o f' e x p being s t r i c t l y concave on the interval (-=,=). 0 Next, i t will be shown t h a t condition (1.c) is equivalent t o condition (1.d). If there exists a utility function U(zl,z2, ...) as in (I.c), then the function 6 ( z ) = logv ( z ) is a first-period utility function with 6 (z*) = -= and 6 ( z +) = +=. Suppose that u(z) f ( z ) = cu ( z ) + b is an assessed some constants c first-period utility function. Then, > 0 and b , and thus by substitution, Conversely, if t h e r e exists a utility function U ( Z ~ , ~ , . . .as ) in (I.d), then V^(z) = exp(cu ( 2 ) ) is a tradeoffs function with 6 ( z * ) = 0 and V^(z +) = +=. Suppose t h a t v is a n assessed tradeoffs function with v (z*) = 0. Then, f o r some constant a f(z) = a v (z) > 0, and thus by substitution U(zl,z2, ...) = log(v (zl) + a 2 v (z2) + . . . ) + loga . Proof of Theorem 5. First, i t will be shown that each of the conditions (a), (b) is equivalent t o p r o p e r t y (c) of t h e multiperiod risk function f' . Consider condition (a). pv, ,v; = pv,, and vf; Let v, = a t v ( w t ) , ...,vf; = p v (vy ) f o r t h e s a m e constant multiperiod risk constancy if and only if f (vz) 1 = J(pv,) f(pv,) + = atv(y;). p > 0. 1 = Tf (v, = There is relative 1 + ) Then v; Ff(vy ) implies This implication is satisfied if and only if f i s as $f(pvy). described in (c). Consider condition (b). For two actual o r imaginary periods s and p = at and p' = a,. t and s. periods f (pv,) 2 $f (pv,) + < (w ), (y) > Compare a consequence ( z ) and a l o t t e r y The periods are timing independent $f b u y ) implies f ( p l v . ) h $f (p'v,) + t , let if and only in if $f ( p l v y ) f o r all positive p ,pl,v, ,v, ,vy . Defining g by f ( v ) = g (Log v ) , i t follows t h a t t h e multi- plications replaced p v , , ...,pl vy can logp + log v, ,..., l o g p ' + log vy . if, with g (2) = e ", r > 0 ; z , r = 0 ; o r a positive by the additions This modified implication i s satisfied if and only linear -e be transformation, =,r < 0 . g is of the form Thus, t h e implication involving f i s sa- tisfied if and only if f is as described in (c). Next, i t will b e shown t h a t (c) i s equivalent to (d) with t h e cases r < 0 in and r (c) corresponding t o t h e t h r e e cases in (d). The case r > 0, r =0, = 0 i s already t r e a t e d in Theorem 4. Assume t h a t t h e r e e x i s t s a utility function U(z l,~2,...) as in (c) with r Then t h e function ; ( z ) negative values and 2 (z*) = ( ~ ( z ) ) ' i s a first-period utility function with non= 0 . Moreover, Suppose t h a t u i s a n assessed first-period utility function with u (z*) ;(z) > 0. = 0 . Then, = a u ( z ) f o r some constant a > 0, and thus by substitution into t h e above formula f o r U(zl,z2, ...) t h e f i r s t case of (d) follows. The argument t h a t (c) with r < 0 implies t h e third case of (d) is similar. Conversely, assume t h a t t h e r e i s a utility function U ( z l , z 2....) as in t h e f i r s t case of (d). v (z* ) Then, $ ( z ) = ( ~ ( 2 ) ) ' is defined f o r all z in I = 0 . Moreover, = [ z * , z + ) , and T h e r e f o r e , 6 i s a t r a d e o f f s function. Suppose t h a t v i s a n a s s e s s e d t r a d e o f f s function with v ( z * ) = 0. Then, 6 ( z ) = a v ( z ) f o r some constant into t h e above formula f o r U ( z l , z 2 , ...), t h e c a s e (c) with r a > 0. By substitution > 0 follows. The a r g u - ment t h a t t h e t h i r d case of (d) implies t h e t h i r d case of (c) i s similar. Proof of Theorem 6. The functions f ' , v , a n d u in Theorem 1 are r e l a t e d by U = f' v . Thus, if a n y two of t h e s e functions a r e l i n e a r , t h e n s o i s t h e t h i r d . 0 Proof of Theorem 7. If t h e multiperiod r i s k function f' i s l i n e a r , t h e n e x c e p t f o r a positive l i n e a r transformation u = v . If t h e t r a d e o f f s function v i s l i n e a r , t h e n e x c e p t f o r a positive l i n e a r transformation u = f'. if t h e single-period r i s k func- tion u i s l i n e a r , t h e n t h e two s t r i c t l y increasing functions f' a n d v cannot both be s t r i c t l y concave. Proof of Theorem 8. The p r e f e r e n c e conditions (1)-(3) are equivalent t o f'(V) = -elv r with < 0,v ( z ) = log(z + c ) , and u ( z ) = -(z + c ) q with q < 0, respectively (where f', v , a n d u are e a c h determined up t o a positive l i n e a r transformation). I t may b e verified t h a t since u = f' v a n y two of t h e s e forms im8 plies t h e t h i r d a n d t h a t a l l t h r e e of t h e s e forms are equivalent to t h e form (13) of U(z1.z2,...). Proof of Theorem 9. f' (V) = logV, v ( z ) = ( z H e r e , t h e forms v ( z ) The p r e f e r e n c e conditions (1)-(3) are equivalent to - z*)q = log(z with q > 0, and u ( z ) = log(z - z * ) and v ( z ) = -(z - z*)q - z * ), with q respectively. < 0 are exclud- e d s i n c e i t must b e possible t o normalize v s o t h a t v ( z * ) = 0. I t may b e verified that since u = f' 8 v a n y two of t h e s e forms implies t h e t h i r d and t h a t a l l t h r e e of t h e s e forms are equivalent to t h e form (14) of U ( z l,z2,...). 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