TRAINING WORKSHOP PROGRAM
OCTOBER 1, 2009
Instructors:
Dr. Raymond J.G.M. Florax, Purdue University and VU University Amsterdam
Dr. Henri L.F. de Groot, VU University Amsterdam
Dr. Klaus Moeltner, University of Nevada-Reno
Dr. T.D. Stanley, Hendrix College
Dr. Randall Rosenberger, Oregon State University
Sponsors:
U.S. Environmental Protection Agency
Oregon State University
Wednesday, September 30, 2009
Participants arrive
Thursday, October 1, 2009, LaSells Stewart Center, Agricultural Production Room
0800-0830
Registration
0830-0845
Welcome
(Randall S. Rosenberger, Oregon State University)
0845-1015
Module 1: Introduction to Meta-analysis and Data
(Henri L.F. de Groot, VU University)
This module introduces meta-analysis, its importance in public policy evaluation, contrasts
applications in economics with social science, health and other disciplines, and discusses how to
identify a research issue, search databases for literature, how to critically filter data, and how to
code and organize the metadata in a database.
1015-1030
Break with refreshments
1030-1200
Module 2: Classical Estimation Methods in Meta-Analysis
(Raymond J.G.M. Florax, Purdue University and VU University)
This module covers state-of-the-art applications of classical regression-based methods for
analyzing metadata, including issues pertaining to heterogeneity and dependence. Empirical
applications are presented to illustrate the importance of critical econometric analyses of
metadata.
1200-1300
Lunch (provided)
1300-1430
Module 3: Bayesian Estimation Methods in Meta-Analysis
(Klaus Moeltner, University of Nevada, Reno)
This module introduces and explains Bayesian methods for analyzing metadata, with empirical
applications. The module focuses on three common challenges of meta-analytical research, and
on how they can be addressed in a Bayesian estimation framework. The three topics are: (i)
Using informed priors to deal with small samples, (ii) Working with regressor-deficient subsets
of data, and (iii) using Bayesian model selection to deal with the issue of "optimal scope" in
meta-regressions. Corresponding presentation slides, papers, and programming code are given at
http://www.ag.unr.edu/moeltner/MAER2009.htm .
1430-1445
Break with refreshments
1445-1630
Module 4: Modeling Selection Effects in Meta-Analysis
(T.D. Stanley, Hendrix College)
This module identifies several selection effects, in particular publication selection bias, why
selection effects are a problem, and how to detect and correct for selection effects. An empirical
analysis of the recreation valuation literature is presented.
1630-1700
Open Question & Answer Session
1730-2000
Reception (CH2M HILL Alumni Center, Guistina Living Room)
All training materials will be provided at the time of registration and via the workshop webpage.