STATISTICAL METHODS FOR ECONOMIC ANALYSIS

STATISTICAL
METHODS FOR ECONOMIC ANALYSIS (I.C.)
Objectives of the part “Measurement of Economic Phenomena”
 Knowledge of major economic phenomena: National
Accounting, SNA IN 2014.
 Knowledge of Measurement methods for analysis of time
and space variation of economic aggregates:
1. Number index: statistical approach
2. PPP index
3. Implicit price index; deflators
 Knowledge of Measurement methods for analysis of income
inequalities and poverty.
 Knowledge of Measurement methods for analysis of the
labor market.
Objectives of the part “Econometric models”
 Knowledge of regression methods in the presence of time
series data associated with economic (macro) phenomena.
 The focus is on the relationships between statistical models
and an econometric models (properties of the conventional
estimators and limitations).
 Estimation methods for the “endogenous regressors” bias
phenomenon are also considered.
 The course gives special emphasis to the analysis of correct
specification of an econometric model.
Final exam
The final exam consists in a written exam which covers both
“Measurement of economic phenomena” and “Econometric
models”. The exam is unique. The student will find four
questions (theory-based questions and excercises, books are
not admitted): two relatively quick questions relative to
“Measurement of economic phenomena” part, and two relatively
quick questions relative to the “Econometric models” part.
The students who attend the class of “Measurement of
economic phenomena” regularly can give a “partial” exam
immediately at the end of the class (i.e. in the break week
between the two Spring sub-cicles), and take the part relative to
“Econometric models” successively (i.e. in June/July). Apart from
that case, however, it is not possible to pass the exam by giving
the two parts separately.
The final grade will be a “non-mechanical” average of the two
parts.
Exam: Written (1 h. 30 min. )
June 5 h 11
June 19 h 11
July 3 h 11
September 11 h 11