Insegnamento a.a. 2006-2007

8097 - MICROECONOMETRICS


GM-LS - MM-LS - OSI-LS - AFC-LS - CLAPI-LS - CLEFIN-LS - CLELI-LS - CLEACC-LS - DES-LS - CLEMIT-LS - CLG-LS

Department of Economics

Course taught in English

Go to class group/s: 31
GM-LS (6 credits - II sem. - AI) - MM-LS (6 credits - II sem. - AI) - OSI-LS (6 credits - II sem. - AI) - AFC-LS (6 credits - II sem. - AI) - CLAPI-LS (6 credits - II sem. - AI) - CLEFIN-LS (6 credits - II sem. - AI) - CLELI-LS (6 credits - II sem. - AI) - CLEACC-LS (6 credits - II sem. - AI) - DES-LS (6 credits - II sem. - AI) - CLEMIT-LS (6 credits - II sem. - AI) - CLG-LS (6 credits - II sem. - AI)
Course Director:
MICHELE PELLIZZARI

Classes: 31 (II sem.)
Instructors:
Class 31: MICHELE PELLIZZARI


Course Objectives

Microeconometrics is the branch of economics that empirically tests the behavioural implications of microeconomic theory using large individual-level datasets, e.g. labour force surveys, population or firm census. This course aims at introducing the students to these techniques, through a combination of theoretical lectures and applied computer sessions. To deal with the topics covered here it is recommended that students have some knowledge of the contents of basic econometrics and the mathematical and statistical techniques used therein. At the end of the course students are able to identify and use the most suitable techniques and data for the empirical test of microeconomic theories.


Course Content Summary

  • Review of linear estimation techniques: ordinary and generalised least squares.
  • Non linear estimation techniques: maximum likelihood estimation and other optimisation methods.
  • Discrete response models: Probit model, Logit model, binomial and multinomial models, ordered data models, Poisson regressions.
  • Censored and truncated dependent variables: Tobit models.
  • Sample selection: models with linear and non-linear selection rules.
  • Linear models for panel data: fixed- and random-effect regressions.
  • Models for the analysis of duration data.

The theoretical lectures are combined with applied sessions during which students are introduced to the software STATA.


Detailed Description of Assessment Methods

Written Exam.

Textbooks

  • J.M. WOOLDRIDGE,  Econometric Analysis of cross section and panel data, MIT Press, 2002.
  • Additional readings will be provided at the beginning of the course.

For further and continuously updated information consult the  IEP web site or contact  S.I.D. - Servizio Informazioni Didattica - Institute of Economics - via Gobbi, 5 - Room 313.

Exam textbooks & Online Articles (check availability at the Library)
Last change 02/05/2006 00:00