3rd Short Course: Panel Data Methods June 22-25, 2015 Thessaloniki, GREECE

COURSE / DESCRIPTION - PANEL DATA ANALYSIS

General overview of the course

This course in panel data econometrics, presented primarily from a microeconometrics perspective, will cover linear panel data models with unobserved heterogeneity, including discussions of the strengths and weakness of the various estimation methods. Basic estimation methods include random effects, fixed effects, and first differencing. Instrumental variables estimation of models without strictly exogenous explanatory variables will also be covered, including those that contain contemporaneously endogenous variables and those that contain lagged dependent variables. Estimation of linear models with heterogeneous trends and heterogeneous slopes will also be covered. Special considerations with unbalanced panels will be discussed, including how to test for sample selection and attrition bias. The statistical package Stata will be used to illustrate the methods during lectures and in obtaining hands-on experience during the lab work.

Programmee

The Course consists of both theoretical sessions (in the form of lectures) and practical sessions. Each practical session takes place in the computer lab. Its aim is to complement the lectures with empirical applications.

The programme is as follows:

Monday 22/06/2015:

  • Morning lecture 1: 09:00-10:45
  • Coffee break: 10:45-11:15
  • Morning lecture 2: 11:15-13:00
  • Afternoon practical session: 14:30-16:30 (computer lab)

Tuesday 23/06/2015:

  • Morning lecture 1: 09:00-10:45
  • Coffee break: 10:45-11:15
  • Morning lecture 2: 11:15-13:00
  • Afternoon practical session: 14:30-16:30 (computer lab)

Wednesday 24/06/2015:

  • Morning lecture 1: 09:00-10:45
  • Coffee break: 10:45-11:15
  • Morning lecture 2: 11:15-13:00
  • Afternoon practical session: 14:30-16:30 (computer lab)

Thursday 25/06/2015:

  • Morning practical session: 10:00-12:00 (computer lab)

Main Textbox

1. Econometric Analysis of Cross Section and Panel Data, second edition Cambridge, MA: MIT Press, 2010.

ECTS credits

Participants who successfully complete the labs can earn 4 ECTS credits (reported in the participation certificate). The grade is based on the evaluation of the lab instructor. Participants should check with their own University whether these ECTS credits are transferable.