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Regular version of the site
Bachelor 2024/2025

Panel Data

Area of studies: Economics
When: 3 year, 4 module
Mode of studies: offline
Open to: students of one campus
Language: English
ECTS credits: 3

Course Syllabus

Abstract

The course is designed for third-year undergraduate students in Economics. The course is of applied nature: The material is presented, whenever possible, in a non-technical way, with examples of empirical studies published in leading international economics and finance journals discussed in class. Lectures are supplemented by computer labs, which ensures that the students get hands-on experience of analyzing real world panel data using Stata 14/15. The topics covered include: pooled OLS model, fixed- and random-effects models, dealing with unbalanced panels, measurement error in panel data, endogenous explanatory variables, the Hausman-Taylor model, and an overview of dynamic panel data models (the Nickel bias, Anderson-Hsiao estimator and Arellano-Bond estimator).