Advanced Methods for Applied Economic Research


Coordinator: Dr. S. Dobbelaere

  • Sabien Dobbelaere
    Sabien Dobbelaere
Sabien Dobbelaere


Personal website

Fields: Applied micro, Labor

Sabien Dobbelaere (PhD Ghent University) is associate professor (UHD) at the Department of Economics at Vrije Universiteit Amsterdam and Research Fellow at Tinbergen Institute (TI) and IZA. She received a PhD fellowship from the Research Foundation – Flanders (FWO) in 2000, a postdoctoral fellowship from the FWO in 2004 and a SEEK research grant from the ZEW in 2010. She held visiting research positions at CREST (Centre de Recherche en Economie et Statistique, Paris) and ZEW (Mannheim).

Research interests:

Her main research interests are applied microeconometrics and applied microeconomics, in particular wage and employment determination under imperfect competition, and firm productivity and pricing.

Classes taught:

She has been teaching microeconomics (100-level, 300-level) and labor economics (MSc level).

Personal website

Selected recent publications:

Dobbelaere S, Luttens RI. 2016. Gradual collective wage bargaining. Labour Economics 40: 37-42.

Bartelsman EJ, Dobbelaere S, Peters B. 2015. Allocation of human capital and innovation at the frontier: Firm-level evidence on Germany and the Netherlands. Industrial and Corporate Change 24(5): 875-949.

Dobbelaere S, Kiyota K, Mairesse J. 2015. Product and labor market imperfections and scale economies: Micro-evidence on France, Japan and the Netherlands. Journal of Comparative Economics 43(2): 290-322.

Dobbelaere S, Mairesse J. 2013. Panel data estimates of the production function and product and labor market imperfections. Journal of Applied Econometrics 28(1): 1-46.

Boulhol H, Dobbelaere S, Maioli S. 2011. Imports as product and labour market discipline. British Journal of Industrial Relations 49(2): 331-361.

Lecturers: Dr. S. Dobbelaere, S. Sovago


Course objective

After the course students should be able to critically evaluate the quality of empirical research in economic applications. Furthermore, they should be capable of performing empirical research themselves, for example, for their thesis. The latter implies that they can decide about the appropriate model, are aware of the strength and weaknesses of the model and can estimate its parameters.

Course content

This course aims to make students familiar with various microeconometric methods. These methods are often used in economic research, both to test predictions from economic theory and to assess the effectiveness of economic policy. During the course attention will be devoted both to the theory underlying the different techniques and the practical application. The software package Stata will be used for the empirical applications. An important aspect of the course is that students learn how to interpret estimation results.

Course reading

Stock, J.H. and M.W. Watson, Introduction to Econometrics. Pearson Education Inc., 3rd edition, 2012

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