Arbeitspapier

Robust estimation of linear fixed effects panel data models with an application to the exporter productivity premium

In empirical studies it often happens that some variables for some units are far away from the other observations in the sample. These extreme observations, or outliers, often have a large impact on the results of statistical analyses - conclusions based on a sample with and without these units may differ drastically. While applied researchers tend to be aware of this, the detection of outliers and their appropriate treatment is often dealt with in a rather sloppy manner. One reason for this habit seems to be the lack of availability of appropriate canned programs for robust methods that can be used in the presence of outliers. Our paper intents to improve on this situation by presenting a highly robust method for estimation of the popular linear fixed effects panel data model, and to supply Stata code for it. In an application from the field of the micro-econometrics of international firm activities we demonstrate that outliers can indeed drive results.

Sprache
Englisch

Erschienen in
Series: IZA Discussion Papers ; No. 4928

Klassifikation
Wirtschaft
Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal Models
Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
Econometric Software
Empirical Studies of Trade
Thema
Robust estimation
panel data
outliers
Stata
exporter productivity premium
Robustes Verfahren
Panel
Statistische Methode
Theorie
Mikroökonometrie
Exportindustrie
Produktivität
Schätzung
Deutschland

Ereignis
Geistige Schöpfung
(wer)
Verardi, Vincenzo
Wagner, Joachim
Ereignis
Veröffentlichung
(wer)
Institute for the Study of Labor (IZA)
(wo)
Bonn
(wann)
2010

Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Verardi, Vincenzo
  • Wagner, Joachim
  • Institute for the Study of Labor (IZA)

Entstanden

  • 2010

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