Strategy Research and Panel Data: Evidence and Implications

A number of studies in strategic management rely on panel (longitudinal) data to test theory. The advantages of panel data notwithstanding, such data introduce analytic problems (e.g., autocorrelation, heteroskedasticity, contemporaneous correlation) that make traditional estimators (e.g., ordinary...

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Veröffentlicht in:Journal of management Jg. 32; H. 3; S. 449 - 471
Hauptverfasser: Certo, S. Trevis, Semadeni, Matthew
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Thousand Oaks, CA Sage Publications 01.06.2006
Sage Publications Ltd
Schlagworte:
Correlation analysis
Data analysis
Inappropriateness
Monte Carlo simulation
Panel data
Research methodology
Strategic management
Studies
heteroskedasticity
contemporaneous correlation
panel data
research methodology
autocorrelation
longitudinal data
ISSN:0149-2063, 1557-1211
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Zusammenfassung:A number of studies in strategic management rely on panel (longitudinal) data to test theory. The advantages of panel data notwithstanding, such data introduce analytic problems (e.g., autocorrelation, heteroskedasticity, contemporaneous correlation) that make traditional estimators (e.g., ordinary least squares) inappropriate. This study highlights the influence of contemporaneous correlation, a statistical problem that affects the analysis of panel data. Using Monte Carlo simulations, the authors find that contemporaneous correlation is particularly problematic when analyzing data sets typically used in strategic management research. They suggest straightforward techniques to mitigate the harmful effects of contemporaneous correlation.
Bibliographie:SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ISSN:0149-2063
1557-1211
DOI:10.1177/0149206305283320