Explaining Fixed Effects: Random Effects Modeling of Time-Series Cross-Sectional and Panel Data
نویسندگان
چکیده
منابع مشابه
Explaining Fixed Effects: Random Effects Modeling of Time-Series Cross-Sectional and Panel Data*
T his article challenges Fixed Effects (FE) modeling as the ‘default’ for time-series-crosssectional and panel data. Understanding different within and between effects is crucial when choosing modeling strategies. The downside of Random Effects (RE) modeling— correlated lower-level covariates and higher-level residuals—is omitted-variable bias, solvable with Mundlak’s (1978a) formulation. Conse...
متن کاملExplaining Fixed Effects: Random Effects modelling of Time-Series Cross-Sectional and Panel Data
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Panel Data: Fixed and Random Effects
In panel data, individuals (persons, firms, cities, ... ) are observed at several points in time (days, years, before and after treatment, ...). This handout focuses on panels with relatively few time periods (small T ) and many individuals (large N). This handout introduces the two basic models for the analysis of panel data, the fixed effects model and the random effects model, and presents c...
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ژورنال
عنوان ژورنال: Political Science Research and Methods
سال: 2014
ISSN: 2049-8470,2049-8489
DOI: 10.1017/psrm.2014.7