A Monte Carlo Study for Swamy’s Estimate of Random Coefficient Panel Data Model
Ahmed H. Youssef and
Mohamed Abonazel ()
MPRA Paper from University Library of Munich, Germany
A particularly useful approach for analyzing pooled cross sectional and time series data is Swamy's random coefficient panel data (RCPD) model. This paper examines the performance of Swamy's estimators and tests associated with this model by using Monte Carlo simulation. The Monte Carlo study shed some light into how well the Swamy's estimate perform in small, medium, and large samples, in cases when the regression coefficients are fixed, random, and mixed. The Monte Carlo simulation results suggest that the Swamy's estimate perform well in small samples if the coefficients are random and but it does not when regression coefficients are fixed or mixed. But if the samples sizes are medium or large, the Swamy's estimate performs well when the regression coefficients are fixed, random, or mixed.
Keywords: Random Coefficient Panel Data Model; Mixed RCPD Model; Panel Data; Monte Carlo Simulation; Pooling Cross Section and Time Series Data (search for similar items in EconPapers)
JEL-codes: C1 C13 C15 C3 C32 C33 C4 (search for similar items in EconPapers)
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