Random Coefficient Models for Time-Series—Cross-Section Data: Monte Carlo Experiments

Nathaniel L. Beck · Jonathan N. Katz

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Spatial and Panel Data Analysis Statistical Methods and Bayesian Inference Advanced Statistical Methods and Models

Abstract

This article considers random coefficient models (RCMs) for time-series—cross-section data. These models allow for unit to unit variation in the model parameters. The heart of the article compares the finite sample properties of the fully pooled estimator, the unit by unit (unpooled) estimator, and the (maximum likelihood) RCM estimator. The maximum likelihood estimator RCM performs well, even where the data were generated so that the RCM would be problematic. In an appendix, we show that the most common feasible generalized least squares estimator of the RCM models is always inferior to the maximum likelihood estimator, and in smaller samples dramatically so.

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References

2003Analysis of Panel Data 1998Partisan Politics in the Global Economy 2001T IME -S ERIES –C ROSS -S ECTION D ATA : What Have We Learned in the Past Few Years?1971Statistical Inference in Random Coefficient Regression Models 1997Between Class and Market 2000Unions in Decline? What Has Changed and Why

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