Fitting and interpreting correlated random-coefficient models using Stata
Abstract. In this article, we introduce the community-contributed command
randcoef, which fits the correlated random-effects and correlated
random-coefficient models discussed in Suri (2011, Econometrica 79:
159–209). While this approach has been around for a decade, its use has
been limited by the computationally intensive nature of the estimation
procedure that relies on the optimal minimum distance estimator.
randcoef can accommodate up to five rounds of panel data and offers
several options, including alternative weight matrices for estimation and
inclusion of additional endogenous regressors. We also present postestimation
analysis using sample data to facilitate understanding and interpretation of
results.
View all articles by these authors:
Oscar Barriga Cabanillas, Jeffrey D. Michler, Aleksandr Michuda, Emilia Tjernström
View all articles with these keywords:
randcoef, correlated random effects, correlated random coefficients, technology adoption, heterogeneity
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