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Finite sample performance of specification tests for correlated random effects quantile panel regressions
Authors:Samiul Haque  Michael S. Delgado
Affiliation:1. Department of Economics, Macalester College, Saint Paul, MN, USA;2. Department of Agricultural Economics, Purdue University, West Lafayette, IN, USA
Abstract:We investigate the finite sample performance of the Abrevaya and Dahl (2008) test for coefficient heterogeneity for a correlated random effects ‘mean’ (CREM) panel quantile regression estimator. We assess size and power of the test over a range of sample sizes and panel dimensions. The test is undersized for small-to-moderate sample sizes and displays low power even with a high degree of heteroscedasticity. Size and power improve substantially in larger samples. Our results provide insight for applied researchers.
Keywords:Correlated random effects  hypothesis testing  Monte Carlo  panel  quantile
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