Semiparametric inferences for panel data models with fixed effects via nearest neighbor difference transformation
Zongwu Cai and
Econometric Reviews, 2021, vol. 40, issue 10, 919-943
In this paper, we propose a simple method to estimate a partially varying-coefficient panel data model with fixed effects. By taking difference upon the nearest neighbor of the smoothing variables to remove the fixed effects, we employ the profile least squares method and local linear fitting to estimate the parametric and nonparametric parts, respectively. Moreover, a functional form specification test and a nonparametric Hausman type test are constructed and their asymptotic properties are derived. Monte Carlo simulations are conducted to examine the finite sample performance of our estimators and test statistics.
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Persistent link: https://EconPapers.repec.org/RePEc:taf:emetrv:v:40:y:2021:i:10:p:919-943
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