In this paper, we provide an intensive review of the recent developments for semiparametric
and fully nonparametric panel data models that are linearly separable in the innovation and …

We consider consistent estimation of partially linear panel data models with fixed effects. We
propose profile-likelihood-based estimators for both the parametric and nonparametric …

This chapter surveys nonparametric methods for estimation and inference in a panel data
setting. Methods surveyed include profile likelihood, kernel smoothers, as well as series and …

There exists enormous literature on the development of panel data models in the last five
decades or so. The readers are referred to Arellano (2003), Hsiao (2003), and Baltagi …

In this paper, we consider the nonparametric estimation of a varying coefficient fixed effect
panel data model. The estimator is based in a within (un-smoothed) transformation of the …

Multidimensional panel datasets are routinely employed to identify marginal effects in
empirical research. Fixed effects estimators are typically used to deal with potential …

In this paper, we consider the problem of estimating a nonparametric panel data models with
fixed effects. We propose using the profile least-squares method to concentrate out the fixed …

The ongoing restructuring of the Italian labor market has been leading to a decrease of the
national unemployment rate albeit a severe polarization of regional unemployment has …

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!月 经济学!季刊" &’()*+,-)-.(,/0*123145 6-47!#8-7" 9045##$$% 非参数估计方法在长江和珠江 …

Does interregional migration equilibrate regional labour market performances? We answer
this question focusing on regional unemployment dynamics in Italy over the 1995-2007 …