Background The globalization and expansion of financial markets and the current economic
crisis are changing the rules. Innovation has ceased to be part of the business strategy in …

The majority of empirical research in economics ignores the potential benefits of
nonparametric methods, while the majority of advances in nonparametric theory ignores the …

The Oxford Handbook of Panel Data examines new developments in the theory and
applications of panel data. It includes basic topics like non-stationary panels, co-integration …

Spatial regression deals with the specification, estimation, and diagnostic checking of
regression models that incorporate spatial effects. Two broad classes of spatial effects may …

In this paper we consider the problem of estimating nonparametric panel data models with
fixed effects. We introduce an iterative nonparametric kernel estimator. We also extend the …

We consider the problem of estimating a varying coefficient panel data model with fixed-
effects (FE) using a local linear regression approach. Unlike first-differenced estimator, our …

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 estimation of nonlinear panel data models with common and individual specific
parameters. Fixed effects estimators are known to suffer from the incidental parameters …

Hausman (1978) represented a tectonic shift in inference related to the specification of
econometric models. The seminal insight that one could compare two models which were …

We consider the effect on performance of very large controlling shareholders, who are
mostly organized in voting blocks and business groups, in a sample of Belgian listed firms …