designs (RDD), which may increase precision of treatment effect estimation. It is shown that conditioning on covariates … illustrate the estimation approach and its properties, we provide a simulation study and an empirical application to an Austrian …

In this paper, we consider a class of time-varying panel data models with individual-specific regression coefficients …

This paper develops an innovative way of estimating a functional-coefficient spatial autoregressive panel data model … effects from the model by transforming the latter into a semiparametric additive model, the estimation of which however does …

In this paper, we propose a single-index panel data model with unobserved multiple interactive fixed effects. This …

This paper proposes a robust method for semiparametric identification and estimation in panel multinomial choice models … obtain identifying restrictions. We provide a consistent estimation procedure, and demonstrate the practical advantages of …

This paper develops a consistent series-based specification test for semiparametric panel data models with fixed … quadratic form in the restricted model residuals. The use of series methods facilitates both estimation of the null model and … correction. This correction makes it possible to account for the estimation variance and obtain refined asymptotic results. It …

coefficients. Two classes of estimation procedures are proposed, one based on station averaged data the other on the full panel … communally by all individuals in the sample. To capture such behavioral features, we employ a functional coefficient panel model … in which certain communal covariates may jointly influence panel interactions by means of their impact on the model …