This paper considers the problem of estimating a partially linear semiparametric fixed effects panel data model with possible endogeneity. Using the series method, we establish the root N normality result for the estimator of the parametric component, and we show that the unknown function can be consistently estimated at the standard nonparametric rate.

This paper studies the impact of municipal non-residential property taxation on firms’ performance using a panel data of italian manufacturing firms in 2001-2010. In the spirit of Duranton et al. (2011), we use a pairwise spatial difference instrumental variable estimator which allows to tackle the endogeneity of local taxation. As well as providing robust inference to arbitrary cross-sectional...

This paper presents some two-step estimators for a wide range of parametric panel data models with censored endogenous variables and sample selection bias. Our approach is to derive estimates of the unobserved heterogeneity responsible for the endogeneity/selection bias to include as additional explanatory variables in the primary equation. These are obtained through a decomposition of the redu...

In this paper we estimate a model of the determinants of economic and social development that takes seriously three of the criticisms of panel data models in the existing growth literature: that long run coefficients are biased because the lagged dependent variable is not strictly exogenous; that they are biased because of slope coefficient heterogeneity; and that they are biased because of exp...

This paper considers the problem of estimating a partially linear semipara-metric fixed effects panel data model with possible endogeneity. Using the series method, we establish the root N normality result for the estimator of the parametric component, and we show that the unknown function can be consistently estimated at the standard nonparametric rate. c 2002 Peking University Press

In this paper a new method to estimate the equivalence scale elasticity using individual panel data on income satisfaction will be developed. In contrast to other subjective approaches, the present one benefits from the fact that no direct cardinal individual welfare function has to be specified. In addition, panel data enables different scale use by the respondents to be controlled. The approa...

This paper studies estimation of multiplicative, unobserved components panel data models without imposing the strict exogeneity assumption on the explanatory variables. The method of moments estimators proposed have significant robustness properties; they require only a conditional mean assumption, and apply to models with lagged dependent variables, finite distributed lag models that allow arb...

Although initially originated as a totally empirical relationship to explain the volume of trade between two partners, gravity equation has been the focus of several theoretic models that try to explain it. Specialization models are of great importance in providing a solid theoretic ground for gravity equation in bilateral trade. Some research papers try to improve specialization models by addi...

We address the problem of prediction in the classical spatial autoregressive LAG model for areal data. In contrast with the spatial econometrics literature, the geostatistical literature has devoted much attention to prediction using the Best Linear Unbiased Prediction approach. From the methodological point of view, we explore the limits of the extension of BLUP formulas in the context of the ...

Subsidies and Exports in Germany: First Evidence from Enterprise Panel Data We use newly available representative panel data for manufacturing enterprises in West and East Germany to investigate the link between production-related subsidies and exports. We document that only a small fraction of enterprises is subsidized, and that exports and subsidies are positively related. Using a matching ap...