The location of facilities in order to provide service for customers is a well-studied problem in the operations research literature. In this paper, we establish strong connextions between fair cost allocations and linear programming relaxations for several variants of the facility location...

We consider the semiparametric regression X t +(Z) where and (r and function, and where the variables (X, Z) are endogeneous. We propose necessary and sufficient conditions for the identification of the parameters in the presence of instrumental variables. We also focus on the estimation of . An...

We consider the general issue of estimating a nonparametric function x from the inverse problem r = Tx given estimates of the function r and of the linear transform T. Two typical examples include the estimation of a probability density function fromdata contaminated by a noise whose...

In this paper, we study the behavior of second order pseudo-maximum likelihood estimators un- der conditional variance misspecification. We first determine sufficient and essentially necessary conditions for such an estimator to be, regardless of the conditional variance (mis)specification,...

It is now widely believed that Foreign Direct Investment (FDI) affects positively the productivity of individual enterprises in the host economy and this is a main argument in favour of FDI. Although China is the largest recipient of FDI after the USA, there has been little empirical research as...

Using examples drawn from two important papers in the recent literature on weak instruments, we demonstrate how observed experimental outcomes can be pro- foundly inuenced by the dierent conceptual frameworks underlying two exper- imental designs commonly employed when simulating simultaneous...

Poskitt and Skeels (2005) provide a new approximation to the sampling distribution of the IV estimator in a simultaneous equations model, the approximation is appropriate when the concentration parameter associated with the reduced form model is small. We present approximations to the sampling...

focus on the ability of the instrument set to predict a single endogenous regressor, even if there is more than one endogenous regressor in the equation of interest. We propose new measures of instrument relevance in the presence of multiple endogenous regressors, taking both univariate and...

This study examines the link between the health indicators and the environmental variables for a cross-section of countries widely dispersed in the economic development spectrum. While the environment and income are seen to have an inverted U-shaped relationship (Environmental Kuznets Curve...

It is common practice to examine empirical models in which one of the regressors is constructed as the weighted average or sum of a set of series that includes the dependent variable. Examples include models relating money and wealth, consumption and income and regional and national...