Abstract This work belongs to the strand of literature that combines machine learning, optimization, and econometrics. The aim is optimize data collection process in a specific statistical model, commonly used econometrics, employing an optimization criterion inspired by namely, generalization error conditioned on training input data. More specifically, paper focused analysis conditional Fixed ...

This paper investigates the determinants of government size at the provincial level in China. We employ the panel data model as a platform for empirical analysis and control for endogeneity in the study. Our study shows that openness to trade and foreign direct investment (FDI) may curtail government expansion, and that the provincial-level public sector is characterized by economies of scale. ...

In an effort to improve the small sample properties of generalized method of moments (GMM) estimators, a number of alternative estimators have been suggested. These include empirical likelihood (EL), continuous updating, and exponential tilting estimators. We show that these estimators share a common structure, being members of a class of generalized empirical likelihood (GEL) estimators. We us...

In an effort to improve the small sample properties of generalized method of moments (GMM) estimators, a number of alternative estimators have been suggested. These include empirical likelihood (EL), continuous updating, and exponential tilting estimators. We show that these estimators share a common structure, being members of a class of generalized empirical likelihood (GEL) estimators. We us...

The journal Computational Statistics and Data Analysis aims to have regular issues in Computational Econometrics. Of particular interest are papers in important areas of econo-metric applications where both computational techniques and numerical methods have a major impact. The goal is to provide sources of information about the most recent developments in computational econometrics that are cu...

The journal Computational Statistics and Data Analysis aims to have regular issues on computational econometrics. Of particular interest are papers in important areas of econometric applications where both computational techniques and numerical methods have a major impact. The goal is to provide sources of information about the most recent developments in computational econometrics that are cur...

This paper reviews a number of theoretical aspects for implementing an explicit spatial perspective in econometrics for modelling non-continuous data, in general, and count data, in particular. It provides an overview of the several spatial econometric approaches that are available to model data that are collected with reference to location in space, from the classical spatial econometrics appr...

This study applies the panel stationarity test developed by Carrion-i-Silvestre et al 2005. Breaking the panels: An application to GDP per capita. Econometrics Journal 8, 159-175] to examine the stationarity of energy consumption per capita for a panel of 13 Pacific Island countries over the period 1980 to 2005. This test has the advantage that it allows for multiple structural breaks at unknow...