This paper by Eugenio Gaiotti is a refutation paper: it tests and rejects the idea popularized by Borio and Filardo (2007) that globalization explains the flattening of the Phillips curve. While several papers have already been devoted to assessing the Borio and Filardo theory, the distinctive feature of the present article is that it uses microeconomic data. Microeconomic data can be helpful i...

Spatial econometrics has been an ongoing research …eld. Recently, it has been extended to the panel data settings. The spatial panel data can allow cross sectional dependence as well as state dependence, and it can also enable researchers to control for unknown heteorgeneity. This paper reports some recent developments in the econometric speci…cation and estimation on spatial panel data models....

This paper analyses the differential impact of human capital, in terms of different levels of schooling, on regional productivity and convergence. The potential existence of geographical spillovers of human capital is also considered by applying spatial panel data techniques. The empirical analysis of Spanish provinces between 1980 and 2007 confirms the positive impact of human capital on regio...

Relying on a Constant Relative Risk Aversion utility function, we use panel data for Argentina to compute risk-adjusted income and poverty measures and to analyze their determinants. Taking risk into account increases poverty. The regression analysis suggests that many household characteristics are correlated not only with the average income of the household over time, but also with income vari...

Energy is one of the most important inputs in production. Energy usage and energy diffusion of fossil fuels in process of production cause greenhouse gases (CO2) emission and destruction of environment. According to the importance of issues like energy usage and economic growth, this paper, concerning the effects of proximity, evaluates the effects of energy usage and economic growth on emissio...

The spatial panel data model is a standard tool for analyzing data with both spatial correlation and dynamic dependences among economic units. Conventional estimation methods rely on the key assumption that the spatial weight matrix is strictly exogenous, which would likely be violated in some empirical applications where spatial weights are determined by economic factors. This paper studies th...