We investigate the role of national institutions on subnational African development in a novel framework that accounts both for local geography and cultural-genetic traits. We exploit the fact that the political boundaries in the eve of African independence partitioned more than two hundred...

This paper estimates the effects of transport (road and rail) & energy and ICT infrastructure (telephone, mobile, and broadband) on GDP growths in neighboring countries as well as own countries. We confirm positive direct contributions of infrastructure, access to Internet, and human capital on...

This paper investigates spatial dynamic panel data models with high order time-varying endogenous weights matrices. We consider the panel data when $n$ is large, and $T$ can be large, but small relative to $n$. In this case, the maximum likelihood estimation (ML) approach would be either...

Accounting studies often examine whether the relation between X and Y varies with a moderating variable, M, by including an interactive term, X×M, in a regression. We provide plain-English guidance on why, how, and when to use control variables (Z) in interaction tests. Simple descriptions and...

Energy is the basis for development of material civilization. Since fossil energy can cause environmental problems, clean energy has become the trend of energy development. Solar energy is a kind of resource-rich and clean energy. Therefore, it exists great prospects of development. In addition,...

The conventional model of immigrant earnings does not account for the correlation of outcomes across immigrant ethnic networks. We apply a spatial autoregressive network approach to account for the spill-over effects of migrant ethnic group economic resources and labour market outcomes. We...

Due to the continuous growth of China's electricity demand, the efficiency of electricity consumption has drawn great attention. Based on 31 provincial panel data in China from 2004 to 2018, this study uses the spatial autocorrelation test and spatial econometric methods to quantitatively...

We propose a new unified approach to identifying and estimating spatio-temporal dependence structures in large panels. The model accommodates global crosssectional dependence due to global dynamic factors as well as local cross-sectional dependence, which may arise from local network structures....

This article presents a spatio-temporal panel vector-autoregressive approach (SptpVAR) as an extended spatial econometric method for analysing spillover effects of regional economic change in time and space. The approach aims to extend the spatial dimension of SpVAR models by capturing the...