transport infrastructure is an important factorforthe spatialdistribution ofgoods, services andinnovationswithinand between regions, and also an important factorin locating andestablishingbusinessesinthe region. this research aims to analyze the effects of transportation infrustructure on industrial concentration in the iranian provinces. for this aim, we have specified econometrics models and ...

Due to criticisms of potential identification issues within spatial panel data models, this study contributes to the literature by comparing forecasts of U.S. state-level carbon dioxide emissions against empirical reality using panel data models with and without spatial effects. From a policy standpoint, understanding how to predict emissions is important for designing climate change mitigation...

Due to criticisms of potential identification issues within spatial panel data models, this study contributes to the literature by comparing forecasts of provincelevel carbon dioxide emissions against empirical reality using dynamic, spatial panel data models with and without fixed effects. From a policy standpoint, understanding how to predict emissions is important for designing climate chang...

We produce methodology for regression analysis when the geographic locations of independent and dependent variables do not coincide, in which case we speak misaligned data. develop investigate two complementary methods with data that circumvent need to estimate or specify covariance errors. carry out a detailed reanalysis Maccini Yang (2009) find economically significant quantitative difference...

This paper examines the little-known connection between econometrics and accounting invoked by Paweł Ciompa, who first introduced term in 1910. Since then, research statistical (econometric) analysis has developed parallel. It is argued that contemporary methodologically closer to than ever before. concentrates on origins of econometric methodologies currently use research, beginning with Ciomp...

Analysis of spatial panel data is of great importance and interest in spatial econometrics. Here we consider cigarette demand in a spatial panel of 46 states of the US over a 30-year period. We construct a demand equation to examine the elasticity of per pack cigarette price and per capita disposable income. The existing spatial panel models account for both spatial autocorrelation and state-wi...

It is now almost impossible to deal with spatial data without considering some explicit specification that captures possible spatial effects. One valuable feature of spatial econometrics models is their decomposition of marginal effects into spatial spillover effect and spatial externalities. Progress in interpreting spatial econometrics models has now been extended to the spatial-panel case. H...