Forecasting with Spatial Panel Data This paper compares various forecasts using panel data with spatial error correlation. The true data generating process is assumed to be a simple error component regression model with spatial remainder disturbances of the autoregressive or moving average type. The best linear unbiased predictor is compared with other forecasts ignoring spatial correlation, or...

This paper empirically investigated the spatiotemporal variations, influencing factors and future emission trends of China's CO2 emissions based on a provincial panel data set. A series of panel econometric models were used taking the period 1995-2011 into consideration. The results indicated that CO2 emissions in China increased over time, and were characterized by noticeable regional discrepa...

Purpose This paper investigates the impact of governance on economic growth, considering spatial dependence between countries. Design/methodology/approach The study employs regression models to estimate growth in a sample 116 countries worldwide 2017. Findings findings imply that influence is statistically significant. Moreover, if all other control variables are constant, 1% increase raises av...

Driven by innovation, the implementation of a strategy for developing quality workforce is key to promoting high-quality development China’s economy. Based on panel data 31 provinces Chinese mainland from 2013 2020, spatial econometric model used explore impact regional environment, heterogeneity and its effect gathering technological talent. The results show that: (1) improvement innovation en...

Employing a recently developed panel econometric technique, first, we show that accounting for spatial dependence and heterogeneity yields more accurate risk factor coefficients abnormal housing returns. Rather than systematic risks, idiosyncratic risks explain the variations in residential excess After controlling asset-specific factors, positive significant impact of unobservable common facto...

One can have an impact on a field in a variety of ways such as papers published in prestigious journals, through service to associations, and through students. Certainly, James LeSage has published extensively in a variety of fields including economics and econometrics, regional science, spatial econometrics and statistics. He has helped organize sessions and performed other conference-related ...