We use a neoclassical production function to analyze the effects of knowledge spillovers via entrepreneurship on economic performance of 337 German districts. To take the spatial dependence structure of the data into account, we estimate a spatial Durbin model. We highlight the importance of the...

Logit response games with spatial structures are exactly solved. We exactly derive the probability that a player choose a strategy, the correlation function of strategies of distant players, and the expected utility

This paper extends the instrumental variable estimators of Kelejian and Prucha (1998) and Lee (2003) proposed for the cross-sectional spatial autoregressive model to the random effects spatial autoregressive panel data model. It also suggests an extension of the Baltagi (1981) error component...

This note considers a panel data regression model with spatial autoregressive disturbances and random effects where the weight matrix is normalized and has equal elements. This is motivated by Kelejian, et al. (2005) who argue that such a weighting matrix, having blocks of equal elements, might...

Despite its long history, hedonic pricing for housing valuation remains an active research area, and applications of new estimation methods continually push research frontiers. However, housing studies regarding Chinese cities are limited due to the short history of China's free housing market....

Governments often see it as their responsibility to support cultural life and at times spend a significant amount of resources in the pursuit of this goal. The present paper analyses whether and how municipalities influence each other in this decision to spend resources on the arts (using data...

This article presents a new framework for the impact evaluation studies of programs that aim to increase efficiency and productivity of firms. Likelihood ratio statistics support a spatial autoregressive stochastic production model that estimates the technical efficiencies of matched subsamples...

In the last decade there has been an upsurge of studies on international comparisons of Total Factor Productivity (TFP). The empirical evidence suggests that countries and regions differ not only in traditional factor endowments (labour and physical capital) but mainly in productivity and...

This paper studies the performance of panel unit root tests when spatial effects are present that account for cross-section correlation. Monte Carlo simulations show that there can be considerable size distortions in panel unit root tests when the true specification exhibits spatial error...

This paper considers the problem of prediction in a panel data regression model with spatial auto-correlation in the context of a simple demand equation for liquor. This is based on a panel of 43 states over the period 1965-1994. The spatial auto-correlation due to neighboring states and the...