Based on the Ricardian rent theory, this study employs the variable profit function to analyze the determinants of Iowa cropland cash rental rates using county-level panel data from 1987 to 2005. Accounting for spatial and temporal autocorrelations, responses of local cash rental rates to...

Spatial dependence in individual-tree diameter, and growth model residuals was characterised for an even-aged Eucalyptus pilularis (Smith) experiment in New South Wales,. Australia. The magnitude of spatial dependence changed as the dominance of competitive mechanisms and micro-site influences...

In this paper, we analyze the distribution of the brain drain in the LAC region (Latin America and the Caribbean), Asia and Africa. We rely on an original data set on international migration by educational attainment for 1990 and 2000. Our analysis reveals that the brain drain is strong in...

This paper investigates the efficiency of the matching process between job seekers and vacancy posting firms in West-Germany, using variation across labor market regions and across time. The results of a stochastic frontier analysis shed new light on extent and regional differences of search...

This paper develops a hedonic price model explaining standard land values in Berlin. The model assesses the impact of three multifunctional sports arenas situated in Berlin-Prenzlauer Berg which were designed to improve the attractiveness of their formerly deprived neighbourhoods. Empirical...

In this paper, we make multi-step forecasts of the annual growth rates of the real GRP for each of the 31 Chinese provinces simultaneously. Beside the usual panel data models, we use panel models that explicitly account for spatial dependence between the GRP growth rates. In addition, the...

This thesis considers a dynamic panel data model with error components that are correlated both spatially (cross-sectionally) and time-wise. The model extends the literature on dynamic panel data models with cross-sectionally independent error components. The model for spatial dependence is a...

This research presents a methodology to identify regional clusters based on the estimation of location's coefficients and measures of spatial autocorrelation. Local Moran I index is used as a measure of spatial autocorrelation, which allows to obtain a more varied typology of regional clusters....

The main purpose of the article is to consider a important issue of spatial econometrics which is a proper interpretation of structural parameters of econometric models with spatial autoregression. The problem will be considered based on the example of the spatial SAR model. Another purpose of...