In this paper we explore spatial effects in a hedonic price function framework for a large sample of apartments in Moscow. We find strong evidence of both spatial lag and spatial autocorrelation. Our results are robust across both the spatial model specifications and the choice of the spatial...

Regardless of the reasons leading to its formation, it is widely accepted that geographical concentration of economic activity triggers increases in productivity. However, there are almost no studies that analyze the relationship between geographical concentration and economic growth. Moreover,...

Mississippi constitutes an interesting case study for analyzing the income convergence process because of several characteristics, such as the fairly large number of counties, its relative homogeneous economy and its low percapita income compared with the rest of the U.S. This study analyzes the...

Approximate Maximum Likelihood Estimation (AMLE) is a simple and general method recently proposed for approximating MLEs without evaluating the likelihood function. The only requirement is the ability to simulate the model to be estimated. Thus, the method is quite appealing for spatial models...

We develop a computationally efficient methodology to evaluate optimal management in a spatially and temporally dynamic bioeconomic system. The method involves standard techniques from the macroeconomics literature to calculate approximately optimal linear decision rules. Iterations between the...

This paper challenges the assumption of separable preferences that has been applied throughout the existing empirical research on European Union (EU) legislative politics. Yet our analysis reveals that non-separable preferences are in fact a widespread phenomenon in EU politics. In many cases...

Within the last several years, new data have become available to test the various theoretical models of EU decision-making, and, in doing so, to assess actor influence. This article examines the extent to which the recent DEU and DEUII datasets provide sufficient information to distinguish...

Fuzzy spatial models map a substantial degree of preference indifference. It has been shown that different definitions of covering result in different elements in the uncovered set when preference indifference is present. We consider several of the most frequently used definitions of covering...

Empirical analyses of research and development find strong evidence that these activities tend to cluster geographically. Clusters are thought to emerge from the presence of localized positive externalities. This paper presents a model of this clustering behaviour. We find that phase changes in...

The purpose of this paper is to investigate whether civilian disability pensions have been used as an antipoverty measure in Italy. We applied a classic panel analysis, followed by a two step GMM (Generalized Method of Moments) analysis in which we introduced the spatial variable, to Italian...