Showing 1 - 6 of 6
Abstract This paper proposes a new generalized method of moments (GMM) estimator for spatial panel models with spatial moving average errors combined with a spatially autoregressive dependent variable. Monte Carlo results are given suggesting that the GMM estimator is consistent. The estimator...
Persistent link: https://www.econbiz.de/10005495722
Abstract Kelejian (2008) introduces a J-type test for the situation in which a null linear regression model, Model0, is to be tested against one or more rival non-nested alternatives, Model1, …, Model g , where typically the competing models possess endogenous spatial lags and spatially...
Persistent link: https://www.econbiz.de/10008503049
Abstract This paper investigates the links between face-to-face interaction, the promotion of innovation, and the location behaviour of innovative firms. While face-to-face contact is an essential feature of most innovation behaviour, the importance of the frequency of face-to-face contact for...
Persistent link: https://www.econbiz.de/10005495705
This paper investigates the relationship between market potential and the spatial variation in the number and the average size of firms. We adapt the canonical model of the New Economic Geography to demonstrate this relationship and to derive an empirical specification suitable for estimation...
Persistent link: https://www.econbiz.de/10010952542
Abstract This paper analyses Italian interregional migration flows. The approach taken is to decompose labour mobility flows into short distance and long distance migration and to model the effects of economic variables, social capital and quality of life variables, and amenity variables, on the...
Persistent link: https://www.econbiz.de/10009226605
Abstract In this paper we construct a model to estimate local employment growth in Italian local labour markets for the period 1991–2001. The model is constructed in a similar manner to the original models of Glaeser et al. (1992), Henderson et al. (1995) and Combes (2000). Our objective is to...
Persistent link: https://www.econbiz.de/10009226614