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Showing papers by "Martijn Burger published in 2009"


Journal ArticleDOI
TL;DR: In this article, modified Poisson fixed-effects estimations (negative binomial, zero-inflated) are proposed to overcome the bias created by the logarithmic transformation, the failure of the homoscedasticity assumption, and the way zero values are treated.
Abstract: Conventional studies of bilateral trade patterns specify a log-normal gravity equation for empirical estimation. However, the log-normal gravity equation suffers from three problems: the bias created by the logarithmic transformation, the failure of the homoscedasticity assumption, and the way zero values are treated. These problems normally result in biased and inefficient estimates. Recently, the Poisson specification of the trade gravity model has received attention as an alternative to the log-normality assumption (Santos Silva and Tenreyro, 2006). However, the standard Poisson model is vulnerable for problems of overdispersion and excess zero flows. To overcome these problems, this paper considers modified Poisson fixed-effects estimations (negative binomial, zero-inflated). Extending the empirical model put forward by Santos Silva and Tenreyro (2006), we show how these techniques may provide viable alternatives to both the log-normal and standard Poisson specification of the gravity model of trade.

530 citations


Journal ArticleDOI
TL;DR: It is found that emerging networks correspond to a large extent with the predicted networks and are contingent on the incentives present in various social contexts, and subjects tend to form specific stable networks with a higher probability than predicted.

110 citations



Posted Content
TL;DR: In this paper, the authors analyzed how different spatial structures, in particular the monocentricity and polycentricity dimension, affect the economic performance of U.S. metropolitan areas.
Abstract: textRecent concepts as megaregions and polycentric urban regions emphasize that external economies are not confined to a single urban core, but shared among a collection of close-by and linked cities. However, empirical analyses of agglomeration and agglomeration externalities so-far neglects the multicentric spatial organization of agglomeration and the possibility of ‘sharing’ or ‘borrowing’ of size between cities. This paper takes up this empirical challenge by analyzing how different spatial structures, in particular the monocentricity – polycentricity dimension, affect the economic performance of U.S. metropolitan areas. OLS and 2SLS models explaining labor productivity show that spatial structure matters. Polycentricity is associated with higher labor productivity. This appears to justify suggestions that, compared to relatively monocentric metropolitan areas, agglomeration diseconomies remain relatively limited in the more polycentric metropolitan areas, while agglomeration externalities are indeed to some extent shared among the cities in such an area. However, it was also found that a network of geographically proximate smaller cities cannot provide a substitute for the urbanization externalities of a single large city.

14 citations


Posted Content
TL;DR: In this paper, modified Poisson fixed-effects estimations (negative binomial, zero-inflated) are proposed to overcome the bias created by the logarithmic transformation, the failure of the homoscedasticity assumption, and the way zero values are treated.
Abstract: Conventional studies of bilateral trade patterns specify a log-normal gravity equation for empirical estimation. However, the log-normal gravity equation suffers from three problems: the bias created by the logarithmic transformation, the failure of the homoscedasticity assumption, and the way zero values are treated. These problems normally result in biased and inefficient estimates. Recently, the Poisson specification of the trade gravity model has received attention as an alternative to the log-normality assumption (Santos Silva and Tenreyro, 2006). However, the standard Poisson model is vulnerable for problems of overdispersion and excess zero flows. To overcome these problems, this paper considers modified Poisson fixed-effects estimations (negative binomial, zero-inflated). Extending the empirical model put forward by Santos Silva and Tenreyro (2006), we show how these techniques may provide viable alternatives to both the log-normal and standard Poisson specification of the gravity model of trade.

14 citations


Posted Content
TL;DR: In this article, the authors test for urban network development by looking at commuting patterns in the Greater South East UK, based on census commuting interaction data for three points in time during the past three decades (1981, 1991 and 2001).
Abstract: In contemporary literature on changing urban systems, it is often argued that the traditional central place conceptualisation is outdated and should be replaced by a network view that emphasises the increasing criss-crossing pattern of interdependencies between spatial units. This paper tests for urban network development by looking at commuting patterns in the Greater South East UK. The analysis is based on census commuting interaction data for three points in time during the past three decades (1981, 1991, and 2001). Although the empirical results indicate that the Greater South East UK can still not be characterized as a polycentric urban region or integrated urban network, there is some evidence for urban network development at the local, intra-urban, level as well as a decentralization of the system at the regional, inter-urban, level.

2 citations


Posted Content
TL;DR: The authors analyzed how different spatial structures, in particular the monocentricity and polycentricity dimension, affect the economic performance of U.S. metropolitan areas and found that polycentricities are associated with higher labor productivity.
Abstract: Recent concepts as megaregions and polycentric urban regions emphasize that external economies are not confined to a single urban core, but shared among a collection of close-by and linked cities. However, empirical analyses of agglomeration and agglomeration externalities so-far neglects the multicentric spatial organization of agglomeration and the possibility of ‘sharing’ or ‘borrowing’ of size between cities. This paper takes up this empirical challenge by analyzing how different spatial structures, in particular the monocentricity – polycentricity dimension, affect the economic performance of U.S. metropolitan areas. OLS and 2SLS models explaining labor productivity show that spatial structure matters. Polycentricity is associated with higher labor productivity. This appears to justify suggestions that, compared to relatively monocentric metropolitan areas, agglomeration diseconomies remain relatively limited in the more polycentric metropolitan areas, while agglomeration externalities are indeed to some extent shared among the cities in such an area. However, it was also found that a network of geographically proximate smaller cities cannot provide a substitute for the urbanization externalities of a single large city.

1 citations