Spatial Economic Analysis 

About: Spatial Economic Analysis is an academic journal published by Routledge. The journal publishes majorly in the area(s): Spatial econometrics & Autoregressive model. It has an ISSN identifier of 1742-1772. Over the lifetime, 414 publications have been published receiving 10602 citations. The journal is also known as: SEA.

Applied Spatial Econometrics: Raising the Bar

Abstract: This paper places the key issues and implications of the new ‘introductory’ book on spatial econometrics by James LeSage & Kelley Pace (2009) in a broader perspective: the argument in favour of the spatial Durbin model, the use of indirect effects as a more valid basis for testing whether spatial spillovers are significant, the use of Bayesian posterior model probabilities to determine which spatial weights matrix best describes the data, and the book's contribution to the literature on spatio-temporal models. The main conclusion is that the state of the art of applied spatial econometrics has taken a step change with the publication of this book. Relever le niveau de l'econometrie spatial appliquee RESUME La presente communication place les principales questions et implications du nouvel ouvrage d'introduction sur l'econometries spatiale de James LeSage & Kelley Pace (2009) dans un contexte plus general: l'argument favorisant le modele spatial de Durbin, l'emploi d'effets indirects comme base pl...

On the Specification of the Gravity Model of Trade: Zeros, Excess Zeros and Zero-inflated Estimation

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.

Spatial Growth Regressions: Model Specification, Estimation and Interpretation

Abstract: We attempt to clarify a number of points regarding use of spatial regression models for regional growth analysis. We show that as in the case of non-spatial growth regressions, the effect of initial regional income levels wears off over time. Unlike the non-spatial case, long-run regional income levels depend on: own region as well as neighbouring region characteristics, the spatial connectivity structure of the regions, and the strength of spatial dependence. Given this, the search for regional characteristics that exert important influences on income levels or growth rates should take place using spatial econometric methods that account for spatial dependence as well as own and neighbouring region characteristics, the type of spatial regression model specification, and weight matrix. The framework adopted here illustrates a unified approach for dealing with these issues.

Interpolation of Air Quality Measures in Hedonic House Price Models: Spatial Aspects

Abstract: This paper investigates the sensitivity of hedonic models of house prices to the spatial interpolation of measures of air quality. We consider three aspects of this question: the interpolation technique used, the inclusion of air quality as a continuous vs discrete variable in the model, and the estimation method. Using a sample of 115,732 individual house sales for 1999 in the South Coast Air Quality Management District of Southern California, we compare Thiessen polygons, inverse distance weighting, Kriging and splines to carry out spatial interpolation of point measures of ozone obtained at 27 air quality monitoring stations to the locations of the houses. We take a spatial econometric perspective and employ both maximum-likelihood and general method of moments techniques in the estimation of the hedonic. A high degree of residual spatial autocorrelation warrants the inclusion of a spatially lagged dependent variable in the regression model. We find significant differences across interpolators...

The Producer Service Sector in Italy: Long-term Growth and its Local Determinants

Abstract: This paper analyses the local determinants of producer service growth in Italy, focusing on agglomeration economies. From a methodological viewpoint, we address the critique on the Glaeser et al. (1992)-type employment growth regressions by deriving a reduced-form equation that incorporates variables affecting both local labour supply and local demand for the industry's output. At the same time, by implementing an error-correction approach, we improve on previous dynamic specifications that do not allow for short-term fluctuations along the steady-state growth path. It turns out that long-run employment growth is positively influenced by specialization, with a smaller role played by urbanization externalities. These results are in line with the empirical findings of recent analysis based on firm-level TFP (total factor productivity) estimates, thus providing them with a valuable cross-validation, considering that TFP measurement is far from being undisputed, especially in the service sector. Le s...