Paul Elhorst
University of Groningen
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Tijdschrift voor economische en sociale geografie | 1999
Paul Elhorst; Jan Oosterhaven; Frans Sijtsma
This paper examines whether a deconcentration policy between a core and a peripheral region within a country may increase national welfare. The type of cost and benefits involved and the type of models needed to specify them are first discussed theoretically, and then estimated empirically by means of a comprehensive scenario study for two regions of the Netherlands. The empirical study concludes that a deconcentration scenario might result in net national benefits of several tens of billions of guilders. For this reason a spatial deconcentration policy may well improve the welfare of nations.
Spatial Economic Analysis | 2016
Paul Elhorst; M. Abreu; Pedro S. Amaral; A. Bhattacharjee; L. Corrado; B. Fingleton; Franz Fuerst; Harry Garretsen; D. Igliori; J. Le Gallo; Philip McCann; V. Monastiriotis; Gwilym Pryce; J. Yu
Abstract In this editorial, we summarize and comment on the papers published in issue 11.1 so as to raise the bar in applied spatial economic research and highlight new trends. The first paper employs the J-test to discriminate between two economic-theoretical explanations for the wage curve. The second applies a two-step ML procedure to measure the impact of volatility on economic growth. The third tests for endogeneity in the Spatial lag of X (SLX) model and whether or not the model should be extended to contain a spatial lag. The fourth utilizes the gravity model to test whether or not grids should be merged into larger units of observations. Finally, the last adopts a time-space recursive model to test the ripple effect and (linguistic) border effect hypotheses on housing prices in Belgium.
Spatial Economic Analysis | 2016
Declan Jordan; Paul Elhorst
Abstract This editorial introduces a virtual special issue of Spatial Economic Analysis compiled to mark the keynote lecture at the 46th Annual Conference of the Regional Science Association International—British and Irish Section in Cornwall by Professor Jacques Poot of the National Institute of Demographic and Economic Analysis, University of Waikato. Professor Poots lecture on migration, which is also the theme of this virtual special issue, could not be more topical. Migration is a central issue in public discourse in Europe and the United States, and is setting the agenda for political debate throughout the developed world. The ongoing refugee crisis in Europe, the associated rise in populist, nationalist political movements in Europe and the United States, and the recent vote by the UK to leave the European Union all have migration at their centre.
Spatial Economic Analysis | 2016
Paul Elhorst; M. Abreu; Pedro S. Amaral; A. Bhattacharjee; L. Corrado; B. Fingleton; Franz Fuerst; Harry Garretsen; D. Igliori; J. Le Gallo; Philip McCann; V. Monastiriotis; J. Yu
Abstract This editorial summarizes and comments on the papers published in issue 11(4) so as to raise the bar in applied spatial economic research and highlight new trends. The first paper deals with common factors and spatial dependence in the error term specification of a production function model. The second paper sets forth a New Economic Geography (NEG) model with production activities that vary in their complexity, so as to analyse the impact on specialization patterns across different regions. The third paper measures the efficiency of local public investments using a relatively unknown econometric technique in which the time span over which the variables in the regression equation are measured is increased by one time period every run. The fourth paper adopts a conditional quantile regression approach to determine the impact of people employed in informal jobs on the wage distribution in Colombia and five of its regions. Finally, the last paper proposes and tests two new Bayesian variable selection approaches for spatial econometric models.
Spatial Economic Analysis | 2017
Declan Jordan; Vassilis Monastiriotis; Paul Elhorst
ABSTRACT This virtual special issue of Spatial Economic Analysis marks the keynote lecture at the 47th Annual Conference of the Regional Science Association International – British and Irish Section in Harrogate by Professor Bob Stimson of the University of Queensland, Australia. With over half the world’s population now living in urban areas, which according to the United Nations is expected rise to 66% by 2050, the theme of Professor Stimson’s lecture – urban development – is of critical importance. Cities provide significant opportunities for economic growth and development as long as urban design models are not only effective but also sustainable, inclusive and equitable. This virtual special issue draws together 10 articles from earlier issues of the journal, which inform a successful urban design agenda.
Spatial Economic Analysis | 2016
Paul Elhorst; M. Abreu; Pedro S. Amaral; A. Bhattacharjee; L. Corrado; B. Fingleton; Franz Fuerst; Harry Garretsen; D. Igliori; J. Le Gallo; Philip McCann; V. Monastiriotis; Gwilym Pryce; J. Yu
Abstract This editorial summarizes and comments on the papers published in issue 11(3) so as to raise the bar in applied spatial economic research and highlight new trends. The first paper proposes spatial and a-spatial indicators to describe the networks of airline companies around the world. The second paper sets forth a two-regime gravity-type model with an endogenous threshold parameter to assess the effect of labour market conditions on interregional migration flows. The third paper utilizes micro-data to explain student migration flows to higher education institutions. The fourth paper is among the first to make use of simulation-based location quotients in a multiregional input–output model. Finally, the last paper provides a purely economic–theoretical model on cooperative limit pricing in the context of spatial competition.
Spatial Economic Analysis | 2018
Paul Elhorst; M. Abreu; Pedro S. Amaral; A. Bhattacharjee; L. Corrado; Justin Doran; B. Fingleton; Franz Fuerst; Harry Garretsen; D. Igliori; Julie Le Gallo; Philip McCann; V. Monastiriotis; Francesco Quatraro; J. Yu
ABSTRACT This editorial summarizes the papers published in issue 13(3) so as to raise the bar in applied spatial economic research and highlight new trends. The first paper challenges the home market hypothesis that large countries host more firms relative to their size than small countries by considering the lobbying activities of multinational firms. The second paper analyzes the implications of a spatial weight matrix used to estimate a spatial econometric model that depends on an endogenous economic variable. By adding a spatial context, the third paper provides a novel contribution to the literature on international norms in de facto measures of human rights performance. The fourth paper examines the determinants of accepting informal work in Poland. The fifth paper deals with non-stationarity and cointegration in a dynamic spatial econometric panel data model when the number of observations in the time – rather than in the cross-sectional– domain tends to infinity.
Spatial Economic Analysis | 2018
Paul Elhorst; M. Abreu; Pedro S. Amaral; A. Bhattacharjee; L. Corrado; Justin Doran; B. Fingleton; Franz Fuerst; Harry Garretsen; D. Igliori; Julie Le Gallo; Philip McCann; V. Monastiriotis; Francesco Quatraro; J. Yu
ABSTRACT This editorial summarises the papers published in issue 13.1 so as to raise the bar in applied spatial economic research and highlight new trends. The first paper adopts a scale neutral approach to investigate the spatial mechanisms that cause regional innovation and growth. The second paper claims that population-weighting when calculating indices of regional inequality might lead to inconsistent outcomes. The third paper estimates the effect of distance between family residence and higher education institution on a students academic performance, thereby accounting for endogenous regressors. The fourth paper shows an inverted U-shaped relationship between economic development at region of origin and the propensity to migrate using a multilevel approach. The fifth paper provides spatial econometric evidence of price competition between sellers of used books on Amazon.com. The last paper estimates a hedonic housing price equation and parameterizes the spatial weight matrix to determine how far back in time buyers, sellers and realtors are looking at the housing market.
Spatial Economic Analysis | 2017
Paul Elhorst; M. Abreu; Pedro S. Amaral; A. Bhattacharjee; L. Corrado; Justin Doran; B. Fingleton; Franz Fuerst; Harry Garretsen; D. Igliori; Julie Le Gallo; Philip McCann; V. Monastiriotis; Francesco Quatraro; J. Yu
ABSTRACT Raising the bar (6). Spatial Economic Analysis. This editorial summarizes and comments on the papers published in issue 12(4) so as to raise the bar in applied spatial economic research and highlight new trends. The first paper addresses the question of whether ‘jobs follow people’ or ‘people follow jobs’. The second paper develops a new methodology to determine functional regions. The third paper is a major contribution to the growing literature on new modelling approaches and applications of disaster impact models. The fourth paper focuses on the costs and benefits of higher education. The fifth paper develops a two-step procedure to identify endogenously spatial regimes in the first step using geographically weighted regression, and to account for spatial dependence in the second step. Finally, the sixth paper estimates a dynamic spatial panel data model to explain house prices and to show that restricted housing supply in the city of Cambridge, UK, has some undesirable labour market effects.
Spatial Economic Analysis | 2017
Paul Elhorst; M. Abreu; Pedro S. Amaral; A. Bhattacharjee; L. Corrado; B. Fingleton; Franz Fuerst; Harry Garretsen; D. Igliori; J. Le Gallo; Philip McCann; V. Monastiriotis; J. Yu
ABSTRACT Raising the bar (5). Spatial Economic Analysis. This editorial summarizes and comments on the papers published in this issue 12(1) so as to raise the bar in applied spatial economic research and highlight new trends. The first paper examines the impact of the level of education on the decision to migrate and finds that it is approximately twice as large if both variables are modelled simultaneously. The second paper is one of the first papers to introduce a spatial component to models of international environmental agreements and to develop an exciting overlap with New Economic Geography. The third paper provides a tool, applied to Beijing, with which urban economic planners can investigate the role of variation and selection mechanisms in cluster development and identify possible paths of growth. The fourth paper contributes to the existing literature on retail geography by examining the role of consumption possibilities as an urban amenity. The fifth paper develops a Bayesian estimator of a linear regression model with spatial lags among the dependent variable, the explanatory variables and the disturbances. Finally, the sixth paper develops a semi-parametric generalized method of moments (GMM) estimator for a spatial autoregressive model with space-varying coefficients of the explanatory variables and a spatial autoregressive coefficient common to all units.