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Growth and Convergence in Income Per Capita and Income Inequality in the Regions of the EU

Tselios, Vassilis - In: Spatial Economic Analysis 4 (2009) 3, pp. 343-370

over time and long-term convergence in income inequality levels. This paper examines whether this holds true for the EU … conditional convergence in income per capita after controlling for educational attainment, unemployment, sectoral composition …, spatially lagged growth of income per capita, and regional fixed effects, and that of an unconditional convergence in income …

Persistent link: https://www.econbiz.de/10008464461

Interpolation of Air Quality Measures in Hedonic House Price Models: Spatial Aspects This paper is part of a joint research effort with James Murdoch (University of Texas, Dallas) and Mark Thayer (San Diego State University). Earlier versions were presented at the 51st North American Meeting of the Regional Science Association International, Seattle, WA, November 2004, the Spatial Econometrics ...

Anselin, Luc; Gallo, Julie Le - In: Spatial Economic Analysis 1 (2006) 1, pp. 31-52

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...

Persistent link: https://www.econbiz.de/10005495693

Dynamic Spatial Discrete Choice Using One-step GMM: An Application to Mine Operating Decisions

Pinkse, Joris; Slade, Margaret; Shen, Lihong - In: Spatial Economic Analysis 1 (2006) 1, pp. 53-99

Abstract In many spatial applications, agents make discrete choices (e.g. operating or product-line decisions), and applied researchers need econometric techniques that enable them to model such situations. Unfortunately, however, most discrete-choice estimators are invalid when variables and/or...

Persistent link: https://www.econbiz.de/10005495697

Regional Convergence in Germany: a Geographically Weighted Regression Approach

Eckey, Hans-Friedrich; Kosfeld, Reinhold; Türck, Matthias - In: Spatial Economic Analysis 2 (2007) 1, pp. 45-64

Abstract Regional convergence of German labour markets represents a politically important question. Different studies … have examined convergence processes in Germany. We derive equations to estimate the speed of convergence on the basis of an … extended Solow model. The technique of geographically weighted regression permits a detailed analysis of convergence processes …

Persistent link: https://www.econbiz.de/10005495707

Innovation and Co-location

Das, Satyasiba; Finne, Håkon - In: Spatial Economic Analysis 3 (2008) 2, pp. 159-194

Abstract Here we attempt to advance the understanding of the impact of co-locative factors on regional innovation performance. The objectives are to answer what role co-location plays in explaining differences in regional innovation performance and what methodological improvements can compensate...

Persistent link: https://www.econbiz.de/10005495708

Growth, Agglomeration and Convergence: a Space-time Analysis for European Regions

Bosker, Maarten - In: Spatial Economic Analysis 2 (2007) 1, pp. 91-100

on the convergence hypothesis. Using a sample of 208 European regions over 25 years, ‘standard’ growth regressions are … growth in one's own region. The implied convergence rate is also affected when the inter- and intraregional aspects of … agglomeration are taken into account, where the former (latter) results in lower (slightly higher) convergence estimates. …

Persistent link: https://www.econbiz.de/10005495713

Spatial Vector Autoregressions

Beenstock, Michael; Felsenstein, Daniel - In: Spatial Economic Analysis 2 (2007) 2, pp. 167-196

Abstract A spatial vector autoregressive model (SpVAR) is defined as a VAR which includes spatial as well as temporal lags among a vector of stationary state variables. SpVARs may contain disturbances that are spatially as well as temporally correlated. Although the structural parameters are not...

Persistent link: https://www.econbiz.de/10005495714

A Generalized Method of Moments Estimator for a Spatial Panel Model with an Endogenous Spatial Lag and Spatial Moving Average Errors

Fingleton, Bernard - In: Spatial Economic Analysis 3 (2008) 1, pp. 27-44

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

Increasing Returns and the Growth of Industries in the EU Regions: Paradoxes and Conundrums

Angeriz, Alvaro; McCombie, John; Roberts, Mark - In: Spatial Economic Analysis 4 (2009) 2, pp. 127-148

Abstract Verdoorn's law is estimated in a spatial econometric framework for individual manufacturing industries using EU regional data. Estimates of encompassing returns to scale are large, but other explanatory variables, including measures of industrial specialization and diversity, tend to be...

Persistent link: https://www.econbiz.de/10004966855

A Spatial Model of the Impact of Bankruptcy Law on Entrepreneurship

Mathur, Aparna - In: Spatial Economic Analysis 4 (2009) 1, pp. 25-51

Abstract This paper employs spatial econometrics techniques to estimate the impact of bankruptcy regulation on small firm formation. The estimation of the model is computationally challenging due to the joint appearance of a lagged endogenous variable and the unobserved heterogeneity which...

Persistent link: https://www.econbiz.de/10004966857