Raising the bar (1)

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.

[1]  Roel Helgers,et al.  Spatial and Temporal Diffusion of Housing Prices in the Presence of a Linguistic Border: Evidence from Belgium , 2016 .

[2]  Gianfranco Piras,et al.  An extension of Kelejian's J-test for non-nested spatial models , 2011 .

[3]  Yiqun Chen,et al.  A Free, Open-Source Tool for Identifying Urban Agglomerations using Point Data , 2016 .

[4]  A. Oswald,et al.  The Wage Curve , 1989 .

[5]  Y. Zenou,et al.  Endogenous peer effects: local aggregate or local average? , 2014 .

[6]  R. Perman,et al.  Commuting effects in Okun's Law among British areas : evidence from spatial panel econometrics , 2017 .

[7]  Gianfranco Piras,et al.  Estimation of spatial models with endogenous weighting matrices, and an application to a demand model for cigarettes , 2014 .

[8]  James P. LeSage,et al.  Software for Bayesian cross section and panel spatial model comparison , 2015, Journal of Geographical Systems.

[9]  Paul Elhorst,et al.  The Impact of Interaction Effects among Neighbouring Countries on Financial Liberalization and Reform: A Dynamic Spatial Panel Data Approach , 2013 .

[10]  J. Elhorst,et al.  The Slx Model , 2015 .

[11]  B. Fingleton,et al.  Where is the Economics in Spatial Econometrics? , 2012 .

[12]  Lung-fei Lee,et al.  Model selection using J-test for the spatial autoregressive model vs. the matrix exponential spatial model ☆ , 2013 .

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[14]  H. Kelejian,et al.  A J test for dynamic panel model with fixed effects, and nonparametric spatial and time dependence , 2016 .

[15]  A. Haynie,et al.  SPATIAL COMPETITION WITH CHANGING MARKET INSTITUTIONS , 2013 .

[16]  Arnab Bhattacharjee,et al.  Endogenous Spatial Regression and Delineation of Submarkets: A New Framework with Application to Housing Markets , 2016 .

[17]  G. Abate On the Link between Volatility and Growth: A Spatial Econometrics Approach , 2016 .

[18]  James P. LeSage Spatial Econometric Panel Data Model Specification: A Bayesian Approach , 2014 .

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[20]  F. Dominguez,et al.  The Impact of Climate Change on Agriculture in the Southwestern United States: The Ricardian Approach Revisited , 2016 .

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[23]  B. Fingleton,et al.  Bootstrap Inference in Spatial Econometrics: the J-test , 2010 .

[24]  Gianfranco Piras,et al.  AN EXTENSION OF THE J-TEST TO A SPATIAL PANEL DATA FRAMEWORK , 2016 .

[25]  P. Burridge Improving the J Test in the SARAR Model by Likelihood-based Estimation , 2012 .

[26]  Bootstrap J-Test for Panel Data Models with Spatially Dependent Error Components, a Spatial Lag and Additional Endogenous Variables , 2016 .

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