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Raising the bar (4)

Elhorst, P., Abreu, M., Amaral, P., Bhattacharjee, A., Corrado, L., Fingleton, B., Fuerst, F., Garretsen, H., Igliori, D., Le Gallo, J., McCann, P., Monastiriotis, V. & Yu, J., Dec-2016, In : Spatial Economic Analysis. 11, 4, p. 355-360 6 p.

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  • Raising the bar 4

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DOI

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.

Original languageEnglish
Pages (from-to)355-360
Number of pages6
JournalSpatial Economic Analysis
Volume11
Issue number4
Publication statusPublished - Dec-2016

    Keywords

  • Common factors, spatial dependence, New Economic Geography (NEG), decomposition, variable selection, BAYESIAN-APPROACH, MODEL, DEPENDENCE, WEAK

ID: 37676164