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Raising the bar (1)

Author

Listed:
  • P. Elhorst
  • M. Abreu
  • P. Amaral
  • A. Bhattacharjee
  • L. Corrado
  • B. Fingleton
  • F. Fuerst
  • H. Garretsen
  • D. Igliori
  • J. Le Gallo
  • P. McCann
  • V. Monastiriotis
  • G. 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.

Suggested Citation

  • P. Elhorst & M. Abreu & P. Amaral & A. Bhattacharjee & L. Corrado & B. Fingleton & F. Fuerst & H. Garretsen & D. Igliori & J. Le Gallo & P. McCann & V. Monastiriotis & G. Pryce & J. Yu, 2016. "Raising the bar (1)," Spatial Economic Analysis, Taylor & Francis Journals, vol. 11(1), pages 1-6, March.
    • Handle: RePEc:taf:specan:v:11:y:2016:i:1:p:1-6
    DOI: 10.1080/17421772.2015.1126966
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    Cited by:

    1. Bhat, Chandra R. & Pinjari, Abdul R. & Dubey, Subodh K. & Hamdi, Amin S., 2016. "On accommodating spatial interactions in a Generalized Heterogeneous Data Model (GHDM) of mixed types of dependent variables," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 240-263.

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