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The econometric estimation and testing of DARP models

Author

Listed:
  • Emilio Casetti

    (Department of Geography, Ohio State University, Columbus, OH 43210, USA)

  • Ayse Can

    (Fannie Mae Foundation, 4000 Wisconsin Avenue NW, Washington, DC 20016-2804, USA (e-mail: aysecan@fanniemaefoundation.org))

Abstract

. DARP, acronym for Drift Analysis of Regression Parameters, originated as a heuristic technique for the investigation of parametric drift in any arbitrary `expansion space', geographic or otherwise. DARP was intended as an exploratory tool useful to aid with the formal specification of parametric drift. In this paper, the DARP technique is reformulated in terms of `DARP models', and the estimation and testing of these models by GLS, FGLS, and ML are discussed. The ML estimation of a spatial DARP model is demonstrated using empirical data.

Suggested Citation

  • Emilio Casetti & Ayse Can, 1999. "The econometric estimation and testing of DARP models," Journal of Geographical Systems, Springer, vol. 1(2), pages 91-106, July.
    • Handle: RePEc:kap:jgeosy:v:1:y:1999:i:2:d:10.1007_s101090050007
    DOI: 10.1007/s101090050007
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    Cited by:

    1. Julie Le Gallo, 2004. "Hétérogénéité spatiale : principes et méthodes," Économie et Prévision, Programme National Persée, vol. 162(1), pages 151-172.
    2. LE GALLO, Julie, 2000. "Econométrie spatiale 2 -Hétérogénéité spatiale," LATEC - Document de travail - Economie (1991-2003) 2001-01, LATEC, Laboratoire d'Analyse et des Techniques EConomiques, CNRS UMR 5118, Université de Bourgogne.
    3. Chasco, Coro & Le Gallo, Julie & López, Fernando A., 2018. "A scan test for spatial groupwise heteroscedasticity in cross-sectional models with an application on houses prices in Madrid," Regional Science and Urban Economics, Elsevier, vol. 68(C), pages 226-238.
    4. Julie Le Gallo, 2000. "Spatial econometrics (2, Spatial heterogeneity) [Econométrie spatiale (2, Hétérogénéité spatiale)]," Working Papers hal-01526969, HAL.

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