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Spatial Models

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Living Standards Analytics

Part of the book series: Statistics for Social and Behavioral Sciences ((SSBS))

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Abstract

Economists and statisticians are rediscovering geography. Until relatively recently, most economic models essentially ignored spatial variations in data and in relationships; these were not at the heart of the issues that were considered to be interesting.

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References

  • Anselin, Luc. 1992. SpaceStat tutorial. Urbana-Champaign: University of Illinois.

    Google Scholar 

  • Anselin, Luc. 1998. Spatial econometrics: Methods and models. Dordrecht: Kluwer Academic.

    Google Scholar 

  • Anselin, Luc, and R. Florax. 1995. Introduction. In Net directions in spatial econometrics, ed. L. Anselin and R. Florax. Berlin: Springer.

    Chapter  Google Scholar 

  • Aragon, Yves, Dominique Haughton, Jonathan Haughton, Eve Leconte, Eric Malin, Anne Ruiz-Gazen, and Christine Thomas-Agnan. 2003. Explaining the pattern of regional unemployment: The case of the Midi-Pyrénées region. Papers in Regional Science 82: 155–174.

    Article  Google Scholar 

  • Brunsdon, C., A.S. Fotheringham, and M.E. Charlton. 1996. Geographically weighted regression: A method for exploring spatial non-stationarity. Geographical Analysis 28: 281–298.

    Article  Google Scholar 

  • Case, Anne. 1991. Spatial patterns in household demand. Econometrica 59(4): 953–965.

    Article  Google Scholar 

  • Casetti, E. 1972. Generating models by the expansion method: Applications to geographic research. Geographical Analysis 4: 81–91.

    Article  Google Scholar 

  • Daimon, Takeshi. 2001. The spatial dimension of welfare and poverty: Lessons from a regional targeting programme in Indonesia. Asian Economic Journal 15(4): 345–367.

    Article  Google Scholar 

  • Druska, Viliam, and William Horrace. 2004. Generalized moments estimation for spatial panel data: Indonesia rice farming. American Journal of Agricultural Economics 86(1): 185–198.

    Article  Google Scholar 

  • Florax, R., and H. Folmer. 1992. Specification and estimation of spatial linear regression models: Monte Carlo evaluation and pre-test estimators. Regional Science and Urban Economics 22: 405–432.

    Article  Google Scholar 

  • Haughton, D., J. Haughton, and A. Izenman. 1990. Information criteria and harmonic models in time-series analysis. Journal of Statistical Computation and Simulation 35: 187–207.

    Article  MathSciNet  Google Scholar 

  • Haughton, Dominique, and Nguyen, Phong. 2010. Multilevel models and inequality in Vietnam. Journal of Data Science 8: 289–306.

    Google Scholar 

  • INSEE. 1996. FIDEL Base de Données – 1996: Guide de L’Utilisateur. Paris: Institut National de la Statistique et des Études Économiques.

    Google Scholar 

  • Kaimowitz, David, Patricia Mendez, Atie Puntodewo, and Jerry Vanclay. 2002. Spatial regression analysis of deforestation in Santa Cruz, Bolivia. In Land use and deforestation in the Amazon, ed. C.H. Wood and R. Porro. Gainesville: University Press of Florida.

    Google Scholar 

  • LeSage, James. 1998. Spatial econometrics. Toledo: Department of Economics, University of Toledo.

    Google Scholar 

  • Ravallion, Martin, and Quentin Wodon. 1997. Poor areas, or only poor people? Policy Research Working Paper 1798. Washington, DC: World Bank.

    Google Scholar 

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Correspondence to Dominique Haughton .

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Haughton, D., Haughton, J. (2011). Spatial Models. In: Living Standards Analytics. Statistics for Social and Behavioral Sciences. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-0385-2_8

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