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Spatial Econometrics

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Abstract

Spatial econometrics is concerned with modelling dependent observations indexed by points in a space. Complicated patterns of interdependence can be parsimoniously described in terms of these points’ locations. Covariances between observations, for example, can be modelled as functions of their distances. Index spaces are not limited to the physical space or times inhabited by economic agents and can be as abstract as required by the economics of the application. This entry discusses the use of generalized method of moments and other common estimators with spatial data, as well as simultaneous equation methods specialized to certain types of spatial data.

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Bibliography

  • Andrews, D. 2005. Cross-section regression with common shocks. Econometrica 73: 1551–1585.

    Article  Google Scholar 

  • Anselin, L. 1988. Spatial econometrics: Methods and models. Boston: Kluwer Academic Publishers.

    Book  Google Scholar 

  • Anselin, L. 1995. Local indicators of spatial association. Geographical Analysis 27: 93–115.

    Article  Google Scholar 

  • Barry, R., and R. Pace. 1999. A Monte Carlo estimator of the log determinant of large sparse matrices. Linear Algebra and its Applications 289: 41–54.

    Article  Google Scholar 

  • Bartlett, M. 1955. An introduction to stochastic processes. Cambridge: Cambridge University Press.

    Google Scholar 

  • Bester, C. 2005a. Random field and affine models for interest rates: An empirical comparison. Working paper. University of Chicago.

    Google Scholar 

  • Bester, C. 2005b. Bond and option pricing in random field models. Working paper. University of Chicago.

    Google Scholar 

  • Bolthausen, E. 1982. On the central limit theorem for stationary mixing random fields. Annals of Probability 10: 1047–1050.

    Article  Google Scholar 

  • Brock, W., and S. Durlauf. 2001. Interactions-based models. In Handbook of econometrics, 5th edn., ed. J. Heckman and E. Leamer. Amsterdam: North-Holland.

    Google Scholar 

  • Case, A., J. Hines, and H. Rosen. 1993. Budget spillovers and fiscal policy interdependence: Evidence from the states. Journal of Public Economics 52: 285–307.

    Article  Google Scholar 

  • Chen, X., and T. Conley. 2001. A new semiparametric spatial model for panel time series. Journal of Econometrics 105: 59–83.

    Article  Google Scholar 

  • Cliff, A., and J. Ord. 1981. Spatial processes. London: Pion Limited.

    Google Scholar 

  • Conley, T. 1996. Econometric modeling of cross-sectional dependence. Ph.D. thesis. University of Chicago.

    Google Scholar 

  • Conley, T. 1999. GMM estimation with cross sectional dependence. Journal of Econometrics 92: 1–45.

    Article  Google Scholar 

  • Conley, T., and E. Ligon. 2002. Economic distance, spillovers, and cross country comparisons. Journal of Economic Growth 7: 157–187.

    Article  Google Scholar 

  • Conley, T., and F. Molinari. 2007. Spatial correlation robust inference with errors in location or distance. Journal of Econometrics 140(1): 76–96.

    Article  Google Scholar 

  • Conley, T., and G. Topa. 2002. Socio-economic distance and spatial patterns in unemployment. Journal of Applied Econometrics 17: 303–327.

    Article  Google Scholar 

  • Geary, R. 1954. The contiguity ratio and statistical mapping. Incorporated Statistician 5: 115–145.

    Article  Google Scholar 

  • Giacomini, F., and C. Granger. 2004. Aggregation of space–time processes. Journal of Econometrics 118: 7–26.

    Article  Google Scholar 

  • Grenander, U. and M. Rosenblatt. 1957. Some problems in estimating the spectrum of a time series. In: Proceedings of the third berkeley symposium on mathematical statistics and probability, vol. 7. p. 77–93.

    Google Scholar 

  • Hansen, L. 1982. Large sample properties of generalized method of moments estimators. Econometrica 50: 1029–1054.

    Article  Google Scholar 

  • Kelejian, H., and I. Prucha. 1999. A Generalized moments estimator for the autoregressive parameter in a spatial model. International Economic Review 40: 509–533.

    Article  Google Scholar 

  • Kelejian, H., and I. Prucha. 2001. On the asymptotic distribution of the Moran I test statistic with applications. Journal of Econometrics 104: 219–257.

    Article  Google Scholar 

  • Kelejian, H., and I. Prucha. 2007. HAC estimation in a spatial framework. Journal of Econometrics 140(1): 131–154.

    Article  Google Scholar 

  • Lee, L. 2004a. Asymptotic distributions of quasi-maximum likelihood estimators for spatial autoregressive models. Econometrica 72: 1899–1925.

    Article  Google Scholar 

  • Lee, L. 2004b. Identification and estimation of spatial econometric models with group interactions, contextual factors and fixed effects. Working paper. Ohio State University.

    Google Scholar 

  • Lee, L. 2007. GMM and 2SLS estimation of mixed regressive, spatial autoregressive models. Journal of Econometrics 140(1): 155–189.

    Article  Google Scholar 

  • LeSage, J., and R. Pace. 2007. A matrix exponential spatial specification. Journal of Econometrics 140(1): 190–214.

    Article  Google Scholar 

  • Mardia, K., and R. Marshall. 1984. Maximum likelihood estimation of models for residual covariance in spatial regression. Biometrika 71: 135–146.

    Article  Google Scholar 

  • Martellosio, F. 2004. The correlation structure of spatial autoregressions. Working paper. University of Southampton.

    Google Scholar 

  • Moran, P. 1950. Notes on continuous stochastic phenomena. Biometrika 37: 17–23.

    Article  Google Scholar 

  • Pace, R., and R. Barry. 1997. Quick computation of regressions with a spatially autoregressive dependent variable. Geographical Analysis 29: 232–247.

    Article  Google Scholar 

  • Pinkse, J., M. Slade, and C. Brett. 2002. Spatial price competition: A semiparametric approach. Econometrica 70: 1111–1153.

    Article  Google Scholar 

  • Priestley, M. 1964. Analysis of two-dimensional processes with discontinous spectra. Biometrika 51: 195–217.

    Google Scholar 

  • Priestley, M. 1981. Spectral analysis and time series, vol. 2, New York: Academic Press.

    Google Scholar 

  • Takahata, H. 1983. On the rates in the central limit theorem for weakly dependent random fields. Zeitschrift fur Wahrscheinlichkeitstheorie und verwandte Gebiete 64: 445–456.

    Article  Google Scholar 

  • Wall, M. 2004. A close look at the spatial structure implied by the CAR and SAR models. Journal of Statistical Planning and Inference 121: 311–324.

    Article  Google Scholar 

  • Whittle, P. 1954. On stationary processes on the plane. Biometrika 2: 434–449.

    Article  Google Scholar 

  • Wooldridge, J. 2003. Cluster-sample methods in applied econometrics. American Economic Review 93: 133–138.

    Article  Google Scholar 

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  1. http://link.springer.com/referencework/10.1057/978-1-349-95121-5

    Timothy G. Conley

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  1. Timothy G. Conley
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Conley, T.G. (2018). Spatial Econometrics. In: The New Palgrave Dictionary of Economics. Palgrave Macmillan, London. https://doi.org/10.1057/978-1-349-95189-5_2023

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