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Linear Models with Spatially Distributed Data

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  • Patrick Doreian

    (University of Pittsburgh)

Abstract

This article deals with linear models for which data have been aggregated over well-defined geographic areas. Such data may be generated by spatial processes, and these may be represented in the form of spatial autocorrelation in the disturbance term or directly in the form of a spatial effect. This article details the derivation of Ord's (1975) MLEprocedurefor the spatial disturbances model and contrasts it with this MLE procedure for the spatial effects model. These alternative model specifications and estimation procedures are then illustrated by a variety of examples. These MLEprocedures for the spatial models are also contrasted with conventional regression procedures (which ignored geographical space). If there is spatial autocorrelation present, an MLE procedure is preferable.

Suggested Citation

  • Patrick Doreian, 1980. "Linear Models with Spatially Distributed Data," Sociological Methods & Research, , vol. 9(1), pages 29-60, August.
    • Handle: RePEc:sae:somere:v:9:y:1980:i:1:p:29-60
    DOI: 10.1177/004912418000900102
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    References listed on IDEAS

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    1. Matthews, Donald R. & Prothro, James W., 1963. "Social and Economic Factors and Negro Voter Registration in the South," American Political Science Review, Cambridge University Press, vol. 57(1), pages 24-44, March.
    2. Mitchell, Edward J., 1969. "Some Econometrics of the Huk Rebellion," American Political Science Review, Cambridge University Press, vol. 63(4), pages 1159-1171, December.
    3. Salamon, Lester M. & Van Evera, Stephen, 1973. "Fear, Apathy, and Discrimination: A Test of Three Explanations of Political Participation," American Political Science Review, Cambridge University Press, vol. 67(4), pages 1288-1306, December.
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    Cited by:

    1. Nan Yang & Jill J. McCluskey & Michael P. Brady, 2012. "The Value of Good Neighbors: A Spatial Analysis of the California and Washington State Wine Industries," Land Economics, University of Wisconsin Press, vol. 88(4), pages 674-684.

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