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Spatial Hedonic Analysis Of Veterinarian Income

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  • Fanning, Jasper
  • Marsh, Thomas L.

Abstract

We investigate a hedonic model for veterinarian income using survey data from the American Veterinarian Medical Association. Diagnostic testing indicates the presence of spatial autoregression in the hedonic income model, which is accounted for by incorporating a spatial component into the regression model. The results provide unique empirical findings about determinants of veterinarian income and spatial patterns, as well as insight useful for governments and academic institutions planning programs and the veterinarian industry.

Suggested Citation

  • Fanning, Jasper & Marsh, Thomas L., 2005. "Spatial Hedonic Analysis Of Veterinarian Income," 2005 Annual meeting, July 24-27, Providence, RI 19168, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea05:19168
    DOI: 10.22004/ag.econ.19168
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    References listed on IDEAS

    as
    1. Kelejian, Harry H & Prucha, Ingmar R, 1999. "A Generalized Moments Estimator for the Autoregressive Parameter in a Spatial Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 40(2), pages 509-533, May.
    2. Ivar Ekeland & James J. Heckman & Lars Nesheim, 2004. "Identification and Estimation of Hedonic Models," Journal of Political Economy, University of Chicago Press, vol. 112(S1), pages 60-109, February.
    3. Dadi Kristofersson & Kyrre Rickertsen, 2004. "Efficient Estimation of Hedonic Inverse Input Demand Systems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(4), pages 1127-1137.
    4. Kelejian, Harry H & Prucha, Ingmar R, 1998. "A Generalized Spatial Two-Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 99-121, July.
    5. Garrett, Thomas A. & Marsh, Thomas L., 2002. "The revenue impacts of cross-border lottery shopping in the presence of spatial autocorrelation," Regional Science and Urban Economics, Elsevier, vol. 32(4), pages 501-519, July.
    6. Charles D. Kolstad & Michelle H. L. Turnovsky, 1998. "Cost Functions And Nonlinear Prices: Estimating A Technology With Quality-Differentiated Inputs," The Review of Economics and Statistics, MIT Press, vol. 80(3), pages 444-453, August.
    7. William M. Bowen & Brian A. Mikelbank & Dean M. Prestegaard, 2001. "Theoretical and Empirical Considerations Regarding Space in Hedonic Housing Price Model Applications," Growth and Change, Wiley Blackwell, vol. 32(4), pages 466-490.
    8. repec:dau:papers:123456789/6486 is not listed on IDEAS
    9. Lung-fei Lee, 2003. "Best Spatial Two-Stage Least Squares Estimators for a Spatial Autoregressive Model with Autoregressive Disturbances," Econometric Reviews, Taylor & Francis Journals, vol. 22(4), pages 307-335.
    10. Lee, Lung-Fei, 2002. "Consistency And Efficiency Of Least Squares Estimation For Mixed Regressive, Spatial Autoregressive Models," Econometric Theory, Cambridge University Press, vol. 18(2), pages 252-277, April.
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