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El Paso Housing Sector Econometric Forecast Accuracy

Author

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  • Fullerton, Thomas M., Jr.
  • Kelley, Brian W.

Abstract

There is comparatively little empirical evidence regarding the accuracy of regional housing sector forecasts. Much of the recent analysis conducted for this topic is developed for housing starts and indicates a relatively poor track record. This study examines residential real estate forecasts previously published for El Paso, TX using a structural econometric model. Model coverage is much broader than just starts. Similar to earlier studies, the previously published econometric predictions frequently do not fare very well against the selected random walk benchmarks utilized for the various series under consideration.

Suggested Citation

  • Fullerton, Thomas M., Jr. & Kelley, Brian W., 2008. "El Paso Housing Sector Econometric Forecast Accuracy," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 40(1), pages 1-18, April.
    • Handle: RePEc:ags:joaaec:45534
    DOI: 10.22004/ag.econ.45534
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    File URL: https://ageconsearch.umn.edu/record/45534/files/jaae-40-01-385.pdf
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    References listed on IDEAS

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    1. Kolb, R. A. & Stekler, H. O., 1993. "Are economic forecasts significantly better than naive predictions? An appropriate test," International Journal of Forecasting, Elsevier, vol. 9(1), pages 117-120, April.
    2. Howrey, E Philip & Klein, Lawrence R & McCarthy, Michael D, 1974. "Notes on Testing the Predictive Performance of Econometric Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 15(2), pages 366-383, June.
    3. Christ, Carl F, 1975. "Judging the Performance of Econometric Models of the U.S. Economy," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 16(1), pages 54-74, February.
    4. Atsushi Inoue & Lutz Kilian, 2005. "In-Sample or Out-of-Sample Tests of Predictability: Which One Should We Use?," Econometric Reviews, Taylor & Francis Journals, vol. 23(4), pages 371-402.
    5. Gatzlaff Dean H. & Ling David C., 1994. "Measuring Changes in Local House Prices: An Empirical Investigation of Alternative Methodologies," Journal of Urban Economics, Elsevier, vol. 35(2), pages 221-244, March.
    6. Ashley, R & Granger, C W J & Schmalensee, R, 1980. "Advertising and Aggregate Consumption: An Analysis of Causality," Econometrica, Econometric Society, vol. 48(5), pages 1149-1167, July.
    7. Patric H. Hendershott & John C. Weicher, 2002. "Forecasting Housing Markets: Lessons Learned," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 30(1), pages 1-11.
    8. Ashley, Richard, 1988. "On the relative worth of recent macroeconomic forecasts," International Journal of Forecasting, Elsevier, vol. 4(3), pages 363-376.
    9. Fair, Ray C & Shiller, Robert J, 1990. "Comparing Information in Forecasts from Econometric Models," American Economic Review, American Economic Association, vol. 80(3), pages 375-389, June.
    10. repec:rre:publsh:v:33:y:2003:i:1:p:85-103 is not listed on IDEAS
    11. Victor Zarnowitz, 1967. "An Appraisal of Short-Term Economic Forecasts," NBER Books, National Bureau of Economic Research, Inc, number zarn67-1, June.
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    Cited by:

    1. Arnold Cote, K. Nicole & Smith, Wm. Doyle & Fullerton, Thomas M., Jr., 2010. "Municipal Non-Residential Real Property Valuation Forecast Accuracy," MPRA Paper 32116, University Library of Munich, Germany, revised 11 Feb 2011.

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    More about this item

    Keywords

    Agribusiness; Community/Rural/Urban Development; Political Economy;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

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