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A Spatial Hedonic Model with Time-Varying Parameters: A New Method Using Flexible Least Squares

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Author Info

  • Kuethe, Todd H.
  • Foster, Kenneth A.
  • Florax, Raymond J.G.M.

Abstract

The following paper outlines a new econometric model designed to capture both the temporal and spatial dynamics of housing prices. The paper combines existing spatial econometric techniques with a model that allows parameters to evolve over time. In addition, we provide an empirical application to the price effects of confined animal feeding operations to a data set of residential real estate in Tippecanoe County, Indiana from 1993 through 2006.

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File URL: http://purl.umn.edu/6306
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Bibliographic Info

Paper provided by American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association) in its series 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida with number 6306.

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Date of creation: 2008
Date of revision:
Handle: RePEc:ags:aaea08:6306

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Related research

Keywords: Demand and Price Analysis; Land Economics/Use; Livestock Production/Industries; Research Methods/ Statistical Methods;

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References

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  6. Poray, Michael C. & Foster, Kenneth A. & Dorfman, Jeffrey H., 2000. "Measuring An Almost Ideal Demand System With Generalized Flexible Least Squares," 2000 Annual meeting, July 30-August 2, Tampa, FL 21796, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
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Cited by:
  1. Hubbs, Todd & Kuethe, Todd H. & Baker, Timothy G., 2009. "Evaluating the Dynamic Nature of Market Risk," 2009 Conference, April 20-21, 2009, St. Louis, Missouri 53037, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.

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