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A Metropolitan Transaction-Based Commercial Price Index: A Time-Varying Parameter Approach


  • Henry J. Munneke
  • Barrett A. Slade


This study examines the usefulness of time-varying parameter techniques for constructing reliable transaction-based commercial price indices for metropolitan areas. Time-varying parameter techniques allow the implicit prices of differing quality characteristics to vary intertemporally, overcoming the potential bias imposed by holding implicit prices fixed and simply interpreting time dummy variables as in a conventional hedonic approach. This paper empirically investigates three time-varying parameter methods (Chained, Laspeyres, and Paasche) and considers the potential for sample selection bias. Precision measures are constructed to examine the reliability of the respective indices. Copyright Blackwell Publishers Ltd 2001.

Suggested Citation

  • Henry J. Munneke & Barrett A. Slade, 2001. "A Metropolitan Transaction-Based Commercial Price Index: A Time-Varying Parameter Approach," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 29(1), pages 55-84.
  • Handle: RePEc:bla:reesec:v:29:y:2001:i:1:p:55-84

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    3. Clark, David & Pennington-Cross, Anthony, 2016. "Determinants of industrial property rents in the Chicago metropolitan area," Regional Science and Urban Economics, Elsevier, vol. 56(C), pages 34-45.
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    7. David Albouy & Gabriel Ehrlich, 2012. "Housing Productivity and the Social Cost of Land-Use Restrictions," NBER Working Papers 18110, National Bureau of Economic Research, Inc.
    8. Nichols, Joseph B. & Oliner, Stephen D. & Mulhall, Michael R., 2013. "Swings in commercial and residential land prices in the United States," Journal of Urban Economics, Elsevier, vol. 73(1), pages 57-76.
    9. Xiaolong Liu, 2013. "Spatial and Temporal Dependence in House Price Prediction," The Journal of Real Estate Finance and Economics, Springer, vol. 47(2), pages 341-369, August.
    10. C. Sirmans & Barrett Slade, 2012. "National Transaction-based Land Price Indices," The Journal of Real Estate Finance and Economics, Springer, vol. 45(4), pages 829-845, November.
    11. Arthur Korteweg & Morten Sorensen, 2012. "Estimating Loan-to-Value and Foreclosure Behavior," NBER Working Papers 17882, National Bureau of Economic Research, Inc.
    12. Gabriel Ahlfeldt, 2007. "If Alonso Was Right: Accessibility as Determinant for Attractiveness of Urban Location," Working Papers 012, Chair for Economic Policy, University of Hamburg.
    13. Füss, Roland & Koller, Jan A., 2016. "The role of spatial and temporal structure for residential rent predictions," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1352-1368.
    14. Patrick Wilson & Michael White & Neil Dunse & Chee Cheong & Ralf Zurbruegg, 2011. "Modelling Price Movements in Housing Micro Markets," Urban Studies, Urban Studies Journal Limited, vol. 48(9), pages 1853-1874, July.
    15. Joseph B. Nichols & Stephen D. Oliner & Michael R. Mulhall, 2010. "Commercial and residential land prices across the United States," Finance and Economics Discussion Series 2010-16, Board of Governors of the Federal Reserve System (U.S.).
    16. Charles C. Tu, 2005. "How Does a New Sports Stadium Affect Housing Values? The Case of FedEx Field," Land Economics, University of Wisconsin Press, vol. 81(3).
    17. Franco, Sofia & Cutter, Bowman & DeWoody, Autumn, 2010. "Do Parking Requirements Significantly Increase The Area Dedicated To Parking? A Test Of The Effect Of Parking Requirements Values In Los Angeles County," MPRA Paper 20403, University Library of Munich, Germany.
    18. Deng, Yongheng & McMillen, Daniel P. & Sing, Tien Foo, 2014. "Matching indices for thinly-traded commercial real estate in Singapore," Regional Science and Urban Economics, Elsevier, vol. 47(C), pages 86-98.

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