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Historic Buildings and Rehabilitation Expenditures: A Panel Data Approach

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  • Philippe Cyrenne

    (Department of Economics, The University of Winnipeg, 515 Portage Avenue, Winnipeg, Manitoba, Canada R3B 2E9)

  • Robert Fenton

    (Department of Economics, The University of Winnipeg, 515 Portage Avenue, Winnipeg, Manitoba, Canada R3B 2E9)

  • Joseph Warbanski

    (Joseph Warbanski Consultants, 678 Sherburn St., Winnipeg, Manitoba, Canada R3G 2L2)

Abstract

This paper examines the relationship between the characteristics of buildings and their assessed value in a historic area in Winnipeg, Manitoba Canada. Using a unique panel data set, we use a hedonic model to examine the factors that have affected the market value assessments of a set of historic and non-historically designated buildings. Using a number of estimators, we find that controlling for a number of key characteristics of buildings, that the assessed value of a building is higher for some classes of historic buildings. In addition, we estimate a two stage Heckman sample selection model, to determine the factors that influence the rehabilitation decision, and the effect of those expenditures and other building characteristics on the change in assessed values of buildings. We find that the expenditures on renovations contribute significantly to the change in assessed values of buildings, although less than might be expected. We provide a rationale for this result and also discuss the factors that influence the probability of renovation of a building as well as the change in their assessed values. Apart from the above, a number of interesting empirical results are also reported which may be used as input into the design of cost effective rehabilitation strategies for historic preservation.

Suggested Citation

  • Philippe Cyrenne & Robert Fenton & Joseph Warbanski, 2006. "Historic Buildings and Rehabilitation Expenditures: A Panel Data Approach," Journal of Real Estate Research, American Real Estate Society, vol. 28(4), pages 349-380.
    • Handle: RePEc:jre:issued:v:28:n:4:2006:p:349-380
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    Cited by:

    1. Rui Han & Shiqi Yang, 2023. "A Study on Industrial Heritage Renewal Strategy Based on Hybrid Bayesian Network," Sustainability, MDPI, vol. 15(13), pages 1-32, July.
    2. Paolo Rosato & Anna Alberini & Valentina Zanatta & Margaretha Breil, 2009. "Redeveloping Derelict and Underused Historical City Areas: Evidence from a Survey�of�Real�Estate�Developers," Working Papers 2009_02, Department of Economics, University of Venice "Ca' Foscari".
    3. Douglas S. Noonan, 2013. "Market effects of historic preservation," Chapters, in: Ilde Rizzo & Anna Mignosa (ed.), Handbook on the Economics of Cultural Heritage, chapter 17, pages i-i, Edward Elgar Publishing.
    4. Rickman, Dan S., 2009. "Neighborhood Historic Preservation Status and Housing Values in Oklahoma County, Oklahoma," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 39(2), pages 1-10.
    5. Douglas Noonan & Douglas Krupka, 2010. "Determinants of historic and cultural landmark designation: why we preserve what we preserve," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 34(1), pages 1-26, February.
    6. Paolo Rosato & Anna Alberini & Valentina Zanatta & Margaretha Breil, 2010. "Redeveloping derelict and underused historic city areas: evidence from a survey of real estate developers," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 53(2), pages 257-281.
    7. Çağlayan Ebru & Arikan Eban, 2011. "Determinants of house prices in Istanbul: a quantile regression approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(2), pages 305-317, February.

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    JEL classification:

    • L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services

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