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Private Real Estate Investment

Author

Listed:
  • Brown, Roger J.

    (Director of Research at the Real Estate and Land Use Institute, San Diego State University; President of IMOJIM Investments)

Abstract

Fiduciary responsibilities and related court-imposed liabilities have forced investors to assess market conditions beyond gut level, resulting in the development of sophisticated decision-making tools. Roger Brown's use of historical real estate data enables him to develop tools for gauging the impact of circumstances on relative risk. His application of higher level statistical modeling to various aspects of real estate makes this book an essential partner in real estate research. Offering tools to enhance decision-making for consumers and researchers in market economies of any country interested in land use and real estate investment, his book will improve real estate market efficiency. With property the world's biggest asset class, timely data on housing prices just got easier to find and use. Excellent mixture of theory and application Data and database analysis techniques are the first of their kind

Suggested Citation

  • Brown, Roger J., 2005. "Private Real Estate Investment," Elsevier Monographs, Elsevier, edition 1, number 9780121377519.
  • Handle: RePEc:eee:monogr:9780121377519
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    Citations

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    Cited by:

    1. Manyu Moravenov, 2015. "Financial Evaluation Of Property Development Projects. Cash Flow Method," Economy & Business Journal, International Scientific Publications, Bulgaria, vol. 9(1), pages 672-680.
    2. Smolyak S.A., 2016. "A Modified Model to Estimate Building Rental Multipiers Accounting for Advalorem Operating Expenses," Real Estate Management and Valuation, Sciendo, vol. 24(3), pages 16-26, September.
    3. Manyu Moravenov, 2015. "Financial Evaluation Of Property Development Projects. Residual Value Method," Economy & Business Journal, International Scientific Publications, Bulgaria, vol. 9(1), pages 681-689.
    4. John Zacharias, 2011. "The Dynamics of People Movement Systems in Central Areas," Challenges, MDPI, vol. 2(4), pages 1-15, November.

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