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Structural Analysis of U.S. Appraiser Income

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Abstract

This study represents the first investigation of appraiser income at the national level. It is especially timely because it addresses the value of Appraisal Institute designations in a post-FIRREA world, in addition to investigating the impact of gender on appraiser income. The study employs a worker-productivity, human-capital model and finds that appraiser income is positively and significantly impacted by the amount of work effort expended, the level of appraisal experience, and the formal education and professional training attained by an appraiser. Appraisal Institute designations are found to have a significant and positive impact on income, even in a post-FIRREA world of required appraiser licensing and certification. Gender does not appear to impact appraiser income. However, questions do arise regarding the status of female (and minority) appraisers.

Suggested Citation

  • Marvin L. Wolverton & Donald Epley, 1999. "Structural Analysis of U.S. Appraiser Income," Journal of Real Estate Research, American Real Estate Society, vol. 18(2), pages 377-393.
  • Handle: RePEc:jre:issued:v:18:n:1:1999:p:377-393
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    1. Willis, Robert J & Rosen, Sherwin, 1979. "Education and Self-Selection," Journal of Political Economy, University of Chicago Press, vol. 87(5), pages 7-36, October.
    2. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1.
    3. Jacques Gordon & Paige MosbaughTodd Canter & Todd Canter, 1996. "Integrating Regional Economic Indicators with the Real Estate Cycle," Journal of Real Estate Research, American Real Estate Society, vol. 12(3), pages 469-501.
    4. Barry A. Diskin & Dean H. Gatzlaff, 1994. "An Examination of the Earnings of Real Estate Appraisers," Journal of Real Estate Research, American Real Estate Society, vol. 9(4), pages 507-524.
    5. Michael Glower & Patric H. Hendershott, 1988. "The Determinants of REALTOR Income," Journal of Real Estate Research, American Real Estate Society, vol. 3(2), pages 53-68.
    6. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    7. Halvorsen, Robert & Palmquist, Raymond, 1980. "The Interpretation of Dummy Variables in Semilogarithmic Equations," American Economic Review, American Economic Association, vol. 70(3), pages 474-475, June.
    8. Glenn E. Crellin & James R. Frew & G. Donald Jud, 1988. "The Earnings of REALTORS: Some Empirical Evidence," Journal of Real Estate Research, American Real Estate Society, vol. 3(2), pages 69-78.
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    Cited by:

    1. G. Martin Izzo & Barry E. Langford, 2008. "Data analysis with ordinal and interval dependent variables: examples from a study of real estate salespeople," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 1, pages 103-116, December.

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    More about this item

    JEL classification:

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

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