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Data analysis with ordinal and interval dependent variables: examples from a study of real estate salespeople

  • G. Martin Izzo

    ()

    (Mike Cottrell School of Business North Georgia College & State University Dahlonega, Georgia USA)

  • Barry E. Langford

    (Florida Gulf Coast University Fort Myers, Florida USA)

Registered author(s):

    This paper re-examines the problems of estimating the parameters of an underlying linear model using survey response data in which the dependent variables are in discrete categories of ascending order (ordinal, as distinct from numerical) or, where they are observed to fall into certain groups on a continuous scale (interval), where the actual values remain unobserved. An ordered probit model is discussed as an appropriate framework for statistical analysis for ordinal dependent variables. Next, a maximum likelihood estimator (MLE) derived from grouped data regression for interval dependent variable is discussed. Using LIMDEP, a packaged statistical program, survey data from an earlier manuscript are analyzed and the findings presented.

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    File URL: http://rebs.ro/resource/Research%20Paper/Izzo_M,_Langford_B_-_Data_analysis_with_ordinal_and_interval_dependent_variables.pdf
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    Article provided by Alexandru Ioan Cuza University, Faculty of Economics and Business Administration in its journal Review of Economic and Business Studies.

    Volume (Year): 1 (2008)
    Issue (Month): (December)
    Pages: 103-116

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    Handle: RePEc:aic:revebs:y:2008:v:1:p:103-116
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    1. 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.
    2. Stewart, Mark B, 1983. "On Least Squares Estimation When the Dependent Variable Is Grouped," Review of Economic Studies, Wiley Blackwell, vol. 50(4), pages 737-53, October.
    3. 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.
    4. 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.
    5. Jud, G Donald & Winkler, Daniel T, 1998. "The Earnings of Real Estate Salespersons and Others in the Financial Services Industry," The Journal of Real Estate Finance and Economics, Springer, vol. 17(3), pages 279-91, November.
    6. John D. Benjamin & G. Donald Jud & G. Stacy Sirmans, 2000. "What Do We Know About Real Estate Brokerage?," Journal of Real Estate Research, American Real Estate Society, vol. 20(1), pages 5-30.
    7. Michael A. Abelson & K. Michele Kacmar & Ellen F. Jackofsky, 1990. "Factors Influencing Real Estate Brokerage Sales Staff Performance," Journal of Real Estate Research, American Real Estate Society, vol. 5(2), pages 265-276.
    8. George Izzo, 2000. "Cognitive Moral Development and Real Estate Practitioners," Journal of Real Estate Research, American Real Estate Society, vol. 20(1), pages 179-188.
    9. 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.
    10. G. Stacy Sirmans & Philip G. Swicegood, 2000. "Determining Real Estate Licensee Income," Journal of Real Estate Research, American Real Estate Society, vol. 20(1), pages 189-204.
    11. G. Stacy Sirmans & Philip G. Swicegood, 1997. "Determinants of Real Estate Licensee Income," Journal of Real Estate Research, American Real Estate Society, vol. 14(2), pages 137-154.
    12. James R. Follain & Terry Lutes & David A. Meier, 1987. "Why Do Some Real Estate Salespeople Earn More Than Others?," Journal of Real Estate Research, American Real Estate Society, vol. 2(1), pages 73-81.
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