IDEAS home Printed from https://ideas.repec.org/a/aic/revebs/y2008v1p103-116.html
   My bibliography  Save this article

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

Author

Listed:
  • 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)

Abstract

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.

Suggested Citation

  • 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.
  • Handle: RePEc:aic:revebs:y:2008:v:1:p:103-116
    as

    Download full text from publisher

    File URL: http://rebs.ro/resource/Research%20Paper/Izzo_M,_Langford_B_-_Data_analysis_with_ordinal_and_interval_dependent_variables.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. 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.
    2. Mark B. Stewart, 1983. "On Least Squares Estimation when the Dependent Variable is Grouped," Review of Economic Studies, Oxford University Press, vol. 50(4), pages 737-753.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    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. 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.
    10. 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.
    11. 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 279-291, November.
    12. 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.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aic:revebs:y:2008:v:1:p:103-116. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sireteanu Napoleon-Alexandru). General contact details of provider: http://edirc.repec.org/data/feaicro.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.