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Self-selection bias and cost-of-living estimates

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  • Michael Raper

Abstract

Due to continued interest in geographic living-cost differentials, some researchers have used data from the ACCRA Cost of Living Index. This paper explores further the potential for using ACCRA data for cost-of-living research. In particular, it investigates the possibility of self-selection bias affecting OLS estimates using ACCRA data. The findings indicate that self-selection bias is a concern that researchers using ACCRA data should be aware of. Results using Heckman’s two-step procedure to estimate a cost-of-living model indicate promise for using ACCRA data to update and expand upon previous cost-of-living research. Copyright Springer 1999

Suggested Citation

  • Michael Raper, 1999. "Self-selection bias and cost-of-living estimates," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 23(1), pages 64-77, March.
    • Handle: RePEc:spr:jecfin:v:23:y:1999:i:1:p:64-77
    DOI: 10.1007/BF02752688
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    1. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492, National Bureau of Economic Research, Inc.
    2. Rizzo, John A. & Blumenthal, David, 1994. "Physician labor supply: Do income effects matter?," Journal of Health Economics, Elsevier, vol. 13(4), pages 433-453.
    3. Richard J. Cebula, 1980. "Determinants of Geographic Living-Cost Differentials in the United States: An Empirical Note," Land Economics, University of Wisconsin Press, vol. 56(4), pages 477-481.
    4. Walter W. McMahon, 1991. "Geographical Cost of Living Differences: An Update," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 19(3), pages 426-450, September.
    5. Mroz, Thomas A, 1987. "The Sensitivity of an Empirical Model of Married Women's Hours of Work to Economic and Statistical Assumptions," Econometrica, Econometric Society, vol. 55(4), pages 765-799, July.
    6. Oded Izraeli, 1977. "Differentials in Nominal Wages and Prices Between Cities," Urban Studies, Urban Studies Journal Limited, vol. 14(3), pages 275-290, October.
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    Cited by:

    1. Elsie Echeverri‐Carroll & Sofia G. Ayala, 2009. "Wage differentials and the spatial concentration of high‐technology industries," Papers in Regional Science, Wiley Blackwell, vol. 88(3), pages 623-641, August.
    2. Mark D. Brenner & Stephanie Luce, 2003. "Evaluation of a Proposal to Reinstate the New York Stock Transfer Tax," Research Reports rr8, Political Economy Research Institute, University of Massachusetts at Amherst.
    3. Christina Daly & Keith R. Phillips, 2009. "Improving the ACCRA U.S. regional cost of living index," Working Papers 0902, Federal Reserve Bank of Dallas.
    4. Anthony Jerome Anderson & Michael Stuart Long, 2017. "Explaining the On-The-Run Puzzle with Corporate Bonds," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 20(02), pages 1-36, June.
    5. Lenard, Mary Jane & Petruska, Karin A. & Alam, Pervaiz & Yu, Bing, 2016. "Internal control weaknesses and evidence of real activities manipulation," Advances in accounting, Elsevier, vol. 33(C), pages 47-58.
    6. Richard J. Cebula & John Connaughton & Caroline Swartz, 2018. "An Empirical Analysis of the Impact of the Three Labor Market Freedom Indices and Occupational Licensing on Interstate Living-Cost Differentials," Journal of Private Enterprise, The Association of Private Enterprise Education, vol. 33(Fall 2018), pages 49-62.

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