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Further Results on Interpreting Coefficients in Regressions with a Logarithmic Dependent Variable

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  • Megerdichian Aren

    (Compass Lexecon, 55 South Lake Avenue, Suite 650, Pasadena, CA 91101, USA)

Abstract

Estimators are presented for quantifying the proportional rate of change in the continuous variable Y from a regression in which the dependent variable is the logarithm of Y, and the data generation process includes explanatory variables of interest that may be binary (dummy), continuous, or logarithmic. Estimators from earlier works that examine the binary explanatory variable are special cases of the results presented here. The additional estimators provided here will be useful to practitioners who must convert coefficients estimated from regression models specified with a logarithmic dependent variable into proportional rates of change.

Suggested Citation

  • Megerdichian Aren, 2018. "Further Results on Interpreting Coefficients in Regressions with a Logarithmic Dependent Variable," Journal of Econometric Methods, De Gruyter, vol. 7(1), pages 1-5, January.
    • Handle: RePEc:bpj:jecome:v:7:y:2018:i:1:p:5:n:8
    DOI: 10.1515/jem-2016-0015
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    References listed on IDEAS

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    1. Giles, David E. A., 1982. "The interpretation of dummy variables in semilogarithmic equations : Unbiased estimation," Economics Letters, Elsevier, vol. 10(1-2), pages 77-79.
    2. Kees Jan Van Garderen & Chandra Shah, 2002. "Exact interpretation of dummy variables in semilogarithmic equations," Econometrics Journal, Royal Economic Society, vol. 5(1), pages 149-159, June.
    3. Kennedy, Peter E, 1981. "Estimation with Correctly Interpreted Dummy Variables in Semilogarithmic Equations [The Interpretation of Dummy Variables in Semilogarithmic Equations]," American Economic Review, American Economic Association, vol. 71(4), pages 801-801, September.
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