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Computing Marginal Effects In The Box-Cox Model

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  • Jason Abrevaya

Abstract

This paper considers computation of fitted values and marginal effects in the Box-Cox regression model. Two methods, 1 the “smearing” technique suggested by Duan (see Ref. [10]) and 2 direct numerical integration, are examined and compared with the “naive” method often used in econometrics.

Suggested Citation

  • Jason Abrevaya, 2002. "Computing Marginal Effects In The Box-Cox Model," Econometric Reviews, Taylor & Francis Journals, vol. 21(3), pages 383-393.
    • Handle: RePEc:taf:emetrv:v:21:y:2002:i:3:p:383-393
    DOI: 10.1081/ETC-120015789
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    References listed on IDEAS

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    1. Wooldridge, Jeffrey M, 1992. "Some Alternatives to the Box-Cox Regression Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 33(4), pages 935-955, November.
    2. Showalter, Mark H, 1994. "A Monte Carlo Investigation of the Box-Cox Model and a Nonlinear Least Squares Alternative," The Review of Economics and Statistics, MIT Press, vol. 76(3), pages 560-570, August.
    3. Poirier, Dale J & Melino, Angelo, 1978. "A Note on the Interpretation of Regression Coefficients within a Class of Truncated Distributions," Econometrica, Econometric Society, vol. 46(5), pages 1207-1209, September.
    4. Amemiya, Takeshi & Powell, James L., 1981. "A comparison of the Box-Cox maximum likelihood estimator and the non-linear two-stage least squares estimator," Journal of Econometrics, Elsevier, vol. 17(3), pages 351-381, December.
    5. Manning, Willard G., 1998. "The logged dependent variable, heteroscedasticity, and the retransformation problem," Journal of Health Economics, Elsevier, vol. 17(3), pages 283-295, June.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Jim Engle-Warnick & Sonia Laszlo, 2017. "Learning-by-doing in an ambiguous environment," Journal of Risk and Uncertainty, Springer, vol. 55(1), pages 71-94, August.
    2. Jaume Garcia Villar & María José Suárez, 2021. "The relevance of the specification assumptions when modelling the correlates of physical activity: an analysis across dimensions," Economics Working Papers 1804, Department of Economics and Business, Universitat Pompeu Fabra.
    3. Bosbach, Moritz & Maietta, Ornella Wanda, 2019. "The Implicit Price for Fair Trade Coffee: Does Social Capital Matter?," Ecological Economics, Elsevier, vol. 158(C), pages 34-41.
    4. Prince Etwire & David Fielding & Victoria Kahui, 2017. "The impact of climate change on crop production in Ghana: A Structural Ricardian analysis," Working Papers 1706, University of Otago, Department of Economics, revised Apr 2017.
    5. Daniel, Vanessa E. & Florax, Raymond J.G.M. & Rietveld, Piet, 2009. "Flooding risk and housing values: An economic assessment of environmental hazard," Ecological Economics, Elsevier, vol. 69(2), pages 355-365, December.
    6. García, Jaume & Suárez, María José, 2023. "The relevance of specification assumptions when analyzing the drivers of physical activity practice," Economic Modelling, Elsevier, vol. 119(C).
    7. María José Suarez & Jaume Garcia-Villar, 2021. "The Relevance of the Specification Assumptions when Modelling the Correlates of Physical Activity: an Analysis across Dimensions," Working Papers 1296, Barcelona School of Economics.
    8. Jean‐Paul Chaze, 2005. "Assessing household health expenditure with Box–Cox censoring models," Health Economics, John Wiley & Sons, Ltd., vol. 14(9), pages 893-907, September.
    9. Stéphane Bonhomme & Ulrich Sauder, 2009. "Accounting for Unobservables in Comparing Selective and Comprehensive Schooling," Working Papers wp2009_0906, CEMFI.

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    More about this item

    Keywords

    Marginal effects; Box-Cox model; JEL Classification : C13; C21;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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