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Notas sobre Descomposiciones Microeconométricas: Un Análisis Antropométrico
[Notes on Microeconometric Decompositions: An Anthropometric Analysis]

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  • Lopez-Pablos, Rodrigo A.

Abstract

This essay presents a theoretic approximation on the microeconometric decompositions analysis by incorporating anthropometric variables, and apprainsing theirs presumable effects on the income distribution. A new body-mass-index based equivalent scale is proposed toward more accurate individual income's representativeness. By assuming an hypothetical empiric case, interesting interpretations would be arriving on the possible interactions among anthropometry and inequality which were accounted through a set of parameter's interpretations on whose meaning could be useful at the time by developing policies to cope with eventual not desired anthropometric effects on income distribution.

Suggested Citation

  • Lopez-Pablos, Rodrigo A., 2008. "Notas sobre Descomposiciones Microeconométricas: Un Análisis Antropométrico [Notes on Microeconometric Decompositions: An Anthropometric Analysis]," MPRA Paper 8222, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:8222
    as

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    File URL: https://mpra.ub.uni-muenchen.de/8222/3/MPRA_paper_8222.pdf
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    References listed on IDEAS

    as
    1. Timothy Smeeding & Gunther Schmaus & Brigitte Buhmann & Lee Rainwater, 1988. "Equivalence Scales, Well-Being, Inequality and Poverty: Sensitivity Estimates Across Ten Countries Using the LIS Database," LIS Working papers 17, LIS Cross-National Data Center in Luxembourg.
    2. Rodrigo A. Lopez-Pablos, 2007. "Health Econometric:Uncovering the Anthropometric Behavior on Women's Labor Market," Economics Bulletin, AccessEcon, vol. 28(10), pages 1.
    3. Anne Case & Christina Paxson, 2008. "Stature and Status: Height, Ability, and Labor Market Outcomes," Journal of Political Economy, University of Chicago Press, vol. 116(3), pages 499-532, June.
    4. John Cawley & Sheldon Danziger, 2004. "Obesity as a Barrier to the Transition from Welfare to Work," NBER Working Papers 10508, National Bureau of Economic Research, Inc.
    5. Brigitte Buhmann & Lee Rainwater & Guenther Schmaus & Timothy M. Smeeding, 1988. "Equivalence Scales, Well‐Being, Inequality, And Poverty: Sensitivity Estimates Across Ten Countries Using The Luxembourg Income Study (Lis) Database," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 34(2), pages 115-142, June.
    6. Buhmann, Brigitte, et al, 1988. "Equivalence Scales, Well-Being, Inequality, and Poverty: Sensitivity Estimates across Ten Countries Using the Luxembourg Income Study (LIS) Database," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 34(2), pages 115-142, June.
    7. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
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    10. repec:pri:indrel:case_paxson_stature_status_8312006 is not listed on IDEAS
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    More about this item

    Keywords

    Inequality; Decompositions; Anthropometry; Equivalence Scales; Parameter Interpretation; Discrimination;
    All these keywords.

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

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