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Estimating expenditure impacts without expenditure data using asset proxies

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  • Martin Wittenberg

    (School of Economics, University of Cape Town)

Abstract

When asset indices are used in regressions the coefficients obtained are typically difficult to interpret. We show how lower bounds on expenditure effects can be extracted, if the relationship between the assets and expenditure can be calibrated on an auxiliary data set.

Suggested Citation

  • Martin Wittenberg, 2009. "Estimating expenditure impacts without expenditure data using asset proxies," SALDRU Working Papers 29, Southern Africa Labour and Development Research Unit, University of Cape Town.
    • Handle: RePEc:ldr:wpaper:29
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    6. Chou, Shin-Yi & Grossman, Michael & Saffer, Henry, 2004. "An economic analysis of adult obesity: results from the Behavioral Risk Factor Surveillance System," Journal of Health Economics, Elsevier, vol. 23(3), pages 565-587, May.
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    Cited by:

    1. Nic Baigrie & Katherine Eyal, 2014. "An Evaluation of the Determinants and Implications of Panel Attrition in the National Income Dynamics Survey (2008-2010)," South African Journal of Economics, Economic Society of South Africa, vol. 82(1), pages 39-65, March.
    2. Martin Wittenberg & Murray Leibbrandt, 2017. "Measuring Inequality by Asset Indices: A General Approach with Application to South Africa," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63(4), pages 706-730, December.
    3. Martin Wittenberg, 2011. "The Weight of Success: The Body Mass Index and Economic Well-being in South Africa," SALDRU Working Papers 65, Southern Africa Labour and Development Research Unit, University of Cape Town.
    4. Emmanuel Maliti, 2019. "Inequality in Education and Wealth in Tanzania: A 25-Year Perspective," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 145(3), pages 901-921, October.

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    More about this item

    Keywords

    asset index; proxy variables; attenuation; obesity;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

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