Measuring living standards with proxy variables View Full Text


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Article Info

DATE

2000-05

AUTHORS

Mark R. Montgomery, Michele Gragnolati, Kathleen A. Burke, Edmundo Paredes

ABSTRACT

Very few demographic surveys in developing countries have gathered information on household incomes or consumption expenditures. Researchers interested in living standards therefore have had little alternative but to rely on simple proxy indicators. The properties of these proxies have not been analyzed systematically. We ask what hypotheses can be tested using proxies, and compare these indicators with consumption expenditures per adult, our preferred measure of living standards. We find that the proxies employed in much demographic research are very weak predictors of consumption per adult. Nevertheless, hypothesis tests based on proxies are likely to be powerful enough to warrant consideration. More... »

PAGES

155-174

References to SciGraph publications

  • 1996-02. Estimating seasonality effects on child mortality in Matlab, Bangladesh in DEMOGRAPHY
  • 1990-11. Rural-to-Urban migration and child survival in Senegal in DEMOGRAPHY
  • 1990-11. Determinants of contraceptive switching behavior in rural Sri Lanka in DEMOGRAPHY
  • 1990-05. Birth Intervals and Childhood Mortality in Rural Bangladesh in DEMOGRAPHY
  • 1995-02. Binary outcomes and endogenous explanatory variables: Tests and solutions with an application to the demand for contraceptive use in tunisia in DEMOGRAPHY
  • 1991-05. Influences on the Extent of Breast-Feeding: A Prospective Study in the PhiLippines in DEMOGRAPHY
  • 1996-05. Prenatal and delivery care and childhood immunization in guatemala: Do family and community matter?* in DEMOGRAPHY
  • 1993-02. The duration of breast-feeding: How is it affected by biological, sociodemographic, health sector, and food industry factors? in DEMOGRAPHY
  • 1996-05. Community characteristics, individual and household attributes, and child survival in brazil in DEMOGRAPHY
  • 1991-02. Family size and children’s education in Thailand: Evidence from a national sample in DEMOGRAPHY
  • 1991-02. Increasing contraceptive use in Bangladesh: The role of demand and supply factors in DEMOGRAPHY
  • 1991-02. Trends and determinants of contraceptive use in Kenya in DEMOGRAPHY
  • 1994-11. The impact of child care on fertility in urban Thailand in DEMOGRAPHY
  • 1995-11. A marriage trichotomy and its applications in DEMOGRAPHY
  • 1995-05. The Determinants of the Duration of Postpartum Sexual Abstinence in West Africa: A Multilevel Analysis in DEMOGRAPHY
  • 1989-02. Household income and child survival in Egypt in DEMOGRAPHY
  • 1996-05. The fertility impact of alternative family planning distribution channels in Indonesia in DEMOGRAPHY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.2307/2648118

    DOI

    http://dx.doi.org/10.2307/2648118

    DIMENSIONS

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    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/10836174


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