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Household structure and poverty.

R E Wright

    Genus
    |July 1, 1994
    PubMed
    Summary
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    This study introduces direct standardization to control for household composition when measuring poverty. This method reveals underlying poverty differences across seven European countries, accounting for demographic factors.

    Area of Science:

    • Socioeconomics
    • Demography
    • Poverty Measurement

    Background:

    • Poverty measurement is often confounded by compositional factors, such as household structure.
    • Existing methods may not adequately control for these demographic variations.
    • Direct standardization, a demographic technique, offers a potential solution.

    Purpose of the Study:

    • To propose and illustrate a method for controlling compositional factors in poverty measurement.
    • To examine underlying differences in poverty across European countries, adjusting for household structure.

    Main Methods:

    • Application of direct standardization to poverty measurement.
    • Analysis of household structure and poverty incidence/intensity.
    • Utilizing Luxembourg Income Study data for seven European nations around 1985.
    Keywords:
    Data AdjustmentDeveloped CountriesEastern EuropeEconomic FactorsEuropeFranceGermanyItalyLuxembourgMeasurementMediterranean CountriesNetherlandsNorthern EuropePolandPovertyResearch MethodologySocioeconomic FactorsSouthern EuropeStandardizationUnited KingdomWestern Europe

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    Main Results:

    • The direct standardization method allows for the examination of poverty differences independent of compositional variations.
    • The study illustrates how household structure correlates with poverty incidence and intensity.
    • Comparative poverty analysis across France, Germany, Italy, Luxembourg, Netherlands, Poland, and Great Britain is presented.

    Conclusions:

    • Direct standardization provides a robust approach to controlling for compositional factors in poverty measurement.
    • This method enhances the comparability of poverty data across different populations and contexts.
    • Understanding the interplay between household structure and poverty is crucial for effective policy interventions.