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  1. A bivariate relative poverty line for time and income poverty
    detecting intersectional differences using distributional copulas
    Erschienen: [2021]
    Verlag:  Georg-August-Universität Göttingen, Göttingen

    Empirical research on poverty today often goes beyond a focus on income to consider other dimensions of well-being. However, relatively few multidimensional poverty measures explicitly consider time, despite its particular relevance to women's double... mehr

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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    DS 42
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    Empirical research on poverty today often goes beyond a focus on income to consider other dimensions of well-being. However, relatively few multidimensional poverty measures explicitly consider time, despite its particular relevance to women's double burden of paid and unpaid work. We construct a bivariate relative poverty line between income and leisure, based on their joint distribution in the population. Because the strength of the dependence between income and leisure influences the vulnerability to poverty, we incorporate distributional regression into copula models. Utilizing the 2018 Mexican National Survey of Households, Income and Expenses, we investigate differences in bidimensional poverty with respect to gender and ethnicity. We find that the fraction defined as bidimensional poor is 18 percentage points higher than the poverty rate computed from separate time and income measures. Those below the relative but above the absolute poverty line are primarily non-indigenous women whose poverty is made visible by our approach.

     

    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/251337
    Schriftenreihe: University of Göttingen working paper in economics ; no. 435 (December 2021)
    Schlagworte: bivariate relative poverty line; bivariate distributional copulamodel; income distribution; leisure time distribution; Mexican NationalSurvey of Households; intersectionality
    Umfang: 1 Online-Ressource (circa 55 Seiten), Illustrationen
  2. A flexible copula regression model with Bernoulli and Tweedie margins for estimating the effect of spending on mental health
    Erschienen: May 2022
    Verlag:  University of Zurich, Department of Economics, Zurich

    Previous evidence shows that better insurance coverage increases medical expenditure. However, formal studies on the effect of spending on health outcomes, and especially mental health, are lacking. To fill this gap, we reanalyze data from the Rand... mehr

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    Verlag (kostenfrei)
    Resolving-System (kostenfrei)
    Resolving-System (kostenfrei)
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    DS 191
    keine Fernleihe

     

    Previous evidence shows that better insurance coverage increases medical expenditure. However, formal studies on the effect of spending on health outcomes, and especially mental health, are lacking. To fill this gap, we reanalyze data from the Rand Health Insurance Experiment and estimate a joint non-linear model of spending and mental health. We address the endogeneity of spending in a flexible copula regression model with Bernoulli and Tweedie margins and discuss its implementation in the freely available GJRM R package. Results confirm the importance of accounting for endogeneity: in the joint model, a $1000 spending in mental care is estimated to reduce the probability of low mental health by 1.3 percentage points, but this effect is not statistically significant. Ignoring endogeneity leads to a spurious (upwardly biased) estimate.

     

    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/260597
    Schriftenreihe: Working paper series / University of Zurich, Department of Economics ; no. 413
    Schlagworte: Binary response; co-payment; copula; health expenditures; penalized regression spline; Rand experiment; simultaneous estimation; Tweedie distribution
    Umfang: 1 Online-Ressource (circa 34 Seiten), Illustrationen