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Child benefits’ impact on poverty: Multivariate probit estimates

Author

Listed:
  • Philippova, Anna

    (National Research University Higher School of Economics, Moscow, Russian Federation)

  • Kolosnitsyna, Marina

    (National Research University Higher School of Economics, Moscow, Russian Federation)

Abstract

Families with children in Russia are particularly exposed to risk of poverty. In this article we analyzed child benefits’ impact poverty of households with children using pooled probit model, panel probit model with random effects and multivariate probit model. Results show that receiving of benefits is positively linked with decrease of absolute and relative poverty and increase of subjective poverty (in one of the specifications of the model).

Suggested Citation

  • Philippova, Anna & Kolosnitsyna, Marina, 2018. "Child benefits’ impact on poverty: Multivariate probit estimates," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 52, pages 62-90.
    • Handle: RePEc:ris:apltrx:0356
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    References listed on IDEAS

    as
    1. Kolosnitsyna, Marina G. (Колосницына, Марина) & Philippova, Anna V. (Филиппова, Анна), 2017. "Child Benefits and Poverty: The Case of Russia [Детские Пособия И Бедность В России]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 4, pages 118-153, August.
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    More about this item

    Keywords

    child benefits; absolute poverty; relative poverty; subjective poverty; multivariate probit; Russia; RLMS HSE;
    All these keywords.

    JEL classification:

    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs

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