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Happy together: A regression discontinuity approach

Author

Listed:
  • Aistov, Andrey

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

Abstract
In the paper we use the RLMS-HSE 1994–2016 data to estimate changes in life satisfaction caused by cohabitation and marriage. We made empirical estimates by discontinuity design within the classical linear regression, ordered choice model, and model based on dichotomisation of dependent variable. The positive effects of changes in marital status on women’s life satisfaction are observed in all the cases but the marriage after living together. For men, the only effect of starting cohabitation is robust to the model choice and reduction of the width of observations window.

Suggested Citation

  • Aistov, Andrey, 2019. "Happy together: A regression discontinuity approach," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 53, pages 73-99.
    • Handle: RePEc:ris:apltrx:0362
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    References listed on IDEAS

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    More about this item

    Keywords

    life satisfaction; marriage; cohabitation; regression discontinuity design; RLMS-HSE;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • J12 - Labor and Demographic Economics - - Demographic Economics - - - Marriage; Marital Dissolution; Family Structure
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

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