Economics at your fingertips  

Happy together: A regression discontinuity approach

Andrey Aistov ()

Applied Econometrics, 2019, vol. 53, 73-99

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.

Keywords: life satisfaction; marriage; cohabitation; regression discontinuity design; RLMS-HSE (search for similar items in EconPapers)
JEL-codes: C21 C25 I31 J12 J16 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link) Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Access Statistics for this article

Applied Econometrics is currently edited by Anatoly Peresetsky

More articles in Applied Econometrics from Publishing House "SINERGIA PRESS"
Bibliographic data for series maintained by Anatoly Peresetsky ().

Page updated 2019-09-18
Handle: RePEc:ris:apltrx:0362