Analysis of non-cognitive characteristics of marital status in Russia

Elena Kopnova (ekopnova@hse.ru), Liliya Rodionova (lrodionova@hse.ru) and Marina Ivanova (maivanova_18@edu.hse.ru)
Additional contact information
Elena Kopnova: HSE University, Moscow, Russian Federation
Liliya Rodionova: HSE University, Moscow, Russian Federation
Marina Ivanova: HSE University, Moscow, Russian Federation

Applied Econometrics, 2025, vol. 77, 116-143

Abstract: The paper analyzes the relationship of non-cognitive characteristics with the change of marital status of Russian citizens. Four options for changing the status were considered: entering into a first relationship, entering into a relationship after divorce, entering into a relationship after widowhood, as well as leaving a registered marriage. Each option assumed two competing outcomes: for the first three — marriage and cohabitation, for the fourth — divorce and widowhood. The methodology of analyzing the duration of states was applied. A statistically significant relationship between non-cognitive characteristics and the probability of the outcomes under consideration was revealed, and its dynamic features were demonstrated. Conscientiousness and extraversion were manifested for options for entering into a first relationship and a relationship after divorce, neuroticism and extraversion — for the option of entering into a relationship after widowhood, extraversion — for the outcome of divorce

Keywords: non-cognitive characteristics; marital status; state duration models; competing risks (search for similar items in EconPapers)
JEL-codes: C51 J12 J24 (search for similar items in EconPapers)
Date: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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: https://EconPapers.repec.org/RePEc:ris:apltrx:0518

Access Statistics for this article

Applied Econometrics is currently edited by Anatoly Peresetsky

More articles in Applied Econometrics from Russian Presidential Academy of National Economy and Public Administration (RANEPA)
Bibliographic data for series maintained by Anatoly Peresetsky (p.ekonometrika@gmail.com).