IDEAS home Printed from https://ideas.repec.org/a/ine/journl/v48y2019i57p104-119.html
   My bibliography  Save this article

The Econometric Analysis between Divorce Phenomenon and Economic-Social Variables in Romania

Author

Listed:
  • Andreea-Ionela PUIU

    (PhD Student - The Bucharest University of Economic Studies, Romania)

Abstract

We are currently observing an increased interest in studying the factors of influence that may cause changes in the family structures and may contribute to the emergence of divorce in our contemporary society. According to the data provided by the National Institute of Statistics, Romania does not represent an exception in this respect and research aimed to distinguish the most important factors that contribute to the expansion of this phenomenon, identifies economic causes as an essential factor in settling such a decision. In this paper it is intended to establish a possible link between the number of divorces in Romania and socio-economic predictors such as, the age at the first marriage for men and women, the monthly average nominal salary, the unemployment rate, the number of graduates in the pre-university education, the percentage of the urban population in the total population and the number of dwellings newly built and received by beneficiaries. Research within the counties, between 1996 and 2014, through a panel data analysis. Also, the present paper is proposing to study the actual differences between rural and urban areas, in order to have a reliable delimitation of the environmental determinants that may lead to this family degradation process.

Suggested Citation

  • Andreea-Ionela PUIU, 2019. "The Econometric Analysis between Divorce Phenomenon and Economic-Social Variables in Romania," Romanian Journal of Economics, Institute of National Economy, vol. 48(1(57)), pages 104-119, June.
    • Handle: RePEc:ine:journl:v:48:y:2019:i:57:p:104-119
    as

    Download full text from publisher

    File URL: http://www.revecon.ro/articles/2019-1/2019-1-7.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Croissant, Yves & Millo, Giovanni, 2008. "Panel Data Econometrics in R: The plm Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i02).
    2. Weiss, Yoram & Willis, Robert J, 1997. "Match Quality, New Information, and Marital Dissolution," Journal of Labor Economics, University of Chicago Press, vol. 15(1), pages 293-329, January.
    3. Becker, Gary S & Landes, Elisabeth M & Michael, Robert T, 1977. "An Economic Analysis of Marital Instability," Journal of Political Economy, University of Chicago Press, vol. 85(6), pages 1141-1187, December.
    4. Simon Burgess & Carol Propper & Arnstein Aassve, 2003. "The role of income in marriage and divorce transitions among young Americans," Journal of Population Economics, Springer;European Society for Population Economics, vol. 16(3), pages 455-475, August.
    5. Becker, Gary S, 1973. "A Theory of Marriage: Part I," Journal of Political Economy, University of Chicago Press, vol. 81(4), pages 813-846, July-Aug..
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. John M. Nunley & Alan Seals, 2010. "The Effects of Household Income Volatility on Divorce," American Journal of Economics and Sociology, Wiley Blackwell, vol. 69(3), pages 983-1010, July.
    2. Domenico Tabasso, 2011. "With or Without You: Hazard of Divorce and Intra-household Allocation of Time," Melbourne Institute Working Paper Series wp2011n07, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    3. Rebecca Kippen & Bruce Chapman & Peng Yu, 2010. "What's love got to do with it? Homogamy and dyadic approaches to understanding marital instability," CEPR Discussion Papers 631, Centre for Economic Policy Research, Research School of Economics, Australian National University.
    4. Marcus Eliason, 2012. "Lost jobs, broken marriages," Journal of Population Economics, Springer;European Society for Population Economics, vol. 25(4), pages 1365-1397, October.
    5. Daniel Avdic & Arizo Karimi, 2018. "Modern Family? Paternity Leave and Marital Stability," American Economic Journal: Applied Economics, American Economic Association, vol. 10(4), pages 283-307, October.
    6. John Douglas Skåtun, 2017. "Bargaining on your Spouse: Coasean and Non-Coasean Behaviour Within Marriage," Journal of Family and Economic Issues, Springer, vol. 38(2), pages 263-278, June.
    7. Laurens Cherchye & Bram De Rock & Frederic Vermeulen & Selma Walther, 2021. "Where did it go wrong? Marriage and divorce in Malawi," Quantitative Economics, Econometric Society, vol. 12(2), pages 505-545, May.
    8. Blanden, Joanne, 2005. "Love and Money: Intergenerational Mobility and Marital Matching on Parental Income," Analytical Studies Branch Research Paper Series 2005272e, Statistics Canada, Analytical Studies Branch.
    9. Delia Furtado & Miriam Marcén & Almudena Sevilla, 2013. "Does Culture Affect Divorce? Evidence From European Immigrants in the United States," Demography, Springer;Population Association of America (PAA), vol. 50(3), pages 1013-1038, June.
    10. repec:hal:spmain:info:hdl:2441/4u07fqmc7q90d9u66sk1a7qgko is not listed on IDEAS
    11. Quentin Lippmann & Alexandre Georgieff & Claudia Senik, 2020. "Undoing Gender with Institutions: Lessons from the German Division and Reunification," The Economic Journal, Royal Economic Society, vol. 130(629), pages 1445-1470.
    12. Peter Thompson, 2008. "Desperate Housewives? Communication Difficulties and the Dynamics of Marital (un)Happiness," Economic Journal, Royal Economic Society, vol. 118(532), pages 1640-1669, October.
    13. Yunhee Chang & Ki Lee, 2006. "Household Debt and Marital Instability: Evidence from the Korean Labor and Income Panel Study," Journal of Family and Economic Issues, Springer, vol. 27(4), pages 675-691, December.
    14. Gould, Eric D. & Paserman, M. Daniele, 2003. "Waiting for Mr. Right: rising inequality and declining marriage rates," Journal of Urban Economics, Elsevier, vol. 53(2), pages 257-281, March.
    15. Kerwin Kofi Charles & Melvin Stephens, 2004. "Job Displacement, Disability, and Divorce," Journal of Labor Economics, University of Chicago Press, vol. 22(2), pages 489-522, April.
    16. Sebastian Negrusa & Brighita Negrusa & James Hosek, 2014. "Gone to war: have deployments increased divorces?," Journal of Population Economics, Springer;European Society for Population Economics, vol. 27(2), pages 473-496, April.
    17. repec:spo:wpmain:info:hdl:2441/4u07fqmc7q90d9u66sk1a7qgko is not listed on IDEAS
    18. Fang, Li & Tian, Chuanhao, 2018. "Housing and marital matching: A signaling perspective," China Economic Review, Elsevier, vol. 47(C), pages 27-46.
    19. David J. G. Slusky & Donna K. Ginther, 2021. "Did Medicaid expansion reduce medical divorce?," Review of Economics of the Household, Springer, vol. 19(4), pages 1139-1174, December.
    20. Gustavo J. Bobonis, 2011. "The Impact of Conditional Cash Transfers on Marriage and Divorce," Economic Development and Cultural Change, University of Chicago Press, vol. 59(2), pages 281-312.
    21. Dan Anderberg, 2001. "An Equilibrium Analysis of Marriage, Divorce and Risk-Sharing," CESifo Working Paper Series 555, CESifo.
    22. Jiaping Zhang & Mingwang Cheng & Xinyu Wei & Xiaomei Gong, 2018. "Does Mobile Phone Penetration Affect Divorce Rate? Evidence from China," Sustainability, MDPI, vol. 10(10), pages 1-19, October.

    More about this item

    Keywords

    Divorce; Family; Econometric Analysis; Fixed Effects Model; Panel Data Analysis;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ine:journl:v:48:y:2019:i:57:p:104-119. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Valentina Vasile (email available below). General contact details of provider: https://edirc.repec.org/data/inacaro.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.