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Not your lucky day: romantically and numerically special wedding date divorce risks

Original Paper

Abstract

Characteristics of couples on or about their wedding day and characteristics of weddings have been shown to predict marital outcomes. Little is known, however, about how the dates of the weddings correlate with marriage durability. Using Dutch marriage and divorce registries from 1999 to 2013, this study compares the durations of marriages that began on unusually popular wedding dates with marriages on ordinary dates. We identify several distinct types of popular dates, including Valentine’s Day and numerically special days (dates with the same or sequential number values, e.g., 9.9.99, 1.2.03), showing that on an adjusted basis, the incidence of weddings on such dates was 137–509% higher than ordinary dates. The hazard odds of divorce for these special-date weddings were 18–36% higher than ordinary-date weddings. Sorting on couples’ observable characteristics accounts for some of the higher divorce risks, but even after controlling for these characteristics, special-date weddings were more vulnerable, with 10–17% higher divorce odds compared to ordinary dates. These relationships are even stronger for couples who have not married before.

Keywords

Marriage Divorce Valentine’s Day Commitment Weddings 

JEL classification

J1 

Notes

Acknowledgements

This research was supported by the Australian Research Council Centre of Excellence for Children and Families over the Life Course. The authors thank Andrew Cherlin, Robert Haveman, Jongsay Yong, colleagues at the Melbourne Institute of Applied Economic and Social Research, workshop participants at the University of North Carolina at Greensboro, and two anonymous reviewers for helpful comments. However, the authors’ findings and views are their own and should not be attributed to the Melbourne Institute.

Funding information

Both authors were supported by the Australian Research Council Centre of Excellence for Children and Families over the Life Course.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflicts of interest.

References

  1. Almond D, Chee CP, Sviatschi MM, Nan Z (2015) Auspicious birth dates among Chinese in California. Econ Hum Biol 18:153–159.  https://doi.org/10.1016/j.ehb.2015.05.005CrossRefGoogle Scholar
  2. Amato PR (2010) Research on divorce: continuing trends and new developments. J Marriage Fam 72(3):650–666.  https://doi.org/10.1111/j.1741-3737.2010.00723.xCrossRefGoogle Scholar
  3. Associated Press (2009) “Nine times the bliss: 9/9/09 big lucky day for weddings.” nydailynews.com September 9. Accessed May 29, 2016. http://www.nydailynews.com/news/national/times-bliss-9-9-09-big-lucky-day-las-vegas-weddings-article-1.164851Google Scholar
  4. Brien MJ, Lillard LA, Stern S (2006) Cohabitation, marriage, and divorce in a model of match quality. Int Econ Rev 47(2):451–494.  https://doi.org/10.1111/j.1468-2354.2006.00385.xCrossRefGoogle Scholar
  5. Buckles K, Hungerman D (2013) Season of birth and later outcomes: old questions, new answers. Rev Econ Stat 95(3):711–724.  https://doi.org/10.1162/REST_a_00314CrossRefGoogle Scholar
  6. Cherlin A (2004) The deinstituionalization of American marriage. J Marriage Fam 66(4):848–861.  https://doi.org/10.1111/j.0022-2445.2004.00058.xCrossRefGoogle Scholar
  7. de Graf PM, Kalmijn M (2006a) Divorce motives in a period of rising divorce. J Fam Issues 27(4):483–505.  https://doi.org/10.1177/0192513X05283982CrossRefGoogle Scholar
  8. de Graf PM, Kalmijn M (2006b) Change and stability in the social determinants of divorce: a comparison of marriage cohorts in the Netherlands. Eur Sociol Rev 22(5):561–572.  https://doi.org/10.1093/esr/jcl010CrossRefGoogle Scholar
  9. Dyer TFT (1881) Domestic folk-lore. London: Cassell, Petter, GalpinGoogle Scholar
  10. Farmer A, Horowitz A (2015) Strategic non-marital cohabitation: theory and empirical implications. J Popul Econ 28(1):219–237.  https://doi.org/10.1007/s00148-014-0517-9CrossRefGoogle Scholar
  11. Francis-Tan A, Mialon HM (2015) ‘A diamond is Forever’ and other fairy tales: the relationship between wedding expenses and marriage duration. Econ Inq 53(4):1919–1930.  https://doi.org/10.1111/ecin.12206CrossRefGoogle Scholar
  12. Goodman J, Irwin J (2006) Special random numbers: beyond the illusion of control. Org Behav Hum Decis Process 99(2):161–174.  https://doi.org/10.1016/j.obhdp.2005.08.004CrossRefGoogle Scholar
  13. Kalmijn M (2004) Marriage rituals as reinforcers of role transitions: an analysis of weddings in The Netherlands. J Marriage Fam 66(3):582–594.  https://doi.org/10.1111/j.0022-2445.2004.00039.xCrossRefGoogle Scholar
  14. Kalmijn M, Poortman A-R (2006) His or her divorce? The gendered nature of divorce and its determinants. Eur Sociol Rev 22(2):201–214CrossRefGoogle Scholar
  15. Levy B, Chung PH, Slade MD (2011) Influence of Valentine’s day and Halloween on birth timing. Soc Sci Med 73(8):1246–1248.  https://doi.org/10.1016/j.socscimed.2011.07.008CrossRefGoogle Scholar
  16. Mascarenhas, Rohan (2010) “Thousands of marrying couples make 10/10/10 a date to remember.” nj.com October 10. Accessed May 29, 2016. http://www.nj.com/news/index.ssf/2010/10/thousands_of_weddings_make_101.htmlGoogle Scholar
  17. Morgan, Hillary J., and Phillip R. Shaver (1999) “Attachment processes and commmitment to romantic relationships.” In Handbook of interpersonal commitment and relationship stability, edited by Jeffrey M. Adams and Warren H. Jones, 109–24. New York: Springer Science+Business Media, LLC, DOI:  https://doi.org/10.1007/978-1-4615-4773-0_6
  18. Murstein, Bernard (1999) “The relationship of exchange and commitment.” In Handbook of interpersonal commitment and relationship stability, edited by Jeffrey M. Adams and Warren H. Jones, 205–20. New York: Springer Science+Business Media, LLC, DOI: 10.1007/978-1-4615-4773-0_12Google Scholar
  19. Ogolsky B, Surra C, Kale MJ (2016) Pathways to commitment to wed: the development and dissolution of romantic relationships. J Marriage Fam 78(2):293–310.  https://doi.org/10.1111/jomf.12260CrossRefGoogle Scholar
  20. Ohlsson-Wijk S (2014) Digit preferences in marriage formation in Sweden: millennium marriages and birthday peaks. Demogr Res 30(25):739–752.  https://doi.org/10.4054/DemRes.2014.30.25CrossRefGoogle Scholar
  21. Rao Sahib P, Gu X (2002) ‘Living in Sin’ and marriage: a matching model. J Popul Econ 15(2):261–282.  https://doi.org/10.1007/s001480100073CrossRefGoogle Scholar
  22. Rao Sahib P, Gu X (2013) As good as married? A model of premarital cohabitation and learning. J Math Sociol 37(3):133–158.  https://doi.org/10.1080/0022250X.2011.597013CrossRefGoogle Scholar
  23. Rhoades GK, Stanley SM (2014) Before ‘I Do’: what do premarital experiences have to do with marital quality among Today’s young adults? University of Virginia, Charlottesville, The National Marriage Project Accessed May 15, 2016. http://before-i-do.org/Google Scholar
  24. Rusbult C (1980) Commitment and satisfaction in romantic associations: a test of the investment model. J Exp Soc Psychol 16:178–186CrossRefGoogle Scholar
  25. Sobotka T, Adigüzel F (2002) Religiosity and spatial demographic differences in the Netherlands. University of Groningen, GroningenGoogle Scholar
  26. Stanley SM, Rhoades GK, Markman HJ (2006) Sliding versus deciding: inertia and the premarital cohabitation effect. Fam Relat 55(4):499–509.  https://doi.org/10.1111/j.1741-3729.2006.00418.xCrossRefGoogle Scholar
  27. Surra CA, Hughes DK (1997) Commitment processes in accounts of the development of premarital relationships. J Marriage Fam 59(1):5–21.  https://doi.org/10.2307/353658CrossRefGoogle Scholar
  28. Surra CA, Arizzi P, Asmussen LA (1988) The association between reasons for commitment and the development and outcome of marital relationships. J Soc Pers Relat 5(1):47–63.  https://doi.org/10.1177/0265407588051003CrossRefGoogle Scholar
  29. Ting, Inga (2015) “The science behind the weird pattern in Australia’s most popular wedding dates.” Sydney Sun Herald, December 6, first ed.: 7. http://www.smh.com.au/national/what-are-the-most-popular-wedding-dates-in-australia-20151204-glfrodGoogle Scholar
  30. Treas J, Lui J, Gubernskaya Z (2014) Attitudes on marriage and new relationships: cross-national evidence on the deinstitutionalization of marriage. Demogr Res 30(54):1495–1526.  https://doi.org/10.4054/DemRes.2014.30.54CrossRefGoogle Scholar
  31. van Loon P, Rogier M v d A, van Dolder D, Wang T (2016) Number preferences in lotteries. Judgm Decis Mak 11(3):243–259Google Scholar
  32. Walker, Peter (2011) “Global wedding rush marks 11-11-11.” theguardian.com November 11. Accessed May 29, 2016. http://www.theguardian.com/news/blog/2011/nov/11/11-11-11-11-11-date-eventsGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Melbourne Institute: Applied Economic and Social Research and ARC Centre of Excellence for Children and Families over the Life CourseUniversity of MelbourneMelbourneAustralia
  2. 2.Institute of Labor Economics (IZA)BonnGermany
  3. 3.CentERTilburg University; and NetsparTilburgNetherlands

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