摘要(英) |
This study uses the 17th year plan (RR2018) of the Panel Study of Family Dynamics (PSFD) to examine determinants of divorce in Taiwan. To be specific, how educational level, income, working hours, household composition , and five self-reported measures can affect the probability of divorce are investigated. Moreover, in order to understand the gender differences in reasons for divorce, we compare male subsample with female subsample. As far as spouse’s job stability is concerned, we divide the whole sample into spouses with full-time job and spouses with part-time job. The results show that: 1. The number of children and cohabitants is negatively related to the probability of divorce. 2. Even though the education level and labor participation rate of women continue to increase, men are expected to be breadwinners. 3. When individual’s spouse has sufficient economic stability, other factors become relatively irrelevant. That is, even if an individual is not satisfied with the marriage, he or she will continue maintaining the marriage due to his or her spouse’s stable financial performance. |
參考文獻 |
張清溪 (1980)。結婚生育與子女對有偶婦女勞動供給的影響。經濟論文叢刊,9 (2),167-223。
陳建良、陳昱彰 (2010)。台灣男性的婚姻溢酬:以內生性選擇模型探討。經濟研究,46(2),171-216。
Adler, P., & Öner Ö. (2013). Occupational Class and the Marriage Premium: Exploring Treatment Mechanisms. Los Angeles: UCLA Institute for Research on Labor and Employment (Working Papers, 2013-3).
Amato, P. R., & Cheadle, J. (2005). The long reach of divorce: Divorce and child well-being across three generations. Journal of Marriage and Family, 67(1), 191–206. doi:10.1111/j.0022-2445.2005.00014.x
Austen, S. (2004). Labour Supply and the Risk of Divorce: An Analysis of Australian Data. The Australian Economic Review, 37(2), 153–165. doi:10.1111/j.1467-8462.2004.00316.x
Becker, G. S. (1974). A Theory of Social Interactions. Journal of Political Economy, 82(6), 1063–1093. doi:10.1086/260265
Bramlett, M. D., & Mosher, W. D. (2002). Cohabitation, marriage, divorce, and remarriage in the
United States. Vital and Health Statistics, Series 23. Washington, DC: U.S. Government Printing Office.
Cooke, L. P. (2006). “Doing” Gender in Context: Household Bargaining and Risk of Divorce in Germany and the United States. American Journal of Sociology, 112(2), 442–472. doi:10.1086/506417
Holley, P., Yabiku, S., & Benin, M. (2006). The Relationship Between Intelligence and Divorce. Journal of Family Issues, 27(12), 1723–1748. doi:10.1177/0192513x06291887
Johnson, John H. (2004). Do long work hours contribute to divorce? Topics in Economic Analysis and Policy 4(1): 9–23.
Kalmijn, M., De Graaf, P. M., & Poortman, A.-R. (2004). Interactions Between Cultural and Economic Determinants of Divorce in The Netherlands. Journal of Marriage and Family, 66(1), 75–89. doi:10.1111/j.1741-3737.2004.00006.x
Keith, V. M., & Finlay, B. (1988). The Impact of Parental Divorce on Children’s Educational Attainment, Marital Timing, and Likelihood of Divorce. Journal of Marriage and the Family, 50(3), 797. doi:10.2307/352648
Killewald, A., & Gough, M. (2013). Does Specialization Explain Marriage Penalties and Premiums? American Sociological Review, 78(3), 477–502. doi:10.1177/0003122413484151
Lyngstad, T. H. (2004). The impact of parents’ and spouses’ education on divorce rates in Norway. Demographic Research, 10, 121–142. doi:10.4054/demres.2004.10.5
Lyngstad, T. H. (2005). Why do Couples with Highly Educated Parents have Higher Divorce Rates? European Sociological Review, 22(1), 49–60. doi:10.1093/esr/jci041
Mincer, Jacob (1974). Schooling, experience and earnings, New York: Columbia University Press.
Poortman, A.-R. (2005). How Work Affects Divorce. Journal of Family Issues, 26(2), 168–195. doi:10.1177/0192513x04270228 |