Pierre André Chiappori (Columbia) "Family Economics" - Cemmap

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9. Investment in Schooling and the Marriage Market 421 and in the market that favor women, must be “armed” with additional schooling to overcome norms and beliefs that originate in the past. We should add that there are other possible reasons for why women may invest in schooling more than men. One reason is that there are more women than men in the marriage market at the relatively young ages at which schooling is chosen, because women marry younger. Iyigun and Walsh (2007) have shown, using a similar model to the one discussed here, that in such a case women will be induced to invest more than men in competition for the scarce males. Another reason is that divorce is more harmful to women, because men are more likely to initiate divorce when the quality of match is revealed to be low. This asymmetry is due to the higher income of men and the usual custody arrangements (see Chiappori and Weiss, 2007). In such a case, women may use schooling as an insurance device that mitigates their costs from unwanted divorce.
422 9. Investment in Schooling and the Marriage Market 9.6 References [1] Albanesi, Stefania and Claudia Olivetti, ‘Home Production, Market Production and the Gender Wage Gap: Incentives and Expectations’, Review of Economic Dynamics, 12 (2009), 80—107. [2] Baker, Matthew J. and Joyce P. Jacobsen, ‘Marriage, Specialization, and the Gender Division of Labor’, Journal of Labor Economics, 25 (2007), 763-793. [3] Becker, Gary, Treatise on the family, (Cambridge Mass: Harvard University Press, 1991). [4] Behrman, Jere R., ‘Mother’s Schooling and Child Education: A Survey’, PIER Working Paper No. 97-025, (1997). [5] Chiappori Pierre-Andre and Yoram Weiss, ‘Divorce, Remarriage, and Child Support’, Journal of Labor Economics, 25 (2007), 37-74. [6] Chiappori, Pierre-Andre, Iyigun, Murat, and Yoram Weiss, ‘Investment in Schooling and the Marriage Market’, American Economic Review, 99 (2009), 1689-1713. [7] Chichilnisky, Graciela, ‘The Gender Gap’, Review of Development Economics, 12 (2008), 828-844. [8] Cole, Harold Linh, Mailath, George J., and Andrew Postlewaite, ‘Efficient Non-Contractible Investments in Finite Economies’, Journal of Economic Theory, 101 (2001), 333-373. [9] Dougherty, Christopher, ‘Why Are the Returns to Schooling Higher for WomenthanforMen?’,Journal of Human Resources, 40 (2005), 969-988. [10] Felli, Leonardo and Kevin W.S. Roberts, ‘Does Competition Solve the Hold-Up Problem?’, CEPR Discussion Paper No. 3535, (2002). [11] Fernandez, Raquel, ‘Culture as Learning: The Evolution of Female Labor Force Participation over a Century’, NBER Working Paper No. 13373, (2007). [12] Glewwe, Paul, ‘Why Does Mother’s Schooling Raise Child Health in Developing Countries? Evidence from Morocco’, The Journal of Human Resources, 34 (1999), 124-159. [13] Goldin, Claudia, ‘Career and Family: College Women Look at the Past’, in Blau, Francine D., (eds.) and Ehrenberg, Ronald G., (eds.), Gender and Family Issues in the Workplace, (NewYork,Russell Sage Foundation, 1997).
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Family Economics Martin Browning Pi
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iv 3.2 Householdproduction ........
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vi 6.4 IntertemporalBehavior ......
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viii 11 Marriage, Divorce, Children
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List of Figures 1.1 Marriage Rates
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xiii 4.2 Apotentiallycompensatingva
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Introduction The existence of a nuc
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two distinct solution concepts; one
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were affectedbytherisinginvestments
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Murat Iyigun, Guy Lacroix, Valérie
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Part I Models of Household Behavior
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14 1. Facts there appear to be age,
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16 1. Facts 1.1.4 Transitions The m
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18 1. Facts sumption goods within h
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20 1. Facts may not capture the ful
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22 1. Facts This process is driven
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24 1. Facts 1.4 Children Children a
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26 1. Facts a major policy concern
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28 1. Facts have means for, say, hi
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30 1. Facts [21] Michael, Robert,
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32 1. Facts Age group USA Denmark 1
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34 1. Facts Birth cohort 1931-36 19
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36 1. Facts USA Canada UK Norway Ye
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38 1. Facts Country Male Participat
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40 1. Facts Mother’s Age 20-30 31
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42 1. Facts rate per 1000, 20+ 18 1
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44 1. Facts Marriage rate per 1000
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46 1. Facts percent entering first
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48 1. Facts percent entering divorc
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50 1. Facts 100% 90% 80% 70% 60% 50
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52 1. Facts 1 0.8 0.6 0.4 0.2 0 23
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54 1. Facts 0.8 0.6 0.4 0.2 0 23 25
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56 1. Facts 0.8 0.6 0.4 0.2 0 1968
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58 1. Facts 6.8 6.6 6.4 6.2 6 5.8 2
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60 1. Facts 0.4 0.2 0 -0.2 -0.4 196
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62 1. Facts 0.6 0.4 0.2 0 1968 1970
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64 1. Facts FIGURE 1.23. Age Pyrami
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66 1. Facts 0.6 0.4 0.2 0 1930 1933
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68 1. Facts 100% 80% 60% 40% 20% 0%
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70 1. Facts 0.35 0.3 0.25 0.2 0.15
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72 1. Facts 100% 80% 60% 40% 20% 0%
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74 1. Facts Average number of child
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76 1. Facts Age 28 27 26 25 24 23 1
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80 1. Facts
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82 2. The gains from marriage for o
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84 2. The gains from marriage Q 2 y
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86 2. The gains from marriage this
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88 2. The gains from marriage as wh
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90 2. The gains from marriage ing a
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92 2. The gains from marriage absen
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94 2. The gains from marriage 2.5 C
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96 2. The gains from marriage 2.5.3
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98 2. The gains from marriage This
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100 2. The gains from marriage [14]
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102 2. The gains from marriage
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Pierre André Chiappori (Columbia) "Family Economics" - Cemmap

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