Replication data for: Bargaining over Babies: Theory, Evidence, and Policy Implications
Principal Investigator(s): View help for Principal Investigator(s) Matthias Doepke; Fabian Kindermann
Version: View help for Version V1
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data | 10/27/2021 10:02:AM | ||
LICENSE.txt | text/plain | 14.6 KB | 12/07/2019 02:38:AM |
Project Citation:
Doepke, Matthias, and Kindermann, Fabian. Replication data for: Bargaining over Babies: Theory, Evidence, and Policy Implications. Nashville, TN: American Economic Association [publisher], 2019. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-12-07. https://doi.org/10.3886/E116184V1
Project Description
Summary:
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It takes a woman and a man to make a baby. This fact suggests that for a birth to take place, the parents should first agree on wanting a child. Using newly available data on fertility preferences and outcomes, we show that indeed, babies are likely to arrive only if both parents desire one. In addition, there are many couples who disagree on having babies, and in low-fertility countries women are much more likely than men to be opposed to having another child. We account for this evidence with a quantitative model of household bargaining in which the distribution of the burden of child care between mothers and fathers is a key determinant of fertility. The model implies that fertility is highly responsive to targeted policies that lower the child care burden specifically for mothers.
Scope of Project
Subject Terms:
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simulation model;
observational data
JEL Classification:
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C78 Bargaining Theory; Matching Theory
D13 Household Production and Intrahousehold Allocation
J13 Fertility; Family Planning; Child Care; Children; Youth
J16 Economics of Gender; Non-labor Discrimination
C78 Bargaining Theory; Matching Theory
D13 Household Production and Intrahousehold Allocation
J13 Fertility; Family Planning; Child Care; Children; Youth
J16 Economics of Gender; Non-labor Discrimination
Geographic Coverage:
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Russian Federation,
Romania,
Hungary,
Japan,
Belarus,
Netherlands,
Sweden,
Austria,
Czech Republic,
Belgium,
Norway,
Poland,
Italy,
Georgia,
Australia,
France,
Bulgaria,
Lithuania,
Germany,
Estonia
Time Period(s):
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2004 – 2011
Universe:
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Individuals aged 18-79 from 19 countries
Data Type(s):
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survey data;
observational data
Methodology
Data Source:
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Data from the GGS Waves 1, and 2 (DOIs: 10.17026/dans-z5z-xn8g, 10.17026/dans-xm6-a262), see Gauthier, A. H. et al. (2018) or visit the GGP website (https://www.ggp-i.org/) for methodological details.
Unit(s) of Observation:
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Individual,
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