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220928 ||| eng |
| 020 |
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|a 9781513514536
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| 100 |
1 |
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|a Alonso, Cristian
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| 245 |
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|a Reducing and Redistributing Unpaid Work: Stronger Policies to Support Gender Equality
|c Cristian Alonso, Mariya Brussevich, Era Dabla-Norris, Yuko Kinoshita, Kalpana Kochhar
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| 260 |
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|a Washington, D.C.
|b International Monetary Fund
|c 2019
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| 300 |
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|a 35 pages
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| 651 |
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4 |
|a Norway
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| 653 |
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|a Social discrimination & equal treatment
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| 653 |
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|a Gender studies
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| 653 |
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|a Women
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| 653 |
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|a Gender diversity
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| 653 |
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|a Time Allocation and Labor Supply
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| 653 |
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|a Labour
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| 653 |
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|a Gender inequality
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| 653 |
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|a Economics of Gender
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| 653 |
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|a Non-labor Discrimination
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| 653 |
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|a Labor markets
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| 653 |
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|a Demand and Supply of Labor: General
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| 653 |
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|a Gender studies, gender groups
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| 653 |
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|a Labor
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| 653 |
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|a Women & girls
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| 653 |
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|a Labor Force and Employment, Size, and Structure
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| 653 |
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|a Sex discrimination
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| 653 |
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|a Labor Economics: General
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| 653 |
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|a Gender Studies
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| 653 |
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|a Labor market
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| 653 |
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|a Macroeconomics
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| 653 |
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|a Sex role
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| 653 |
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|a Women's Studies
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| 653 |
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|a Income economics
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| 653 |
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|a Labor economics
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| 653 |
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|a Gender
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| 700 |
1 |
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|a Brussevich, Mariya
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| 700 |
1 |
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|a Dabla-Norris, Era
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| 700 |
1 |
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|a Kinoshita, Yuko
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b IMF
|a International Monetary Fund
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| 490 |
0 |
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|a IMF Working Papers
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| 028 |
5 |
0 |
|a 10.5089/9781513514536.001
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| 856 |
4 |
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|u https://elibrary.imf.org/view/journals/001/2019/225/001.2019.issue-225-en.xml?cid=48688-com-dsp-marc
|x Verlag
|3 Volltext
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| 082 |
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|a 330
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| 520 |
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|a Unpaid work, such as caring for children, the elderly, and household chores represents a significant share of economic activity but is not counted as part of GDP. Women disproportionately shoulder the burden of unpaid work: on average, women do two more hours of unpaid work per day than men, with large differences across countries. While much unpaid care work is done entirely by choice, constraints imposed by cultural norms, labor market features or lack of public services, infrastructure, and family-friendly policies matter. This undermines female labor force participation and lowers economy-wide productivity. In this paper, we examine recent trends in unpaid work around the world using aggregate and individual-level data, explore potential drivers, and identify policies that can help reduce and redistribute unpaid work across genders. Conservative model-based estimates suggest that the gains from these policies could amount to up to 4 percent of GDP.
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