Program design and social insurance in dynamic models of labor supply, saving and human capital formation
| Project/Area Number |
15K20966
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Economic policy
Public finance/Public economy
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| Research Institution | The University of Tokyo |
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Principal Investigator |
Griffen Andrew 東京大学, 大学院経済学研究科(経済学部), 講師 (10645055)
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2017: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2016: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2015: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
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| Keywords | Child care / Child development / Labor supply / Program evaluation / child care / child development / model validation / structural estimation / Labor / Pensions / Social insurance / labor supply / social insurance |
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| Outline of Final Research Achievements |
For this project I developed and estimated a dynamic, discrete choice model of maternal labor supply and child care use jointly with a cognitive achievement production function. The estimated model was used to simulate counterfactual child care policies with a goal to inform policymakers about prospective policies. I explored the ability of nonexperimental estimators to replicate experimental impact estimates of Head Start. The results suggested that the estimators were more sensitive to the domain of the outcome variable rather than the choice of estimator. In general, however, estimators that addressed unobserved heterogeneity performed better and the results were less sensitive to regression vs. propensity score estimators.
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Report
(4 results)
Research Products
(13 results)
