Using Differences in Knowledge Across Neighborhoods to Uncover the Impacts of the EITC on Earnings

被引:215
作者
Chetty, Raj [1 ,2 ]
Friedman, John N. [2 ,3 ]
Saez, Emmanuel [2 ,4 ]
机构
[1] Harvard Univ, Dept Econ, Littauer Ctr, Cambridge, MA 02138 USA
[2] Natl Bur Econ Res, Cambridge, MA 02138 USA
[3] Harvard Univ, Kennedy Sch, Cambridge, MA 02138 USA
[4] Univ Calif Berkeley, Berkeley, CA 94720 USA
基金
美国国家科学基金会;
关键词
INCOME-TAX CREDIT; OPTIMIZATION FRICTIONS; LABOR; ELASTICITIES; WELFARE; MICRO;
D O I
10.1257/aer.103.7.2683
中图分类号
F [经济];
学科分类号
02 ;
摘要
We estimate the impacts of the Earned Income Tax Credit on labor supply using local variation in knowledge about the EITC schedule. We proxy for EITC knowledge in a Zip code with the fraction of individuals who manipulate reported self-employment income to maximize their EITC refund. This measure varies significantly across areas. We exploit changes in EITC eligibility at the birth of a child to estimate labor supply effects. Individuals in high-knowledge areas change wage earnings sharply to obtain larger EITC refunds relative to those in low-knowledge areas. These responses come primarily from intensive-margin earnings increases in the phase-in region.
引用
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页码:2683 / 2721
页数:39
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