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Earned Income Tax Credit Parameters, 1975-2000 (Dollar amounts unadjusted for inflation) 

Earned Income Tax Credit Parameters, 1975-2000 (Dollar amounts unadjusted for inflation) 

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The Earned Income Tax Credit (EITC) is the largest anti-poverty program in the U.S. In 1993, the EITC benefit levels were changed significantly based on the number of children in the family such that families with two or more children experienced an exogenous expansion in their incomes. Using data from the National Longitudinal Survey of Youth 1979...

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... difference was first created as part of the Omnibus Reconciliation Act of 1990, but on a much smaller scale. Because of this policy change, the maximum benefits for families with two or more children more than doubled and for the first time a meaningful separation was created for eligible families based on the number of children as reported in Table 1. 5 The credit has three parameters that policymakers can manipulate: the credit rate (column 1), the maximum amount of the credit (column 2) and the phase out rate/range (columns 3, 4 and 5). ...
Context 2
... of this policy change, the maximum benefits for families with two or more children more than doubled and for the first time a meaningful separation was created for eligible families based on the number of children as reported in Table 1. 5 The credit has three parameters that policymakers can manipulate: the credit rate (column 1), the maximum amount of the credit (column 2) and the phase out rate/range (columns 3, 4 and 5). As is clear from Table 1, back in 1991, the difference in maximum benefits between families with one child and families with two or more children was less than $40. In 1996, however, this difference jumped to over $1,400. ...
Context 3
... It could also instructive to look at some raw numbers describing smoking behavior before and after the EITC expansion for the control and treatment groups by race. Appendix Table 1, providing columns show the DD+FE results using the linear probability model. 14 For all the columns in Table 5, we use the binary dependent variable which equals 1 if the mother smokes at the time of interview and 0 if not. ...
Context 4
... Table 1, providing columns show the DD+FE results using the linear probability model. 14 For all the columns in Table 5, we use the binary dependent variable which equals 1 if the mother smokes at the time of interview and 0 if not. The shared set of covariates includes age, education, Hispanic or not, currently married or not, living in an urban area, residential state, family income, a dummy variable equal to one if family income missing 15 , state level cigarette taxes, AFDC maximum benefit level, and unemployment rate, and number of children in the household. ...
Context 5
... therefore estimate our model excluding all the mothers who changed their marital status between 1992 and 1998. Results are robust and shown in Table 10. Some of the other robustness checks we conduct are: excluding state dummy variables, excluding variables controlling for state-level differences in labor market conditions, welfare reforms, and smoking policies, and changing the functional forms for some of the independent variables such as age, education, and marital status. ...

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... Although not unequivocal Hamad & Rehkopf, 2015;Pega et al., 2013;Wehby et al., 2020), research suggests that smoking, at least, may decrease with cash transfers (Averett & Wang, 2012;Cowan & Tefft, 2012;Fu & Liu, 2019;Hoynes et al., 2015;Rehkopf et al., 2014;Strully et al., 2010). And fourth, poverty produces elevated levels of stress and reactivity to stress (Aneshensel, 1992;Kessler & Cleary, 1980;Pearlin, 1989;Thoits, 2010;Turner et al., 1995). ...
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... 16 We do not find an association between maternal smoking and EITC payment size, although prior work finds that payments are associated with reduced maternal smoking. 10,28,29 These differences may be due to differences in measurement of the exposure: one of these prior studies focused on the Scale is a measure of locus of control, Pearlin Scale is a measure of perceived control, Rosenberg Scale is a measure of self-esteem, AFQT is a measure of intelligence, and SF-12 is a measure of physical and mental health. ...
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... among low-educated mothers. Very recently, researchers have begun studying whether the EITC affects smoking behavior among low-income adults (Strully, Rehkopf, and Xuan, 2010;Averett and Wang, 2011). We discuss specific differences in our data and methodology in Section 2, but we mention here that our study is the first to use both national and state-level variation in EITC benefits combined with a large, nationally representative dataset with detailed annual smoking information to identify the effect of the EITC on the prevalence of female smoking. ...
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