scispace - formally typeset
S

Stacy Dickert-Conlin

Researcher at Michigan State University

Publications -  42
Citations -  1305

Stacy Dickert-Conlin is an academic researcher from Michigan State University. The author has contributed to research in topics: Earned income tax credit & Remarriage. The author has an hindex of 18, co-authored 42 publications receiving 1217 citations. Previous affiliations of Stacy Dickert-Conlin include Syracuse University.

Papers
More filters
Journal ArticleDOI

Taxes and the Timing of Births

TL;DR: This article found that the probability that a child is born in the last week of December, rather than the first week of January, is positively correlated with tax benefits, and they estimate that increasing the tax benefit of having a child by $500 raises the probability of having the child in the next week by 26.9 percent.
Journal ArticleDOI

The earned income tax credit and fertility

TL;DR: The authors used birth certificate data spanning the period 1990 to 1999 to test whether expansions in the earned income tax credit influenced birthrate among targeted families, finding that expanding the credit produced only extremely small reductions in higher order fertility among white women.
Journal ArticleDOI

EITC and Marriage

TL;DR: This article used data from the Survey of Income and Program Participation (SIPP) and controlling for individual fixed effects and the EITC's effect on marriage. But they did not consider the effect of individual fixed factors.
Journal ArticleDOI

Did Expanding the EITC Promote Motherhood

TL;DR: The authors examined the relationship between the EITC and fertility in the United States and pointed out that the tax system can be used as a tool for encouraging fertility, which is a common assumption in the literature on fertility.
Journal ArticleDOI

Policy Watch The Marriage Penalty

TL;DR: In this paper, the authors discuss the marriage penalty and the relationship between it and tax and transfer programs, with a particular focus on tax and tax transfer programs (e.g., Social Security and Medicare).