CREAT: Census Research Exploration and Analysis Tool

Kids to School and Moms to Work: New York City's Universal Pre-K Expansion and Mother's Employment

September 2025

Written by: Laxman Timilsina

Working Paper Number:

CES-25-62

Abstract

Using the restricted data from American Community Survey from 2011 to 2017, this paper examines the impact of New York City's (NYC) expansion of universal pre-kindergarten (UPK) on labor force participation of mothers with the youngest child of 4 years of age. Starting in Fall of 2014, any child who is 4 years old and residing in NYC for the past year is eligible for UPK for the academic year, for example all children born in 2010 would qualify for the academic year 2014-15. It uses a triple-difference approach - first compare mothers in NYC with the youngest child of 4-year-olds (treated mothers) to mothers with the youngest child of 5 and 6-year-olds (control mothers) before and after the program. Next, it compares this difference with mothers living in adjacent counties in the New York Metropolitan Area (NMA) in New York to NYC. I find that the program increased mothers' labor force participation by 5 percentage points (a 7.5 percent impact) in NYC. The results are robust to various robustness checks like comparing with mothers living in all of NMA and mothers in Philadelphia.

Document Tags and Keywords

Keywords Keywords are automatically generated using KeyBERT, a powerful and innovative keyword extraction tool that utilizes BERT embeddings to ensure high-quality and contextually relevant keywords.

By analyzing the content of working papers, KeyBERT identifies terms and phrases that capture the essence of the text, highlighting the most significant topics and trends. This approach not only enhances searchability but provides connections that go beyond potentially domain-specific author-defined keywords.
:
labor, disadvantaged, enrollment, parent, family, parental, eligible, enrolled, maternal, child, mother, preschool, childcare

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The model is able to label words and phrases by part-of-speech, including "organizations." By filtering for frequent words and phrases labeled as "organizations", papers are identified to contain references to specific institutions, datasets, and other organizations.
:
Organization for Economic Cooperation and Development, Department of Economics, Department of Education, Social Security, Department of Labor, American Community Survey, Special Sworn Status, Census Bureau Disclosure Review Board, Integrated Public Use Microdata Series, Federal Statistical Research Data Center

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