CPC’s Grant Development Program (GDP) provides new investigators with hands-on mentorship and administrative support to develop their research for external funding. This new initiative is co-directed by Kelly Musick and Chris Wildeman and made possible with support from the College of Human Ecology, the College of Arts and Sciences, the Institute for the Social Sciences, and the Office of Faculty Development and Diversity.
2017-18 GDP Fellows
Peter Enns (GOV), “Estimating State Crime Rates with the National Crime Victimization Survey”
This project uses the National Crime Victimization Survey to generate over-time estimates of state and urban crime rates based on crime victimization records. The resulting data will be ideally suited for evaluating the causes and consequences specific types of crime, including tests of whether various criminal justice policies effectively reduce criminal activity.
Patrick Ishizuka (CPC Rhodes Postdoctoral Fellow), “Elder Care, Employment, and Gender Inequality”
The project examines trends across birth cohorts in older men’s and women’s provision of care to elderly parents, focusing on the declining gender gap in who provides care. Using an instrumental variables approach based on changes in parent health needs, the project also assesses trends in the effects of caregiving on men’s and women’s employment.
Vida Maralani (SOC), “Breastfeeding and the Work-Family Balance in the United States”
Maralani’s project examines the relationship between breastfeeding duration and women’s labor force participation across the life course. She examines women’s detailed occupational characteristics and trajectories before and after birth to determine whether women change their work patterns in anticipation of breastfeeding or after they initiate breastfeeding. She further analyzes whether and how much the characteristics of their occupations and families inform their breastfeeding and work decisions.
Jordan Matsudaira (Columbia Teachers College), “The Effects of Employment Incentives and Cash Transfers on Parent and Child Outcomes: Evidence from the Long Run Effects of Welfare Reform Experiments”
Matsudaira extends evidence on welfare policies by examining the long-run impacts of a high impact set of randomized evaluations. He will use data from Census Bureau’s data linkage infrastructure to reanalyze a set of experiments involving adult and children welfare recipients from the mid-1900s.
Douglas Miller (PAM), “The Long Run Impacts of Head Start: Creating a New Funding Panel Dataset, and New Evidence on the Program’s Effectiveness in Promoting Equality of Opportunity”
Miller will construct the first ever county-year and state-year panel datasets of Head Start funding, covering the program’s beginning in 1965 until today. He will then use these datasets, along with institutional knowledge about the program’s introduction and later funding changes, to provide new evidence on the program’s long run impact on health, education, labor market and other demographic outcomes.
Nicolas R. Ziebarth (PAM), “US Sick Pay Mandates and Their Impact on Coverage Rates, Fringe Benefits, and the Spread of Diseases”
This project empirically evaluates the impact of sick pay mandates on coverage rates and the spread of diseases in the US. Ziebarth uses the restricted version of the National Compensation Survey and build a database on influenza activity to estimate the causal effect of nine city and four state-level mandates.