Ankita Patnaik

Ankita Patnaik

  • Program evaluation
  • Quasi-experimental and experimental research design
  • Monitoring and technical assistance
  • Survey instrument design
Focus Areas
  • Disability
  • Employment and Income Support
  • Statistics and Measurements
  • Employment
  • Unemployment Insurance
  • Human Services
About Ankita

Ankita Patnaik’s work focuses on family support and employment programs and policies, particularly those targeted to low-income families.

Since joining Mathematica in 2015, Patnaik has worked on a range of projects in areas such as labor, disability, and family support. Currently, she plays an integral role in the Promoting Readiness of Minors in Supplemental Security Income Evaluation (PROMISE), planning and executing the impact analysis of six programs. These programs are designed to improve educational and employment outcomes for young recipients of Supplemental Security Income and their families by providing support and improving service coordination between state and local agencies. Patnaik played a key role in developing an analysis plan, selecting outcome measures, constructing covariates and outcome measures, developing analytic models, and reporting findings in the interim report. She also leads the preparation and examination of survey data for these analyses. In the past, Patnaik designed and led a quantitative study of the self-employment assistance programs offered as part of the unemployment insurance program in some states.

Besides working on rigorous impact evaluations, Patnaik has served as the monitoring and technical assistance liaison for various grantees, and she has helped design quasi-experimental studies in situations where a random assignment study was not feasible. She is a member of the Association for Public Policy Analysis and Management and was a sworn-in researcher for Statistics Canada from 2012 to 2016. She has also been published in the Journal of Labor Economics.

Patnaik holds a Ph.D. in economics from Cornell University with a specialization in labor economics.