Essays on Causal Inference for Public Policy
Contributors: Imbens, Guido; Khwaja, Asim; Abadie, Alberto; Jorgenson, Dale
Published: 2012
Language: eng
Description: Effective policymaking requires understanding the causal effects of competing proposals. Relevant causal quantities include proposals' expected effect on different groups of recipients, the impact of policies over time, the potential trade-offs between competing objectives, and, ultimately, the optimal policy. This dissertation studies causal inference for public policy, with an emphasis on applications in economic development and education.
Notes: Keywords: causal inference, economics, education, program evaluation.

Thesis Ph.D. Harvard University 2012