What Works for Whom? A Bayesian Approach to Channeling Big Data Streams for Policy Analysis

Mariel McKenzie Finucane, Ignacio Martinez and Scott Cody

Mathematica Policy Research Reports from Mathematica Policy Research

Abstract: In the coming years, public programs will continuously capture even more and richer data than they do now, including data from web-based tools used by participants in employment services, from tablet-based educational curricula, and from electronic health records for Medicaid beneficiaries, for example.

Keywords: Bayesian statistics; adaptive design; hierarchical models; heterogeneous treatment effects; randomized control trials; rapid-cycle evaluation (search for similar items in EconPapers)
Pages: 18
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Citations: View citations in EconPapers (1)

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