Rachael Meager

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I am an Assistant Professor in the Economics Department at the London School of Economics and Political Science with research interests in development economics and econometrics. I do applied Bayesian modelling of treatment effect heterogeneity at multiple levels within data sets and literatures, with the goal of measuring generalisability and quantifying uncertainty around our knowledge base in development economics and economics more broadly.

My papers are below.

My CV is here (but less frequently updated than this website).

My code and data are here.

Any announcements are here.

CS/ML Conference Publications

"Fast robustness quantification with variational Bayes" with Ryan Giordano, Tamara Broderick, Jonathan Huggins and Michael Jordan, 2016 ICML Workshop on #Data4Good: Machine Learning in Social Good Applications, New York, NY

Working Papers

"Aggregating Distributional Treatment Effects: A Bayesian Hierarchical Analysis of the Microcredit Literature" (Revise and Resubmit at the AER)

Online Appendix for Aggregating Distributional Treatment Effects

Vitamin A Supplements and Child Mortality: Resolving a Controversy in Meta-analysis (Paper completed but embargoed, draft available by email)

Selected Work In Progress

"Automatic Finite-Sample Robustness Techniques" with Ryan Giordano and Tamara Broderick

"A Multifaceted Approach to Poverty Alleviation in Six Countries: A Bayesian Hierarchical Analysis of the Graduation Program" with Andrew Gelman, Dean Karlan, Chris Udry and Witold Wiecek

"Combining Experimental and Observational Studies in Meta-Analysis: Leveraging Experimental Structures to Eliminate Selection Bias" with Michael Gechter

"Data Transforms Are Models" with Edward Jee