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Rachael Meager
Associate Professor, University of New South Wales
Rachael Meager is an Associate Professor at the University of New South Wales with research interests in development economics and econometrics.
She works on 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. Her recent work has focused on aggregating evidence on distributional treatment effects using sets of quantiles or parametric generating models within a Bayesian hierarchical framework. Her research in progress is focused on linking group-level distributional effects to individual heterogeneity with high-dimensional covariates, selection bias within and across literatures in development economics, and developing robustness metrics for empirical analysis.
Recent work by Rachael Meager
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Implementation matters: Measure it and account for it
Implementation metrics explain much of the difference in effectiveness for a set of education programmes across studies and settings, playing a key role in generalisability
Published 10.01.24
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Understanding the average effect of microcredit
Microcredit trials show only moderate variation in effects across different settings, suggesting that the average effects of these loans are small
Published 07.01.19