TY  - RPRT
        AU  - Ganong, Peter
AU  - Garg, Avik
AU  - Kasy, Maximilian
        TI  - Literature Review and Evidence Aggregation: A Toolkit for Applied Micro
        PY  - 2026/Jun/
        PB  - Institute of Labor Economics (IZA)
        CY  - Bonn
        T2  - IZA Discussion Paper
        IS  - 18758
        UR  - https://www.iza.org/publications/dp18758
        AB  - Consider an analyst interested in predicting the size of an effect. She has identified a set of prior published studies of similar effects. 
We provide a toolkit for (i) summarizing the prior literature, (ii) making predictions of effects in new contexts, and (iii) correcting for the bias from selectivity in the prior literature. We illustrate these methods with empirical examples from labor, public, behavioral, environmental, and development economics. Some of the tools are relevant even when only three prior studies are available. We show how it is possible to use covariates to transparently make predictions for a new context by reweighting prior estimates. The mean effect - after correcting for selectivity - is between 12% and 21% of the simple mean in our empirical examples. We conclude with a cookbook for practitioners producing meta-analyses.
        KW  - meta-study
KW  - empirical bayes
KW  - publication bias
KW  - literature review
        ER  -