scholarly journals Using Bayesian hierarchical analysis to combine evidence across outcomes and trials

2021 ◽  
Vol 17 (S9) ◽  
Author(s):  
Samuel P Dickson ◽  
Jessie Nicodemus‐Johnson ◽  
Newman Knowlton ◽  
Tess Syndergaard ◽  
Jacob Neff ◽  
...  
2019 ◽  
Vol 11 (1) ◽  
pp. 57-91 ◽  
Author(s):  
Rachael Meager

Despite evidence from multiple randomized evaluations of microcredit, questions about external validity have impeded consensus on the results. I jointly estimate the average effect and the heterogeneity in effects across seven studies using Bayesian hierarchical models. I  find the impact on household business and consumption variables is unlikely to be transformative and may be negligible. I find reasonable external validity: true heterogeneity in effects is moderate, and approximately 60 percent of observed heterogeneity is sampling variation. Households with previous business experience have larger but more heterogeneous effects. Economic features of microcredit interventions predict variation in effects better than studies’ evaluation protocols. (JEL D14, G21, I38, O12, O16, P34, P36)


2010 ◽  
Vol 15 (3) ◽  
pp. 290-307 ◽  
Author(s):  
Taeryon Choi ◽  
Mark J. Schervish ◽  
Ketra A. Schmitt ◽  
Mitchell J. Small

2012 ◽  
Vol 3 ◽  
Author(s):  
Oliver Dyjas ◽  
Raoul P. P. P. Grasman ◽  
Ruud Wetzels ◽  
Han L. J. van der Maas ◽  
Eric-Jan Wagenmakers

2017 ◽  
Author(s):  
Rachael Meager

This paper develops methods to aggregate evidence on distributional treatment effects from multiple studies conducted in different settings, and applies them to the microcredit literature. Several randomized trials of expanding access to microcredit found substantial effects on the tails of household outcome distributions, but the extent to which these findings generalize to future settings was not known. Aggregating the evidence on sets of quantile effects poses additional challenges relative to average effects because distributional effects must imply monotonic quantiles and pass information across quantiles. Using a Bayesian hierarchical framework, I develop new models to aggregate distributional effects and assess their generalizability. For continuous outcome variables, the methodological challenges are addressed by applying transforms to the unknown parameters. For partially discrete variables such as business profits, I use contextual economic knowledge to build tailored parametric aggregation models. I find generalizable evidence that microcredit has negligible impact on the distribution of various household outcomes below the 75th percentile, but above this point there is no generalizable prediction.


2008 ◽  
Vol 42 (15) ◽  
pp. 5607-5614 ◽  
Author(s):  
Thomas J. Santner ◽  
Peter F. Craigmile ◽  
Catherine A. Calder ◽  
Rajib Paul

2003 ◽  
Vol 36 (15) ◽  
pp. 421-425
Author(s):  
O.F. Agbaje ◽  
S.D. Luzio ◽  
A.I.S. Albarrak ◽  
D.J. Lunn ◽  
D.R. Owens ◽  
...  

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