Understanding the Average Impact of Microcredit Expansions: A Bayesian Hierarchical Analysis of Seven Randomized Experiments
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[1] J. Griffin,et al. Some Priors for Sparse Regression Modelling , 2013 .
[2] L. Fahrmeir,et al. Bayesian Regularisation in Structured Additive Regression Models for Survival Data , 2008 .
[3] Jonathan Zinman,et al. Microcredit Impacts: Evidence from a Randomized Microcredit Program Placement Experiment by Compartamos Banco , 2014 .
[4] David B. Dunson,et al. Bayesian Data Analysis , 2010 .
[5] Joshua D. Angrist,et al. Estimating the Labor Market Impact of Voluntary Military Service Using Social Security Data on Military Applicants , 1998 .
[6] Guido Imbens,et al. Site Selection Bias in Program Evaluation , 2014 .
[7] C. McCulloch,et al. Misspecifying the Shape of a Random Effects Distribution: Why Getting It Wrong May Not Matter , 2011, 1201.1980.
[8] Dean Karlan,et al. Six Randomized Evaluations of Microcredit: Introduction and Further Steps † , 2015 .
[9] Bruce Wydick. Microfinance on the margin: why recent impact studies may understate average treatment effects , 2016 .
[10] Amanda E. Kowalski. Doing More When You&Apos;Re Running Late: Applying Marginal Treatment Effect Methods to Examine Treatment Effect Heterogeneity in Experiments , 2016 .
[11] D. Rubin,et al. Inference from Iterative Simulation Using Multiple Sequences , 1992 .
[12] Rajeev Dehejia,et al. Was There a Riverside Miracle? A Hierarchical Framework for Evaluating Programs With Grouped Data , 2003 .
[13] G. Casella,et al. The Bayesian Lasso , 2008 .
[14] Dean Karlan,et al. A multifaceted program causes lasting progress for the very poor: Evidence from six countries , 2015, Science.
[15] Sophia Rabe-Hesketh,et al. A Nondegenerate Penalized Likelihood Estimator for Variance Parameters in Multilevel Models , 2013, Psychometrika.
[16] M. Ahmad. Distant voices: the views of the field workers of NGOs in Bangladesh on microcredit , 2003 .
[17] Rachael Meager. Understanding the Average Impact of Microcredit Expansions : A Bayesian Hierarchical Analysis of 7 Randomized Experiments WORKING PAPER , 2016 .
[18] Lucy H. Jones,et al. Scoring for Impact Evaluation Microcredit in Theory and Practice : Using Randomized Credit , 2011 .
[19] Guido W. Imbens,et al. External Validity in Fuzzy Regression Discontinuity Designs , 2014, Journal of Business & Economic Statistics.
[20] J. Angrist,et al. Extrapolate-Ing: External Validity and Overidentification in the Late Framework , 2010 .
[21] A. Banerjee,et al. The Miracle of Microfinance? Evidence from a Randomized Evaluation , 2013 .
[22] A. Banerjee,et al. Microcredit Under the Microscope: What Have We Learned in the Past Two Decades, and What Do We Need to Know? , 2013 .
[23] M. Burke,et al. Climate and Conflict , 2014 .
[24] Rachael Meager. Aggregating Distributional Treatment Effects: A Bayesian Hierarchical Analysis of the Microcredit Literature , 2017, American Economic Review.
[25] Andrew Gelman,et al. The Failure of Null Hypothesis Significance Testing When Studying Incremental Changes, and What to Do About It , 2018, Personality & social psychology bulletin.
[26] A. V. D. Vaart,et al. Asymptotic Statistics: Frontmatter , 1998 .
[27] B. Efron,et al. Data Analysis Using Stein's Estimator and its Generalizations , 1975 .
[28] Dean S. Karlan,et al. Six Randomized Evaluations of Microcredit : Introduction and Further Steps , 2015 .
[29] Andrew Gelman,et al. The No-U-turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo , 2011, J. Mach. Learn. Res..
[30] Isaiah Andrews,et al. Identification of and Correction for Publication Bias , 2017, American Economic Review.
[31] Eric R. Ziegel,et al. The Elements of Statistical Learning , 2003, Technometrics.
[32] D. Rubin. Estimation in Parallel Randomized Experiments , 1981 .
[33] G. David Roodman. Due Diligence: An Impertinent Inquiry into Microfinance , 2011 .
[34] Orazio Attanasio,et al. The Impacts of Microfinance: Evidence from Joint-Liability Lending in Mongolia , 2015 .
[35] Lant Pritchett,et al. Learning from Experiments When Context Matters , 2015 .
[36] P. Diaconis. Finite forms of de Finetti's theorem on exchangeability , 1977, Synthese.
[37] Sophia Rabe-Hesketh,et al. Weakly Informative Prior for Point Estimation of Covariance Matrices in Hierarchical Models , 2015 .
[38] James G. Scott,et al. The horseshoe estimator for sparse signals , 2010 .
[39] Cedric E. Ginestet. ggplot2: Elegant Graphics for Data Analysis , 2011 .
[40] Erica Field,et al. Does the Classic Microfinance Model Discourage Entrepreneurship Among the Poor? Experimental Evidence from India † , 2013 .
[41] M. Betancourt,et al. Hamiltonian Monte Carlo for Hierarchical Models , 2013, 1312.0906.
[42] James G. MacKinnon,et al. Wild Bootstrap Inference for Wildly Different Cluster Sizes , 2017 .
[43] L. Hedges,et al. Vote-counting methods in research synthesis. , 1980 .
[44] Andrew Gelman,et al. Bayesian Measures of Explained Variance and Pooling in Multilevel (Hierarchical) Models , 2006, Technometrics.
[45] Esther Duflo,et al. Estimating the Impact of Microcredit on Those Who Take it Up: Evidence from a Randomized Experiment in Morocco , 2014 .
[46] Andrew Gelman,et al. Data Analysis Using Regression and Multilevel/Hierarchical Models , 2006 .
[47] A. Gelman. Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper) , 2004 .
[48] Alessandro Tarozzi,et al. The Impacts of Microcredit : Evidence from Ethiopia , 2014 .
[49] Rajeev Dehejia,et al. From Local to Global: External Validity in a Fertility Natural Experiment , 2015, Journal of Business & Economic Statistics.
[50] H J Eysenck,et al. Systematic Reviews: Meta-analysis and its problems , 1994, BMJ.
[51] Joseph P. Kaboski,et al. A Structural Evaluation of a Large-Scale Quasi-Experimental Microfinance Initiative , 2008, Econometrica : journal of the Econometric Society.