A Simple Approximation for Evaluating External Validity Bias
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[1] Robert B. Olsen,et al. On the “Where” of Social Experiments: Selecting More Representative Samples to Inform Policy , 2016 .
[2] Junko Onishi,et al. Should Aid Reward Performance? Evidence from a Field Experiment on Health and Education in Indonesia , 2012, American economic journal. Applied economics.
[3] J. Pearl,et al. Causal inference in statistics , 2016 .
[4] Roland R. Ramsahai,et al. From sample average treatment effect to population average treatment effect on the treated: combining experimental with observational studies to estimate population treatment effects , 2015 .
[5] V. J. Hotz,et al. Predicting the efficacy of future training programs using past experiences at other locations , 2005 .
[6] Amanda E. Kowalski. Doing More When You&Apos;Re Running Late: Applying Marginal Treatment Effect Methods to Examine Treatment Effect Heterogeneity in Experiments , 2016 .
[7] Catherine P. Bradshaw,et al. The use of propensity scores to assess the generalizability of results from randomized trials , 2011, Journal of the Royal Statistical Society. Series A,.
[8] Joshua D. Angrist,et al. Wanna Get Away? Regression Discontinuity Estimation of Exam School Effects Away From the Cutoff , 2015 .
[9] Rachel Glennerster,et al. The Generalizability Puzzle , 2017 .
[10] A Note on Additive Separability and Latent Index Models of Binary Choice: Representation Results , 2006 .
[11] J. Heckman. Sample selection bias as a specification error , 1979 .
[12] G. Borjas. Self-Selection and the Earnings of Immigrants , 1987, Foundations of Migration Economics.
[13] K. Imai,et al. Covariate balancing propensity score , 2014 .
[14] J. Angrist,et al. Identification and Estimation of Local Average Treatment Effects , 1995 .
[15] Nicholas Bloom,et al. Does Working from Home Work? Evidence from a Chinese Experiment , 2013 .
[16] S. Cole,et al. Correction: Sensitivity analysis for an unobserved moderator in RCT-to-target-population generalization of treatment effects , 2016, The Annals of Applied Statistics.
[17] D. Rubin,et al. Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction , 2016 .
[18] Costas Meghir,et al. Subsidizing Vocational Training for Disadvantaged Youth in Colombia: Evidence from a Randomized Trial , 2011 .
[19] S. Cole,et al. Generalizing evidence from randomized clinical trials to target populations: The ACTG 320 trial. , 2010, American journal of epidemiology.
[20] E. Oster,et al. Unobservable Selection and Coefficient Stability: Theory and Validation , 2013 .
[21] Patrick M. Kline,et al. Evaluating Public Programs with Close Substitutes: The Case of Head Start , 2015 .
[22] Jonathan Robinson,et al. Why Don&Apos;T the Poor Save More? Evidence from Health Savings Experiments , 2011, The American economic review.
[23] K. Muralidharan,et al. Disrupting Education? Experimental Evidence on Technology-Aided Instruction in India , 2016, American Economic Review.
[24] E. C. Fieller. SOME PROBLEMS IN INTERVAL ESTIMATION , 1954 .
[25] Eric T. Chyn. Moved to Opportunity: The Long-Run Effect of Public Housing Demolition on Labor Market Outcomes of Children , 2016 .
[26] E. Stuart,et al. On the “Where” of Social Experiments: The Nature and Extent of the Generalizability Problem , 2016 .
[27] Guido W. Imbens,et al. Imposing Moment Restrictions from Auxiliary Data by Weighting , 1996, Review of Economics and Statistics.
[28] Patrick M. Kline. Oaxaca-Blinder as a Reweighting Estimator , 2011 .
[29] Rachael Meager,et al. Understanding the Average Impact of Microcredit Expansions: A Bayesian Hierarchical Analysis of Seven Randomized Experiments , 2019, American Economic Journal: Applied Economics.
[30] Azeem M. Shaikh,et al. Inference Under Covariate-Adaptive Randomization , 2015, Journal of the American Statistical Association.
[31] Ana Santiago,et al. Disrupting Education ? Experimental Evidence on Technology-Aided Instruction in India , 2019 .
[32] Guido W. Imbens,et al. External Validity in Fuzzy Regression Discontinuity Designs , 2014, Journal of Business & Economic Statistics.
[33] Robert T. Jensen,et al. Do Labor Market Opportunities Affect Young Women's Work and Family Decisions? Experimental Evidence from India , 2012 .
[34] James J. Heckman,et al. Econometric Evaluation of Social Programs, Part I: Causal Models, Structural Models and Econometric Policy Evaluation , 2007 .
[35] Rajeev Dehejia,et al. From Local to Global: External Validity in a Fertility Natural Experiment , 2015, Journal of Business & Economic Statistics.
[36] Magne Mogstad,et al. Beyond LATE with a discrete instrument. Heterogeneity in the quantity-quality interaction of children , 2012 .
[37] Miikka A. T. Rokkanen,et al. Exam Schools, Ability, and the Effects of Affirmative Action: Latent Factor Extrapolation in the Regression Discontinuity Design , 2015 .
[38] D. Rubin,et al. The central role of the propensity score in observational studies for causal effects , 1983 .
[39] T. W. Anderson,et al. Estimation of the Parameters of a Single Equation in a Complete System of Stochastic Equations , 1949 .
[40] James J Heckman,et al. Understanding Instrumental Variables in Models with Essential Heterogeneity , 2006, The Review of Economics and Statistics.
[41] J. Hahn. On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects , 1998 .
[42] Sendhil Mullainathan,et al. Site Selection Bias in Program Evaluation , 2012 .
[43] Bo E. Honoré,et al. The Empirical Content of the Roy Model , 1990 .
[44] Christopher R. Taber,et al. Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools , 2000, Journal of Political Economy.
[45] G. Imbens,et al. Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score , 2000 .
[46] Judd B. Kessler,et al. The Effects of Youth Employment: Evidence from New York City Lotteries , 2016 .
[47] Stephen H Bell,et al. External Validity in Policy Evaluations that Choose Sites Purposively. , 2013, Journal of policy analysis and management : [the journal of the Association for Public Policy Analysis and Management].
[48] Robert B. Olsen,et al. Estimates of External Validity Bias When Impact Evaluations Select Sites Nonrandomly , 2016 .
[49] Andres Santos,et al. Using Instrumental Variables for Inference About Policy Relevant Treatment Effects , 2017 .
[50] D. Horvitz,et al. A Generalization of Sampling Without Replacement from a Finite Universe , 1952 .