How to Examine External Validity within an Experiment
暂无分享,去创建一个
[1] J. Angrist. Treatment Effect Heterogeneity in Theory and Practice , 2003 .
[2] J. Heckman,et al. Policy-Relevant Treatment Effects , 2001 .
[4] James J. Heckman,et al. Econometric Evaluation of Social Programs, Part II: Using the Marginal Treatment Effect to Organize Alternative Econometric Estimators to Evaluate Social Programs, and to Forecast their Effects in New Environments , 2007 .
[5] A. Roy. Some thoughts on the distribution of earnings , 1951 .
[6] Amanda E. Kowalski. Behavior within a Clinical Trial and Implications for Mammography Guidelines , 2018, The Review of economic studies.
[7] Amanda E. Kowalski. Doing More When You&Apos;Re Running Late: Applying Marginal Treatment Effect Methods to Examine Treatment Effect Heterogeneity in Experiments , 2016 .
[8] A simple test for the ignorability of non-compliance in experiments , 2013 .
[9] J J Heckman,et al. Local instrumental variables and latent variable models for identifying and bounding treatment effects. , 1999, Proceedings of the National Academy of Sciences of the United States of America.
[10] Amanda E. Kowalski. Reconciling Seemingly Contradictory Results from the Oregon Health Insurance Experiment and the Massachusetts Health Reform , 2018, Review of Economics and Statistics.
[11] Robert A. Moffitt,et al. The Estimation of Wage Gains and Welfare Gains in Self-selection , 1987 .
[12] Dan A. Black,et al. Simple Tests for Selection Bias: Learning More from Instrumental Variables , 2015, SSRN Electronic Journal.
[13] D. Rubin,et al. Estimating Outcome Distributions for Compliers in Instrumental Variables Models , 1997 .
[14] J. Angrist,et al. Identification and Estimation of Local Average Treatment Effects , 1995 .
[15] Patrick M. Kline,et al. Evaluating Public Programs with Close Substitutes: The Case of Head Start , 2015 .
[16] Anders Björklund,et al. Estimation of Wage Gains and Welfare Gains from Self-Selection Models , 1983 .
[17] Alberto Abadie. Semiparametric instrumental variable estimation of treatment response models , 2003 .
[18] Erik Snowberg,et al. Selective Trials: A Principal-Agent Approach to Randomized Controlled Experiments , 2012 .
[19] W. Greene. Sample Selection Bias as a Specification Error: Comment , 1981 .
[20] C. Manski. Nonparametric Bounds on Treatment Effects , 1989 .
[21] J. Heckman. Sample selection bias as a specification error , 1979 .
[22] Patrick M. Kline,et al. On Heckits, Late, and Numerical Equivalence , 2017, Econometrica.
[23] J. Angrist,et al. Extrapolate-Ing: External Validity and Overidentification in the Late Framework , 2010 .
[24] G. Fischer,et al. Eliciting and Utilizing Willingness to Pay: Evidence from Field Trials in Northern Ghana , 2015, Journal of Political Economy.
[25] Amanda E. Kowalski. Extrapolation using Selection and Moral Hazard Heterogeneity from within the Oregon Health Insurance Experiment , 2018 .
[26] Edward Vytlacil,et al. Local Instrumental Variables , 2000 .
[27] T. Cornelissen,et al. Who Benefits from Universal Child Care? Estimating Marginal Returns to Early Child Care Attendance , 2018, Journal of Political Economy.
[28] A. Basu. Welfare Implications of Learning Through Solicitation Versus Diversification in Health Care , 2014, Journal of health economics.
[29] V. J. Hotz,et al. Predicting the efficacy of future training programs using past experiences at other locations , 2005 .
[30] L. Einav,et al. Estimating Welfare in Insurance Markets Using Variation in Prices , 2008, The quarterly journal of economics.
[31] Magne Mogstad,et al. Beyond LATE with a discrete instrument. Heterogeneity in the quantity-quality interaction of children , 2012 .
[32] Chen Meng. The Effect of Age at School Entry on Educational Attainment and Labor Market Outcomes: Evidence from China , 2017 .
[33] R. Olsen,et al. A Least Squares Correction for Selectivity Bias , 1980 .
[34] J. Heckman,et al. Making the Most out of Programme Evaluations and Social Experiments: Accounting for Heterogeneity in Programme Impacts , 1997 .
[35] E. Vytlacil. Independence, Monotonicity, and Latent Index Models: An Equivalence Result , 2002 .
[36] J. Angrist,et al. The Effect of Age at School Entry on Educational Attainment: An Application of Instrumental Variables with Moments from Two Samples , 1990 .
[37] Guido W. Imbens,et al. External Validity in Fuzzy Regression Discontinuity Designs , 2014, Journal of Business & Economic Statistics.
[38] Edward Vytlacil,et al. Estimating Marginal Returns to Education , 2010, The American economic review.
[39] Dylan S Small,et al. Using an instrumental variable to test for unmeasured confounding , 2014, Statistics in medicine.
[40] Joshua D. Angrist,et al. Lifetime Earnings and the Vietnam Era Draft Lottery: Evidence from Social Security Administrative Records , 1990 .
[41] Andrés Santos,et al. Using Instrumental Variables for Inference About Policy Relevant Treatment Effects , 2017 .
[42] A. Wald. The Fitting of Straight Lines if Both Variables are Subject to Error , 1940 .
[43] T. Mroz,et al. The Sensitivity of an Empirical Model of Married Women's Hours of Work to Economic and Statistical Assumptions , 1987 .
[44] Magne Mogstad,et al. Beyond LATE with a Discrete Instrument , 2017, Journal of Political Economy.
[45] Jesse M. Shapiro,et al. Can Higher Prices Stimulate Product Use? Evidence from a Field Experiment in Zambia , 2010 .
[46] S. Lee,et al. Estimating distributions of potential outcomes using local instrumental variables with an application to changes in college enrollment and wage inequality , 2009 .
[47] Joshua D. Angrist,et al. Identification of Causal Effects Using Instrumental Variables , 1993 .
[48] J. Hausman. Specification tests in econometrics , 1978 .
[49] James J. Heckman,et al. Substitution and Dropout Bias in Social Experiments: A Study of an Influential Social Experiment , 2000 .
[50] Alberto Abadie. Bootstrap Tests for Distributional Treatment Effects in Instrumental Variable Models , 2002 .
[51] Andres Santos,et al. Using Instrumental Variables for Inference About Policy Relevant Treatment Effects , 2017 .
[52] J. Heckman. The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models , 1976 .