Testing Attrition Bias in Field Experiments

References

1. 1. Abadie, Alberto,
   2. Matthew M. Chingos, and
   3. Martin R. West

   . 2018. “Endogenous Stratification in Randomized Experiments.” Review of Economics and Statistics, 100(4): 567–580.

   OpenUrl
2. 1. Ahn, Hyungtaik, and
   2. James L. Powell

   . 1993. “Semiparametric Estimation of Censored Selection Models with a Nonparametric Selection Mechanism.” Journal of Econometrics, 58(1): 3–29.

   OpenUrlCrossRefWeb of Science
3. 1. Altman, Douglas G.

   1985. “Comparability of Randomised Groups.” Journal of the Royal Statistical Society: Series D (The Statistician), 34(1): 125–136.

   OpenUrl
4. 1. Altonji, Joseph, and
   2. Rosa Matzkin

   . 2005. “Cross-section and Panel Data Estimators for Non-separable Models with Endogenous Regressors.” Econometrica, 73(3): 1053–1102.

   OpenUrlCrossRefWeb of Science
5. 1. Anderson, Michael L, and
   2. Jeremy Magruder

   . 2022. “Highly Powered Analysis Plans.” National Bureau of Economic Research.
6. 1. Andrews, Isaiah, and
   2. Emily Oster

   . 2019. “A simple approximation for evaluating external validity bias.” Economics Letters, 178: 58 – 62.

   OpenUrl
7. 1. Angrist, Joshua D.,
   2. Guido W. Imbens, and
   3. Donald B. Rubin

   . 1996. “Identification of Causal Effects Using Instrumental Variables.” Journal of the American Statistical Association, 91(434): 444–455.

   OpenUrlCrossRefWeb of Science
8. 1. Athey, S., and
   2. G.W. Imbens

   . 2017. “Chapter 3 - The Econometrics of Randomized Experiments.” In Handbook of Field Experiments. Vol. 1 of Handbook of Economic Field Experiments, , ed. Abhijit Vinayak Banerjee and Esther Duflo, 73 – 140. North-Holland.
9. 1. Athey, Susan,
   2. Dean Eckles, and
   3. Guido W. Imbens

   . 2018. “Exact p-Values for Network Interference.” Journal of the American Statistical Association, 113(521): 230–240.

   OpenUrl
10. 1. Azzam, Tarek,
    2. Michael D. Bates, and
    3. David Fairris

    . 2022. “Do learning communities increase first year college retention? Evidence from a randomized control trial.” Economics of Education Review, 89: 102279.

    OpenUrl
11. 1. Baird, Sarah,
    2. J. Aislinn Bohren,
    3. Craig McIntosh, and
    4. Berk Özler

    . 2018. “Optimal Design of Experiments in the Presence of Interference.” Review of Economics and Statistics, 100(5): 844–860.

    OpenUrl
12. 1. Barrett, Garry,
    2. Peter Levell, and
    3. Kevin Milligan

    . 2014. “A Comparison of Micro and Macro Expenditure Measures across Countries Using Differing Survey Methods.” In Improving the Measurement of Consumer Expenditures. NBER Chapters, 263–286. National Bureau of Economic Research, Inc.
13. 1. Behagel, Luc,
    2. Bruno Crépon,
    3. Marc Gurgand, and
    4. Thomas Le Barbanchon

    . 2015. “Please Call Again: Correcting Nonresponse Bias in Treatment Effect Models.” Review of Economics and Statistics, 97: 1070–1080.

    OpenUrl
14. 1. Benjamini, Yoav, and
    2. Yosef Hochberg

    . 1995. “Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing.” Journal of the Royal Statistical Society. Series B (Methodological), 57(1): 289–300.

    OpenUrlCrossRefPubMedWeb of Science
15. 1. Bester, C. Alan, and
    2. Christian Hansen

    . 2009. “Identification of Marginal Effects in a Nonparametric Correlated Random Effects Model.” Journal of Business and Economic Statistics, 27(2): 235–250.

    OpenUrl
16. 1. Bruhn, Miriam, and
    2. David McKenzie

    . 2009. “In Pursuit of Balance: Randomization in Practice in Development Field Experiments.” American Economic Journal: Applied Economics, 1(4): 200–232.

    OpenUrlCrossRefWeb of Science
17. 1. Bugni, Federico A.,
    2. Ivan A. Canay, and
    3. Azeem M. Shaikh

    . 2018. “Inference Under Covariate-Adaptive Randomization.” Journal of the American Statistical Association, 113(524): 1784–1796.

    OpenUrl
18. 1. Canay, Ivan A.,
    2. Joseph P. Romano, and
    3. Azeem M. Shaikh

    . 2017. “Randomization Tests Under an Approximate Symmetry Assumption.” Econometrica, 85(3): 1013–1030.

    OpenUrl
19. 1. Carneiro, Pedro,
    2. Sokbae Lee, and
    3. Daniel Wilhelm

    . 2019. “Optimal data collection for randomized control trials.” The Econometrics Journal, 23(1): 1–31.

    OpenUrl
20. 1. Chen, Xuan, and
    2. Carlos A. Flores

    . 2015a. “Bounds on Treatment Effects in the Presence of Sample Selection and Noncompliance: The Wage Effects of Job Corps.” Journal of Business & Economic Statistics, 33(4): 523–540.

    OpenUrl
21. 1. Chen, Xuan, and
    2. Carlos A. Flores

    . 2015b. “Bounds on Treatment Effects in the Presence of Sample Selection and Noncompliance: The Wage Effects of Job Corps.” Journal of Business & Economic Statistics, 33(4): 523–540.

    OpenUrl
22. 1. Chernozhukov, Victor,
    2. Ivan Fernandez-Val,
    3. Jinyong Hahn, and
    4. Whitney Newey

    . 2013. “Average and Quantile Effects in Nonseparable Panel Data Models.” Econometrica, 81(2): pp.535–580.

    OpenUrlCrossRefWeb of Science
23. 1. Das, Mitali,
    2. Whitney K. Newey, and
    3. Francis Vella

    . 2003. “Nonparametric Estimation of Sample Selection Models.” Review of Economic Studies, 70(1): 33–58.

    OpenUrlCrossRef
24. 1. de Chaisemartin, Clément, and
    2. Luc Behaghel

    . 2020. “Estimating the Effect of Treatments Allocated by Randomized Waiting Lists.” Econometrica, 88(4): 1453–1477.

    OpenUrl
25. 1. Dufour, Jean-Marie.

    2006. “Monte Carlo Tests with Nuisance Parameters: A General approach to Finite-Sample Inference and Nonstandard Asymptotics.” Journal of Econometrics, 133(2): 443–477.

    OpenUrlCrossRefWeb of Science
26. 1. Dufour, Jean-Marie,
    2. Abdeljelil Farhat,
    3. Lucien Gardiol, and
    4. Lynda Khalaf

    . 1998. “Simulation-based Finite Sample Normality Tests in Linear Regressions.” Econometrics Journal, 1(1): 154–173.

    OpenUrl
27. 1. Fricke, Hans,
    2. Markus Fröhlich,
    3. Martin Huber, and
    4. Michael Lechner

    . 2020. “Endogeneity and non-response bias in treatment evaluation – nonparametric identification of causal effects by instruments.” Journal of Applied Econometrics, 35(5): 481–504.

    OpenUrl
28. 1. Ghanem, Dalia.

    2017. “Testing Identifying Assumptions in Nonseparable Panel Data Models.” Journal of Econometrics, 197: 202–217.

    OpenUrl
29. 1. Ghanem, Dalia,
    2. Sarojini Hirshleifer,
    3. Désiré Kédagni, and
    4. Karen Ortiz-Becerra

    . 2023. “Correcting Attrition Bias using Changes-in-Changes.” Unpublished Manuscript.
30. 1. Glennerster, Rachel, and
    2. Kudzai Takavarasha

    . 2013. Running Randomized Evaluations: A Practical Guide. . Student Edition ed., Princeton University Press.
31. 1. Hausman, Jerry A., and
    2. David A. Wise

    . 1979. “Attrition Bias in Experimental and Panel Data: The Gary Income Maintenance Experiment.” Econometrica, 47(2): 455–473.

    OpenUrlCrossRefWeb of Science
32. 1. Heckman, James J.

    1976. “The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models.” In Annals of Economic and Social Measurement. Vol. 5,, ed. Sanford V. Berg, 475–492. National Bureau of Economic Research.

    OpenUrlWeb of Science
33. 1. Heckman, James J.

    1979. “Sample Selection Bias as A Specification Error.” Econometrica, 47(1): 153–161.

    OpenUrlCrossRefWeb of Science
34. 1. Hirano, Keisuke,
    2. Guido W. Imbens, and
    3. Geert Ridder

    . 2003. “Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score.” Econometrica, 71(4): 1161–1189.

    OpenUrlCrossRefWeb of Science
35. 1. Hirano, Keisuke,
    2. Guido W. Imbens,
    3. Geert Ridder, and
    4. Donald B. Rubin

    . 2001. “Combining Panel Data Sets with Attrition and Refreshment Samples.” Econometrica, 69(6): 1645–1659.

    OpenUrlCrossRefWeb of Science
36. 1. Hoderlein, Stefan, and
    2. Halbert White

    . 2012. “Nonparametric Identification of Nonseparable Panel Data Models with Generalized Fixed Effects.” Journal of Econometrics, 168(2): 300–314.

    OpenUrlCrossRefWeb of Science
37. 1. Horowitz, Joel L., and
    2. Charles F. Manski

    . 2000. “Nonparametric Analysis of Randomized Experiments with Missing Covariate and Outcome Data.” Journal of the American Statistical Association, 95(449): 77–84.

    OpenUrlCrossRefWeb of Science
38. 1. Horvitz, D. G., and
    2. D. J. Thompson

    . 1952. “A Generalization of Sampling Without Replacement from a Finite Universe.” Journal of the American Statistical Association, 47(260): 663–685.

    OpenUrlCrossRefWeb of Science
39. 1. Hsu, Yu-Chin,
    2. Chu-An Liu, and
    3. Xiaoxia Shi

    . 2019. “Testing Generalized Regression Monotonicity.” Econometric Theory, 1 – 55.
40. 1. Huber, Martin.

    2012. “Identification of Average Treatment Effects in Social Experiments Under Alternative Forms of Attrition.” Journal of Educational and Behavioral Statistics, 37(3): 443–474.

    OpenUrlCrossRef
41. 1. Huber, Martin.

    2014. “Treatment Evaluation in the Presence of Sample Selection.” Econometric Reviews, 33(8): 869–905.

    OpenUrl
42. IES. 2017. “What Works Clearinghouse. Standards Handbook Version 4.0.” U.S. Department of Education, Institute of Education Sciences, National Center for Education Evaluation and Regional Assistance, What Works Clearinghouse.
43. 1. Imbens, Guido W., and
    2. Donald B. Rubin

    . 2015. Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction. Cambridge University Press.
44. 1. Imbens, Guido W., and
    2. Joshua D. Angrist

    . 1994. “Identification and Estimation of Local Average Treatment Effects.” Econometrica, 62(2): 467–475.

    OpenUrlCrossRefWeb of Science
45. INSP. 2005. “General Rural Methodology Note.” Instituto Nacional de Salud Publica.
46. 1. Kasy, Maximilian, and
    2. Anja Sautmann

    . 2021. “Adaptive Treatment Assignment in Experiments for Policy Choice.” Econometrica, 89(1): 113–132.

    OpenUrl
47. 1. Kitagawa, Toru.

    2015. “A Test for Instrument Validity.” Econometrica, 83(5): 2043–2063.

    OpenUrl
48. 1. Kline, Patrick, and
    2. Andres Santos

    . 2013. “Sensitivity to Missing Data Assumptions: Theory and An Evaluation of The U.S. Wage Structure.” Quantitative Economics, 4(2): 231–267.

    OpenUrl
49. 1. Lee, David S.

    2009. “Training, Wages, and Sample Selection: Estimating Sharp Bounds on Treatment Effects.” Review of Economic Studies, 76(3): 1071–1102.

    OpenUrlCrossRefWeb of Science
50. 1. Lehmann, E. L., and
    2. Joseph P. Romano

    . 2005. Testing Statistical Hypotheses. . Third ed., New York:Springer.
51. 1. Manski, Charles F.

    2005. “Partial Identification with Missing Data: Concepts and Findings.” International Journal of Approximate Reasoning, 39(2): 151 – 165.

    OpenUrl
52. 1. McKenzie, David.

    2012. “Beyond Baseline and Follow-Up: The Case for More T in Experiments.” Journal of Development Economics, 99(2): 210–221.

    OpenUrlCrossRef
53. 1. Meyer, Bruce D.,
    2. Wallace K. C. Mok, and
    3. James X. Sullivan

    . 2015. “Household Surveys in Crisis.” Journal of Economic Perspectives, 29(4): 199–226.

    OpenUrlCrossRef
54. 1. Millán, Teresa Molina, and
    2. Karen Macours

    . 2021. “Attrition in Randomized Control Trials: Using Tracking Information to Correct Bias.” Unpublished Manuscript.
55. 1. Mourifié, Ismael, and
    2. Yuanyuan Wan

    . 2017. “Testing Local Average Treatment Effect Assumptions.” Review of Economics and Statistics, 99(2): 305–313.

    OpenUrl
56. 1. Muralidharan, K.

    2017. “Chapter 3 - Field Experiments in Education in Developing Countries.” In Handbook of Economic Field Experiments. Vol. 2 of Handbook of Economic Field Experiments,, ed. Abhijit Vinayak Banerjee and Esther Duflo, 323–385. North-Holland.
57. 1. Muralidharan, Karthik,
    2. Mauricio Romero, and
    3. Kaspar Wüthrich

    . 2023. “Factorial Designs, Model Selection, and (Incorrect) Inference in Randomized Experiments.” The Review of Economics and Statistics, 1–44.
58. 1. Robins, James M.,
    2. Andrea Rotnitzky, and
    3. Lue Ping Zhao

    . 1994. “Estimation of Regression Coefficients When Some Regressors Are Not Always Observed.” Journal of the American Statistical Association, 89(427): 846–866.

    OpenUrlCrossRefWeb of Science
59. 1. Rosenzweig, Mark R, and
    2. Christopher Udry

    . 2019. “External Validity in a Stochastic World: Evidence from Low-Income Countries.” The Review of Economic Studies, 87(1): 343–381.

    OpenUrl
60. 1. Rubin, Donald B.

    1976. “Inference and Missing Data.” Biometrika, 63(3): 581–592.

    OpenUrlCrossRefWeb of Science
61. 1. Skoufias, Emmanuel.

    2005. “PROGRESA and Its Impacts on The Welfare of Rural households in Mexico.” International Food Policy Research Institute (IFPRI) Research Report 139.
62. 1. Vazquez-Bare, Gonzalo.

    2022. “Identification and estimation of spillover effects in randomized experiments.” Journal of Econometrics, 105237.
63. 1. Viviano, Davide.

    2023. “Policy Design in Experiments with Unknown Interference.” Unpublished Manuscript.
64. 1. Wooldridge, Jeffrey M.

    1995. “Selection corrections for panel data models under conditional mean independence assumptions.” Journal of Econometrics, 68(1): 115 – 132.

    OpenUrlCrossRefWeb of Science
65. 1. Young, Alwyn.

    2018. “Channeling Fisher: Randomization Tests and the Statistical Insignificance of Seemingly Significant Experimental Results*.” Quarterly Journal of Economics, 134(2): 557–598.

    OpenUrl