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Quantifying the Uncertainty of Imputed Demographic Disparity Estimates: The Dual Bootstrap

In: Race, Ethnicity, and Economic Statistics for the 21st Century

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  • Benjamin Lu
  • Jia Wan
  • Derek Ouyang
  • Jacob Goldin
  • Daniel E. Ho

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  • Benjamin Lu & Jia Wan & Derek Ouyang & Jacob Goldin & Daniel E. Ho, 2024. "Quantifying the Uncertainty of Imputed Demographic Disparity Estimates: The Dual Bootstrap," NBER Chapters, in: Race, Ethnicity, and Economic Statistics for the 21st Century, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberch:14958
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    1. Carlos F Avenancio-León & Troup Howard, 2022. "The Assessment Gap: Racial Inequalities in Property Taxation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 137(3), pages 1383-1434.
    2. Ji-Sung Kim & Xin Gao & Andrey Rzhetsky, 2018. "RIDDLE: Race and ethnicity Imputation from Disease history with Deep LEarning," PLOS Computational Biology, Public Library of Science, vol. 14(4), pages 1-15, April.
    3. Vaart,A. W. van der, 2000. "Asymptotic Statistics," Cambridge Books, Cambridge University Press, number 9780521784504.
    4. Miratrix, Luke W. & Sekhon, Jasjeet S. & Theodoridis, Alexander G. & Campos, Luis F., 2018. "Worth Weighting? How to Think About and Use Weights in Survey Experiments," Political Analysis, Cambridge University Press, vol. 26(3), pages 275-291, July.
    5. Nathan Kallus & Xiaojie Mao & Angela Zhou, 2022. "Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination," Management Science, INFORMS, vol. 68(3), pages 1959-1981, March.
    6. Ariel Kleiner & Ameet Talwalkar & Purnamrita Sarkar & Michael I. Jordan, 2014. "A scalable bootstrap for massive data," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 76(4), pages 795-816, September.
    7. Di Shu & Jessica G. Young & Sengwee Toh & Rui Wang, 2021. "Variance estimation in inverse probability weighted Cox models," Biometrics, The International Biometric Society, vol. 77(3), pages 1101-1117, September.
    8. Angrist, Joshua D & Krueger, Alan B, 1995. "Split-Sample Instrumental Variables Estimates of the Return to Schooling," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(2), pages 225-235, April.
    9. Fong, Christian & Tyler, Matthew, 2021. "Machine Learning Predictions as Regression Covariates," Political Analysis, Cambridge University Press, vol. 29(4), pages 467-484, October.
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