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David M. Kaplan

Not to be confused with: David Scott Kaplan

Personal Details

First Name:David
Middle Name:M.
Last Name:Kaplan
Suffix:
RePEc Short-ID:pka649
[This author has chosen not to make the email address public]
https://kaplandm.github.io/
Terminal Degree:2013 Department of Economics; University of California-San Diego (UCSD) (from RePEc Genealogy)

Affiliation

Economics Department
University of Missouri

Columbia, Missouri (United States)
http://economics.missouri.edu/
RePEc:edi:edumous (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Software

Working papers

  1. David M. Kaplan & Xin Liu, 2025. "Confidence intervals for intentionally biased estimators," Papers 2502.00450, arXiv.org.
  2. David M. Kaplan & Xin Liu, 2025. "Multiple Testing for Distributional Differences with Non-iid Data," Working Papers 2510, Department of Economics, University of Missouri.
  3. Xin Liu & David M. Kaplan, 2025. "Quantile Regression with Log(0) Outcomes," Working Papers 2509, Department of Economics, University of Missouri.
  4. Wei Zhao & David M. Kaplan, 2025. "Multiple Testing of a Function's Monotonicity," Working Papers 2512, Department of Economics, University of Missouri.
  5. Qian Wu & David M. Kaplan, 2025. "Multiple Testing of Stochastic Monotonicity," Working Papers 2511, Department of Economics, University of Missouri.
  6. David M. Kaplan & Wei Zhao, 2025. "Comparing latent inequality with ordinal data," Papers 2501.05338, arXiv.org.
  7. David M. Kaplan & Xin Liu, 2024. "Finite-Sample Inference on Auction Bid Distributions Using Transaction Prices," Working Papers 2403, Department of Economics, University of Missouri.
  8. Qian Wu & David M. Kaplan, 2024. "Ordinal Decomposition," Working Papers 2404, Department of Economics, University of Missouri.
  9. David M. Kaplan, 2024. "Inference on Consensus Ranking of Distributions," Papers 2408.13949, arXiv.org.
  10. Wei Zhao & David M. Kaplan, 2023. "Conditions for Extrapolating Differences in Consumption to Differences in Welfare," Working Papers 2307, Department of Economics, University of Missouri.
  11. Qian Wu & David M. Kaplan, 2023. "Multiple Testing of Ordinal Stochastic Monotonicity," Working Papers 2313, Department of Economics, University of Missouri.
  12. David M. Kaplan, 2023. "Smoothed instrumental variables quantile regression," Papers 2310.09013, arXiv.org.
  13. David M. Kaplan, 2021. "Distcomp: Comparing distributions," Papers 2110.02327, arXiv.org.
  14. David M. Kaplan & Xin Liu, 2021. "k-Class Instrumental Variables Quantile Regression," Working Papers 2104, Department of Economics, University of Missouri.
  15. David M. Kaplan, 2020. "Assessing Policy Effects with Unconditional Quantile Regression," Working Papers 2011, Department of Economics, University of Missouri.
  16. David M. Kaplan, 2020. "sivqr: Smoothed IV quantile regression," Working Papers 2009, Department of Economics, University of Missouri.
  17. David M. Kaplan, 2020. "Interpreting Unconditional Quantile Regression with Conditional Independence," Papers 2010.03606, arXiv.org, revised Oct 2021.
  18. David M. Kaplan & Lonnie Hofmann, 2019. "High-order coverage of smoothed Bayesian bootstrap intervals for population quantiles," Working Papers 1914, Department of Economics, University of Missouri, revised 19 Sep 2020.
  19. David M. Kaplan, 2019. "Unbiased Estimation as a Public Good," Working Papers 1911, Department of Economics, University of Missouri.
  20. Matt Goldman & David M. Kaplan, 2017. "Comparing distributions by multiple testing across quantiles or CDF values," Papers 1708.04658, arXiv.org.
  21. Luciano de Castro & Antonio F. Galvao & David M. Kaplan, 2017. "Smoothed instrumental variables quantile regression, with estimation of quantile Euler equations," Working Papers 1710, Department of Economics, University of Missouri, revised 28 Feb 2018.
  22. Luciano de Castro & Antonio F. Galvao & David M. Kaplan & Xin Liu, 2017. "Smoothed GMM for quantile models," Papers 1707.03436, arXiv.org, revised Feb 2018.
  23. Matt Goldman & David M. Kaplan, 2016. "Fractional order statistic approximation for nonparametric conditional quantile inference," Papers 1609.09035, arXiv.org.
  24. David M. Kaplan & Yixiao Sun, 2016. "Smoothed estimating equations for instrumental variables quantile regression," Papers 1609.09033, arXiv.org.
  25. David M. Kaplan & Longhao Zhuo, 2016. "Frequentist properties of Bayesian inequality tests," Papers 1607.00393, arXiv.org, revised Jul 2024.
  26. David M. Kaplan & Matt Goldman, 2015. "Nonparametric inference on conditional quantile differences and linear combinations, using L-statistics," Working Papers 1503, Department of Economics, University of Missouri.
  27. David M. Kaplan, 2015. "Bayesian and frequentist tests of sign equality and other nonlinear inequalities," Working Papers 1516, Department of Economics, University of Missouri.
  28. David M. Kaplan, 2014. "Nonparametric Inference on Quantile Marginal Effects," Working Papers 1413, Department of Economics, University of Missouri.
  29. David M. Kaplan & Matt Goldman, 2013. "IDEAL Quantile Inference via Interpolated Duals of Exact Analytic L-statistics," Working Papers 1315, Department of Economics, University of Missouri.
  30. David M. Kaplan, 2013. "IDEAL Inference on Conditional Quantiles via Interpolated Duals of Exact Analytic L-statistics," Working Papers 1316, Department of Economics, University of Missouri.
  31. David M. Kaplan & Matt Goldman, 2013. "Comparing distributions by multiple testing across quantiles," Working Papers 1319, Department of Economics, University of Missouri, revised Feb 2018.
  32. David M. Kaplan, 2013. "Improved Quantile Inference Via Fixed-Smoothing Asymptotics And Edgeworth Expansion," Working Papers 1313, Department of Economics, University of Missouri.
  33. Kaplan, David M. & Sun, Yixiao, 2012. "Smoothed Estimating Equations For Instrumental Variables Quantile Regression," University of California at San Diego, Economics Working Paper Series qt888657tp, Department of Economics, UC San Diego.
  34. Sun, Yixiao & Kaplan, David M., 2011. "A New Asymptotic Theory for Vector Autoregressive Long-run Variance Estimation and Autocorrelation Robust Testing," University of California at San Diego, Economics Working Paper Series qt8cx0t4gc, Department of Economics, UC San Diego.

Articles

  1. Wu, Qian & Kaplan, David M., 2025. "Regression and decomposition with ordinal health outcomes," Journal of Health Economics, Elsevier, vol. 102(C).
  2. David M. Kaplan & Xin Liu, 2024. "Confidence intervals for intentionally biased estimators," Econometric Reviews, Taylor & Francis Journals, vol. 43(2-4), pages 197-214, April.
  3. Wei Zhao & David M. Kaplan, 2024. "Conditions for extrapolating differences in consumption to differences in welfare," Economic Inquiry, Western Economic Association International, vol. 62(3), pages 1090-1104, July.
  4. David M. Kaplan, 2024. "Inference on Consensus Ranking of Distributions," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(3), pages 839-850, July.
  5. David M. Kaplan & Xin Liu, 2024. "k-Class instrumental variables quantile regression," Empirical Economics, Springer, vol. 67(1), pages 111-141, July.
  6. David M Kaplan & Wei Zhao, 2023. "Comparing latent inequality with ordinal data," The Econometrics Journal, Royal Economic Society, vol. 26(2), pages 189-214.
  7. David M. Kaplan, 2022. "Smoothed instrumental variables quantile regression," Stata Journal, StataCorp LLC, vol. 22(2), pages 379-403, June.
  8. Kaplan, David M. & Zhuo, Longhao, 2021. "Frequentist properties of Bayesian inequality tests," Journal of Econometrics, Elsevier, vol. 221(1), pages 312-336.
  9. David M. Kaplan, 2019. "distcomp: Comparing distributions," Stata Journal, StataCorp LLC, vol. 19(4), pages 832-848, December.
  10. de Castro, Luciano & Galvao, Antonio F. & Kaplan, David M. & Liu, Xin, 2019. "Smoothed GMM for quantile models," Journal of Econometrics, Elsevier, vol. 213(1), pages 121-144.
  11. Matt Goldman & David M. Kaplan, 2018. "Non‐parametric inference on (conditional) quantile differences and interquantile ranges, using L‐statistics," Econometrics Journal, Royal Economic Society, vol. 21(2), pages 136-169, June.
  12. Goldman, Matt & Kaplan, David M., 2018. "Comparing distributions by multiple testing across quantiles or CDF values," Journal of Econometrics, Elsevier, vol. 206(1), pages 143-166.
  13. Goldman, Matt & Kaplan, David M., 2017. "Fractional order statistic approximation for nonparametric conditional quantile inference," Journal of Econometrics, Elsevier, vol. 196(2), pages 331-346.
  14. Kaplan, David M. & Sun, Yixiao, 2017. "Smoothed Estimating Equations For Instrumental Variables Quantile Regression," Econometric Theory, Cambridge University Press, vol. 33(1), pages 105-157, February.
  15. Kaplan, David M., 2015. "Improved quantile inference via fixed-smoothing asymptotics and Edgeworth expansion," Journal of Econometrics, Elsevier, vol. 185(1), pages 20-32.

Software components

  1. David M. Kaplan, 2021. "SIVQR: Stata module to perform smoothed IV quantile regression," Statistical Software Components S459002, Boston College Department of Economics, revised 14 Mar 2023.
  2. David M. Kaplan, 2021. "DISTCOMP: Stata module to compare distributions," Statistical Software Components S459001, Boston College Department of Economics.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Rankings

This author is among the top 5% authors according to these criteria:
  1. Number of Downloads through RePEc Services over the past 12 months, Weighted by Number of Authors
  2. Record of graduates

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 37 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (29) 2014-06-28 2014-06-28 2014-06-28 2014-06-28 2014-06-28 2014-09-05 2015-02-22 2015-02-28 2015-11-21 2017-07-23 2018-03-05 2018-03-26 2018-03-26 2018-12-17 2019-10-14 2019-10-21 2019-11-18 2020-10-19 2020-12-14 2020-12-14 2021-06-14 2023-07-10 2024-01-08 2024-06-10 2024-06-17 2025-03-03 2025-09-08 2025-09-08 2025-09-08. Author is listed
  2. NEP-UPT: Utility Models and Prospect Theory (7) 2017-07-23 2018-03-05 2018-03-26 2020-12-14 2022-08-29 2023-07-10 2024-10-07. Author is listed
  3. NEP-ORE: Operations Research (5) 2019-10-21 2020-12-14 2020-12-14 2020-12-14 2020-12-14. Author is listed
  4. NEP-HEA: Health Economics (2) 2018-12-17 2019-10-14
  5. NEP-MFD: Microfinance (2) 2023-07-10 2023-07-10
  6. NEP-COM: Industrial Competition (1) 2024-06-10
  7. NEP-ISF: Islamic Finance (1) 2021-08-30
  8. NEP-PBE: Public Economics (1) 2014-06-28
  9. NEP-RMG: Risk Management (1) 2020-10-19
  10. NEP-SEA: South East Asia (1) 2014-06-28

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