
David M. Kaplan
(pronunciation) (he/him)
Associate Professor, Economics
University of Missouri
kaplandm@missouri.edu
Office: Locust Street Building
Google Scholar profile
net from https://kaplandm.github.io/stata
BibTeX for Publications and Working Papers
@inproceedings{KaplanBlei2007,
author={Kaplan, David M. and Blei, David M.},
title={A Computational Approach to Style in {American} Poetry},
booktitle={Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007)},
publisher={IEEE Computer Society}, address={Omaha, NE},
year={2007}, month={October}, pages={553--558},
doi={10.1109/ICDM.2007.76}, url={https://doi.org/10.1109/ICDM.2007.76} }
@unpublished{KaplanLiu2024,
author={Kaplan, David M. and Liu, Xin},
title={Finite-Sample Auction Inference Using Transaction Prices},
year={2024},
note={Working paper available at \url{https://kaplandm.github.io/}} }
@article{Kaplan2024,
author={Kaplan, David M.},
title={Inference on Consensus Ranking of Distributions},
journal={Journal of Business and Economic Statistics},
year={2024}, volume={42}, number={3}, pages={839--850},
doi={10.1080/07350015.2023.2252040},
url={https://doi.org/10.1080/07350015.2023.2252040} }
@article{KaplanLiu2024a,
author={Kaplan, David M. and Liu, Xin},
title={Confidence intervals for intentionally biased estimators},
journal={Econometric Reviews},
year={2024}, volume={43}, number={2--4}, pages={197--214},
doi={10.1080/07474938.2024.2312288},
url={https://doi.org/10.1080/07474938.2024.2312288} }
@article{ZhaoKaplan2024,
author={Zhao, Wei and Kaplan, David M.},
title={Conditions for extrapolating differences in consumption to differences in welfare},
journal={Economic Inquiry},
year={2024}, volume={62}, number={3}, pages={1090--1104},
doi={10.1111/ecin.13224},
url={https://doi.org/10.1111/ecin.13224} }
@unpublished{WuKaplan2025b,
author={Wu, Qian and Kaplan, David M.},
title={Regression and Decomposition with Ordinal Health Outcomes},
year={2025},
note={Working paper available at \url{https://kaplandm.github.io/}} }
@unpublished{ZhaoKaplan2024,
author={Zhao, Wei and Kaplan, David M.},
title={Multiple Testing of a Function's Monotonicity},
year={2024},
note={Working paper available at \url{https://kaplandm.github.io/}} }
@unpublished{WuKaplan2025a,
author={Wu, Qian and Kaplan, David M.},
title={Multiple Testing of Stochastic Monotonicity},
year={2025},
note={Working paper available at \url{https://kaplandm.github.io/}} }
@book{Kaplan2022intro3e,
author={Kaplan, David M.},
title={Introductory {Econometrics}: {Description, Prediction, and Causality}},
year={2022},
publisher={Mizzou Publishing}, address={Columbia, MO},
edition={3rd}, isbn={9781616005290},
url={https://www.themizzoustore.com/p-236916-introductory-econometrics-description-prediction-and-causality.aspx} }
@article{KaplanLiu2024b,
author={Kaplan, David M. and Liu, Xin},
title={$k$-Class instrumental variables quantile regression},
journal={Empirical Economics},
year={2024}, volume={67}, number={1}, pages={111--141},
doi={10.1007/s00181-023-02543-2},
url={https://doi.org/10.1007/s00181-023-02543-2} }
@article{Kaplan2019,
author={Kaplan, David M.},
title={distcomp: Comparing distributions},
journal={Stata Journal},
year={2019}, volume={19}, number={4}, pages={832--848},
doi={10.1177/1536867x19893626},
url={https://doi.org/10.1177/1536867x19893626} }
@article{KaplanZhao2023,
author={Kaplan, David M. and Zhao, Wei},
title={Comparing latent inequality with ordinal data},
journal={Econometrics Journal},
year={2023}, volume={26}, number={2}, pages={189--214},
url={https://doi.org/10.1093/ectj/utac030} }
@article{GoldmanKaplan2018c,
author={Goldman, Matt and Kaplan, David M.},
title={Comparing distributions by multiple testing across quantiles or {CDF} values},
journal={Journal of Econometrics},
year={2018}, volume={206}, number={1}, pages={143--166},
doi={10.1016/j.jeconom.2018.04.003},
url={https://doi.org/10.1016/j.jeconom.2018.04.003} }
@article{sivqr,
author={Kaplan, David M.},
title={Smoothed instrumental variables quantile regression},
journal={Stata Journal},
year={2022}, volume={22}, number={2}, pages={379--403},
doi={10.1177/1536867X221106404},
url={https://doi.org/10.1177/1536867X221106404} }
@article{KaplanHofmann2023,
author={Kaplan, David M. and Hofmann, Lonnie},
title={High-order Coverage of Smoothed {Bayesian} Bootstrap Intervals for Population Quantiles},
journal={Austrian Journal of Statistics},
year={2023}, volume={52}, number={2}, pages={22--44},
doi={10.17713/ajs.v52i2.1385},
url={https://doi.org/10.17713/ajs.v52i2.1385} }
@article{KaplanZhuo2021a,
author={Kaplan, David M. and Zhuo, Longhao},
title={Frequentist properties of {Bayesian} inequality tests},
journal={Journal of Econometrics},
year={2021}, volume={221}, number={1}, pages={312--336},
url={https://doi.org/10.1016/j.jeconom.2020.05.015} }
@article{deCastroGalvaoKaplanLiu2019,
author={de Castro, Luciano and Galvao, Antonio F. and Kaplan, David M. and Liu, Xin},
title={Smoothed {GMM} for quantile models},
journal={Journal of Econometrics},
year={2019}, volume={213}, number={1}, pages={121--144},
url={https://doi.org/10.1016/j.jeconom.2019.04.008} }
@article{KaserEtAl2023,
author={Kaser, Alyssa N. and Kaplan, David M. and Goette, William and Kiselica, Andrew M.},
title={The impact of conventional versus robust norming on cognitive characterization and clinical classification of {MCI} and dementia},
journal={Journal of Neuropsychology},
year={2023}, volume={17}, number={1}, pages={108--124},
doi={10.1111/jnp.12289},
url={https://doi.org/10.1111/jnp.12289} }
@unpublished{Kaplan2019e,
author={Kaplan, David M.},
title={Unbiased Estimation as a Public Good},
year={2019}, note={Working paper available at \url{https://kaplandm.github.io/}} }
@unpublished{Kaplan2021r,
author={Kaplan, David M.},
title={Relationship Estimators},
year={2021}, note={Working paper available at \url{https://kaplandm.github.io/}} }
@article{GoldmanKaplan2018b,
author={Goldman, Matt and Kaplan, David M.},
title={Non-parametric inference on conditional quantile differences and linear combinations, using {$L$-statistics}},
journal={Econometrics Journal},
year={2018}, volume={21}, number={2}, pages={136--169},
doi={10.1111/ectj.12095},
url={https://doi.org/10.1111/ectj.12095}}
@article{GoldmanKaplan2017,
author={Goldman, Matt and Kaplan, David M.},
title={Fractional order statistic approximation for nonparametric conditional quantile inference},
journal={Journal of Econometrics},
year={2017}, volume={196}, number={2}, pages={331--346},
doi={10.1016/j.jeconom.2016.09.015},
url={https://doi.org/10.1016/j.jeconom.2016.09.015}}
@article{KaplanSun2017,
author={Kaplan, David M. and Sun, Yixiao},
title={Smoothed Estimating Equations for Instrumental Variables Quantile Regression},
journal={Econometric Theory},
volume={33}, number={1}, pages={105--157}, year={2017},
doi={10.1017/S0266466615000407},
url={https://doi.org/10.1017/S0266466615000407} }
@article{Kaplan2015a,
author={Kaplan, David M.},
title={Improved quantile inference via fixed-smoothing asymptotics and {Edgeworth} expansion},
journal={Journal of Econometrics},
volume={185}, number={1}, pages={20--32}, year={2015},
issn={0304-4076},
doi={10.1016/j.jeconom.2014.08.011},
url={https://doi.org/10.1016/j.jeconom.2014.08.011} }
@unpublished{Kaplan2014,
author={Kaplan, David M.},
title={Nonparametric inference on quantile marginal effects},
year={2014}, note={Working paper available at \url{https://kaplandm.github.io/}} }
@unpublished{Kaplan2010,
author={Kaplan, David M.},
title={Natural disasters and differential household effects: evidence from the {May} 2006 {Java} earthquake},
year={2010}, note={Working paper available at \url{https://kaplandm.github.io/}} }
@unpublished{Kaplan2019DandC,
author={Kaplan, David M.},
title={Optimal Smoothing in Divide-and-Conquer for Big Data},
year={2019}, note={Working paper available at \url{https://kaplandm.github.io/}} }
@unpublished{SunKaplan2011,
author={Sun, Yixiao and Kaplan, David M.},
title={Fixed-smoothing asymptotics and accurate {F} approximation using vector autoregressive variance matrix estimator},
year={2011}, note={Working paper available at \url{https://kaplandm.github.io/}} }