David M. Kaplan
Personal Details
First Name:  David 
Middle Name:  M. 
Last Name:  Kaplan 
Suffix:  
RePEc ShortID:  pka649 
[This author has chosen not to make the email address public]  
https://kaplandm.github.io  
Terminal Degree:  2013 Department of Economics; University of CaliforniaSan 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
Jump to: Working papers Articles SoftwareWorking papers
 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.
 David M. Kaplan, 2023.
"Smoothed instrumental variables quantile regression,"
Papers
2310.09013, arXiv.org.
 David M. Kaplan, 2022. "Smoothed instrumental variables quantile regression," Stata Journal, StataCorp LP, vol. 22(2), pages 379403, June.
 David M. Kaplan & Xin Liu, 2023. "Confidence Intervals for Intentionally Biased Estimators," Working Papers 2308, Department of Economics, University of Missouri.
 David M. Kaplan, 2021.
"Distcomp: Comparing distributions,"
Papers
2110.02327, arXiv.org.
 David M. Kaplan, 2019. "distcomp: Comparing distributions," Stata Journal, StataCorp LP, vol. 19(4), pages 832848, December.
 David M. Kaplan, 2019. "distcomp: Comparing distributions," Working Papers 1908, Department of Economics, University of Missouri.
 David Kaplan, 2021. "distcomp: Comparing distributions," 2021 Stata Conference 2, Stata Users Group.
 David M. Kaplan, 2018. "distcomp: Comparing distributions," Working Papers 1817, Department of Economics, University of Missouri.
 David M. Kaplan & Xin Liu, 2021. "kClass Instrumental Variables Quantile Regression," Working Papers 2104, Department of Economics, University of Missouri.
 David M. Kaplan, 2020. "sivqr: Smoothed IV quantile regression," Working Papers 2009, Department of Economics, University of Missouri.
 David M. Kaplan, 2020.
"Assessing Policy Effects with Unconditional Quantile Regression,"
Working Papers
2011, Department of Economics, University of Missouri.
 David M. Kaplan, 2019. "Interpreting Unconditional Quantile Regression with Conditional Independence," Working Papers 1912, Department of Economics, University of Missouri, revised 08 Nov 2020.
 David M. Kaplan, 2020.
"Interpreting Unconditional Quantile Regression with Conditional Independence,"
Papers
2010.03606, arXiv.org, revised Oct 2021.
 David M. Kaplan, 2019. "Interpreting Unconditional Quantile Regression with Conditional Independence," Working Papers 1912, Department of Economics, University of Missouri, revised 08 Nov 2020.
 David M. Kaplan, 2020.
"Inference on Consensus Ranking of Distributions,"
Working Papers
2010, Department of Economics, University of Missouri.
 David M. Kaplan, 2022. "Inference on Consensus Ranking of Distributions," Working Papers 2205, Department of Economics, University of Missouri.
 David M. Kaplan & Lonnie Hofmann, 2019.
"Highorder coverage of smoothed Bayesian bootstrap intervals for population quantiles,"
Working Papers
1914, Department of Economics, University of Missouri, revised 19 Sep 2020.
 David M. Kaplan & Lonnie Hofmann, 2020. "Highorder coverage of smoothed Bayesian bootstrap intervals for population quantiles," Working Papers 2012, Department of Economics, University of Missouri.
 David M. Kaplan, 2019. "Unbiased Estimation as a Public Good," Working Papers 1911, Department of Economics, University of Missouri.
 David M. Kaplan & Longhao Zhuo, 2018.
"Comparing latent inequality with ordinal data,"
Working Papers
1816, Department of Economics, University of Missouri, revised Feb 2019.
 David M Kaplan & Wei Zhao, 2023. "Comparing latent inequality with ordinal data," The Econometrics Journal, Royal Economic Society, vol. 26(2), pages 189214.
 David M. Kaplan & Longhao Zhuo, 2019. "Comparing latent inequality with ordinal data," Working Papers 1909, Department of Economics, University of Missouri.
 David M. Kaplan & Wei Zhao, 2022. "Comparing Latent Inequality with Ordinal Data," Working Papers 2206, Department of Economics, University of Missouri.
 Matt Goldman & David M. Kaplan, 2017.
"Comparing distributions by multiple testing across quantiles or CDF values,"
Papers
1708.04658, arXiv.org.
 Goldman, Matt & Kaplan, David M., 2018. "Comparing distributions by multiple testing across quantiles or CDF values," Journal of Econometrics, Elsevier, vol. 206(1), pages 143166.
 David M. Kaplan & Matt Goldman, 2018. "Comparing distributions by multiple testing across quantiles or CDF values," Working Papers 1801, Department of Economics, University of Missouri.
 David M. Kaplan & Matt Goldman, 2016. "Comparing distributions by multiple testing across quantiles or CDF values," Working Papers 1619, Department of Economics, University of Missouri, revised 22 Feb 2018.
 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.
 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 121144.
 Luciano de Castro & Antonio F. Galvao & David M. Kaplan & Xin Liu, 2018. "Smoothed GMM for quantile models," Working Papers 1803, Department of Economics, University of Missouri.
 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.
 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 121144.
 Luciano de Castro & Antonio F. Galvao & David M. Kaplan & Xin Liu, 2018. "Smoothed GMM for quantile models," Working Papers 1803, Department of Economics, University of Missouri.
 Matt Goldman & David M. Kaplan, 2016.
"Fractional order statistic approximation for nonparametric conditional quantile inference,"
Papers
1609.09035, arXiv.org.
 Goldman, Matt & Kaplan, David M., 2017. "Fractional order statistic approximation for nonparametric conditional quantile inference," Journal of Econometrics, Elsevier, vol. 196(2), pages 331346.
 David M. Kaplan & Matt Goldman, 2015. "Fractional order statistic approximation for nonparametric conditional quantile inference," Working Papers 1502, Department of Economics, University of Missouri.
 David M. Kaplan & Longhao Zhuo, 2016.
"Frequentist size of Bayesian inequality tests,"
Papers
1607.00393, arXiv.org, revised Feb 2018.
 David M. Kaplan & Longhao Zhuo, 2017. "Frequentist size of Bayesian inequality tests," Working Papers 1709, Department of Economics, University of Missouri, revised 14 Jul 2019.
 David M. Kaplan & Longhao Zhuo, 2018. "Frequentist size of Bayesian inequality tests," Working Papers 1802, Department of Economics, University of Missouri, revised 14 Jul 2019.
 David M. Kaplan & Yixiao Sun, 2016.
"Smoothed estimating equations for instrumental variables quantile regression,"
Papers
1609.09033, arXiv.org.
 Kaplan, David M. & Sun, Yixiao, 2017. "Smoothed Estimating Equations For Instrumental Variables Quantile Regression," Econometric Theory, Cambridge University Press, vol. 33(1), pages 105157, February.
 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.
 David M. Kaplan & Yixiao Sun, 2013. "Smoothed Estimating Equations for Instrumental Variables Quantile Regression," Working Papers 1314, Department of Economics, University of Missouri.
 David M. Kaplan & Matt Goldman, 2015.
"Nonparametric inference on conditional quantile differences and linear combinations, using Lstatistics,"
Working Papers
1503, Department of Economics, University of Missouri.
 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 136169, June.
 David M. Kaplan & Matt Goldman, 2016. "Nonparametric inference on conditional quantile differences and linear combinations, using Lstatistics," Working Papers 1620, Department of Economics, University of Missouri.
 David M. Kaplan & Longhao Zhuo, 2015.
"Bayesian and frequentist inequality tests,"
Working Papers
1516, Department of Economics, University of Missouri, revised Feb 2018.
 David M. Kaplan & Longhao Zhuo, 2017. "Frequentist size of Bayesian inequality tests," Working Papers 1709, Department of Economics, University of Missouri, revised 14 Jul 2019.
 David M. Kaplan & Longhao Zhuo, 2018. "Frequentist size of Bayesian inequality tests," Working Papers 1802, Department of Economics, University of Missouri, revised 14 Jul 2019.
 David M. Kaplan & Longhao Zhuo, 2019. "Frequentist properties of Bayesian inequality tests," Working Papers 1910, Department of Economics, University of Missouri.
 David M. Kaplan, 2014. "Nonparametric Inference on Quantile Marginal Effects," Working Papers 1413, Department of Economics, University of Missouri.
 David M. Kaplan & Matt Goldman, 2013. "IDEAL Quantile Inference via Interpolated Duals of Exact Analytic Lstatistics," Working Papers 1315, Department of Economics, University of Missouri.
 David M. Kaplan, 2013. "IDEAL Inference on Conditional Quantiles via Interpolated Duals of Exact Analytic Lstatistics," Working Papers 1316, Department of Economics, University of Missouri.
 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.
 Goldman, Matt & Kaplan, David M., 2018. "Comparing distributions by multiple testing across quantiles or CDF values," Journal of Econometrics, Elsevier, vol. 206(1), pages 143166.
 David M. Kaplan & Matt Goldman, 2016. "Comparing distributions by multiple testing across quantiles or CDF values," Working Papers 1619, Department of Economics, University of Missouri, revised 22 Feb 2018.
 David M. Kaplan, 2013.
"Improved Quantile Inference Via FixedSmoothing Asymptotics And Edgeworth Expansion,"
Working Papers
1313, Department of Economics, University of Missouri.
 Kaplan, David M., 2015. "Improved quantile inference via fixedsmoothing asymptotics and Edgeworth expansion," Journal of Econometrics, Elsevier, vol. 185(1), pages 2032.
 Sun, Yixiao & Kaplan, David M., 2011. "A New Asymptotic Theory for Vector Autoregressive Longrun Variance Estimation and Autocorrelation Robust Testing," University of California at San Diego, Economics Working Paper Series qt8cx0t4gc, Department of Economics, UC San Diego.
Articles
 David M Kaplan & Wei Zhao, 2023.
"Comparing latent inequality with ordinal data,"
The Econometrics Journal, Royal Economic Society, vol. 26(2), pages 189214.
 David M. Kaplan & Longhao Zhuo, 2019. "Comparing latent inequality with ordinal data," Working Papers 1909, Department of Economics, University of Missouri.
 David M. Kaplan & Wei Zhao, 2022. "Comparing Latent Inequality with Ordinal Data," Working Papers 2206, Department of Economics, University of Missouri.
 David M. Kaplan & Longhao Zhuo, 2018. "Comparing latent inequality with ordinal data," Working Papers 1816, Department of Economics, University of Missouri, revised Feb 2019.
 David M. Kaplan, 2022.
"Smoothed instrumental variables quantile regression,"
Stata Journal, StataCorp LP, vol. 22(2), pages 379403, June.
 David M. Kaplan, 2023. "Smoothed instrumental variables quantile regression," Papers 2310.09013, arXiv.org.
 Kaplan, David M. & Zhuo, Longhao, 2021.
"Frequentist properties of Bayesian inequality tests,"
Journal of Econometrics, Elsevier, vol. 221(1), pages 312336.
 David M. Kaplan & Longhao Zhuo, 2019. "Frequentist properties of Bayesian inequality tests," Working Papers 1910, Department of Economics, University of Missouri.
 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 121144.
 Luciano de Castro & Antonio F. Galvao & David M. Kaplan & Xin Liu, 2018. "Smoothed GMM for quantile models," Working Papers 1803, Department of Economics, University of Missouri.
 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.
 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.
 David M. Kaplan, 2019.
"distcomp: Comparing distributions,"
Stata Journal, StataCorp LP, vol. 19(4), pages 832848, December.
 David M. Kaplan, 2021. "Distcomp: Comparing distributions," Papers 2110.02327, arXiv.org.
 David M. Kaplan, 2019. "distcomp: Comparing distributions," Working Papers 1908, Department of Economics, University of Missouri.
 David Kaplan, 2021. "distcomp: Comparing distributions," 2021 Stata Conference 2, Stata Users Group.
 David M. Kaplan, 2018. "distcomp: Comparing distributions," Working Papers 1817, Department of Economics, University of Missouri.
 Goldman, Matt & Kaplan, David M., 2018.
"Comparing distributions by multiple testing across quantiles or CDF values,"
Journal of Econometrics, Elsevier, vol. 206(1), pages 143166.
 David M. Kaplan & Matt Goldman, 2018. "Comparing distributions by multiple testing across quantiles or CDF values," Working Papers 1801, Department of Economics, University of Missouri.
 David M. Kaplan & Matt Goldman, 2016. "Comparing distributions by multiple testing across quantiles or CDF values," Working Papers 1619, Department of Economics, University of Missouri, revised 22 Feb 2018.
 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.
 Matt Goldman & David M. Kaplan, 2017. "Comparing distributions by multiple testing across quantiles or CDF values," Papers 1708.04658, arXiv.org.
 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 136169, June.
 David M. Kaplan & Matt Goldman, 2015. "Nonparametric inference on conditional quantile differences and linear combinations, using Lstatistics," Working Papers 1503, Department of Economics, University of Missouri.
 Goldman, Matt & Kaplan, David M., 2017.
"Fractional order statistic approximation for nonparametric conditional quantile inference,"
Journal of Econometrics, Elsevier, vol. 196(2), pages 331346.
 Matt Goldman & David M. Kaplan, 2016. "Fractional order statistic approximation for nonparametric conditional quantile inference," Papers 1609.09035, arXiv.org.
 David M. Kaplan & Matt Goldman, 2015. "Fractional order statistic approximation for nonparametric conditional quantile inference," Working Papers 1502, Department of Economics, University of Missouri.
 Kaplan, David M. & Sun, Yixiao, 2017.
"Smoothed Estimating Equations For Instrumental Variables Quantile Regression,"
Econometric Theory, Cambridge University Press, vol. 33(1), pages 105157, February.
 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.
 David M. Kaplan & Yixiao Sun, 2016. "Smoothed estimating equations for instrumental variables quantile regression," Papers 1609.09033, arXiv.org.
 David M. Kaplan & Yixiao Sun, 2013. "Smoothed Estimating Equations for Instrumental Variables Quantile Regression," Working Papers 1314, Department of Economics, University of Missouri.
 Kaplan, David M., 2015.
"Improved quantile inference via fixedsmoothing asymptotics and Edgeworth expansion,"
Journal of Econometrics, Elsevier, vol. 185(1), pages 2032.
 David M. Kaplan, 2013. "Improved Quantile Inference Via FixedSmoothing Asymptotics And Edgeworth Expansion," Working Papers 1313, Department of Economics, University of Missouri.
Software components
 David M. Kaplan, 2021. "DISTCOMP: Stata module to compare distributions," Statistical Software Components S459001, Boston College Department of Economics.
 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.
Citations
Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.Working papers
 David M. Kaplan, 2023.
"Smoothed instrumental variables quantile regression,"
Papers
2310.09013, arXiv.org.
 David M. Kaplan, 2022. "Smoothed instrumental variables quantile regression," Stata Journal, StataCorp LP, vol. 22(2), pages 379403, June.
Cited by:
 Sodokin, Koffi & Djafon, Joseph Kokouvi & Dandonougbo, Yevessé & Akakpo, Afi & Couchoro, Mawuli K. & Agbodji, Akoété Ega, 2023. "Technological change, completeness of financing microstructures, and impact on wellbeing and income inequality," Telecommunications Policy, Elsevier, vol. 47(6).
 Heboyan, Vahé & Hovhannisyan, Vardges & Bakhtavoryan, Rafael, 2023. "A Comprehensive Analysis of Tobacco Control Policies within a Smoothed Instrumental Variables Quantile Regression Framework," 2023 Annual Meeting, July 2325, Washington D.C. 335614, Agricultural and Applied Economics Association.
 David M. Kaplan, 2021.
"Distcomp: Comparing distributions,"
Papers
2110.02327, arXiv.org.
 David M. Kaplan, 2019. "distcomp: Comparing distributions," Stata Journal, StataCorp LP, vol. 19(4), pages 832848, December.
 David M. Kaplan, 2019. "distcomp: Comparing distributions," Working Papers 1908, Department of Economics, University of Missouri.
 David Kaplan, 2021. "distcomp: Comparing distributions," 2021 Stata Conference 2, Stata Users Group.
 David M. Kaplan, 2018. "distcomp: Comparing distributions," Working Papers 1817, Department of Economics, University of Missouri.
Cited by:
 Fetene, Gebeyehu Manie & Balew, Solomon & Abro, Zewdu & Kassie, Menale & Tefera, Tadele, 2021. "PushPull Technology As a ClimateSmart Integrated Pest Management Strategy in Southern Ethiopia," 2021 Conference, August 1731, 2021, Virtual 315246, International Association of Agricultural Economists.
 Ayllón, Sara, 2022.
"Online teaching and gender bias,"
Economics of Education Review, Elsevier, vol. 89(C).
 Ayllón, Sara, 2021. "Online Teaching and Gender Bias," IZA Discussion Papers 14787, Institute of Labor Economics (IZA).
 David M. Kaplan, 2020.
"Inference on Consensus Ranking of Distributions,"
Working Papers
2010, Department of Economics, University of Missouri.
 David M. Kaplan, 2022. "Inference on Consensus Ranking of Distributions," Working Papers 2205, Department of Economics, University of Missouri.
 Heyman, Fredrik & Norbäck, PehrJohan & Persson, Lars, 2017.
"Talent, Career Choice and Competition: The Gender Wage Gap at the Top,"
Working Paper Series
1169, Research Institute of Industrial Economics, revised 06 Mar 2023.
 Fredrik Heyman & PehrJohan Norbäck & Lars Persson, 2020. "Talent, Career Choice and Competition: The Gender Wage Gap at the Top," CESifo Working Paper Series 8657, CESifo.
 Zewdu Abro & Gebeyehu Manie Fetene & Menale Kassie & Tigist Mekonnen Melesse, 2023. "Socioeconomic burden of trypanosomiasis: Evidence from crop and livestock production in Ethiopia," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(3), pages 785799, September.
 Stefano Boscolo, 2019. "Quantifying the Redistributive Effect of the Erosion of the Italian Personal Income Tax Base: A Microsimulation Exercise," ECONOMIA PUBBLICA, FrancoAngeli Editore, vol. 2019(2), pages 3980.
 David M. Kaplan, 2020.
"sivqr: Smoothed IV quantile regression,"
Working Papers
2009, Department of Economics, University of Missouri.
Cited by:
 Federico Favata & Sofia Zamparo, 2021. "Estimación del efecto de la segregación ocupacional por sexo en el ingreso laboral para Argentina (20162020)," Asociación Argentina de Economía Política: Working Papers 4467, Asociación Argentina de Economía Política.
 FeitoRuiz, Isabel & MenéndezRequejo, Susana, 2022. "Debt maturity in family firms: Heterogeneity across countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
 Alfonso Rosolia, 2021. "Does information about current inflation affect expectations and decisions? Another look at Italian firms," Temi di discussione (Economic working papers) 1353, Bank of Italy, Economic Research and International Relations Area.
 David M. Kaplan, 2020.
"Assessing Policy Effects with Unconditional Quantile Regression,"
Working Papers
2011, Department of Economics, University of Missouri.
 David M. Kaplan, 2019. "Interpreting Unconditional Quantile Regression with Conditional Independence," Working Papers 1912, Department of Economics, University of Missouri, revised 08 Nov 2020.
Cited by:
 Julian MartinezIriarte & Yixiao Sun, 2020. "Identification and Estimation of Unconditional Policy Effects of an Endogenous Binary Treatment: an Unconditional MTE Approach," Papers 2010.15864, arXiv.org, revised Jul 2023.
 MartínezIriarte, Julian & Sun, Yixiao, 2021. "Identification and Estimation of Unconditional Policy Effects of an Endogenous Binary Treatment: an Unconditional MTE Approach," University of California at San Diego, Economics Working Paper Series qt2bc57830, Department of Economics, UC San Diego.
 David M. Kaplan, 2020.
"Interpreting Unconditional Quantile Regression with Conditional Independence,"
Papers
2010.03606, arXiv.org, revised Oct 2021.
 David M. Kaplan, 2019. "Interpreting Unconditional Quantile Regression with Conditional Independence," Working Papers 1912, Department of Economics, University of Missouri, revised 08 Nov 2020.
Cited by:
 Julian MartinezIriarte & Yixiao Sun, 2020. "Identification and Estimation of Unconditional Policy Effects of an Endogenous Binary Treatment: an Unconditional MTE Approach," Papers 2010.15864, arXiv.org, revised Jul 2023.
 MartínezIriarte, Julian & Sun, Yixiao, 2021. "Identification and Estimation of Unconditional Policy Effects of an Endogenous Binary Treatment: an Unconditional MTE Approach," University of California at San Diego, Economics Working Paper Series qt2bc57830, Department of Economics, UC San Diego.
 David M. Kaplan & Longhao Zhuo, 2018.
"Comparing latent inequality with ordinal data,"
Working Papers
1816, Department of Economics, University of Missouri, revised Feb 2019.
 David M Kaplan & Wei Zhao, 2023. "Comparing latent inequality with ordinal data," The Econometrics Journal, Royal Economic Society, vol. 26(2), pages 189214.
 David M. Kaplan & Longhao Zhuo, 2019. "Comparing latent inequality with ordinal data," Working Papers 1909, Department of Economics, University of Missouri.
 David M. Kaplan & Wei Zhao, 2022. "Comparing Latent Inequality with Ordinal Data," Working Papers 2206, Department of Economics, University of Missouri.
Cited by:
 Stephen P. Jenkins, 2020.
"Comparing distributions of ordinal data,"
Stata Journal, StataCorp LP, vol. 20(3), pages 505531, September.
 Jenkins, Stephen P., 2020. "Comparing distributions of ordinal data," LSE Research Online Documents on Economics 104564, London School of Economics and Political Science, LSE Library.
 Jenkins, Stephen P., 2020. "Comparing Distributions of Ordinal Data," IZA Discussion Papers 13057, Institute of Labor Economics (IZA).
 Grimes, Arthur & Jenkins, Stephen P. & Tranquilli, Florencia, 2020.
"The Relationship between Subjective Wellbeing and Subjective Wellbeing Inequality: Taking Ordinality and Skewness Seriously,"
IZA Discussion Papers
13692, Institute of Labor Economics (IZA).
 Arthur Grimes & Stephen P. Jenkins & Florencia Tranquilli, 2020. "The Relationship between Subjective Wellbeing and Subjective Wellbeing Inequality: Taking Ordinality and Skewness Seriously," Working Papers 20_09, Motu Economic and Public Policy Research.
 Kaplan, David M. & Zhuo, Longhao, 2021.
"Frequentist properties of Bayesian inequality tests,"
Journal of Econometrics, Elsevier, vol. 221(1), pages 312336.
 David M. Kaplan & Longhao Zhuo, 2019. "Frequentist properties of Bayesian inequality tests," Working Papers 1910, Department of Economics, University of Missouri.
 Shuo Liu & Nick Netzer, 2023.
"Happy Times: Measuring Happiness Using Response Times,"
CESifo Working Paper Series
10360, CESifo.
 Shuo Liu & Nick Netzer, 2020. "Happy times: measuring happiness using response times," ECON  Working Papers 371, Department of Economics  University of Zurich, revised Mar 2023.
 David M. Kaplan & Longhao Zhuo, 2018.
"Frequentist size of Bayesian inequality tests,"
Working Papers
1802, Department of Economics, University of Missouri, revised 14 Jul 2019.
 David M. Kaplan & Longhao Zhuo, 2017. "Frequentist size of Bayesian inequality tests," Working Papers 1709, Department of Economics, University of Missouri, revised 14 Jul 2019.
 David M. Kaplan & Longhao Zhuo, 2016. "Frequentist size of Bayesian inequality tests," Papers 1607.00393, arXiv.org, revised Feb 2018.
 David M. Kaplan & Longhao Zhuo, 2015. "Bayesian and frequentist inequality tests," Working Papers 1516, Department of Economics, University of Missouri, revised Feb 2018.
 David M. Kaplan & Longhao Zhuo, 2019. "Frequentist properties of Bayesian inequality tests," Working Papers 1910, Department of Economics, University of Missouri.
 Arthur Grimes & Stephen P. Jenkins & Florencia Tranquilli, 2023. "The Relationship Between Subjective Wellbeing and Subjective Wellbeing Inequality: An Important Role for Skewness," Journal of Happiness Studies, Springer, vol. 24(1), pages 309330, January.
 Andrew Chesher & Adam Rosen & Zahra Siddique, 2019. "Estimating Endogenous Effects on Ordinal Outcomes," CeMMAP working papers CWP66/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
 Matt Goldman & David M. Kaplan, 2017.
"Comparing distributions by multiple testing across quantiles or CDF values,"
Papers
1708.04658, arXiv.org.
 Goldman, Matt & Kaplan, David M., 2018. "Comparing distributions by multiple testing across quantiles or CDF values," Journal of Econometrics, Elsevier, vol. 206(1), pages 143166.
 David M. Kaplan & Matt Goldman, 2018. "Comparing distributions by multiple testing across quantiles or CDF values," Working Papers 1801, Department of Economics, University of Missouri.
 David M. Kaplan & Matt Goldman, 2016. "Comparing distributions by multiple testing across quantiles or CDF values," Working Papers 1619, Department of Economics, University of Missouri, revised 22 Feb 2018.
Cited by:
 John Mullahy, 2020. "Discovering Treatment Effectiveness via Median Treatment Effects—Applications to COVID19 Clinical Trials," NBER Working Papers 27895, National Bureau of Economic Research, Inc.
 Gedikli, Cigdem & Popli, Gurleen & Yilmaz, Okan, 2023. "The impact of intimate partner violence on women’s labour market outcomes," World Development, Elsevier, vol. 164(C).
 David M. Kaplan & Matt Goldman, 2015.
"Nonparametric inference on conditional quantile differences and linear combinations, using Lstatistics,"
Working Papers
1503, Department of Economics, University of Missouri.
 David M. Kaplan & Matt Goldman, 2016. "Nonparametric inference on conditional quantile differences and linear combinations, using Lstatistics," Working Papers 1620, Department of Economics, University of Missouri.
 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 136169, June.
 Fasianos, Apostolos & Evgenidis, Anastasios, 2020.
"Unconventional Monetary Policy and Wealth Inequalities in Great Britain,"
CEPR Discussion Papers
14656, C.E.P.R. Discussion Papers.
 Anastasios Evgenidis & Apostolos Fasianos, 2021. "Unconventional Monetary Policy and Wealth Inequalities in Great Britain," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(1), pages 115175, February.
 David M. Kaplan, 2018.
"distcomp: Comparing distributions,"
Working Papers
1817, Department of Economics, University of Missouri.
 David M. Kaplan, 2021. "Distcomp: Comparing distributions," Papers 2110.02327, arXiv.org.
 David M. Kaplan, 2019. "distcomp: Comparing distributions," Stata Journal, StataCorp LP, vol. 19(4), pages 832848, December.
 David M. Kaplan, 2019. "distcomp: Comparing distributions," Working Papers 1908, Department of Economics, University of Missouri.
 David Kaplan, 2021. "distcomp: Comparing distributions," 2021 Stata Conference 2, Stata Users Group.
 David M. Kaplan & Longhao Zhuo, 2018.
"Frequentist size of Bayesian inequality tests,"
Working Papers
1802, Department of Economics, University of Missouri, revised 14 Jul 2019.
 David M. Kaplan & Longhao Zhuo, 2017. "Frequentist size of Bayesian inequality tests," Working Papers 1709, Department of Economics, University of Missouri, revised 14 Jul 2019.
 David M. Kaplan & Longhao Zhuo, 2016. "Frequentist size of Bayesian inequality tests," Papers 1607.00393, arXiv.org, revised Feb 2018.
 David M. Kaplan & Longhao Zhuo, 2015. "Bayesian and frequentist inequality tests," Working Papers 1516, Department of Economics, University of Missouri, revised Feb 2018.
 David M. Kaplan & Longhao Zhuo, 2019. "Frequentist properties of Bayesian inequality tests," Working Papers 1910, Department of Economics, University of Missouri.
 Goldman, Matt & Kaplan, David M., 2017.
"Fractional order statistic approximation for nonparametric conditional quantile inference,"
Journal of Econometrics, Elsevier, vol. 196(2), pages 331346.
 Matt Goldman & David M. Kaplan, 2016. "Fractional order statistic approximation for nonparametric conditional quantile inference," Papers 1609.09035, arXiv.org.
 David M. Kaplan & Matt Goldman, 2015. "Fractional order statistic approximation for nonparametric conditional quantile inference," Working Papers 1502, Department of Economics, University of Missouri.
 Huang, Wei & Li, Teng & Pan, Yinghao & Ren, Jinyang, 2021. "Teacher Characteristics and Student Performance: Evidence from Random TeacherStudent Assignments in China," IZA Discussion Papers 14184, Institute of Labor Economics (IZA).
 David M. Kaplan, 2020.
"Inference on Consensus Ranking of Distributions,"
Working Papers
2010, Department of Economics, University of Missouri.
 David M. Kaplan, 2022. "Inference on Consensus Ranking of Distributions," Working Papers 2205, Department of Economics, University of Missouri.
 Comin, Diego & Cirera, Xavi & Cruz, Marcio & Lee, Kyung Min, 2020.
"Anatomy of Technology in the Firm,"
CEPR Discussion Papers
15427, C.E.P.R. Discussion Papers.
 Xavier Cirera & Diego A. Comin & Marcio Cruz & Kyung Min Lee, 2020. "Anatomy of Technology in the Firm," NBER Working Papers 28080, National Bureau of Economic Research, Inc.
 Chung, EunYi & Olivares, Mauricio, 2021. "Permutation test for heterogeneous treatment effects with a nuisance parameter," Journal of Econometrics, Elsevier, vol. 225(2), pages 148174.
 Dennis Wesselbaum, 2023. "Understanding the Drivers of the Gender Productivity Gap in the Economics Profession," The American Economist, Sage Publications, vol. 68(1), pages 6173, March.
 Heyman, Fredrik & Norbäck, PehrJohan & Persson, Lars, 2017.
"Talent, Career Choice and Competition: The Gender Wage Gap at the Top,"
Working Paper Series
1169, Research Institute of Industrial Economics, revised 06 Mar 2023.
 Fredrik Heyman & PehrJohan Norbäck & Lars Persson, 2020. "Talent, Career Choice and Competition: The Gender Wage Gap at the Top," CESifo Working Paper Series 8657, CESifo.
 Cirera,Xavier & Comin,Diego Adolfo & Vargas Da Cruz,Marcio Jose & Lee,Kyungmin, 2020. "Technology Within and Across Firms," Policy Research Working Paper Series 9476, The World Bank.
 Wang, Duoyu & Cleary, Rebecca, 2023. "What contributes to the gap in nutritional quality across food security status?," 2023 Annual Meeting, July 2325, Washington D.C. 335552, Agricultural and Applied Economics Association.
 Klenio Barbosa & Dakshina De Silva & Liyu Yang & Hisayuki Yoshimoto, 2020. "Bond Losses and Systemic Risk," Working Papers 288072615, Lancaster University Management School, Economics Department.
 Martin DeLuca & Roberto Pinheiro, 2023. "US Labor Market after COVID19: An Interim Report," Economic Commentary, Federal Reserve Bank of Cleveland, vol. 2023(04), pages 17, February.
 John Mullahy, 2021. "Discovering treatment effectiveness via median treatment effects—Applications to COVID‐19 clinical trials," Health Economics, John Wiley & Sons, Ltd., vol. 30(5), pages 10501069, May.
 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.
 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 121144.
 Luciano de Castro & Antonio F. Galvao & David M. Kaplan & Xin Liu, 2018. "Smoothed GMM for quantile models," Working Papers 1803, Department of Economics, University of Missouri.
Cited by:
 Grigory Franguridi & Bulat Gafarov & Kaspar Wuthrich, 2020. "Bias correction for quantile regression estimators," Papers 2011.03073, arXiv.org, revised Dec 2022.
 Christophe Muller, 2019.
"Linear Quantile Regression and Endogeneity Correction,"
Working Papers
halshs02272874, HAL.
 Christophe Muller, 2019. "Linear Quantile Regression and Endogeneity Correction," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 9(5), pages 123128, August.
 Christophe Muller, 2019. "Linear Quantile Regression and Endogeneity Correction," AMSE Working Papers 1920, AixMarseille School of Economics, France.
 Christophe Muller, 2019. "Linear Quantile Regression and Endogeneity Correction," PostPrint hal02618513, HAL.
 Xin Liu, 2019.
"Averaging estimation for instrumental variables quantile regression,"
Papers
1910.04245, arXiv.org.
 Xin Liu, 2019. "Averaging estimation for instrumental variables quantile regression," Working Papers 1907, Department of Economics, University of Missouri.
 Javier Alejo & Antonio F. Galvao & Gabriel MontesRojas, 2020. "A firststage test for instrumental variables quantile regression," Asociación Argentina de Economía Política: Working Papers 4304, Asociación Argentina de Economía Política.
 David M. Kaplan, 2023.
"Smoothed instrumental variables quantile regression,"
Papers
2310.09013, arXiv.org.
 David M. Kaplan, 2022. "Smoothed instrumental variables quantile regression," Stata Journal, StataCorp LP, vol. 22(2), pages 379403, June.
 Firpo, Sergio & Galvao, Antonio F. & Pinto, Cristine & Poirier, Alexandre & Sanroman, Graciela, 2022. "GMM quantile regression," Journal of Econometrics, Elsevier, vol. 230(2), pages 432452.
 Hiroaki Kaido & Kaspar Wüthrich, 2018.
"Decentralization estimators for instrumental variable quantile regression models,"
CeMMAP working papers
CWP72/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
 Hiroaki Kaido & Kaspar Wüthrich, 2021. "Decentralization estimators for instrumental variable quantile regression models," Quantitative Economics, Econometric Society, vol. 12(2), pages 443475, May.
 Hiroaki Kaido & Kaspar Wuthrich, 2018. "Decentralization Estimators for Instrumental Variable Quantile Regression Models," Papers 1812.10925, arXiv.org, revised Sep 2020.
 Kaido, Hiroaki & Wüthrich, Kaspar, 2021. "Decentralization estimators for instrumental variable quantile regression models," University of California at San Diego, Economics Working Paper Series qt362921wv, Department of Economics, UC San Diego.
 Hiroaki Kaido & Kaspar Wüthrich, 2019. "Decentralization estimators for instrumental variable quantile regression models," CeMMAP working papers CWP42/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
 Javier Alejo & Gabriel MontesRojas, 2021. "Quantile Regression under Limited Dependent Variable," Papers 2112.06822, arXiv.org.
 Koki Fusejima, 2020. "Identification of multivalued treatment effects with unobserved heterogeneity," Papers 2010.04385, arXiv.org, revised Apr 2023.
 David Powell, 2022. "Quantile regression with nonadditive fixed effects," Empirical Economics, Springer, vol. 63(5), pages 26752691, November.
 He, Xuming & Pan, Xiaoou & Tan, Kean Ming & Zhou, WenXin, 2023. "Smoothed quantile regression with largescale inference," Journal of Econometrics, Elsevier, vol. 232(2), pages 367388.
 de Castro, Luciano & Galvao, Antonio F. & MontesRojas, Gabriel, 2020. "Quantile selection in nonlinear GMM quantile models," Economics Letters, Elsevier, vol. 195(C).
 Javier Alejo & Antonio F. Galvao & Gabriel MontesRojas, 2021. "A firststage representation for instrumental variables quantile regression," Papers 2102.01212, arXiv.org, revised Feb 2022.
 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.
 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 121144.
 Luciano de Castro & Antonio F. Galvao & David M. Kaplan & Xin Liu, 2018. "Smoothed GMM for quantile models," Working Papers 1803, Department of Economics, University of Missouri.
Cited by:
 Grigory Franguridi & Bulat Gafarov & Kaspar Wuthrich, 2020. "Bias correction for quantile regression estimators," Papers 2011.03073, arXiv.org, revised Dec 2022.
 Christophe Muller, 2019.
"Linear Quantile Regression and Endogeneity Correction,"
Working Papers
halshs02272874, HAL.
 Christophe Muller, 2019. "Linear Quantile Regression and Endogeneity Correction," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 9(5), pages 123128, August.
 Christophe Muller, 2019. "Linear Quantile Regression and Endogeneity Correction," AMSE Working Papers 1920, AixMarseille School of Economics, France.
 Christophe Muller, 2019. "Linear Quantile Regression and Endogeneity Correction," PostPrint hal02618513, HAL.
 Xin Liu, 2019.
"Averaging estimation for instrumental variables quantile regression,"
Papers
1910.04245, arXiv.org.
 Xin Liu, 2019. "Averaging estimation for instrumental variables quantile regression," Working Papers 1907, Department of Economics, University of Missouri.
 Javier Alejo & Antonio F. Galvao & Gabriel MontesRojas, 2020. "A firststage test for instrumental variables quantile regression," Asociación Argentina de Economía Política: Working Papers 4304, Asociación Argentina de Economía Política.
 David M. Kaplan, 2023.
"Smoothed instrumental variables quantile regression,"
Papers
2310.09013, arXiv.org.
 David M. Kaplan, 2022. "Smoothed instrumental variables quantile regression," Stata Journal, StataCorp LP, vol. 22(2), pages 379403, June.
 Firpo, Sergio & Galvao, Antonio F. & Pinto, Cristine & Poirier, Alexandre & Sanroman, Graciela, 2022. "GMM quantile regression," Journal of Econometrics, Elsevier, vol. 230(2), pages 432452.
 Hiroaki Kaido & Kaspar Wüthrich, 2018.
"Decentralization estimators for instrumental variable quantile regression models,"
CeMMAP working papers
CWP72/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
 Hiroaki Kaido & Kaspar Wüthrich, 2021. "Decentralization estimators for instrumental variable quantile regression models," Quantitative Economics, Econometric Society, vol. 12(2), pages 443475, May.
 Hiroaki Kaido & Kaspar Wuthrich, 2018. "Decentralization Estimators for Instrumental Variable Quantile Regression Models," Papers 1812.10925, arXiv.org, revised Sep 2020.
 Kaido, Hiroaki & Wüthrich, Kaspar, 2021. "Decentralization estimators for instrumental variable quantile regression models," University of California at San Diego, Economics Working Paper Series qt362921wv, Department of Economics, UC San Diego.
 Hiroaki Kaido & Kaspar Wüthrich, 2019. "Decentralization estimators for instrumental variable quantile regression models," CeMMAP working papers CWP42/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
 Javier Alejo & Gabriel MontesRojas, 2021. "Quantile Regression under Limited Dependent Variable," Papers 2112.06822, arXiv.org.
 Koki Fusejima, 2020. "Identification of multivalued treatment effects with unobserved heterogeneity," Papers 2010.04385, arXiv.org, revised Apr 2023.
 David Powell, 2022. "Quantile regression with nonadditive fixed effects," Empirical Economics, Springer, vol. 63(5), pages 26752691, November.
 He, Xuming & Pan, Xiaoou & Tan, Kean Ming & Zhou, WenXin, 2023. "Smoothed quantile regression with largescale inference," Journal of Econometrics, Elsevier, vol. 232(2), pages 367388.
 de Castro, Luciano & Galvao, Antonio F. & MontesRojas, Gabriel, 2020. "Quantile selection in nonlinear GMM quantile models," Economics Letters, Elsevier, vol. 195(C).
 Javier Alejo & Antonio F. Galvao & Gabriel MontesRojas, 2021. "A firststage representation for instrumental variables quantile regression," Papers 2102.01212, arXiv.org, revised Feb 2022.
 Matt Goldman & David M. Kaplan, 2016.
"Fractional order statistic approximation for nonparametric conditional quantile inference,"
Papers
1609.09035, arXiv.org.
 Goldman, Matt & Kaplan, David M., 2017. "Fractional order statistic approximation for nonparametric conditional quantile inference," Journal of Econometrics, Elsevier, vol. 196(2), pages 331346.
 David M. Kaplan & Matt Goldman, 2015. "Fractional order statistic approximation for nonparametric conditional quantile inference," Working Papers 1502, Department of Economics, University of Missouri.
Cited by:
 Matt Goldman & David M. Kaplan, 2017.
"Comparing distributions by multiple testing across quantiles or CDF values,"
Papers
1708.04658, arXiv.org.
 David M. Kaplan & Matt Goldman, 2018. "Comparing distributions by multiple testing across quantiles or CDF values," Working Papers 1801, Department of Economics, University of Missouri.
 David M. Kaplan & Matt Goldman, 2016. "Comparing distributions by multiple testing across quantiles or CDF values," Working Papers 1619, Department of Economics, University of Missouri, revised 22 Feb 2018.
 Goldman, Matt & Kaplan, David M., 2018. "Comparing distributions by multiple testing across quantiles or CDF values," Journal of Econometrics, Elsevier, vol. 206(1), pages 143166.
 David M. Kaplan & Lonnie Hofmann, 2019.
"Highorder coverage of smoothed Bayesian bootstrap intervals for population quantiles,"
Working Papers
1914, Department of Economics, University of Missouri, revised 19 Sep 2020.
 David M. Kaplan & Lonnie Hofmann, 2020. "Highorder coverage of smoothed Bayesian bootstrap intervals for population quantiles," Working Papers 2012, Department of Economics, University of Missouri.
 David M. Kaplan & Matt Goldman, 2015.
"Nonparametric inference on conditional quantile differences and linear combinations, using Lstatistics,"
Working Papers
1503, Department of Economics, University of Missouri.
 David M. Kaplan & Matt Goldman, 2016. "Nonparametric inference on conditional quantile differences and linear combinations, using Lstatistics," Working Papers 1620, Department of Economics, University of Missouri.
 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 136169, June.
 David M. Kaplan, 2013.
"Improved Quantile Inference Via FixedSmoothing Asymptotics And Edgeworth Expansion,"
Working Papers
1313, Department of Economics, University of Missouri.
 Kaplan, David M., 2015. "Improved quantile inference via fixedsmoothing asymptotics and Edgeworth expansion," Journal of Econometrics, Elsevier, vol. 185(1), pages 2032.
 Alan Hutson, 2018. "Comment on “What Do Interpolated Nonparametric Confidence Intervals for Population Quantiles Guarantee?”, Frey and Zhang (2017)," The American Statistician, Taylor & Francis Journals, vol. 72(3), pages 302302, July.
 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.
 David M. Kaplan & Matt Goldman, 2016. "Comparing distributions by multiple testing across quantiles or CDF values," Working Papers 1619, Department of Economics, University of Missouri, revised 22 Feb 2018.
 Goldman, Matt & Kaplan, David M., 2018. "Comparing distributions by multiple testing across quantiles or CDF values," Journal of Econometrics, Elsevier, vol. 206(1), pages 143166.
 Chaitra H. Nagaraja & Haikady N. Nagaraja, 2020. "Distribution‐free Approximate Methods for Constructing Confidence Intervals for Quantiles," International Statistical Review, International Statistical Institute, vol. 88(1), pages 75100, April.
 David M. Kaplan, 2014. "Nonparametric Inference on Quantile Marginal Effects," Working Papers 1413, Department of Economics, University of Missouri.
 David M. Kaplan & Longhao Zhuo, 2016.
"Frequentist size of Bayesian inequality tests,"
Papers
1607.00393, arXiv.org, revised Feb 2018.
 David M. Kaplan & Longhao Zhuo, 2017. "Frequentist size of Bayesian inequality tests," Working Papers 1709, Department of Economics, University of Missouri, revised 14 Jul 2019.
 David M. Kaplan & Longhao Zhuo, 2018. "Frequentist size of Bayesian inequality tests," Working Papers 1802, Department of Economics, University of Missouri, revised 14 Jul 2019.
Cited by:
 David M. Kaplan & Longhao Zhuo, 2019.
"Comparing latent inequality with ordinal data,"
Working Papers
1909, Department of Economics, University of Missouri.
 David M Kaplan & Wei Zhao, 2023. "Comparing latent inequality with ordinal data," The Econometrics Journal, Royal Economic Society, vol. 26(2), pages 189214.
 David M. Kaplan & Wei Zhao, 2022. "Comparing Latent Inequality with Ordinal Data," Working Papers 2206, Department of Economics, University of Missouri.
 David M. Kaplan & Longhao Zhuo, 2018. "Comparing latent inequality with ordinal data," Working Papers 1816, Department of Economics, University of Missouri, revised Feb 2019.
 Matt Goldman & David M. Kaplan, 2017.
"Comparing distributions by multiple testing across quantiles or CDF values,"
Papers
1708.04658, arXiv.org.
 David M. Kaplan & Matt Goldman, 2018. "Comparing distributions by multiple testing across quantiles or CDF values," Working Papers 1801, Department of Economics, University of Missouri.
 David M. Kaplan & Matt Goldman, 2016. "Comparing distributions by multiple testing across quantiles or CDF values," Working Papers 1619, Department of Economics, University of Missouri, revised 22 Feb 2018.
 Goldman, Matt & Kaplan, David M., 2018. "Comparing distributions by multiple testing across quantiles or CDF values," Journal of Econometrics, Elsevier, vol. 206(1), pages 143166.
 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.
 David M. Kaplan & Matt Goldman, 2016. "Comparing distributions by multiple testing across quantiles or CDF values," Working Papers 1619, Department of Economics, University of Missouri, revised 22 Feb 2018.
 Goldman, Matt & Kaplan, David M., 2018. "Comparing distributions by multiple testing across quantiles or CDF values," Journal of Econometrics, Elsevier, vol. 206(1), pages 143166.
 David M. Kaplan & Yixiao Sun, 2016.
"Smoothed estimating equations for instrumental variables quantile regression,"
Papers
1609.09033, arXiv.org.
 Kaplan, David M. & Sun, Yixiao, 2017. "Smoothed Estimating Equations For Instrumental Variables Quantile Regression," Econometric Theory, Cambridge University Press, vol. 33(1), pages 105157, February.
 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.
 David M. Kaplan & Yixiao Sun, 2013. "Smoothed Estimating Equations for Instrumental Variables Quantile Regression," Working Papers 1314, Department of Economics, University of Missouri.
Cited by:
 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.
 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 121144.
 Luciano de Castro & Antonio F. Galvao & David M. Kaplan & Xin Liu, 2018. "Smoothed GMM for quantile models," Working Papers 1803, Department of Economics, University of Missouri.
 Fengrui Di & Lei Wang, 2022. "Multiround smoothed composite quantile regression for distributed data," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 74(5), pages 869893, October.
 LeYu Chen & Sokbae (Simon) Lee, 2017.
"Exact computation of GMM estimators for instrumental variable quantile regression models,"
CeMMAP working papers
CWP52/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
 Le‐Yu Chen & Sokbae Lee, 2018. "Exact computation of GMM estimators for instrumental variable quantile regression models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(4), pages 553567, June.
 Grigory Franguridi & Bulat Gafarov & Kaspar Wuthrich, 2020. "Bias correction for quantile regression estimators," Papers 2011.03073, arXiv.org, revised Dec 2022.
 Santiago Pereda Fernández, 2019.
"Identification and estimation of triangular models with a binary treatment,"
Temi di discussione (Economic working papers)
1210, Bank of Italy, Economic Research and International Relations Area.
 PeredaFernández, Santiago, 2023. "Identification and estimation of triangular models with a binary treatment," Journal of Econometrics, Elsevier, vol. 234(2), pages 585623.
 Federico Favata & Sofia Zamparo, 2021. "Estimación del efecto de la segregación ocupacional por sexo en el ingreso laboral para Argentina (20162020)," Asociación Argentina de Economía Política: Working Papers 4467, Asociación Argentina de Economía Política.
 Marcelo Fernandes & Emmanuel Guerre & Eduardo Horta, 2021.
"Smoothing Quantile Regressions,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(1), pages 338357, January.
 Marcelo Fernandes & Emmanuel Guerre & Eduardo Horta, 2019. "Smoothing quantile regressions," Papers 1905.08535, arXiv.org, revised Aug 2019.
 Fernandes, Marcelo & Guerre, Emmanuel & Horta, Eduardo, 2017. "Smoothing quantile regressions," Textos para discussão 457, FGV EESP  Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
 Sodokin, Koffi & Djafon, Joseph Kokouvi & Dandonougbo, Yevessé & Akakpo, Afi & Couchoro, Mawuli K. & Agbodji, Akoété Ega, 2023. "Technological change, completeness of financing microstructures, and impact on wellbeing and income inequality," Telecommunications Policy, Elsevier, vol. 47(6).
 Bruins, Marianne & Duffy, James A. & Keane, Michael P. & Smith, Anthony A., 2018.
"Generalized indirect inference for discrete choice models,"
Journal of Econometrics, Elsevier, vol. 205(1), pages 177203.
 Anthony A. Smith, Jr. & Michael Keane, 2004. "Generalized Indirect Inference for Discrete Choice Models," Econometric Society 2004 North American Winter Meetings 512, Econometric Society.
 Marianne Bruins & James A. Duffy & Michael P. Keane & Anthony A. Smith, Jr, 2015. "Generalized Indirect Inference for Discrete Choice Models," Economics Papers 2015W08, Economics Group, Nuffield College, University of Oxford.
 Grigory Franguridi & Bulat Gafarov & Kaspar Wüthrich, 2021. "Conditional Quantile Estimators: A Small Sample Theory," CESifo Working Paper Series 9046, CESifo.
 Victor Chernozhukov & Christian Hansen & Kaspar Wuthrich, 2020. "Instrumental Variable Quantile Regression," Papers 2009.00436, arXiv.org.
 Yinchu Zhu, 2018. "Learning nonsmooth models: instrumental variable quantile regressions and related problems," Papers 1805.06855, arXiv.org, revised Sep 2019.
 Xin Liu, 2019.
"Averaging estimation for instrumental variables quantile regression,"
Papers
1910.04245, arXiv.org.
 Xin Liu, 2019. "Averaging estimation for instrumental variables quantile regression," Working Papers 1907, Department of Economics, University of Missouri.
 David M. Kaplan, 2019. "Unbiased Estimation as a Public Good," Working Papers 1911, Department of Economics, University of Missouri.
 Idrissa Ouedraogo & Issa Dianda & Pegdwende Patrik Ouedraogo & Rodrigue Tiraogo Ouedraogo & Bassirou Konfe, 2022. "The effects of taxation on income inequality in subSaharan Africa," WIDER Working Paper Series wp2022129, World Institute for Development Economic Research (UNUWIDER).
 Goldman, Matt & Kaplan, David M., 2017.
"Fractional order statistic approximation for nonparametric conditional quantile inference,"
Journal of Econometrics, Elsevier, vol. 196(2), pages 331346.
 Matt Goldman & David M. Kaplan, 2016. "Fractional order statistic approximation for nonparametric conditional quantile inference," Papers 1609.09035, arXiv.org.
 David M. Kaplan & Matt Goldman, 2015. "Fractional order statistic approximation for nonparametric conditional quantile inference," Working Papers 1502, Department of Economics, University of Missouri.
 David M. Kaplan, 2020.
"Inference on Consensus Ranking of Distributions,"
Working Papers
2010, Department of Economics, University of Missouri.
 David M. Kaplan, 2022. "Inference on Consensus Ranking of Distributions," Working Papers 2205, Department of Economics, University of Missouri.
 Borgen, Nicolai T. & Haupt, Andreas & Wiborg, Øyvind N., 2021. "Flexible and fast estimation of quantile treatment effects: The rqr and rqrplot commands," SocArXiv 4vquh, Center for Open Science.
 Su Liangjun & Tadao Hoshino, 2015.
"Sieve Instrumental Variable Quantile Regression Estimation of Functional Coefficient Models,"
Working Papers
012015, Singapore Management University, School of Economics.
 Su, Liangjun & Hoshino, Tadao, 2016. "Sieve instrumental variable quantile regression estimation of functional coefficient models," Journal of Econometrics, Elsevier, vol. 191(1), pages 231254.
 David M. Kaplan, 2020. "sivqr: Smoothed IV quantile regression," Working Papers 2009, Department of Economics, University of Missouri.
 Javier Alejo & Antonio F. Galvao & Gabriel MontesRojas, 2020. "A firststage test for instrumental variables quantile regression," Asociación Argentina de Economía Política: Working Papers 4304, Asociación Argentina de Economía Política.
 David M. Kaplan, 2023.
"Smoothed instrumental variables quantile regression,"
Papers
2310.09013, arXiv.org.
 David M. Kaplan, 2022. "Smoothed instrumental variables quantile regression," Stata Journal, StataCorp LP, vol. 22(2), pages 379403, June.
 Wüthrich, Kaspar, 2019.
"A closedform estimator for quantile treatment effects with endogeneity,"
Journal of Econometrics, Elsevier, vol. 210(2), pages 219235.
 Wüthrich, Kaspar, 2019. "A closedform estimator for quantile treatment effects with endogeneity," University of California at San Diego, Economics Working Paper Series qt99n9197q, Department of Economics, UC San Diego.
 Firpo, Sergio & Galvao, Antonio F. & Pinto, Cristine & Poirier, Alexandre & Sanroman, Graciela, 2022. "GMM quantile regression," Journal of Econometrics, Elsevier, vol. 230(2), pages 432452.
 Kaspar Wüthrich, 2014.
"A Comparison of two Quantile Models with Endogeneity,"
Diskussionsschriften
dp1408, Universitaet Bern, Departement Volkswirtschaft.
 Wüthrich, Kaspar, 2020. "A Comparison of Two Quantile Models With Endogeneity," University of California at San Diego, Economics Working Paper Series qt0q43931f, Department of Economics, UC San Diego.
 Kaspar Wüthrich, 2020. "A Comparison of Two Quantile Models With Endogeneity," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 443456, April.
 Hiroaki Kaido & Kaspar Wüthrich, 2018.
"Decentralization estimators for instrumental variable quantile regression models,"
CeMMAP working papers
CWP72/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
 Hiroaki Kaido & Kaspar Wüthrich, 2021. "Decentralization estimators for instrumental variable quantile regression models," Quantitative Economics, Econometric Society, vol. 12(2), pages 443475, May.
 Hiroaki Kaido & Kaspar Wuthrich, 2018. "Decentralization Estimators for Instrumental Variable Quantile Regression Models," Papers 1812.10925, arXiv.org, revised Sep 2020.
 Kaido, Hiroaki & Wüthrich, Kaspar, 2021. "Decentralization estimators for instrumental variable quantile regression models," University of California at San Diego, Economics Working Paper Series qt362921wv, Department of Economics, UC San Diego.
 Hiroaki Kaido & Kaspar Wüthrich, 2019. "Decentralization estimators for instrumental variable quantile regression models," CeMMAP working papers CWP42/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
 JeanJacques Forneron, 2023. "Noisy, NonSmooth, NonConvex Estimation of Moment Condition Models," Papers 2301.07196, arXiv.org, revised Feb 2023.
 Javier Alejo & Gabriel MontesRojas, 2021. "Quantile Regression under Limited Dependent Variable," Papers 2112.06822, arXiv.org.
 Lorenzo Tedesco & Jad Beyhum & Ingrid Van Keilegom, 2023. "Instrumental variable estimation of the proportional hazards model by presmoothing," Papers 2309.02183, arXiv.org.
 Kaspar Wüthrich, 2015. "Semiparametric estimation of quantile treatment effects with endogeneity," Diskussionsschriften dp1509, Universitaet Bern, Departement Volkswirtschaft.
 Machado, José A.F. & Santos Silva, J.M.C., 2019. "Quantiles via moments," Journal of Econometrics, Elsevier, vol. 213(1), pages 145173.
 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.
 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 121144.
 Luciano de Castro & Antonio F. Galvao & David M. Kaplan & Xin Liu, 2018. "Smoothed GMM for quantile models," Working Papers 1803, Department of Economics, University of Missouri.
 He, Xuming & Pan, Xiaoou & Tan, Kean Ming & Zhou, WenXin, 2023. "Smoothed quantile regression with largescale inference," Journal of Econometrics, Elsevier, vol. 232(2), pages 367388.
 Huan, Meili & Dong, Fengxia, 2023. "Sustainable Agricultural Practices and Crop Yield in China’s Maize Production," 2023 Annual Meeting, July 2325, Washington D.C. 335656, Agricultural and Applied Economics Association.
 Armstrong, Christopher S. & Blouin, Jennifer L. & Jagolinzer, Alan D. & Larcker, David F., 2015. "Corporate governance, incentives, and tax avoidance," Journal of Accounting and Economics, Elsevier, vol. 60(1), pages 117.
 TaeHwy Lee & Aman Ullah & He Wang, 2023. "The Secondorder Bias and Mean Squared Error of Quantile Regression Estimators," Working Papers 202313, University of California at Riverside, Department of Economics.
 de Castro, Luciano & Galvao, Antonio F. & MontesRojas, Gabriel, 2020. "Quantile selection in nonlinear GMM quantile models," Economics Letters, Elsevier, vol. 195(C).
 Javier Alejo & Antonio F. Galvao & Gabriel MontesRojas, 2021. "A firststage representation for instrumental variables quantile regression," Papers 2102.01212, arXiv.org, revised Feb 2022.
 David M. Kaplan & Matt Goldman, 2015.
"Nonparametric inference on conditional quantile differences and linear combinations, using Lstatistics,"
Working Papers
1503, Department of Economics, University of Missouri.
 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 136169, June.
 David M. Kaplan & Matt Goldman, 2016. "Nonparametric inference on conditional quantile differences and linear combinations, using Lstatistics," Working Papers 1620, Department of Economics, University of Missouri.
Cited by:
 Mototsugu Fukushige & Yingxin Shi, 2022. "Quantile regression approach for measuring production inefficiency with empirical application to the primary production sector for the Xinjiang Production and Construction Corps in China," AsiaPacific Journal of Regional Science, Springer, vol. 6(2), pages 777805, June.
 Matt Goldman & David M. Kaplan, 2017.
"Comparing distributions by multiple testing across quantiles or CDF values,"
Papers
1708.04658, arXiv.org.
 David M. Kaplan & Matt Goldman, 2018. "Comparing distributions by multiple testing across quantiles or CDF values," Working Papers 1801, Department of Economics, University of Missouri.
 David M. Kaplan & Matt Goldman, 2016. "Comparing distributions by multiple testing across quantiles or CDF values," Working Papers 1619, Department of Economics, University of Missouri, revised 22 Feb 2018.
 Goldman, Matt & Kaplan, David M., 2018. "Comparing distributions by multiple testing across quantiles or CDF values," Journal of Econometrics, Elsevier, vol. 206(1), pages 143166.
 David M. Kaplan & Lonnie Hofmann, 2019.
"Highorder coverage of smoothed Bayesian bootstrap intervals for population quantiles,"
Working Papers
1914, Department of Economics, University of Missouri, revised 19 Sep 2020.
 David M. Kaplan & Lonnie Hofmann, 2020. "Highorder coverage of smoothed Bayesian bootstrap intervals for population quantiles," Working Papers 2012, Department of Economics, University of Missouri.
 David M. Kaplan, 2013.
"Improved Quantile Inference Via FixedSmoothing Asymptotics And Edgeworth Expansion,"
Working Papers
1313, Department of Economics, University of Missouri.
 Kaplan, David M., 2015. "Improved quantile inference via fixedsmoothing asymptotics and Edgeworth expansion," Journal of Econometrics, Elsevier, vol. 185(1), pages 2032.
 Goldman, Matt & Kaplan, David M., 2017.
"Fractional order statistic approximation for nonparametric conditional quantile inference,"
Journal of Econometrics, Elsevier, vol. 196(2), pages 331346.
 Matt Goldman & David M. Kaplan, 2016. "Fractional order statistic approximation for nonparametric conditional quantile inference," Papers 1609.09035, arXiv.org.
 David M. Kaplan & Matt Goldman, 2015. "Fractional order statistic approximation for nonparametric conditional quantile inference," Working Papers 1502, Department of Economics, University of Missouri.
 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.
 David M. Kaplan & Matt Goldman, 2016. "Comparing distributions by multiple testing across quantiles or CDF values," Working Papers 1619, Department of Economics, University of Missouri, revised 22 Feb 2018.
 Goldman, Matt & Kaplan, David M., 2018. "Comparing distributions by multiple testing across quantiles or CDF values," Journal of Econometrics, Elsevier, vol. 206(1), pages 143166.
 David M. Kaplan, 2014. "Nonparametric Inference on Quantile Marginal Effects," Working Papers 1413, Department of Economics, University of Missouri.
 David M. Kaplan & Longhao Zhuo, 2015.
"Bayesian and frequentist inequality tests,"
Working Papers
1516, Department of Economics, University of Missouri, revised Feb 2018.
 David M. Kaplan & Longhao Zhuo, 2017. "Frequentist size of Bayesian inequality tests," Working Papers 1709, Department of Economics, University of Missouri, revised 14 Jul 2019.
 David M. Kaplan & Longhao Zhuo, 2018. "Frequentist size of Bayesian inequality tests," Working Papers 1802, Department of Economics, University of Missouri, revised 14 Jul 2019.
 David M. Kaplan & Longhao Zhuo, 2019. "Frequentist properties of Bayesian inequality tests," Working Papers 1910, Department of Economics, University of Missouri.
Cited by:
 David M. Kaplan & Longhao Zhuo, 2019.
"Comparing latent inequality with ordinal data,"
Working Papers
1909, Department of Economics, University of Missouri.
 David M Kaplan & Wei Zhao, 2023. "Comparing latent inequality with ordinal data," The Econometrics Journal, Royal Economic Society, vol. 26(2), pages 189214.
 David M. Kaplan & Wei Zhao, 2022. "Comparing Latent Inequality with Ordinal Data," Working Papers 2206, Department of Economics, University of Missouri.
 David M. Kaplan & Longhao Zhuo, 2018. "Comparing latent inequality with ordinal data," Working Papers 1816, Department of Economics, University of Missouri, revised Feb 2019.
 Matt Goldman & David M. Kaplan, 2017.
"Comparing distributions by multiple testing across quantiles or CDF values,"
Papers
1708.04658, arXiv.org.
 David M. Kaplan & Matt Goldman, 2018. "Comparing distributions by multiple testing across quantiles or CDF values," Working Papers 1801, Department of Economics, University of Missouri.
 David M. Kaplan & Matt Goldman, 2016. "Comparing distributions by multiple testing across quantiles or CDF values," Working Papers 1619, Department of Economics, University of Missouri, revised 22 Feb 2018.
 Goldman, Matt & Kaplan, David M., 2018. "Comparing distributions by multiple testing across quantiles or CDF values," Journal of Econometrics, Elsevier, vol. 206(1), pages 143166.
 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.
 David M. Kaplan & Matt Goldman, 2016. "Comparing distributions by multiple testing across quantiles or CDF values," Working Papers 1619, Department of Economics, University of Missouri, revised 22 Feb 2018.
 Goldman, Matt & Kaplan, David M., 2018. "Comparing distributions by multiple testing across quantiles or CDF values," Journal of Econometrics, Elsevier, vol. 206(1), pages 143166.
 David M. Kaplan, 2014.
"Nonparametric Inference on Quantile Marginal Effects,"
Working Papers
1413, Department of Economics, University of Missouri.
Cited by:
 David M. Kaplan & Matt Goldman, 2015.
"Nonparametric inference on conditional quantile differences and linear combinations, using Lstatistics,"
Working Papers
1503, Department of Economics, University of Missouri.
 David M. Kaplan & Matt Goldman, 2016. "Nonparametric inference on conditional quantile differences and linear combinations, using Lstatistics," Working Papers 1620, Department of Economics, University of Missouri.
 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 136169, June.
 Goldman, Matt & Kaplan, David M., 2017.
"Fractional order statistic approximation for nonparametric conditional quantile inference,"
Journal of Econometrics, Elsevier, vol. 196(2), pages 331346.
 Matt Goldman & David M. Kaplan, 2016. "Fractional order statistic approximation for nonparametric conditional quantile inference," Papers 1609.09035, arXiv.org.
 David M. Kaplan & Matt Goldman, 2015. "Fractional order statistic approximation for nonparametric conditional quantile inference," Working Papers 1502, Department of Economics, University of Missouri.
 David M. Kaplan & Matt Goldman, 2015.
"Nonparametric inference on conditional quantile differences and linear combinations, using Lstatistics,"
Working Papers
1503, Department of Economics, University of Missouri.
 David M. Kaplan & Matt Goldman, 2013.
"IDEAL Quantile Inference via Interpolated Duals of Exact Analytic Lstatistics,"
Working Papers
1315, Department of Economics, University of Missouri.
Cited by:
 David M. Kaplan, 2013. "IDEAL Inference on Conditional Quantiles via Interpolated Duals of Exact Analytic Lstatistics," Working Papers 1316, Department of Economics, University of Missouri.
 David M. Kaplan, 2013.
"Improved Quantile Inference Via FixedSmoothing Asymptotics And Edgeworth Expansion,"
Working Papers
1313, Department of Economics, University of Missouri.
 Kaplan, David M., 2015. "Improved quantile inference via fixedsmoothing asymptotics and Edgeworth expansion," Journal of Econometrics, Elsevier, vol. 185(1), pages 2032.
 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.
 David M. Kaplan & Matt Goldman, 2016. "Comparing distributions by multiple testing across quantiles or CDF values," Working Papers 1619, Department of Economics, University of Missouri, revised 22 Feb 2018.
 Goldman, Matt & Kaplan, David M., 2018. "Comparing distributions by multiple testing across quantiles or CDF values," Journal of Econometrics, Elsevier, vol. 206(1), pages 143166.
 David M. Kaplan, 2013.
"IDEAL Inference on Conditional Quantiles via Interpolated Duals of Exact Analytic Lstatistics,"
Working Papers
1316, Department of Economics, University of Missouri.
Cited by:
 Fan, Yanqin & Liu, Ruixuan, 2016. "A direct approach to inference in nonparametric and semiparametric quantile models," Journal of Econometrics, Elsevier, vol. 191(1), pages 196216.
 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.
 Goldman, Matt & Kaplan, David M., 2018. "Comparing distributions by multiple testing across quantiles or CDF values," Journal of Econometrics, Elsevier, vol. 206(1), pages 143166.
 David M. Kaplan & Matt Goldman, 2016. "Comparing distributions by multiple testing across quantiles or CDF values," Working Papers 1619, Department of Economics, University of Missouri, revised 22 Feb 2018.
Cited by:
 John Mullahy, 2020. "Discovering Treatment Effectiveness via Median Treatment Effects—Applications to COVID19 Clinical Trials," NBER Working Papers 27895, National Bureau of Economic Research, Inc.
 Gedikli, Cigdem & Popli, Gurleen & Yilmaz, Okan, 2023. "The impact of intimate partner violence on women’s labour market outcomes," World Development, Elsevier, vol. 164(C).
 David M. Kaplan & Matt Goldman, 2015.
"Nonparametric inference on conditional quantile differences and linear combinations, using Lstatistics,"
Working Papers
1503, Department of Economics, University of Missouri.
 David M. Kaplan & Matt Goldman, 2016. "Nonparametric inference on conditional quantile differences and linear combinations, using Lstatistics," Working Papers 1620, Department of Economics, University of Missouri.
 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 136169, June.
 Fasianos, Apostolos & Evgenidis, Anastasios, 2020.
"Unconventional Monetary Policy and Wealth Inequalities in Great Britain,"
CEPR Discussion Papers
14656, C.E.P.R. Discussion Papers.
 Anastasios Evgenidis & Apostolos Fasianos, 2021. "Unconventional Monetary Policy and Wealth Inequalities in Great Britain," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(1), pages 115175, February.
 David M. Kaplan, 2018.
"distcomp: Comparing distributions,"
Working Papers
1817, Department of Economics, University of Missouri.
 David M. Kaplan, 2021. "Distcomp: Comparing distributions," Papers 2110.02327, arXiv.org.
 David M. Kaplan, 2019. "distcomp: Comparing distributions," Stata Journal, StataCorp LP, vol. 19(4), pages 832848, December.
 David M. Kaplan, 2019. "distcomp: Comparing distributions," Working Papers 1908, Department of Economics, University of Missouri.
 David Kaplan, 2021. "distcomp: Comparing distributions," 2021 Stata Conference 2, Stata Users Group.
 David M. Kaplan & Longhao Zhuo, 2018.
"Frequentist size of Bayesian inequality tests,"
Working Papers
1802, Department of Economics, University of Missouri, revised 14 Jul 2019.
 David M. Kaplan & Longhao Zhuo, 2017. "Frequentist size of Bayesian inequality tests," Working Papers 1709, Department of Economics, University of Missouri, revised 14 Jul 2019.
 David M. Kaplan & Longhao Zhuo, 2016. "Frequentist size of Bayesian inequality tests," Papers 1607.00393, arXiv.org, revised Feb 2018.
 David M. Kaplan & Longhao Zhuo, 2015. "Bayesian and frequentist inequality tests," Working Papers 1516, Department of Economics, University of Missouri, revised Feb 2018.
 David M. Kaplan & Longhao Zhuo, 2019. "Frequentist properties of Bayesian inequality tests," Working Papers 1910, Department of Economics, University of Missouri.
 Goldman, Matt & Kaplan, David M., 2017.
"Fractional order statistic approximation for nonparametric conditional quantile inference,"
Journal of Econometrics, Elsevier, vol. 196(2), pages 331346.
 Matt Goldman & David M. Kaplan, 2016. "Fractional order statistic approximation for nonparametric conditional quantile inference," Papers 1609.09035, arXiv.org.
 David M. Kaplan & Matt Goldman, 2015. "Fractional order statistic approximation for nonparametric conditional quantile inference," Working Papers 1502, Department of Economics, University of Missouri.
 Huang, Wei & Li, Teng & Pan, Yinghao & Ren, Jinyang, 2021. "Teacher Characteristics and Student Performance: Evidence from Random TeacherStudent Assignments in China," IZA Discussion Papers 14184, Institute of Labor Economics (IZA).
 David M. Kaplan, 2020.
"Inference on Consensus Ranking of Distributions,"
Working Papers
2010, Department of Economics, University of Missouri.
 David M. Kaplan, 2022. "Inference on Consensus Ranking of Distributions," Working Papers 2205, Department of Economics, University of Missouri.
 Comin, Diego & Cirera, Xavi & Cruz, Marcio & Lee, Kyung Min, 2020.
"Anatomy of Technology in the Firm,"
CEPR Discussion Papers
15427, C.E.P.R. Discussion Papers.
 Xavier Cirera & Diego A. Comin & Marcio Cruz & Kyung Min Lee, 2020. "Anatomy of Technology in the Firm," NBER Working Papers 28080, National Bureau of Economic Research, Inc.
 Chung, EunYi & Olivares, Mauricio, 2021. "Permutation test for heterogeneous treatment effects with a nuisance parameter," Journal of Econometrics, Elsevier, vol. 225(2), pages 148174.
 Dennis Wesselbaum, 2023. "Understanding the Drivers of the Gender Productivity Gap in the Economics Profession," The American Economist, Sage Publications, vol. 68(1), pages 6173, March.
 Heyman, Fredrik & Norbäck, PehrJohan & Persson, Lars, 2017.
"Talent, Career Choice and Competition: The Gender Wage Gap at the Top,"
Working Paper Series
1169, Research Institute of Industrial Economics, revised 06 Mar 2023.
 Fredrik Heyman & PehrJohan Norbäck & Lars Persson, 2020. "Talent, Career Choice and Competition: The Gender Wage Gap at the Top," CESifo Working Paper Series 8657, CESifo.
 Cirera,Xavier & Comin,Diego Adolfo & Vargas Da Cruz,Marcio Jose & Lee,Kyungmin, 2020. "Technology Within and Across Firms," Policy Research Working Paper Series 9476, The World Bank.
 Wang, Duoyu & Cleary, Rebecca, 2023. "What contributes to the gap in nutritional quality across food security status?," 2023 Annual Meeting, July 2325, Washington D.C. 335552, Agricultural and Applied Economics Association.
 Klenio Barbosa & Dakshina De Silva & Liyu Yang & Hisayuki Yoshimoto, 2020. "Bond Losses and Systemic Risk," Working Papers 288072615, Lancaster University Management School, Economics Department.
 Martin DeLuca & Roberto Pinheiro, 2023. "US Labor Market after COVID19: An Interim Report," Economic Commentary, Federal Reserve Bank of Cleveland, vol. 2023(04), pages 17, February.
 John Mullahy, 2021. "Discovering treatment effectiveness via median treatment effects—Applications to COVID‐19 clinical trials," Health Economics, John Wiley & Sons, Ltd., vol. 30(5), pages 10501069, May.
 David M. Kaplan, 2013.
"Improved Quantile Inference Via FixedSmoothing Asymptotics And Edgeworth Expansion,"
Working Papers
1313, Department of Economics, University of Missouri.
 Kaplan, David M., 2015. "Improved quantile inference via fixedsmoothing asymptotics and Edgeworth expansion," Journal of Econometrics, Elsevier, vol. 185(1), pages 2032.
Cited by:
 David M. Kaplan & Matt Goldman, 2015.
"Nonparametric inference on conditional quantile differences and linear combinations, using Lstatistics,"
Working Papers
1503, Department of Economics, University of Missouri.
 David M. Kaplan & Matt Goldman, 2016. "Nonparametric inference on conditional quantile differences and linear combinations, using Lstatistics," Working Papers 1620, Department of Economics, University of Missouri.
 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 136169, June.
 Goldman, Matt & Kaplan, David M., 2017.
"Fractional order statistic approximation for nonparametric conditional quantile inference,"
Journal of Econometrics, Elsevier, vol. 196(2), pages 331346.
 Matt Goldman & David M. Kaplan, 2016. "Fractional order statistic approximation for nonparametric conditional quantile inference," Papers 1609.09035, arXiv.org.
 David M. Kaplan & Matt Goldman, 2015. "Fractional order statistic approximation for nonparametric conditional quantile inference," Working Papers 1502, Department of Economics, University of Missouri.
 Dominique Guegan & Bertrand K. Hassani & Kehan Li, 2016. "A robust confidence interval of historical ValueatRisk for small sample," Documents de travail du Centre d'Economie de la Sorbonne 16034, Université PanthéonSorbonne (Paris 1), Centre d'Economie de la Sorbonne.
 Chaitra H. Nagaraja & Haikady N. Nagaraja, 2020. "Distribution‐free Approximate Methods for Constructing Confidence Intervals for Quantiles," International Statistical Review, International Statistical Institute, vol. 88(1), pages 75100, April.
 David M. Kaplan, 2014. "Nonparametric Inference on Quantile Marginal Effects," Working Papers 1413, Department of Economics, University of Missouri.
 Dominique Guegan & Bertrand Hassani & Kehan Li, 2017. "Measuring risks in the extreme tail: The extreme VaR and its confidence interval," Université Paris1 PanthéonSorbonne (PostPrint and Working Papers) halshs01317391, HAL.
 Dominique Guegan & Bertrand K. Hassani & Kehan Li, 2016. "Capturing the intrinsic uncertainty of the VaR: Spectrum representation of a saddlepoint approximation for an estimator of the VaR," Documents de travail du Centre d'Economie de la Sorbonne 16034r, Université PanthéonSorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Jul 2016.
 Sun, Yixiao & Kaplan, David M., 2011.
"A New Asymptotic Theory for Vector Autoregressive Longrun Variance Estimation and Autocorrelation Robust Testing,"
University of California at San Diego, Economics Working Paper Series
qt8cx0t4gc, Department of Economics, UC San Diego.
Cited by:
 Kim, Min Seong & Sun, Yixiao, 2013.
"Heteroskedasticity and spatiotemporal dependence robust inference for linear panel models with fixed effects,"
Journal of Econometrics, Elsevier, vol. 177(1), pages 85108.
 Min Seong Kim & Yixiao Sun, 2011. "Heteroskedasticity and Spatiotemporal Dependence Robust Inference for Linear Panel Models with Fixed Effects," Working Papers 029, Ryerson University, Department of Economics.
 Sun, Yixiao, 2013. "Fixedsmoothing Asymptotics in a Twostep GMM Framework," University of California at San Diego, Economics Working Paper Series qt64x4z265, Department of Economics, UC San Diego.
 David M. Kaplan, 2013.
"Improved Quantile Inference Via FixedSmoothing Asymptotics And Edgeworth Expansion,"
Working Papers
1313, Department of Economics, University of Missouri.
 Kaplan, David M., 2015. "Improved quantile inference via fixedsmoothing asymptotics and Edgeworth expansion," Journal of Econometrics, Elsevier, vol. 185(1), pages 2032.
 Yang, Jingjing & Vogelsang, Timothy J., 2018. "Finite sample performance of a long run variance estimator based on exactly (almost) unbiased autocovariance estimators," Economics Letters, Elsevier, vol. 165(C), pages 2127.
 Kim, Min Seong & Sun, Yixiao, 2013.
"Heteroskedasticity and spatiotemporal dependence robust inference for linear panel models with fixed effects,"
Journal of Econometrics, Elsevier, vol. 177(1), pages 85108.
Articles
 David M Kaplan & Wei Zhao, 2023.
"Comparing latent inequality with ordinal data,"
The Econometrics Journal, Royal Economic Society, vol. 26(2), pages 189214.
See citations under working paper version above.
 David M. Kaplan & Longhao Zhuo, 2019. "Comparing latent inequality with ordinal data," Working Papers 1909, Department of Economics, University of Missouri.
 David M. Kaplan & Wei Zhao, 2022. "Comparing Latent Inequality with Ordinal Data," Working Papers 2206, Department of Economics, University of Missouri.
 David M. Kaplan & Longhao Zhuo, 2018. "Comparing latent inequality with ordinal data," Working Papers 1816, Department of Economics, University of Missouri, revised Feb 2019.
 David M. Kaplan, 2022.
"Smoothed instrumental variables quantile regression,"
Stata Journal, StataCorp LP, vol. 22(2), pages 379403, June.
See citations under working paper version above.
 David M. Kaplan, 2023. "Smoothed instrumental variables quantile regression," Papers 2310.09013, arXiv.org.
 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 121144.
See citations under working paper version above.
 Luciano de Castro & Antonio F. Galvao & David M. Kaplan & Xin Liu, 2018. "Smoothed GMM for quantile models," Working Papers 1803, Department of Economics, University of Missouri.
 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.
 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.
 David M. Kaplan, 2019.
"distcomp: Comparing distributions,"
Stata Journal, StataCorp LP, vol. 19(4), pages 832848, December.
See citations under working paper version above.
 David M. Kaplan, 2021. "Distcomp: Comparing distributions," Papers 2110.02327, arXiv.org.
 David M. Kaplan, 2019. "distcomp: Comparing distributions," Working Papers 1908, Department of Economics, University of Missouri.
 David Kaplan, 2021. "distcomp: Comparing distributions," 2021 Stata Conference 2, Stata Users Group.
 David M. Kaplan, 2018. "distcomp: Comparing distributions," Working Papers 1817, Department of Economics, University of Missouri.
 Goldman, Matt & Kaplan, David M., 2018.
"Comparing distributions by multiple testing across quantiles or CDF values,"
Journal of Econometrics, Elsevier, vol. 206(1), pages 143166.
See citations under working paper version above.
 David M. Kaplan & Matt Goldman, 2018. "Comparing distributions by multiple testing across quantiles or CDF values," Working Papers 1801, Department of Economics, University of Missouri.
 David M. Kaplan & Matt Goldman, 2016. "Comparing distributions by multiple testing across quantiles or CDF values," Working Papers 1619, Department of Economics, University of Missouri, revised 22 Feb 2018.
 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.
 Matt Goldman & David M. Kaplan, 2017. "Comparing distributions by multiple testing across quantiles or CDF values," Papers 1708.04658, arXiv.org.
 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 136169, June.
See citations under working paper version above.
 David M. Kaplan & Matt Goldman, 2015. "Nonparametric inference on conditional quantile differences and linear combinations, using Lstatistics," Working Papers 1503, Department of Economics, University of Missouri.
 Goldman, Matt & Kaplan, David M., 2017.
"Fractional order statistic approximation for nonparametric conditional quantile inference,"
Journal of Econometrics, Elsevier, vol. 196(2), pages 331346.
See citations under working paper version above.
 Matt Goldman & David M. Kaplan, 2016. "Fractional order statistic approximation for nonparametric conditional quantile inference," Papers 1609.09035, arXiv.org.
 David M. Kaplan & Matt Goldman, 2015. "Fractional order statistic approximation for nonparametric conditional quantile inference," Working Papers 1502, Department of Economics, University of Missouri.
 Kaplan, David M. & Sun, Yixiao, 2017.
"Smoothed Estimating Equations For Instrumental Variables Quantile Regression,"
Econometric Theory, Cambridge University Press, vol. 33(1), pages 105157, February.
See citations under working paper version above.
 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.
 David M. Kaplan & Yixiao Sun, 2016. "Smoothed estimating equations for instrumental variables quantile regression," Papers 1609.09033, arXiv.org.
 David M. Kaplan & Yixiao Sun, 2013. "Smoothed Estimating Equations for Instrumental Variables Quantile Regression," Working Papers 1314, Department of Economics, University of Missouri.
 Kaplan, David M., 2015.
"Improved quantile inference via fixedsmoothing asymptotics and Edgeworth expansion,"
Journal of Econometrics, Elsevier, vol. 185(1), pages 2032.
See citations under working paper version above.Sorry, no citations of articles recorded.
 David M. Kaplan, 2013. "Improved Quantile Inference Via FixedSmoothing Asymptotics And Edgeworth Expansion," Working Papers 1313, Department of Economics, University of Missouri.
Software components

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NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 29 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. NEPECM: Econometrics (22) 20140628 20140628 20140628 20140628 20140628 20140905 20150222 20150228 20151121 20170723 20180305 20180326 20180326 20181217 20191014 20191021 20191118 20201019 20201214 20201214 20210614 20230710. Author is listed
 NEPUPT: Utility Models & Prospect Theory (6) 20170723 20180305 20180326 20201214 20220829 20230710. Author is listed
 NEPORE: Operations Research (5) 20191021 20201214 20201214 20201214 20201214. Author is listed
 NEPHEA: Health Economics (2) 20181217 20191014
 NEPISF: Islamic Finance (1) 20210830
 NEPPBE: Public Economics (1) 20140628
 NEPRMG: Risk Management (1) 20201019
 NEPSEA: South East Asia (1) 20140628
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