IDEAS home Printed from https://ideas.repec.org/f/c/pka649.html
   My authors  Follow this author

David M. Kaplan

Not to be confused with: David Scott Kaplan

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

  1. Qian Wu & David M. Kaplan, 2025. "Multiple Testing of Stochastic Monotonicity," Working Papers 2511, Department of Economics, University of Missouri.

    Cited by:

    1. Wu, Qian & Kaplan, David M., 2025. "Regression and decomposition with ordinal health outcomes," Journal of Health Economics, Elsevier, vol. 102(C).

  2. David M. Kaplan & Wei Zhao, 2025. "Comparing latent inequality with ordinal data," Papers 2501.05338, arXiv.org.

    Cited by:

    1. Shuo Liu & Nick Netzer, 2023. "Happy Times: Measuring Happiness Using Response Times," CESifo Working Paper Series 10360, CESifo.
    2. Wu, Qian & Kaplan, David M., 2025. "Regression and decomposition with ordinal health outcomes," Journal of Health Economics, Elsevier, vol. 102(C).
    3. Arthur Grimes & Stephen P. Jenkins & Florencia Tranquilli, 2020. "The Relationship between Subjective Wellbeing and Subjective Wellbeing Inequality: Taking Ordinality and Skewness Seriously," Motu Working Papers 20_09, Motu Economic and Public Policy Research.
    4. 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.
    5. 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.
    6. 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.
    7. Kaplan, David M. & Zhuo, Longhao, 2021. "Frequentist properties of Bayesian inequality tests," Journal of Econometrics, Elsevier, vol. 221(1), pages 312-336.
    8. 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 309-330, January.

  3. David M. Kaplan, 2024. "Inference on Consensus Ranking of Distributions," Papers 2408.13949, arXiv.org.

    Cited by:

    1. David M. Kaplan & Wei Zhao, 2025. "Comparing latent inequality with ordinal data," Papers 2501.05338, arXiv.org.
    2. 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.

  4. David M. Kaplan, 2023. "Smoothed instrumental variables quantile regression," Papers 2310.09013, arXiv.org.

    Cited by:

    1. Sultanuzzaman, Md Reza & Yahya, Farzan & Lee, Chien-Chiang, 2024. "Exploring the complex interplay of green finance, business cycles, and energy development," Energy, Elsevier, vol. 306(C).
    2. Bhalotra, Sonia R. & Daysal, N. Meltem & Trandafir, Mircea, 2025. "Antidepressant Treatment in Childhood," IZA Discussion Papers 18069, Institute of Labor Economics (IZA).
    3. David Kang & Seojeong Lee, 2025. "Misspecification-Robust Asymptotic and Bootstrap Inference for Nonsmooth GMM," Working Papers 423284005, Lancaster University Management School, Economics Department.
    4. Bakouan, Pousseni & Sawadogo, Relwendé, 2024. "BioTrade and income inequality: Does frontier technology readiness matter?," Structural Change and Economic Dynamics, Elsevier, vol. 70(C), pages 650-665.
    5. Ozturk, Ilhan & Ullah, Sana & Sohail, Sidra & Sohail, Muhammad Tayyab, 2025. "How do digital government, circular economy, and environmental regulatory stringency affect renewable energy production?," Energy Policy, Elsevier, vol. 203(C).
    6. Dooyeon Cho & Seunghwa Rho, 2024. "Reassessing growth vulnerability," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(1), pages 225-234, January.
    7. Chien-Chiang Lee & Farzan Yahya & Md Reza Sultanuzzaman, 2024. "Monetary Policy Uncertainty And Agricultural Climate Risk: Does The Agricultural Kuznets Curve Exist?," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 27(4), pages 631-654, December.
    8. Yahya, Farzan & Lee, Chien-Chiang, 2023. "Disentangling the asymmetric effect of financialization on the green output gap," Energy Economics, Elsevier, vol. 125(C).
    9. 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 23-25, Washington D.C. 335614, Agricultural and Applied Economics Association.
    10. Jinglin Feng & Linlin Fan & Edward C. Jaenicke, 2024. "The distributional impact of SNAP on dietary quality," Agricultural Economics, International Association of Agricultural Economists, vol. 55(1), pages 104-139, January.
    11. Afi Florence Akakpo & Koffi Sodokin & Mawuli Kodjovi Couchoro, 2025. "Social capital, gender‐based resilience, and well‐being among urban and rural households in Togo," Journal of International Development, John Wiley & Sons, Ltd., vol. 37(1), pages 251-299, January.
    12. Koffi Sodokin & Joseph Kokouvi Djafon & Mawuli Kodjovi Couchoro & Yao Mensah Kounetsron & Akoété Ega Agbodji, 2023. "Technological change, the productivity of formal and informal businesses, and the impact on labor market," Cogent Economics & Finance, Taylor & Francis Journals, vol. 11(2), pages 2268790-226, October.
    13. Divya Balasubramaniam, 2025. "Children’s linear growth and mother’s education in India: Do the pathways have a role to play?," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 72(2), pages 1-29, December.
    14. 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 well-being and income inequality," Telecommunications Policy, Elsevier, vol. 47(6).
    15. Alishba Hania & Chien-Chiang Lee & Farzan Yahya, 2025. "Climate anxiety, economic policy uncertainty, and green growth," Economic Change and Restructuring, Springer, vol. 58(1), pages 1-34, February.
    16. Hie Joo Ahn & Lam Nguyen, 2025. "Who's at Risk? Effects of Inflation on Unemployment Risk," Papers 2505.05757, arXiv.org.
    17. Andriy Tsapin & Oleksandr Faryna, 2024. "The Role of Financial Literacy in Anchoring Inflation Expectations: The Case of Ukraine," Working Papers 02/2024, National Bank of Ukraine.
    18. Vardges Hovhannisyan & Vahé Heboyan & Magdana Kondaridze, 2024. "An empirical assessment of effectiveness of the US tobacco control policies: a smoothed instrumental variables quantile regression approach," Empirical Economics, Springer, vol. 67(2), pages 465-493, August.
    19. Idrissa Ouedraogo & Issa Dianda & Pegdwende Patrik Roland Ouedraogo & Tiraogo Rodrigue Ouedraogo & Bassirou Konfe, 2025. "The Effects of Taxation on Income Inequality in Sub-Saharan Africa," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 67(1), pages 84-149, March.
    20. Sohail, Muhammad Tayyab & Ullah, Sana & Sohail, Sidra, 2025. "How does the circular economy affect energy security and renewable energy development?," Energy, Elsevier, vol. 320(C).
    21. Gupta, Rajesh & Anand, Arjun, 2025. "Is mobility transition driven by wealth inequality? Evidence from analysis of the electric two-wheelers adoption in India," Transportation Research Part A: Policy and Practice, Elsevier, vol. 193(C).

  5. David M. Kaplan, 2021. "Distcomp: Comparing distributions," Papers 2110.02327, arXiv.org.

    Cited by:

    1. Wellhausen, Rachel L, 2023. "Waste Not, Want Not: Tariffs as Environmental Protection," Institute on Global Conflict and Cooperation, Working Paper Series qt40m4179x, Institute on Global Conflict and Cooperation, University of California.
    2. Jianqiu Bai & William Kerr & Chi Wan & Alptug Y. Yorulmaz, 2025. "Everyone Steps Back? The Widespread Retraction of Crowd-Funding Support for Minority Creators When Migration Fear Is High," Post-Print hal-04846591, HAL.
    3. Getahun, Tigabu D. & Fetene, Gebeyehu M. & Baumüller, Heike & Kubik, Zaneta, 2024. "Gender gaps in wages and nonmonetary benefits: Evidence from Ethiopia’s manufacturing sector," Discussion Papers 344126, University of Bonn, Center for Development Research (ZEF).
    4. Millemaci, Emanuele & Monteforte, Fabio & Temple, Jonathan R. W., 2023. "Have autocrats governed for the long term?," SocArXiv w8khb, Center for Open Science.
    5. Fetene, Gebeyehu Manie & Balew, Solomon & Abro, Zewdu & Kassie, Menale & Tefera, Tadele, 2021. "Push-Pull Technology As a Climate-Smart Integrated Pest Management Strategy in Southern Ethiopia," 2021 Conference, August 17-31, 2021, Virtual 315246, International Association of Agricultural Economists.
    6. Ayllón, Sara, 2022. "Online teaching and gender bias," Economics of Education Review, Elsevier, vol. 89(C).
    7. Heyman, Fredrik & Norbäck, Pehr-Johan & 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.
    8. Getahun, Tigabu D. & Fetene, Gebeyehu M. & Baumüller, Heike & Kubik, Zaneta, 2024. "Exploring the relationship between job quality and firm productivity in the manufacturing sector: Panel data evidence from Ethiopia," Discussion Papers 344125, University of Bonn, Center for Development Research (ZEF).
    9. 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 39-80.
    10. Barbara Boelmann, 2024. "Women's Missing Mobility and the Gender Gap in Higher Education: Evidence from Germany's University Expansion," CRC TR 224 Discussion Paper Series crctr224_2024_518, University of Bonn and University of Mannheim, Germany.
    11. David M. Kaplan, 2024. "Inference on Consensus Ranking of Distributions," Papers 2408.13949, arXiv.org.
    12. Carlos Madeira, 2025. "How accurately do consumers report their debts in household surveys?," BIS Working Papers 1258, Bank for International Settlements.
    13. 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 785-799, September.
    14. S. S. Swathysree & Manisha Chakrabarty & Debopriti Bhattacharya, 2023. "Getting Real in the Real Consumption Expenditure: A Case of Rural India," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 21(4), pages 817-846, December.
    15. Barbara Boelmann, 2024. "Women’s Missing Mobility and the Gender Gap in Higher Education: Evidence from Germany’s University Expansion," ECONtribute Discussion Papers Series 280, University of Bonn and University of Cologne, Germany.

  6. David M. Kaplan, 2020. "sivqr: Smoothed IV quantile regression," Working Papers 2009, Department of Economics, University of Missouri.

    Cited by:

    1. 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.
    2. Federico Favata & Sofia Zamparo, 2021. "Estimación del efecto de la segregación ocupacional por sexo en el ingreso laboral para Argentina (2016-2020)," Asociación Argentina de Economía Política: Working Papers 4467, Asociación Argentina de Economía Política.
    3. Feito-Ruiz, Isabel & Menéndez-Requejo, Susana, 2022. "Debt maturity in family firms: Heterogeneity across countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
    4. Vardges Hovhannisyan & Vahé Heboyan & Magdana Kondaridze, 2024. "An empirical assessment of effectiveness of the US tobacco control policies: a smoothed instrumental variables quantile regression approach," Empirical Economics, Springer, vol. 67(2), pages 465-493, August.

  7. David M. Kaplan, 2020. "Assessing Policy Effects with Unconditional Quantile Regression," Working Papers 2011, Department of Economics, University of Missouri.

    Cited by:

    1. Martínez-Iriarte, 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.
    2. Julian Martinez-Iriarte & 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 Aug 2024.

  8. David M. Kaplan, 2020. "Interpreting Unconditional Quantile Regression with Conditional Independence," Papers 2010.03606, arXiv.org, revised Oct 2021.

    Cited by:

    1. Martínez-Iriarte, 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.
    2. Julian Martinez-Iriarte & 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 Aug 2024.

  9. Matt Goldman & David M. Kaplan, 2017. "Comparing distributions by multiple testing across quantiles or CDF values," Papers 1708.04658, arXiv.org.

    Cited by:

    1. Gay, Victor, 2023. "Culture: An Empirical Investigation of Beliefs, Work, and Fertility – A Verification and Reproduction of Fernández and Fogli (2009)," I4R Discussion Paper Series 91, The Institute for Replication (I4R).
    2. 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.
    3. Millemaci, Emanuele & Monteforte, Fabio & Temple, Jonathan R. W., 2023. "Have autocrats governed for the long term?," SocArXiv w8khb, Center for Open Science.
    4. Huang, Wei & Luo, Mi & Song, Yueping & Wang, Yiping & Wu, Hantao, 2025. "Poverty spillovers in human capital Formation: Evidence from randomized class assignments in China," Journal of Public Economics, Elsevier, vol. 244(C).
    5. David M. Kaplan, 2018. "distcomp: Comparing distributions," Working Papers 1817, Department of Economics, University of Missouri.
    6. Wossen, Tesfamicheal & Spielman, David J. & Alene, Arega D. & Abdoulaye, Tahirou, 2024. "Estimating seed demand in the presence of market frictions: Evidence from an auction experiment in Nigeria," Journal of Development Economics, Elsevier, vol. 167(C).
    7. Wang, Duoyu & Cleary, Rebecca, 2023. "What contributes to the gap in nutritional quality across food security status?," 2023 Annual Meeting, July 23-25, Washington D.C. 335552, Agricultural and Applied Economics Association.
    8. 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.
    9. Goldman, Matt & Kaplan, David M., 2017. "Fractional order statistic approximation for nonparametric conditional quantile inference," Journal of Econometrics, Elsevier, vol. 196(2), pages 331-346.
    10. Huang, Wei & Li, Teng & Pan, Yinghao & Ren, Jinyang, 2021. "Teacher Characteristics and Student Performance: Evidence from Random Teacher-Student Assignments in China," IZA Discussion Papers 14184, Institute of Labor Economics (IZA).
    11. Carolina Caetano & Gregorio Caetano & Leonard Goff & Eric Nielsen, 2025. "Identification of Causal Effects with a Bunching Design," Papers 2507.05210, arXiv.org.
    12. Caetano, Carolina & Caetano, Gregorio & Nielsen, Eric, 2024. "Are children spending too much time on enrichment activities?," Economics of Education Review, Elsevier, vol. 98(C).
    13. Adeola Oyenubi, 2020. "On sensitivity of Genetic Matching to the choice of balance measure," ERSA Working Paper Series, Economic Research Southern Africa, vol. 0.
    14. 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.
    15. Liverpool-Tasie, Lenis Saweda & Dillon, Andrew & Bloem, Jeffrey R. & Adjognon, Guigonan Serge, 2022. "Private sector promotion of climate-smart technologies: Experimental evidence from Nigeria," IFPRI discussion papers 2155, International Food Policy Research Institute (IFPRI).
    16. Matt Goldman & David M. Kaplan, 2018. "Non‐parametric inference on (conditional) quantile differences and interquantile ranges, using L‐statistics," Econometrics Journal, Royal Economic Society, vol. 21(2), pages 136-169, June.
    17. Dennis Wesselbaum, 2023. "Understanding the Drivers of the Gender Productivity Gap in the Economics Profession," The American Economist, Sage Publications, vol. 68(1), pages 61-73, March.
    18. Heyman, Fredrik & Norbäck, Pehr-Johan & 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.
    19. 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.
    20. Melo, Grace & Palma, Marco & Chomali, Laura & Ribera, Luis, 2025. "Are experts overoptimistic about the success of market labeling information?," 2025 AAEA & WAEA Joint Annual Meeting, July 27-29, 2025, Denver, CO 360812, Agricultural and Applied Economics Association.
    21. Michael Hanemann & Jon Krosnick & Lisanne Wichgers & Jeffrey Wooldridge & Stephanie Lampron & Daniel Schneider & Eric M. Shaeffer & Trevor Tompson & Penny Visser, 2025. "Ben Franklin’s Whistle, Cost Expectations, and the Choice of Valuation Format," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 88(5), pages 1375-1406, May.
    22. Jaime Ramirez-Cuellar, 2023. "Testing for idiosyncratic Treatment Effect Heterogeneity," Papers 2304.01141, arXiv.org.
    23. Ciarreta, Aitor & Martinez, Blanca & Nasirov, Shahriyar, 2023. "Forecasting electricity prices using bid data," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1253-1271.
    24. Blemings, Benjamin T. & Bock, Margaret & Scarcioffolo, Alexandre, 2022. "Hoggin' the Road: Negative Road Externalities of Pork Slaughterhouses," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322466, Agricultural and Applied Economics Association.
    25. John Mullahy, 2020. "Discovering Treatment Effectiveness via Median Treatment Effects—Applications to COVID-19 Clinical Trials," NBER Working Papers 27895, National Bureau of Economic Research, Inc.
    26. 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).
    27. David M. Kaplan, 2024. "Inference on Consensus Ranking of Distributions," Papers 2408.13949, arXiv.org.
    28. Fasianos, Apostolos & Evgenidis, Anastasios, 2020. "Unconventional Monetary Policy and Wealth Inequalities in Great Britain," CEPR Discussion Papers 14656, C.E.P.R. Discussion Papers.
    29. Marta Serra-Garcia, 2025. "The Attention–Information Tradeoff," CESifo Working Paper Series 11885, CESifo.
    30. Kochhar,Nishtha & Knippenberg,Erwin Willem Yvonnick Leon, 2023. "Droughts and Welfare in Afghanistan," Policy Research Working Paper Series 10272, The World Bank.
    31. Wang, Duoyu & Cleary, Rebecca, 2024. "The Effect of SNAP on Black Households' Nutritional Quality of Food Purchases," 2024 Annual Meeting, July 28-30, New Orleans, LA 343960, Agricultural and Applied Economics Association.
    32. Gay, Victor, 2023. "Culture: An Empirical Investigation of Beliefs, Work, and Fertility. A Verification and Reproduction of Fernández and Fogli (American Economic Journal: Macroeconomics, 2009)," Journal of Comments and Replications in Economics (JCRE), ZBW - Leibniz Information Centre for Economics, vol. 2, pages 1-15.
    33. Chung, EunYi & Olivares, Mauricio, 2021. "Permutation test for heterogeneous treatment effects with a nuisance parameter," Journal of Econometrics, Elsevier, vol. 225(2), pages 148-174.
    34. Elisa Guglielminetti & Michele Loberto, 2025. "Inflation expectations and price-setting decisions: insights from the housing market," Temi di discussione (Economic working papers) 1507, Bank of Italy, Economic Research and International Relations Area.
    35. Benjamin Blemings & Brad Humphreys, 2024. "Public Financing of Professional Sports Facilities and Drug Asset Forfeiture," Public Finance Review, , vol. 52(4), pages 439-465, July.
    36. Melo, Grace & Palma, Marco A. & Ribera, Luis A., 2024. "Are experts overoptimistic about the success of food market labeling information?," 2024 Annual Meeting, July 28-30, New Orleans, LA 343870, Agricultural and Applied Economics Association.
    37. David M. Kaplan & Matt Goldman, 2016. "Nonparametric inference on conditional quantile differences and linear combinations, using L-statistics," Working Papers 1620, Department of Economics, University of Missouri.
    38. Carlos Madeira, 2025. "How accurately do consumers report their debts in household surveys?," BIS Working Papers 1258, Bank for International Settlements.
    39. Klenio Barbosa & Dakshina De Silva & Liyu Yang & Hisayuki Yoshimoto, 2020. "Bond Losses and Systemic Risk," Working Papers 288072615, Lancaster University Management School, Economics Department.
    40. Martin DeLuca & Roberto Pinheiro, 2023. "US Labor Market after COVID-19: An Interim Report," Economic Commentary, Federal Reserve Bank of Cleveland, vol. 2023(04), pages 1-7, February.
    41. 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 1050-1069, May.
    42. S. S. Swathysree & Manisha Chakrabarty & Debopriti Bhattacharya, 2023. "Getting Real in the Real Consumption Expenditure: A Case of Rural India," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 21(4), pages 817-846, December.

  10. 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.

    Cited by:

    1. Grigory Franguridi & Bulat Gafarov & Kaspar Wuthrich, 2020. "Bias correction for quantile regression estimators," Papers 2011.03073, arXiv.org, revised Feb 2025.
    2. Christophe Muller, 2019. "Linear Quantile Regression and Endogeneity Correction," Working Papers halshs-02272874, HAL.
    3. Xin Liu, 2019. "Averaging estimation for instrumental variables quantile regression," Papers 1910.04245, arXiv.org.
    4. de Castro, Luciano I. & Galvao, Antonio F. & Nunes, Daniel da Siva, 2025. "Dynamic economics with quantile preferences," Theoretical Economics, Econometric Society, vol. 20(1), January.
    5. Jungbin Hwang & Gonzalo Valdés, 2025. "HAR Inference for Quantile Regression in Time Series," Working papers 2025-03, University of Connecticut, Department of Economics.
    6. David M. Kaplan, 2022. "Smoothed instrumental variables quantile regression," Stata Journal, StataCorp LLC, vol. 22(2), pages 379-403, June.
    7. Firpo, Sergio & Galvao, Antonio F. & Pinto, Cristine & Poirier, Alexandre & Sanroman, Graciela, 2022. "GMM quantile regression," Journal of Econometrics, Elsevier, vol. 230(2), pages 432-452.
    8. 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.
    9. Javier Alejo & Gabriel Montes-Rojas, 2021. "Quantile Regression under Limited Dependent Variable," Papers 2112.06822, arXiv.org.
    10. Man Fung Leung & Kin Wai Chan & Xiaofeng Shao, 2025. "Online Generalized Method of Moments for Time Series," Papers 2502.00751, arXiv.org.
    11. de Castro, Luciano & Cundy, Lance D. & Galvao, Antonio F. & Westenberger, Rafael, 2023. "A dynamic quantile model for distinguishing intertemporal substitution from risk aversion," European Economic Review, Elsevier, vol. 159(C).
    12. He, Xuming & Pan, Xiaoou & Tan, Kean Ming & Zhou, Wen-Xin, 2023. "Smoothed quantile regression with large-scale inference," Journal of Econometrics, Elsevier, vol. 232(2), pages 367-388.
    13. Javier Alejo & Antonio F. Galvao & Gabriel Montes-Rojas, 2021. "A first-stage representation for instrumental variables quantile regression," Papers 2102.01212, arXiv.org, revised Feb 2022.
    14. André M. Marques, 2025. "Does fertility affect growth? Evidence and simulation results from alternative quantile regression estimators," Empirical Economics, Springer, vol. 68(5), pages 2255-2290, May.
    15. Fusejima, Koki, 2024. "Identification of multi-valued treatment effects with unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 238(1).
    16. Javier Alejo & Antonio F. Galvao & Gabriel Montes-Rojas, 2020. "A first-stage test for instrumental variables quantile regression," Asociación Argentina de Economía Política: Working Papers 4304, Asociación Argentina de Economía Política.
    17. Di Liu, 2024. "Instrumental-variables quantile regression," French Stata Users' Group Meetings 2024 07, Stata Users Group.
    18. David M. Kaplan & Xin Liu, 2024. "k-Class instrumental variables quantile regression," Empirical Economics, Springer, vol. 67(1), pages 111-141, July.
    19. Mingquan Wang & Xiaohua Ma & Xinrui Wang & Jun Wang & Xiuqing Zhou & Qibing Gao, 2025. "Smoothing Estimation of Parameters in Censored Quantile Linear Regression Model," Mathematics, MDPI, vol. 13(2), pages 1-28, January.
    20. Di Liu, 2024. "Instrumental variables quantile regression," Chinese Stata Conference 2023 07, Stata Users Group.
    21. Koki Fusejima, 2020. "Identification of multi-valued treatment effects with unobserved heterogeneity," Papers 2010.04385, arXiv.org, revised Apr 2023.
    22. David Powell, 2022. "Quantile regression with nonadditive fixed effects," Empirical Economics, Springer, vol. 63(5), pages 2675-2691, November.
    23. de Castro, Luciano & Galvao, Antonio F. & Montes-Rojas, Gabriel, 2020. "Quantile selection in non-linear GMM quantile models," Economics Letters, Elsevier, vol. 195(C).

  11. 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.

    Cited by:

    1. Grigory Franguridi & Bulat Gafarov & Kaspar Wuthrich, 2020. "Bias correction for quantile regression estimators," Papers 2011.03073, arXiv.org, revised Feb 2025.
    2. Christophe Muller, 2019. "Linear Quantile Regression and Endogeneity Correction," Working Papers halshs-02272874, HAL.
    3. Xin Liu, 2019. "Averaging estimation for instrumental variables quantile regression," Papers 1910.04245, arXiv.org.
    4. de Castro, Luciano I. & Galvao, Antonio F. & Nunes, Daniel da Siva, 2025. "Dynamic economics with quantile preferences," Theoretical Economics, Econometric Society, vol. 20(1), January.
    5. Jungbin Hwang & Gonzalo Valdés, 2025. "HAR Inference for Quantile Regression in Time Series," Working papers 2025-03, University of Connecticut, Department of Economics.
    6. David M. Kaplan, 2022. "Smoothed instrumental variables quantile regression," Stata Journal, StataCorp LLC, vol. 22(2), pages 379-403, June.
    7. Firpo, Sergio & Galvao, Antonio F. & Pinto, Cristine & Poirier, Alexandre & Sanroman, Graciela, 2022. "GMM quantile regression," Journal of Econometrics, Elsevier, vol. 230(2), pages 432-452.
    8. 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.
    9. Javier Alejo & Gabriel Montes-Rojas, 2021. "Quantile Regression under Limited Dependent Variable," Papers 2112.06822, arXiv.org.
    10. Man Fung Leung & Kin Wai Chan & Xiaofeng Shao, 2025. "Online Generalized Method of Moments for Time Series," Papers 2502.00751, arXiv.org.
    11. de Castro, Luciano & Cundy, Lance D. & Galvao, Antonio F. & Westenberger, Rafael, 2023. "A dynamic quantile model for distinguishing intertemporal substitution from risk aversion," European Economic Review, Elsevier, vol. 159(C).
    12. He, Xuming & Pan, Xiaoou & Tan, Kean Ming & Zhou, Wen-Xin, 2023. "Smoothed quantile regression with large-scale inference," Journal of Econometrics, Elsevier, vol. 232(2), pages 367-388.
    13. Javier Alejo & Antonio F. Galvao & Gabriel Montes-Rojas, 2021. "A first-stage representation for instrumental variables quantile regression," Papers 2102.01212, arXiv.org, revised Feb 2022.
    14. André M. Marques, 2025. "Does fertility affect growth? Evidence and simulation results from alternative quantile regression estimators," Empirical Economics, Springer, vol. 68(5), pages 2255-2290, May.
    15. Fusejima, Koki, 2024. "Identification of multi-valued treatment effects with unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 238(1).
    16. Javier Alejo & Antonio F. Galvao & Gabriel Montes-Rojas, 2020. "A first-stage test for instrumental variables quantile regression," Asociación Argentina de Economía Política: Working Papers 4304, Asociación Argentina de Economía Política.
    17. Di Liu, 2024. "Instrumental-variables quantile regression," French Stata Users' Group Meetings 2024 07, Stata Users Group.
    18. David M. Kaplan & Xin Liu, 2024. "k-Class instrumental variables quantile regression," Empirical Economics, Springer, vol. 67(1), pages 111-141, July.
    19. Mingquan Wang & Xiaohua Ma & Xinrui Wang & Jun Wang & Xiuqing Zhou & Qibing Gao, 2025. "Smoothing Estimation of Parameters in Censored Quantile Linear Regression Model," Mathematics, MDPI, vol. 13(2), pages 1-28, January.
    20. Di Liu, 2024. "Instrumental variables quantile regression," Chinese Stata Conference 2023 07, Stata Users Group.
    21. Koki Fusejima, 2020. "Identification of multi-valued treatment effects with unobserved heterogeneity," Papers 2010.04385, arXiv.org, revised Apr 2023.
    22. David Powell, 2022. "Quantile regression with nonadditive fixed effects," Empirical Economics, Springer, vol. 63(5), pages 2675-2691, November.
    23. de Castro, Luciano & Galvao, Antonio F. & Montes-Rojas, Gabriel, 2020. "Quantile selection in non-linear GMM quantile models," Economics Letters, Elsevier, vol. 195(C).

  12. Matt Goldman & David M. Kaplan, 2016. "Fractional order statistic approximation for nonparametric conditional quantile inference," Papers 1609.09035, arXiv.org.

    Cited by:

    1. David M. Kaplan & Lonnie Hofmann, 2020. "High-order coverage of smoothed Bayesian bootstrap intervals for population quantiles," Working Papers 2012, Department of Economics, University of Missouri.
    2. 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.
    3. Matt Goldman & David M. Kaplan, 2018. "Non‐parametric inference on (conditional) quantile differences and interquantile ranges, using L‐statistics," Econometrics Journal, Royal Economic Society, vol. 21(2), pages 136-169, June.
    4. Matt Goldman & David M. Kaplan, 2017. "Comparing distributions by multiple testing across quantiles or CDF values," Papers 1708.04658, arXiv.org.
    5. David M. Kaplan, 2013. "Improved Quantile Inference Via Fixed-Smoothing Asymptotics And Edgeworth Expansion," Working Papers 1313, Department of Economics, University of Missouri.
    6. 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 302-302, July.
    7. David M. Kaplan & Matt Goldman, 2016. "Nonparametric inference on conditional quantile differences and linear combinations, using L-statistics," Working Papers 1620, Department of Economics, University of Missouri.
    8. 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 75-100, April.
    9. David M. Kaplan, 2014. "Nonparametric Inference on Quantile Marginal Effects," Working Papers 1413, Department of Economics, University of Missouri.

  13. David M. Kaplan & Longhao Zhuo, 2016. "Frequentist properties of Bayesian inequality tests," Papers 1607.00393, arXiv.org, revised Jul 2024.

    Cited by:

    1. David M. Kaplan & Wei Zhao, 2025. "Comparing latent inequality with ordinal data," Papers 2501.05338, arXiv.org.
    2. 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.
    3. 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.
    4. Matt Goldman & David M. Kaplan, 2017. "Comparing distributions by multiple testing across quantiles or CDF values," Papers 1708.04658, arXiv.org.
    5. Kaplan, David M. & Zhuo, Longhao, 2021. "Frequentist properties of Bayesian inequality tests," Journal of Econometrics, Elsevier, vol. 221(1), pages 312-336.

  14. David M. Kaplan & Yixiao Sun, 2016. "Smoothed estimating equations for instrumental variables quantile regression," Papers 1609.09033, arXiv.org.

    Cited by:

    1. 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.
    2. Fengrui Di & Lei Wang, 2022. "Multi-round smoothed composite quantile regression for distributed data," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 74(5), pages 869-893, October.
    3. Le-Yu 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.
    4. Grigory Franguridi & Bulat Gafarov & Kaspar Wuthrich, 2020. "Bias correction for quantile regression estimators," Papers 2011.03073, arXiv.org, revised Feb 2025.
    5. Bhalotra, Sonia R. & Daysal, N. Meltem & Trandafir, Mircea, 2025. "Antidepressant Treatment in Childhood," IZA Discussion Papers 18069, Institute of Labor Economics (IZA).
    6. Byunghoon Kang & Seojeong Lee & Juha Song, 2025. "Convergence Rates of GMM Estimators with Nonsmooth Moments under Misspecification," Papers 2501.09540, arXiv.org.
    7. David Kang & Seojeong Lee, 2025. "Misspecification-Robust Asymptotic and Bootstrap Inference for Nonsmooth GMM," Working Papers 423284005, Lancaster University Management School, Economics Department.
    8. Yinchu Zhu, 2018. "Learning non-smooth models: instrumental variable quantile regressions and related problems," Papers 1805.06855, arXiv.org, revised Sep 2019.
    9. Xin Liu, 2019. "Averaging estimation for instrumental variables quantile regression," Papers 1910.04245, arXiv.org.
    10. Wenjie Wang & Yichong Zhang, 2024. "Gradient Wild Bootstrap for Instrumental Variable Quantile Regressions with Weak and Few Clusters," Papers 2408.10686, arXiv.org.
    11. Bakouan, Pousseni & Sawadogo, Relwendé, 2024. "BioTrade and income inequality: Does frontier technology readiness matter?," Structural Change and Economic Dynamics, Elsevier, vol. 70(C), pages 650-665.
    12. Idrissa Ouedraogo & Issa Dianda & Pegdwende Patrik Ouedraogo & Rodrigue Tiraogo Ouedraogo & Bassirou Konfe, 2022. "The effects of taxation on income inequality in sub-Saharan Africa," WIDER Working Paper Series wp-2022-129, World Institute for Development Economic Research (UNU-WIDER).
    13. Goldman, Matt & Kaplan, David M., 2017. "Fractional order statistic approximation for nonparametric conditional quantile inference," Journal of Econometrics, Elsevier, vol. 196(2), pages 331-346.
    14. Su Liangjun & Tadao Hoshino, 2015. "Sieve Instrumental Variable Quantile Regression Estimation of Functional Coefficient Models," Working Papers 01-2015, Singapore Management University, School of Economics.
    15. David M. Kaplan, 2020. "sivqr: Smoothed IV quantile regression," Working Papers 2009, Department of Economics, University of Missouri.
    16. David M. Kaplan, 2022. "Smoothed instrumental variables quantile regression," Stata Journal, StataCorp LLC, vol. 22(2), pages 379-403, June.
    17. Firpo, Sergio & Galvao, Antonio F. & Pinto, Cristine & Poirier, Alexandre & Sanroman, Graciela, 2022. "GMM quantile regression," Journal of Econometrics, Elsevier, vol. 230(2), pages 432-452.
    18. Dooyeon Cho & Seunghwa Rho, 2024. "Reassessing growth vulnerability," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(1), pages 225-234, January.
    19. Pereda-Fernández, Santiago, 2023. "Identification and estimation of triangular models with a binary treatment," Journal of Econometrics, Elsevier, vol. 234(2), pages 585-623.
    20. 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.
    21. Javier Alejo & Gabriel Montes-Rojas, 2021. "Quantile Regression under Limited Dependent Variable," Papers 2112.06822, arXiv.org.
    22. 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.
    23. Semenova, Vira, 2023. "Debiased machine learning of set-identified linear models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1725-1746.
    24. Marianne Bruins & James A. Duffy & Michael P. Keane & Anthony A. Smith, Jr, 2015. "Generalized Indirect Inference for Discrete Choice Models," Economics Papers 2015-W08, Economics Group, Nuffield College, University of Oxford.
    25. Kaspar W thrich, 2015. "Semiparametric estimation of quantile treatment effects with endogeneity," Diskussionsschriften dp1509, Universitaet Bern, Departement Volkswirtschaft.
    26. de Castro, Luciano & Cundy, Lance D. & Galvao, Antonio F. & Westenberger, Rafael, 2023. "A dynamic quantile model for distinguishing intertemporal substitution from risk aversion," European Economic Review, Elsevier, vol. 159(C).
    27. Machado, José A.F. & Santos Silva, J.M.C., 2019. "Quantiles via moments," Journal of Econometrics, Elsevier, vol. 213(1), pages 145-173.
    28. 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.
    29. He, Xuming & Pan, Xiaoou & Tan, Kean Ming & Zhou, Wen-Xin, 2023. "Smoothed quantile regression with large-scale inference," Journal of Econometrics, Elsevier, vol. 232(2), pages 367-388.
    30. Javier Alejo & Antonio F. Galvao & Gabriel Montes-Rojas, 2021. "A first-stage representation for instrumental variables quantile regression," Papers 2102.01212, arXiv.org, revised Feb 2022.
    31. Afi Florence Akakpo & Koffi Sodokin & Mawuli Kodjovi Couchoro, 2025. "Social capital, gender‐based resilience, and well‐being among urban and rural households in Togo," Journal of International Development, John Wiley & Sons, Ltd., vol. 37(1), pages 251-299, January.
    32. Koffi Sodokin & Joseph Kokouvi Djafon & Mawuli Kodjovi Couchoro & Yao Mensah Kounetsron & Akoété Ega Agbodji, 2023. "Technological change, the productivity of formal and informal businesses, and the impact on labor market," Cogent Economics & Finance, Taylor & Francis Journals, vol. 11(2), pages 2268790-226, October.
    33. André M. Marques, 2025. "Does fertility affect growth? Evidence and simulation results from alternative quantile regression estimators," Empirical Economics, Springer, vol. 68(5), pages 2255-2290, May.
    34. Muhamadu Awal Kindzeka Wirajing & Roger Tsafack Nanfosso & Armand Mboutchouang Kountchou, 2025. "Examining the environmental tax and the fishing grounds footprint nexus: Case of the African fishing industry," Natural Resources Forum, Blackwell Publishing, vol. 49(3), pages 2130-2154, August.
    35. Federico Favata & Sofia Zamparo, 2021. "Estimación del efecto de la segregación ocupacional por sexo en el ingreso laboral para Argentina (2016-2020)," Asociación Argentina de Economía Política: Working Papers 4467, Asociación Argentina de Economía Política.
    36. Marcelo Fernandes & Emmanuel Guerre & Eduardo Horta, 2021. "Smoothing Quantile Regressions," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(1), pages 338-357, January.
    37. Divya Balasubramaniam, 2025. "Children’s linear growth and mother’s education in India: Do the pathways have a role to play?," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 72(2), pages 1-29, December.
    38. Santiago Acerenza & Vitor Possebom & Pedro H. C. Sant'Anna, 2023. "Was Javert right to be suspicious? Marginal Treatment Effects with Duration Outcomes," Papers 2311.13969, arXiv.org, revised Apr 2025.
    39. David M. Kaplan, 2024. "Inference on Consensus Ranking of Distributions," Papers 2408.13949, arXiv.org.
    40. David M. Kaplan & Xin Liu, 2024. "Confidence intervals for intentionally biased estimators," Econometric Reviews, Taylor & Francis Journals, vol. 43(2-4), pages 197-214, April.
    41. 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 well-being and income inequality," Telecommunications Policy, Elsevier, vol. 47(6).
    42. Huan, Meili & Dong, Fengxia, 2023. "Sustainable Agricultural Practices and Crop Yield in China’s Maize Production," 2023 Annual Meeting, July 23-25, Washington D.C. 335656, Agricultural and Applied Economics Association.
    43. Grigory Franguridi & Bulat Gafarov & Kaspar Wüthrich, 2021. "Conditional Quantile Estimators: A Small Sample Theory," CESifo Working Paper Series 9046, CESifo.
    44. Victor Chernozhukov & Christian Hansen & Kaspar Wuthrich, 2020. "Instrumental Variable Quantile Regression," Papers 2009.00436, arXiv.org.
    45. David M. Kaplan, 2019. "Unbiased Estimation as a Public Good," Working Papers 1911, Department of Economics, University of Missouri.
    46. Dieudonné Mignamissi & Eric Xaverie Possi Tebeng & Arnold Dilane Momou Tchinda, 2024. "Does trade openness increase CO2 emissions in Africa? A revaluation using the composite index of Squalli and Wilson," Environment Systems and Decisions, Springer, vol. 44(3), pages 645-673, September.
    47. Hie Joo Ahn & Lam Nguyen, 2025. "Who's at Risk? Effects of Inflation on Unemployment Risk," Papers 2505.05757, arXiv.org.
    48. 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.
    49. Javier Alejo & Antonio F. Galvao & Gabriel Montes-Rojas, 2020. "A first-stage test for instrumental variables quantile regression," Asociación Argentina de Economía Política: Working Papers 4304, Asociación Argentina de Economía Política.
    50. Wüthrich, Kaspar, 2019. "A closed-form estimator for quantile treatment effects with endogeneity," Journal of Econometrics, Elsevier, vol. 210(2), pages 219-235.
    51. Di Liu, 2024. "Instrumental-variables quantile regression," French Stata Users' Group Meetings 2024 07, Stata Users Group.
    52. David M. Kaplan & Xin Liu, 2024. "k-Class instrumental variables quantile regression," Empirical Economics, Springer, vol. 67(1), pages 111-141, July.
    53. Tae-Hwy Lee & Aman Ullah & He Wang, 2024. "The second-order bias and mean squared error of quantile regression estimators," Indian Economic Review, Springer, vol. 59(1), pages 11-68, October.
    54. Saadaoui, Jamel, 2025. "Geopolitical Turning Points and Oil Price Responses: An IV-LP Approach," MPRA Paper 125586, University Library of Munich, Germany.
    55. Vardges Hovhannisyan & Vahé Heboyan & Magdana Kondaridze, 2024. "An empirical assessment of effectiveness of the US tobacco control policies: a smoothed instrumental variables quantile regression approach," Empirical Economics, Springer, vol. 67(2), pages 465-493, August.
    56. Ivan Skliarov & Łukasz Goczek, 2025. "No Enemy is Worse than Bad Advice: Financial Information Sources and Household Wealth," LWS Working papers 48, LIS Cross-National Data Center in Luxembourg.
    57. Idrissa Ouedraogo & Issa Dianda & Pegdwende Patrik Roland Ouedraogo & Tiraogo Rodrigue Ouedraogo & Bassirou Konfe, 2025. "The Effects of Taxation on Income Inequality in Sub-Saharan Africa," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 67(1), pages 84-149, March.
    58. Di Liu, 2024. "Instrumental variables quantile regression," Chinese Stata Conference 2023 07, Stata Users Group.
    59. Jean-Jacques Forneron, 2023. "Noisy, Non-Smooth, Non-Convex Estimation of Moment Condition Models," Papers 2301.07196, arXiv.org, revised Aug 2025.
    60. Antonio Francesco Gravina & Neil Foster-McGregor, 2024. "Unraveling wage inequality: tangible and intangible assets, globalization and labor market regulations," Empirical Economics, Springer, vol. 67(4), pages 1375-1420, October.
    61. Lorenzo Tedesco & Jad Beyhum & Ingrid Van Keilegom, 2023. "Instrumental variable estimation of the proportional hazards model by presmoothing," Papers 2309.02183, arXiv.org.
    62. Kazi Musa & Marijn Janssen & Jamaliah Said & Nor Balkish Zakaria & Naila Erum, 2025. "The Impact of Public Debt and Quality of Governance on Economic Growth in High-Income Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(1), pages 2817-2843, March.
    63. 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 1-17.
    64. Tae-Hwy Lee & Aman Ullah & He Wang, 2023. "The Second-order Bias and Mean Squared Error of Quantile Regression Estimators," Working Papers 202313, University of California at Riverside, Department of Economics.
    65. de Castro, Luciano & Galvao, Antonio F. & Montes-Rojas, Gabriel, 2020. "Quantile selection in non-linear GMM quantile models," Economics Letters, Elsevier, vol. 195(C).
    66. Rios-Avila, Fernando & Siles, Leonardo & Canavire Bacarreza, Gustavo J., 2024. "Estimating Quantile Regressions with Multiple Fixed Effects through Method of Moments," IZA Discussion Papers 17262, Institute of Labor Economics (IZA).

  15. David M. Kaplan & Matt Goldman, 2015. "Nonparametric inference on conditional quantile differences and linear combinations, using L-statistics," Working Papers 1503, Department of Economics, University of Missouri.

    Cited by:

    1. David M. Kaplan & Lonnie Hofmann, 2020. "High-order coverage of smoothed Bayesian bootstrap intervals for population quantiles," Working Papers 2012, Department of Economics, University of Missouri.
    2. Goldman, Matt & Kaplan, David M., 2017. "Fractional order statistic approximation for nonparametric conditional quantile inference," Journal of Econometrics, Elsevier, vol. 196(2), pages 331-346.
    3. 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.
    4. 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," Asia-Pacific Journal of Regional Science, Springer, vol. 6(2), pages 777-805, June.
    5. Matt Goldman & David M. Kaplan, 2017. "Comparing distributions by multiple testing across quantiles or CDF values," Papers 1708.04658, arXiv.org.
    6. Cui-Juan Kong & Han-Ying Liang, 2024. "Quantile difference estimation with censoring indicators missing at random," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 30(2), pages 345-382, April.
    7. David M. Kaplan, 2013. "Improved Quantile Inference Via Fixed-Smoothing Asymptotics And Edgeworth Expansion," Working Papers 1313, Department of Economics, University of Missouri.
    8. David M. Kaplan, 2014. "Nonparametric Inference on Quantile Marginal Effects," Working Papers 1413, Department of Economics, University of Missouri.

  16. David M. Kaplan, 2015. "Bayesian and frequentist tests of sign equality and other nonlinear inequalities," Working Papers 1516, Department of Economics, University of Missouri.

    Cited by:

    1. David M. Kaplan & Wei Zhao, 2025. "Comparing latent inequality with ordinal data," Papers 2501.05338, arXiv.org.
    2. 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.
    3. 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.
    4. Matt Goldman & David M. Kaplan, 2017. "Comparing distributions by multiple testing across quantiles or CDF values," Papers 1708.04658, arXiv.org.
    5. Kaplan, David M. & Zhuo, Longhao, 2021. "Frequentist properties of Bayesian inequality tests," Journal of Econometrics, Elsevier, vol. 221(1), pages 312-336.

  17. David M. Kaplan, 2014. "Nonparametric Inference on Quantile Marginal Effects," Working Papers 1413, Department of Economics, University of Missouri.

    Cited by:

    1. Goldman, Matt & Kaplan, David M., 2017. "Fractional order statistic approximation for nonparametric conditional quantile inference," Journal of Econometrics, Elsevier, vol. 196(2), pages 331-346.
    2. Matt Goldman & David M. Kaplan, 2018. "Non‐parametric inference on (conditional) quantile differences and interquantile ranges, using L‐statistics," Econometrics Journal, Royal Economic Society, vol. 21(2), pages 136-169, June.
    3. David M. Kaplan & Matt Goldman, 2016. "Nonparametric inference on conditional quantile differences and linear combinations, using L-statistics," Working Papers 1620, Department of Economics, University of Missouri.

  18. David M. Kaplan & Matt Goldman, 2013. "IDEAL Quantile Inference via Interpolated Duals of Exact Analytic L-statistics," Working Papers 1315, Department of Economics, University of Missouri.

    Cited by:

    1. Fan, Yanqin & Liu, Ruixuan, 2016. "A direct approach to inference in nonparametric and semiparametric quantile models," Journal of Econometrics, Elsevier, vol. 191(1), pages 196-216.
    2. 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.
    3. David M. Kaplan, 2013. "IDEAL Inference on Conditional Quantiles via Interpolated Duals of Exact Analytic L-statistics," Working Papers 1316, Department of Economics, University of Missouri.
    4. David M. Kaplan, 2013. "Improved Quantile Inference Via Fixed-Smoothing Asymptotics And Edgeworth Expansion," Working Papers 1313, Department of Economics, University of Missouri.

  19. David M. Kaplan, 2013. "IDEAL Inference on Conditional Quantiles via Interpolated Duals of Exact Analytic L-statistics," Working Papers 1316, Department of Economics, University of Missouri.

    Cited by:

    1. Fan, Yanqin & Liu, Ruixuan, 2016. "A direct approach to inference in nonparametric and semiparametric quantile models," Journal of Econometrics, Elsevier, vol. 191(1), pages 196-216.

  20. 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.

    Cited by:

    1. Gay, Victor, 2023. "Culture: An Empirical Investigation of Beliefs, Work, and Fertility – A Verification and Reproduction of Fernández and Fogli (2009)," I4R Discussion Paper Series 91, The Institute for Replication (I4R).
    2. 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.
    3. Millemaci, Emanuele & Monteforte, Fabio & Temple, Jonathan R. W., 2023. "Have autocrats governed for the long term?," SocArXiv w8khb, Center for Open Science.
    4. Huang, Wei & Luo, Mi & Song, Yueping & Wang, Yiping & Wu, Hantao, 2025. "Poverty spillovers in human capital Formation: Evidence from randomized class assignments in China," Journal of Public Economics, Elsevier, vol. 244(C).
    5. David M. Kaplan, 2018. "distcomp: Comparing distributions," Working Papers 1817, Department of Economics, University of Missouri.
    6. Wossen, Tesfamicheal & Spielman, David J. & Alene, Arega D. & Abdoulaye, Tahirou, 2024. "Estimating seed demand in the presence of market frictions: Evidence from an auction experiment in Nigeria," Journal of Development Economics, Elsevier, vol. 167(C).
    7. Wang, Duoyu & Cleary, Rebecca, 2023. "What contributes to the gap in nutritional quality across food security status?," 2023 Annual Meeting, July 23-25, Washington D.C. 335552, Agricultural and Applied Economics Association.
    8. 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.
    9. Goldman, Matt & Kaplan, David M., 2017. "Fractional order statistic approximation for nonparametric conditional quantile inference," Journal of Econometrics, Elsevier, vol. 196(2), pages 331-346.
    10. Huang, Wei & Li, Teng & Pan, Yinghao & Ren, Jinyang, 2021. "Teacher Characteristics and Student Performance: Evidence from Random Teacher-Student Assignments in China," IZA Discussion Papers 14184, Institute of Labor Economics (IZA).
    11. Carolina Caetano & Gregorio Caetano & Leonard Goff & Eric Nielsen, 2025. "Identification of Causal Effects with a Bunching Design," Papers 2507.05210, arXiv.org.
    12. Caetano, Carolina & Caetano, Gregorio & Nielsen, Eric, 2024. "Are children spending too much time on enrichment activities?," Economics of Education Review, Elsevier, vol. 98(C).
    13. Adeola Oyenubi, 2020. "On sensitivity of Genetic Matching to the choice of balance measure," ERSA Working Paper Series, Economic Research Southern Africa, vol. 0.
    14. 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.
    15. Liverpool-Tasie, Lenis Saweda & Dillon, Andrew & Bloem, Jeffrey R. & Adjognon, Guigonan Serge, 2022. "Private sector promotion of climate-smart technologies: Experimental evidence from Nigeria," IFPRI discussion papers 2155, International Food Policy Research Institute (IFPRI).
    16. Matt Goldman & David M. Kaplan, 2018. "Non‐parametric inference on (conditional) quantile differences and interquantile ranges, using L‐statistics," Econometrics Journal, Royal Economic Society, vol. 21(2), pages 136-169, June.
    17. Dennis Wesselbaum, 2023. "Understanding the Drivers of the Gender Productivity Gap in the Economics Profession," The American Economist, Sage Publications, vol. 68(1), pages 61-73, March.
    18. Heyman, Fredrik & Norbäck, Pehr-Johan & 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.
    19. 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.
    20. Melo, Grace & Palma, Marco & Chomali, Laura & Ribera, Luis, 2025. "Are experts overoptimistic about the success of market labeling information?," 2025 AAEA & WAEA Joint Annual Meeting, July 27-29, 2025, Denver, CO 360812, Agricultural and Applied Economics Association.
    21. Michael Hanemann & Jon Krosnick & Lisanne Wichgers & Jeffrey Wooldridge & Stephanie Lampron & Daniel Schneider & Eric M. Shaeffer & Trevor Tompson & Penny Visser, 2025. "Ben Franklin’s Whistle, Cost Expectations, and the Choice of Valuation Format," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 88(5), pages 1375-1406, May.
    22. Jaime Ramirez-Cuellar, 2023. "Testing for idiosyncratic Treatment Effect Heterogeneity," Papers 2304.01141, arXiv.org.
    23. Ciarreta, Aitor & Martinez, Blanca & Nasirov, Shahriyar, 2023. "Forecasting electricity prices using bid data," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1253-1271.
    24. Blemings, Benjamin T. & Bock, Margaret & Scarcioffolo, Alexandre, 2022. "Hoggin' the Road: Negative Road Externalities of Pork Slaughterhouses," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322466, Agricultural and Applied Economics Association.
    25. John Mullahy, 2020. "Discovering Treatment Effectiveness via Median Treatment Effects—Applications to COVID-19 Clinical Trials," NBER Working Papers 27895, National Bureau of Economic Research, Inc.
    26. 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).
    27. David M. Kaplan, 2024. "Inference on Consensus Ranking of Distributions," Papers 2408.13949, arXiv.org.
    28. Fasianos, Apostolos & Evgenidis, Anastasios, 2020. "Unconventional Monetary Policy and Wealth Inequalities in Great Britain," CEPR Discussion Papers 14656, C.E.P.R. Discussion Papers.
    29. Marta Serra-Garcia, 2025. "The Attention–Information Tradeoff," CESifo Working Paper Series 11885, CESifo.
    30. Kochhar,Nishtha & Knippenberg,Erwin Willem Yvonnick Leon, 2023. "Droughts and Welfare in Afghanistan," Policy Research Working Paper Series 10272, The World Bank.
    31. Wang, Duoyu & Cleary, Rebecca, 2024. "The Effect of SNAP on Black Households' Nutritional Quality of Food Purchases," 2024 Annual Meeting, July 28-30, New Orleans, LA 343960, Agricultural and Applied Economics Association.
    32. Gay, Victor, 2023. "Culture: An Empirical Investigation of Beliefs, Work, and Fertility. A Verification and Reproduction of Fernández and Fogli (American Economic Journal: Macroeconomics, 2009)," Journal of Comments and Replications in Economics (JCRE), ZBW - Leibniz Information Centre for Economics, vol. 2, pages 1-15.
    33. Chung, EunYi & Olivares, Mauricio, 2021. "Permutation test for heterogeneous treatment effects with a nuisance parameter," Journal of Econometrics, Elsevier, vol. 225(2), pages 148-174.
    34. Elisa Guglielminetti & Michele Loberto, 2025. "Inflation expectations and price-setting decisions: insights from the housing market," Temi di discussione (Economic working papers) 1507, Bank of Italy, Economic Research and International Relations Area.
    35. Benjamin Blemings & Brad Humphreys, 2024. "Public Financing of Professional Sports Facilities and Drug Asset Forfeiture," Public Finance Review, , vol. 52(4), pages 439-465, July.
    36. Melo, Grace & Palma, Marco A. & Ribera, Luis A., 2024. "Are experts overoptimistic about the success of food market labeling information?," 2024 Annual Meeting, July 28-30, New Orleans, LA 343870, Agricultural and Applied Economics Association.
    37. David M. Kaplan & Matt Goldman, 2016. "Nonparametric inference on conditional quantile differences and linear combinations, using L-statistics," Working Papers 1620, Department of Economics, University of Missouri.
    38. Carlos Madeira, 2025. "How accurately do consumers report their debts in household surveys?," BIS Working Papers 1258, Bank for International Settlements.
    39. Klenio Barbosa & Dakshina De Silva & Liyu Yang & Hisayuki Yoshimoto, 2020. "Bond Losses and Systemic Risk," Working Papers 288072615, Lancaster University Management School, Economics Department.
    40. Martin DeLuca & Roberto Pinheiro, 2023. "US Labor Market after COVID-19: An Interim Report," Economic Commentary, Federal Reserve Bank of Cleveland, vol. 2023(04), pages 1-7, February.
    41. 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 1050-1069, May.
    42. S. S. Swathysree & Manisha Chakrabarty & Debopriti Bhattacharya, 2023. "Getting Real in the Real Consumption Expenditure: A Case of Rural India," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 21(4), pages 817-846, December.

  21. David M. Kaplan, 2013. "Improved Quantile Inference Via Fixed-Smoothing Asymptotics And Edgeworth Expansion," Working Papers 1313, Department of Economics, University of Missouri.

    Cited by:

    1. Goldman, Matt & Kaplan, David M., 2017. "Fractional order statistic approximation for nonparametric conditional quantile inference," Journal of Econometrics, Elsevier, vol. 196(2), pages 331-346.
    2. Matt Goldman & David M. Kaplan, 2018. "Non‐parametric inference on (conditional) quantile differences and interquantile ranges, using L‐statistics," Econometrics Journal, Royal Economic Society, vol. 21(2), pages 136-169, June.
    3. Dominique Guegan & Bertrand K. Hassani & Kehan Li, 2016. "A robust confidence interval of historical Value-at-Risk for small sample," Documents de travail du Centre d'Economie de la Sorbonne 16034, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    4. Dominique Guegan & Bertrand Hassani & Kehan Li, 2017. "Measuring risks in the extreme tail: The extreme VaR and its confidence interval," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01317391, HAL.
    5. David M. Kaplan & Matt Goldman, 2016. "Nonparametric inference on conditional quantile differences and linear combinations, using L-statistics," Working Papers 1620, Department of Economics, University of Missouri.
    6. 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 75-100, April.
    7. David M. Kaplan, 2014. "Nonparametric Inference on Quantile Marginal Effects," Working Papers 1413, Department of Economics, University of Missouri.
    8. 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 Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Jul 2016.

  22. Sun, Yixiao & Kaplan, David M., 2011. "A New Asymptotic Theory for Vector Autoregressive Long-run Variance Estimation and Autocorrelation Robust Testing," University of California at San Diego, Economics Working Paper Series qt8cx0t4gc, Department of Economics, UC San Diego.

    Cited by:

    1. 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 85-108.
    2. Sun, Yixiao, 2013. "Fixed-smoothing Asymptotics in a Two-step GMM Framework," University of California at San Diego, Economics Working Paper Series qt64x4z265, Department of Economics, UC San Diego.
    3. David M. Kaplan, 2013. "Improved Quantile Inference Via Fixed-Smoothing Asymptotics And Edgeworth Expansion," Working Papers 1313, Department of Economics, University of Missouri.
    4. 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 21-27.

Articles

  1. David M. Kaplan, 2024. "Inference on Consensus Ranking of Distributions," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(3), pages 839-850, July.
    See citations under working paper version above.
  2. David M Kaplan & Wei Zhao, 2023. "Comparing latent inequality with ordinal data," The Econometrics Journal, Royal Economic Society, vol. 26(2), pages 189-214.
    See citations under working paper version above.
  3. David M. Kaplan, 2022. "Smoothed instrumental variables quantile regression," Stata Journal, StataCorp LLC, vol. 22(2), pages 379-403, June.
    See citations under working paper version above.
  4. Kaplan, David M. & Zhuo, Longhao, 2021. "Frequentist properties of Bayesian inequality tests," Journal of Econometrics, Elsevier, vol. 221(1), pages 312-336.
    See citations under working paper version above.
  5. de Castro, Luciano & Galvao, Antonio F. & Kaplan, David M. & Liu, Xin, 2019. "Smoothed GMM for quantile models," Journal of Econometrics, Elsevier, vol. 213(1), pages 121-144.
    See citations under working paper version above.
  6. David M. Kaplan, 2019. "distcomp: Comparing distributions," Stata Journal, StataCorp LLC, vol. 19(4), pages 832-848, December.
    See citations under working paper version above.
  7. Goldman, Matt & Kaplan, David M., 2018. "Comparing distributions by multiple testing across quantiles or CDF values," Journal of Econometrics, Elsevier, vol. 206(1), pages 143-166.
    See citations under working paper version above.
  8. Matt Goldman & David M. Kaplan, 2018. "Non‐parametric inference on (conditional) quantile differences and interquantile ranges, using L‐statistics," Econometrics Journal, Royal Economic Society, vol. 21(2), pages 136-169, June.
    See citations under working paper version above.
  9. Goldman, Matt & Kaplan, David M., 2017. "Fractional order statistic approximation for nonparametric conditional quantile inference," Journal of Econometrics, Elsevier, vol. 196(2), pages 331-346.
    See citations under working paper version above.
  10. Kaplan, David M. & Sun, Yixiao, 2017. "Smoothed Estimating Equations For Instrumental Variables Quantile Regression," Econometric Theory, Cambridge University Press, vol. 33(1), pages 105-157, February.
    See citations under working paper version above.
  11. Kaplan, David M., 2015. "Improved quantile inference via fixed-smoothing asymptotics and Edgeworth expansion," Journal of Econometrics, Elsevier, vol. 185(1), pages 20-32.
    See citations under working paper version above.Sorry, no citations of articles recorded.

Software components

    Sorry, no citations of software components recorded.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.