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Roger Koenker

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. Zhijie Xiao & Roger Koenker, 2009. "Conditional Quantile Estimation for GARCH Models," Boston College Working Papers in Economics 725, Boston College Department of Economics.

    Cited by:

    1. John W. Galbraith & Liam Cheung, 2013. "Forecasting financial volatility with combined QML and LAD-ARCH estimators of the GARCH model," CIRANO Working Papers 2013s-19, CIRANO.
    2. Caporin, Massimiliano & Gupta, Rangan & Ravazzolo, Francesco, 2021. "Contagion between real estate and financial markets: A Bayesian quantile-on-quantile approach," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
    3. Oliver Linton & Dajing Shang & Yang Yan, 2012. "Efficient estimation of conditional risk measures in a semiparametric GARCH model," CeMMAP working papers CWP25/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Cathy Chen & Richard Gerlach, 2013. "Semi-parametric quantile estimation for double threshold autoregressive models with heteroskedasticity," Computational Statistics, Springer, vol. 28(3), pages 1103-1131, June.
    5. Alessandra Pasqualina Viola & Marcelo Cabus Klotzle & Antonio Carlos Figueiredo Pinto & Wagner Piazza Gaglianone, 2017. "Predicting Exchange Rate Volatility in Brazil: an approach using quantile autoregression," Working Papers Series 466, Central Bank of Brazil, Research Department.
    6. Nieto, Maria Rosa & Ruiz, Esther, 2016. "Frontiers in VaR forecasting and backtesting," International Journal of Forecasting, Elsevier, vol. 32(2), pages 475-501.
    7. Massimiliano Caporin & Loriana Pelizzon & Francesco Ravazzolo & Roberto Rigobon, 2012. "Measuring Sovereign Contagion in Europe," Working Papers No 4/2012, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    8. Refk Selmi, 2025. "Changes in Inflation Expectations and Firm Performance during Recent Global Economic Shocks," Annals of Economics and Finance, Society for AEF, vol. 26(2), pages 731-764, November.
    9. Svetlana Mira & Nicholas Taylor, 2013. "An International Perspective on Risk Management Quality," European Financial Management, European Financial Management Association, vol. 19(5), pages 935-955, November.

  2. Gilbert W. Bassett Jr Bassett & Roger Koenker & Gregory Kordas, 2004. "Pessimistic portfolio allocation and Choquet expected utility," CeMMAP working papers CWP09/04, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Kuan, Chung-Ming & Yeh, Jin-Huei & Hsu, Yu-Chin, 2009. "Assessing value at risk with CARE, the Conditional Autoregressive Expectile models," Journal of Econometrics, Elsevier, vol. 150(2), pages 261-270, June.
    2. Liu, Shuting & Zhang, Sicheng & Chen, Yun, 2025. "Exploiting mixed-frequency characteristics in parametric Mean-Expected Shortfall portfolio selection," Economic Modelling, Elsevier, vol. 148(C).
    3. Gerlach, Richard & Wang, Chao, 2020. "Semi-parametric dynamic asymmetric Laplace models for tail risk forecasting, incorporating realized measures," International Journal of Forecasting, Elsevier, vol. 36(2), pages 489-506.
    4. Jozef Barun'ik & Matv{e}j Nevrla, 2018. "Quantile Spectral Beta: A Tale of Tail Risks, Investment Horizons, and Asset Prices," Papers 1806.06148, arXiv.org, revised Dec 2021.
    5. Shujie Ma & Oliver Linton & Jiti Gao, 2017. "Estimation and inference in semiparametric quantile factor models," Monash Econometrics and Business Statistics Working Papers 8/17, Monash University, Department of Econometrics and Business Statistics.
    6. Bassett, Gilbert Jr., 2005. "Proposing a dinner date: analysis by rank-dependent expected utility," Journal of Economic Behavior & Organization, Elsevier, vol. 58(3), pages 393-402, November.
    7. Franco Peracchi & Andrei V. Tanase, 2008. "On estimating the conditional expected shortfall," CEIS Research Paper 122, Tor Vergata University, CEIS, revised 14 Jul 2008.
    8. Weiqing Wang & Shuhao Liang & Liukai Wang & Yu Xiong, 2025. "Mixed frequency data and portfolio selection: A novel approach integrating DEA with mixed frequency data sources," Annals of Operations Research, Springer, vol. 347(3), pages 1533-1565, April.
    9. Hirbod Assa & Nikolay Gospodinov, 2017. "A Robust Approach to Hedging and Pricing in Imperfect Markets," Risks, MDPI, vol. 5(3), pages 1-20, July.
    10. Marc Hallin & Davy Paindaveine & Miroslav Siman, 2008. "Multivariate quantiles and multiple-output regression quantiles: from L1 optimization to halfspace depth," Working Papers ECARES 2008_042, ULB -- Universite Libre de Bruxelles.
    11. Frantisek Cech & Jozef Barunik, 2017. "Measurement of Common Risk Factors: A Panel Quantile Regression Model for Returns," Papers 1708.08622, arXiv.org.
    12. Weidong Lin & Jose Olmo & Abderrahim Taamouti, 2025. "Portfolio Selection under Systemic Risk," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 57(4), pages 905-949, June.
    13. Chen, Xiaohong & Wang, Bo & Xiao, Zhijie & Yi, Yanping, 2025. "Improved estimation of semiparametric dynamic copula models with filtered nonstationarity," Journal of Econometrics, Elsevier, vol. 252(PB).
    14. Polbennikov, S.Y. & Melenberg, B., 2005. "Mean-Coherent Risk and Mean-Variance Approaches in Portfolio Selection : An Empirical Comparison," Other publications TiSEM da47bd16-393d-4b80-96dc-1, Tilburg University, School of Economics and Management.
    15. Giovanni Bonaccolto & Massimiliano Caporin & Sandra Paterlini, 2015. "Asset Allocation Strategies Based On Penalized Quantile Regression," "Marco Fanno" Working Papers 0199, Dipartimento di Scienze Economiche "Marco Fanno".
    16. Christis Katsouris, 2021. "Optimal Portfolio Choice and Stock Centrality for Tail Risk Events," Papers 2112.12031, arXiv.org.
    17. Mario Brandtner, 2016. "Spektrale Risikomaße: Konzeption, betriebswirtschaftliche Anwendungen und Fallstricke," Management Review Quarterly, Springer, vol. 66(2), pages 75-115, April.
    18. Chen, Cathy W.S. & Hsu, Hsiao-Yun & Watanabe, Toshiaki, 2023. "Tail risk forecasting of realized volatility CAViaR models," Finance Research Letters, Elsevier, vol. 51(C).
    19. Vijverberg, Chu-Ping C. & Vijverberg, Wim P.M. & Taşpınar, Süleyman, 2016. "Linking Tukey’s legacy to financial risk measurement," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 595-615.
    20. Luca Merlo & Lea Petrella & Valentina Raponi, 2021. "Forecasting VaR and ES using a joint quantile regression and implications in portfolio allocation," Papers 2106.06518, arXiv.org.
    21. Pierdzioch, Christian & Risse, Marian & Rohloff, Sebastian, 2016. "A quantile-boosting approach to forecasting gold returns," The North American Journal of Economics and Finance, Elsevier, vol. 35(C), pages 38-55.
    22. Polbennikov, S.Y. & Melenberg, B., 2005. "Mean-Coherent Risk and Mean-Variance Approaches in Portfolio Selection : An Empirical Comparison," Discussion Paper 2005-100, Tilburg University, Center for Economic Research.
    23. J. Christopher Westland, 2015. "Economics of eBay’s buyer protection plan," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 1(1), pages 1-20, December.
    24. Dominique Guegan & Bertrand K. Hassani, 2019. "Risk Measurement," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-02119256, HAL.
    25. Barrieu, Pauline & Desgagne, Bernard Sinclair, 2009. "Economic policy when models disagree," LSE Research Online Documents on Economics 37607, London School of Economics and Political Science, LSE Library.
    26. Sungchul Hong & Jong-June Jeon, 2023. "Uniform Pessimistic Risk and its Optimal Portfolio," Papers 2303.07158, arXiv.org, revised May 2024.
    27. Nikolay Gospodinov, 2017. "Asset Co-movements: Features and Challenges," FRB Atlanta Working Paper 2017-11, Federal Reserve Bank of Atlanta.
    28. Christian Gourieroux & Wei Liu, 2006. "Sensitivity Analysis of Distortion Risk Measures," Working Papers 2006-33, Center for Research in Economics and Statistics.
    29. Zhu, Huiming & Peng, Cheng & You, Wanhai, 2016. "Quantile behaviour of cointegration between silver and gold prices," Finance Research Letters, Elsevier, vol. 19(C), pages 119-125.
    30. Le, Trung H., 2020. "Forecasting value at risk and expected shortfall with mixed data sampling," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1362-1379.
    31. Jiang, Yifu & Olmo, Jose & Atwi, Majed, 2024. "Dynamic robust portfolio selection under market distress," The North American Journal of Economics and Finance, Elsevier, vol. 69(PB).
    32. Kim, Kwansoo & Chavas, Jean-Paul & Barham, Bradford L. & Foltz, Jeremy D., 2012. "Rice, Irrigation and Downside Risk: A Quantile Analysis of Risk Exposure and Mitigation on Korean Farms," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124814, Agricultural and Applied Economics Association.
    33. Chen, Cathy Yi-Hsuan & Chiang, Thomas C. & Härdle, Wolfgang Karl, 2016. "Downside risk and stock returns: An empirical analysis of the long-run and short-run dynamics from the G-7 Countries," SFB 649 Discussion Papers 2016-001, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    34. Kohei Marumo & Steven Li, 2024. "Downside Risk in Australian and Japanese Stock Markets: Evidence Based on the Expectile Regression," JRFM, MDPI, vol. 17(5), pages 1-17, May.
    35. Catania, Leopoldo & Luati, Alessandra, 2025. "Quasi Maximum Likelihood Estimation of Value at Risk and Expected Shortfall," Econometrics and Statistics, Elsevier, vol. 33(C), pages 23-34.
    36. Antony Millner & Simon Dietz & Geoffrey Heal, 2010. "Ambiguity and Climate Policy," NBER Working Papers 16050, National Bureau of Economic Research, Inc.
    37. Gschöpf, Philipp & Härdle, Wolfgang Karl & Mihoci, Andrija, 2015. "TERES: Tail event risk expectile based shortfall," SFB 649 Discussion Papers 2015-047, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    38. Hanqing Jin & Xun Yu Zhou, 2008. "Behavioral Portfolio Selection In Continuous Time," Mathematical Finance, Wiley Blackwell, vol. 18(3), pages 385-426, July.
    39. Daouia, Abdelaati & Stupfler, Gilles, 2024. "Extremile Regression," TSE Working Papers 24-1546, Toulouse School of Economics (TSE).
    40. Horatio Cuesdeanu & Jens Carsten Jackwerth, 2018. "The pricing kernel puzzle: survey and outlook," Annals of Finance, Springer, vol. 14(3), pages 289-329, August.
    41. Melenberg, B. & Polbennikov, S.Y., 2005. "Testing for Mean-Coherent Regular Risk Spanning," Other publications TiSEM 0cd9ce8d-542e-418e-be38-f, Tilburg University, School of Economics and Management.
    42. Xiaoping Xu & Zongwu Cai, 2013. "Nonparametric Quantile Estimations For Dynamic Smooth Coefficient Models," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    43. Shujie Ma & Oliver Linton & Jiti Gao, 2018. "Estimation in semiparametric quantile factor models," CeMMAP working papers CWP07/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    44. R. Emilio Muniz-Langle, 2026. "Catastrophic Attention Preferences," Papers 2608.05379, arXiv.org.
    45. Luciano de Castro & Antonio F. Galvao & Gabriel Montes-Rojas & Jose Olmo, 2022. "Portfolio selection in quantile decision models," Annals of Finance, Springer, vol. 18(2), pages 133-181, June.
    46. Brandtner, Mario, 2013. "Conditional Value-at-Risk, spectral risk measures and (non-)diversification in portfolio selection problems – A comparison with mean–variance analysis," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5526-5537.
    47. Manganelli, Simone, 2007. "Asset allocation by penalized least squares," Working Paper Series 723, European Central Bank.
    48. Xu, Qifa & Zhou, Yingying & Jiang, Cuixia & Yu, Keming & Niu, Xufeng, 2016. "A large CVaR-based portfolio selection model with weight constraints," Economic Modelling, Elsevier, vol. 59(C), pages 436-447.
    49. Giovanni Bonaccolto, 2019. "Critical Decisions for Asset Allocation via Penalized Quantile Regression," Papers 1908.04697, arXiv.org.
    50. Adam, Alexandre & Houkari, Mohamed & Laurent, Jean-Paul, 2008. "Spectral risk measures and portfolio selection," Journal of Banking & Finance, Elsevier, vol. 32(9), pages 1870-1882, September.
    51. Mengting Li & Qifa Xu & Cuixia Jiang & Qinna Zhao, 2023. "The role of tail network topological characteristic in portfolio selection: A TNA‐PMC model," International Review of Finance, International Review of Finance Ltd., vol. 23(1), pages 37-57, March.
    52. Giessing, Alexander & He, Xuming, 2019. "On the predictive risk in misspecified quantile regression," Journal of Econometrics, Elsevier, vol. 213(1), pages 235-260.
    53. Baruník, Jozef & Čech, František, 2021. "Measurement of common risks in tails: A panel quantile regression model for financial returns," Journal of Financial Markets, Elsevier, vol. 52(C).
    54. Antony Millner & Simon Dietz & Geoffrey Heal, 2013. "Scientific Ambiguity and Climate Policy," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 55(1), pages 21-46, May.
    55. Giovanni Bonaccolto, 2021. "Quantile– based portfolios: post– model– selection estimation with alternative specifications," Computational Management Science, Springer, vol. 18(3), pages 355-383, July.
    56. Melenberg, B. & Polbennikov, S.Y., 2005. "Testing for Mean-Coherent Regular Risk Spanning," Discussion Paper 2005-99, Tilburg University, Center for Economic Research.
    57. Strub, Moris S. & Li, Duan & Cui, Xiangyu & Gao, Jianjun, 2019. "Discrete-time mean-CVaR portfolio selection and time-consistency induced term structure of the CVaR," Journal of Economic Dynamics and Control, Elsevier, vol. 108(C).
    58. Alexandre Street, 2010. "On the Conditional Value-at-Risk probability-dependent utility function," Theory and Decision, Springer, vol. 68(1), pages 49-68, February.
    59. Merlo, Luca & Petrella, Lea & Raponi, Valentina, 2021. "Forecasting VaR and ES using a joint quantile regression and its implications in portfolio allocation," Journal of Banking & Finance, Elsevier, vol. 133(C).
    60. Pauline Barrieu & Sinclair Desgagn�, 2009. "Economic policy when models disagree," GRI Working Papers 4, Grantham Research Institute on Climate Change and the Environment.

  3. Lingjie Ma & Roger Koenker, 2004. "Quantile regression methods for recursive structural equation models," CeMMAP working papers CWP01/04, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Juan Meng & Bin Mo & He Nie, 2023. "The dynamics of crude oil future prices on China's energy markets: Quantile‐on‐quantile and casualty‐in‐quantiles approaches," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(12), pages 1853-1871, December.
    2. Victor Chernozhukov & Christian Hansen & Kaspar Wuthrich, 2020. "Instrumental Variable Quantile Regression," Papers 2009.00436, arXiv.org.
    3. Victor Chernozhukov & Ivan Fernandez-Val & Amanda Kowalski, 2011. "Quantile regression with censoring and endogeneity," CeMMAP working papers CWP20/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Jiang, Wei & Hu, Yanhui & Zhao, Xiangyu, 2025. "The impact of artificial intelligence on carbon market in China: Evidence from quantile-on-quantile regression approach," Technological Forecasting and Social Change, Elsevier, vol. 212(C).
    5. Victor Chernozhukov & Ivan Fernandez-Val & Whitney K. Newey & Sami Stouli & Francis Vella, 2017. "Semiparametric estimation of structural functions in nonseparable triangular models," CeMMAP working papers 48/17, Institute for Fiscal Studies.
    6. Roger Koenker, 2017. "Quantile regression 40 years on," CeMMAP working papers CWP36/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. Wüthrich, Kaspar, 2019. "A closed-form estimator for quantile treatment effects with endogeneity," Journal of Econometrics, Elsevier, vol. 210(2), pages 219-235.
    8. Tae-Hwan Kim & Christophe Muller, 2012. "A test for endogeneity in conditional quantile models," Working papers 2012rwp-49, Yonsei University, Yonsei Economics Research Institute.
    9. Martinez-Sanchis, Elena & Mora, Juan & Kandemir, Ilker, 2012. "Counterfactual distributions of wages via quantile regression with endogeneity," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3212-3229.
    10. Horowitz, Joel L. & Lee, Sokbae, 2009. "Testing a parametric quantile-regression model with an endogenous explanatory variable against a nonparametric alternative," Journal of Econometrics, Elsevier, vol. 152(2), pages 141-152, October.
    11. Mishra, Shekhar & Sharif, Arshian & Khuntia, Sashikanta & Meo, Muhammad Saeed & Rehman Khan, Syed Abdul, 2019. "Does oil prices impede Islamic stock indices? Fresh insights from wavelet-based quantile-on-quantile approach," Resources Policy, Elsevier, vol. 62(C), pages 292-304.
    12. Tae-Hwan Kim & Christophe Muller, 2020. "Inconsistency transmission and variance reduction in two-stage quantile regression," Post-Print hal-02084505, HAL.
    13. Jun, Sung Jae & Pinkse, Joris & Xu, Haiqing, 2011. "Tighter bounds in triangular systems," Journal of Econometrics, Elsevier, vol. 161(2), pages 122-128, April.
    14. Yonghong Jiang & Gengyu Tian & Yiqi Wu & Bin Mo, 2022. "Impacts of geopolitical risks and economic policy uncertainty on Chinese tourism‐listed company stock," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 320-333, January.
    15. Sami Ullah & Rundong Luo & Tomiwa Sunday Adebayo & Mustafa Tevfik Kartal, 2023. "Dynamics between environmental taxes and ecological sustainability: Evidence from top‐seven green economies by novel quantile approaches," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(2), pages 825-839, April.
    16. Nicholas C.S. Sim, 2009. "Modeling Quantile Dependence: A New Look at the Money-Output Relationship," Adelaide Economics Working Papers 2009-34, Adelaide University, School of Economics.
    17. Bryan S. Graham & Jinyong Hahn & Alexandre Poirier & James L. Powell, 2015. "Quantile regression with panel data," CeMMAP working papers CWP12/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    18. Christophe Muller, 2019. "Linear Quantile Regression and Endogeneity Correction," AMSE Working Papers 1920, Aix-Marseille School of Economics, France.
    19. Javier Alejo & Antonio F Galvao & Gabriel Montes-Rojas, 2023. "A first-stage representation for instrumental variables quantile regression," The Econometrics Journal, Royal Economic Society, vol. 26(3), pages 350-377.
    20. Fernandez-Val , Ivan & van Vuuren, Aico & Vella, Francis, 2018. "Nonseparable Sample Selection Models with Censored Selection Rules," Working Papers in Economics 716, University of Gothenburg, Department of Economics.
    21. Farah Nasri & Salim Ben Sassi, 2026. "A dual approach to ESG risk factor extraction and implementation: quantile regression method," Journal of Asset Management, Palgrave Macmillan, vol. 27(3), pages 1-15, September.
    22. Oguzhan Cepni & Rangan Gupta & Jacobus Nel & Joshua Nielsen, 2023. "Monetary Policy Shocks and Multi-Scale Positive and Negative Bubbles in an Emerging Country: The Case of India," Working Papers 202305, University of Pretoria, Department of Economics.
    23. Muller, Christophe, 2018. "Heterogeneity and nonconstant effect in two-stage quantile regression," Econometrics and Statistics, Elsevier, vol. 8(C), pages 3-12.
    24. Graham J. McKee & Steven G. Rivkin & Katharine R.E. Sims, 2010. "Disruption, Achievement and the Heterogeneous Benefits of Smaller Classes," NBER Working Papers 15812, National Bureau of Economic Research, Inc.
    25. Kamhon Kan & Chihwa Kao, 2005. "Simulation-Based Two-Step Estimation with Endogenous Regressors," Center for Policy Research Working Papers 76, Center for Policy Research, Maxwell School, Syracuse University.
    26. Francesco Andreoli & Giorgia Casalone & Daniela Sonedda, 2018. "Public education provision, private schooling and income redistribution," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 16(4), pages 553-582, December.
    27. Mo, Bin & Chen, Cuiqiong & Nie, He & Jiang, Yonghong, 2019. "Visiting effects of crude oil price on economic growth in BRICS countries: Fresh evidence from wavelet-based quantile-on-quantile tests," Energy, Elsevier, vol. 178(C), pages 234-251.
    28. Gracious M. Diiro & Abdoul G. Sam & David Kraybill, 2017. "Heterogeneous Effects of Maternal Labor Market Participation on the Nutritional Status of Children: Empirical Evidence from Rural India," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 10(3), pages 609-632, September.
    29. Grigory Franguridi & Bulat Gafarov & Kaspar Wuthrich, 2020. "Bias correction for quantile regression estimators," Papers 2011.03073, arXiv.org, revised Feb 2025.
    30. Jia-Young Michael Fu & Joel L. Horowitz & Matthias Parey, 2015. "Testing exogeneity in nonparametric instrumental variables identified by conditional quantile restrictions," CeMMAP working papers CWP68/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    31. Zhenlin Yang & Liangjun Su, 2007. "Instrumental Variable Quantile Estimation of Spatial Autoregressive Models," Working Papers 05-2007, Singapore Management University, School of Economics.
    32. Lee, Sokbae, 2007. "Endogeneity in quantile regression models: A control function approach," Journal of Econometrics, Elsevier, vol. 141(2), pages 1131-1158, December.
    33. Baer, Werner & Galvão Jr., Antonio Fialho, 2008. "Tax burden, government expenditures and income distribution in Brazil," The Quarterly Review of Economics and Finance, Elsevier, vol. 48(2), pages 345-358, May.
    34. Brunello, Giorgio & Fabbri, Daniele & Fort, Margherita, 2009. "Years of Schooling, Human Capital and the Body Mass Index of European Females," IZA Discussion Papers 4667, IZA Network @ LISER.
    35. Bryan S. Graham & Jinyong Hahn & Alexandre Poirier & James L. Powell, 2016. "A quantile correlated random coefficients panel data model," CeMMAP working papers 34/16, Institute for Fiscal Studies.
    36. Gupta, Rangan & Ma, Jun & Risse, Marian & Wohar, Mark E., 2018. "Common business cycles and volatilities in US states and MSAs: The role of economic uncertainty," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 317-337.
    37. Andr s Oviedo-G mez & Sandra Milena Londo o-Hern ndez & Diego Fernando Manotas-Duque, 2021. "Electricity Price Fundamentals in Hydrothermal Power Generation Markets Using Machine Learning and Quantile Regression Analysis," International Journal of Energy Economics and Policy, International Journal of Energy Economics and Policy, vol. 11(5), pages 66-77.
    38. S. Goh, 2012. "Design-adaptive nonparametric estimation of conditional quantile derivatives," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 24(3), pages 597-612.
    39. Yingying DONG & Ying-Ying LEE & Michael GOU, 2019. "Regression Discontinuity Designs with a Continuous Treatment," Discussion papers 19058, Research Institute of Economy, Trade and Industry (RIETI).
    40. Apergis, Nicholas & Christou, Christina, 2015. "The behaviour of the bank lending channel when interest rates approach the zero lower bound: Evidence from quantile regressions," Economic Modelling, Elsevier, vol. 49(C), pages 296-307.
    41. Tae-Hwan Kim & Christophe Muller, 2017. "A Robust Test of Exogeneity Based on Quantile Regressions," Working Papers halshs-01508067, HAL.
    42. Bouoiyour, Jamal & Selmi, Refk, 2016. "The infernal couple China-Oil Price and the Responses of G7 Equities: A QQ Approach," MPRA Paper 70379, University Library of Munich, Germany.
    43. de Castro, Luciano & Galvao, Antonio F. & Ota, Hirofumi, 2026. "Quantile approach to intertemporal consumption with multiple assets," Journal of Econometrics, Elsevier, vol. 253(C).
    44. Fernández-Val, Iván & van Vuuren, Aico & Vella, Francis, 2018. "Nonseparable Sample Selection Models with Censored Selection Rules: An Application to Wage Decompositions," IZA Discussion Papers 11294, IZA Network @ LISER.
    45. Joel L. Horowitz & Sokbae (Simon) Lee, 2006. "Nonparametric instrumental variables estimation of a quantile regression model," CeMMAP working papers CWP09/06, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    46. Carlos Lamarche, 2023. "Quantile Regression with an Endogenous Misclassified Binary Regressor," CEDLAS, Working Papers 0318, CEDLAS, Universidad Nacional de La Plata.
    47. Gilpin, Gregory A., 2012. "Teacher salaries and teacher aptitude: An analysis using quantile regressions," Economics of Education Review, Elsevier, vol. 31(3), pages 15-29.
    48. Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2007. "Quantile and Probability Curves Without Crossing," Papers 0704.3649, arXiv.org, revised Jul 2014.
    49. Kan Kamhon & Li I-Hsin & Wang Ruei-Hua, 2015. "Intergenerational Income Mobility in Taiwan: Evidence from TS2SLS and Structural Quantile Regression," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 15(1), pages 257-284, January.
    50. Jun, Sung Jae, 2008. "Weak identification robust tests in an instrumental quantile model," Journal of Econometrics, Elsevier, vol. 144(1), pages 118-138, May.
    51. Chowdhury, Mohammad Ashraful Ferdous & Meo, Muhammad Saeed & Aloui, Chaker, 2021. "How world uncertainties and global pandemics destabilized food, energy and stock markets? Fresh evidence from quantile on quantile regressions," International Review of Financial Analysis, Elsevier, vol. 76(C).
    52. Chu, Jeffrey & Chan, Stephen & Zhang, Yuanyuan, 2021. "Bitcoin versus high-performance technology stocks in diversifying against global stock market indices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 580(C).
    53. Hiroaki Kaido & Kaspar Wuthrich, 2018. "Decentralization Estimators for Instrumental Variable Quantile Regression Models," Papers 1812.10925, arXiv.org, revised Sep 2020.
    54. Victor Chernozhukov & Christian Hansen, 2013. "Quantile Models with Endogeneity," Papers 1303.7050, arXiv.org.
    55. Nese Yildiz, 2012. "Estimation of Binary Choice Models with Linear Index and Dummy Endogenous Variables," Koç University-TUSIAD Economic Research Forum Working Papers 1202, Koc University-TUSIAD Economic Research Forum.
    56. Tae-Hwan Kim, & Christophe Muller, 2012. "Bias Transmission and Variance Reduction in Two-Stage Quantile Regression," AMSE Working Papers 1221, Aix-Marseille School of Economics, France.
    57. Sim, Nicholas, 2016. "Modeling the dependence structures of financial assets through the Copula Quantile-on-Quantile approach," International Review of Financial Analysis, Elsevier, vol. 48(C), pages 31-45.
    58. Clarke, Damian & Llorca-Jaña, Manuel & Pailañir, Daniel, 2021. "The Use of Quantile Methods in Economic History," IZA Discussion Papers 14659, IZA Network @ LISER.
    59. Bouri, Elie & Gupta, Rangan & Tiwari, Aviral Kumar & Roubaud, David, 2017. "Does Bitcoin hedge global uncertainty? Evidence from wavelet-based quantile-in-quantile regressions," Finance Research Letters, Elsevier, vol. 23(C), pages 87-95.
    60. Kaspar W thrich, 2015. "Semiparametric estimation of quantile treatment effects with endogeneity," Diskussionsschriften dp1509, Universitaet Bern, Departement Volkswirtschaft.
    61. Roger Koenker, 2017. "Quantile regression 40 years on," CeMMAP working papers 36/17, Institute for Fiscal Studies.
    62. Zhang, Hao & Cai, Guixin & Yang, Dongxiao, 2020. "The impact of oil price shocks on clean energy stocks: Fresh evidence from multi-scale perspective," Energy, Elsevier, vol. 196(C).
    63. Yonghong Jiang & Gengyu Tian & Bin Mo, 2020. "Spillover and quantile linkage between oil price shocks and stock returns: new evidence from G7 countries," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-26, December.
    64. Thaden, Hauke & Klein, Nadja & Kneib, Thomas, 2019. "Multivariate effect priors in bivariate semiparametric recursive Gaussian models," Computational Statistics & Data Analysis, Elsevier, vol. 137(C), pages 51-66.
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Articles

  1. Ma, Lingjie & Koenker, Roger, 2006. "Quantile regression methods for recursive structural equation models," Journal of Econometrics, Elsevier, vol. 134(2), pages 471-506, October.
    See citations under working paper version above.
  2. Koenker, Roger & Xiao, Zhijie, 2006. "Quantile Autoregression," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 980-990, September.

    Cited by:

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    4. Guo, Yawei & Li, Jianping & Li, Yehua & You, Wanhai, 2021. "The roles of political risk and crude oil in stock market based on quantile cointegration approach: A comparative study in China and US," Energy Economics, Elsevier, vol. 97(C).
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    11. Karadimitropoulou, Aikaterini & Koulmas, Pavlos & Michaelides, Panayotis G. & Triantafyllou, Athanasios, 2026. "From Paris to Pandemic: How climate risk and policy uncertainty shapes fossil and clean Energy commodities," Journal of Commodity Markets, Elsevier, vol. 41(C).
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    38. Das, Narasingha & Gangopadhyay, Partha & Alghamdi, Thamer & Sarwar, Suleman & Haseeb, Mohammad & Barut, Abdulkadir & Dey, Labani, 2023. "Understanding the role of efficiency in the electricity generation process for promoting human development in India: Findings from the novel multiple threshold nonlinear ARDL modelling," Utilities Policy, Elsevier, vol. 82(C).
    39. Jian Li & Jean‐Paul Chavas & Chongguang Li, 2022. "The dynamic effects of price support policy on price volatility: The case of the rice market in China," Agricultural Economics, International Association of Agricultural Economists, vol. 53(2), pages 307-320, March.
    40. Francq, Christian & Zakoian, Jean-Michel, 2019. "Virtual Historical Simulation for estimating the conditional VaR of large portfolios," MPRA Paper 95965, University Library of Munich, Germany.
    41. Christian Francq & Jean-Michel Zakoian, 2014. "Multi-level Conditional VaR Estimation in Dynamic Models," Working Papers 2014-01, Center for Research in Economics and Statistics.
    42. Jiang, Jinjin & Li, Haiqi, 2020. "A new measure for market efficiency and its application," Finance Research Letters, Elsevier, vol. 34(C).
    43. Sun, Jie & Zhao, Xiaojun & Xu, Chao, 2021. "Crude oil market autocorrelation: Evidence from multiscale quantile regression analysis," Energy Economics, Elsevier, vol. 98(C).
    44. Juan Carlos Escanciano & Carlos Velasco, 2008. "Specification Tests of Parametric Dynamic Conditional Quantiles," CAEPR Working Papers 2008-021, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    45. Ammy-Driss, Ayoub & Garcin, Matthieu, 2023. "Efficiency of the financial markets during the COVID-19 crisis: Time-varying parameters of fractional stable dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(C).
    46. Laporte A & Karimova A & Ferguson B, 2009. "Quantile Regression Analysis of the Rational Addiction Model: Making unobservable heterogeneity observable," Health, Econometrics and Data Group (HEDG) Working Papers 09/18, HEDG, c/o Department of Economics, University of York.
    47. Wang, Ningli & You, Wanhai, 2023. "New insights into the role of global factors in BRICS stock markets: A quantile cointegration approach," Economic Systems, Elsevier, vol. 47(2).
    48. Chavleishvili, Sulkhan & Moench, Emanuel, 2025. "Natural disasters as macroeconomic tail risks," Journal of Econometrics, Elsevier, vol. 247(C).
    49. Alexander, Carol & Han, Yang & Meng, Xiaochun, 2023. "Static and dynamic models for multivariate distribution forecasts: Proper scoring rule tests of factor-quantile versus multivariate GARCH models," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1078-1096.
    50. Bruzda, Joanna, 2019. "Quantile smoothing in supply chain and logistics forecasting," International Journal of Production Economics, Elsevier, vol. 208(C), pages 122-139.
    51. Chavleishvili, Sulkhan & Kremer, Manfred & Lund-Thomsen, Frederik, 2023. "Quantifying financial stability trade-offs for monetary policy: a quantile VAR approach," Working Paper Series 2833, European Central Bank.
    52. Chavas, Jean-Paul & Li, Jian & Wang, Linjie, 2024. "Option Pricing Revisited: The Role of Price Volatility and Dynamics," 2024 Annual Meeting, July 28-30, New Orleans, LA 343544, Agricultural and Applied Economics Association.
    53. Yunmi Kim & Lijuan Huo & Tae-Hwan Kim, 2020. "Dealing with Markov-Switching Parameters in Quantile Regression Models," Working papers 2020rwp-166, Yonsei University, Yonsei Economics Research Institute.
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    55. Maciejowska, Katarzyna, 2020. "Assessing the impact of renewable energy sources on the electricity price level and variability – A quantile regression approach," Energy Economics, Elsevier, vol. 85(C).
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    57. Ren, Yi-Shuai & Klein, Tony & Jiang, Yong & Liu, Pei-Zhi & Weber, Olaf, 2025. "Dynamic connectedness between crude oil futures and energy industrial bond credit spread: Evidence from China," Energy Economics, Elsevier, vol. 143(C).
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    883. Entorf, Horst & Sieger, Philip, 2014. "Does the Link between Unemployment and Crime Depend on the Crime Level? A Quantile Regression Approach," IZA Discussion Papers 8334, IZA Network @ LISER.
    884. Bojanic, David C. & Lo, Melody, 2016. "A comparison of the moderating effect of tourism reliance on the economic development for islands and other countries," Tourism Management, Elsevier, vol. 53(C), pages 207-214.
    885. Galina Besstremyannaya & Sergei Golovan, 2019. "Reconsideration of a simple approach to quantile regression for panel data: a comment on the Canay (2011) fixed effects estimator," Working Papers w0249, New Economic School (NES).
    886. Yunlong Liu & Xianlin Chang & Chengfeng Huang, 2022. "Research and Analysis on the Influencing Factors of China’s Carbon Emissions Based on a Panel Quantile Model," Sustainability, MDPI, vol. 14(13), pages 1-12, June.
    887. Lethiwe Nzama & Thanda Sithole & Sezer Bozkus Kahyaoglu, 2022. "The Impact of Government Effectiveness on Trade and Financial Openness: The Generalized Quantile Panel Regression Approach," JRFM, MDPI, vol. 16(1), pages 1-20, December.
    888. Li, Tong & Oka, Tatsushi, 2015. "Set identification of the censored quantile regression model for short panels with fixed effects," Journal of Econometrics, Elsevier, vol. 188(2), pages 363-377.
    889. Zhu, Huiming & Huang, Hui & Peng, Cheng & Yang, Yan, 2016. "Extreme dependence between crude oil and stock markets in Asia-Pacific regions: Evidence from quantile regression," Economics Discussion Papers 2016-46, Kiel Institute for the World Economy.
    890. Jorge Eduardo Camusso & Ana Inés Navarro, 2021. "Asymmetries in aggregate income risk over the business cycle: evidence from administrative data of Argentina," Asociación Argentina de Economía Política: Working Papers 4447, Asociación Argentina de Economía Política.
    891. Saleem, Ramsha & Chin Hong, Puah, 2025. "External Capital Resources and Export Diversification in Developing Countries," International Journal of Economics and Financial Issues, International Journal of Economics and Financial Issues, vol. 15(5), pages 367-379, August.
    892. Lin, Guixian & He, Xuming & Portnoy, Stephen, 2012. "Quantile regression with doubly censored data," Computational Statistics & Data Analysis, Elsevier, vol. 56(4), pages 797-812.
    893. Galina Besstremyannaya & Sergei Golovan, 2021. "Measuring heterogeneity with fixed effect quantile regression: Long panels and short panels," Applied Econometrics, Russian Academy of National Economy and Public Administration (RANEPA), vol. 64, pages 70-82.
    894. Tugce Acar & Derya Topdag, 2022. "OECD Ulkelerinde Sefalet Endeksi ve Ekonomik Kalkinma Ekseninde Saglik Harcamalarinin Belirleyicileri: Toplamsal Olmayan Sabit Etkili Panel Kantil Regresyon Yaklasimi," Journal of Social Policy Conferences, Istanbul University, Faculty of Economics, vol. 0(82), pages 267-286, June.
    895. Yunwen Yang & Huixia Judy Wang & Xuming He, 2016. "Posterior Inference in Bayesian Quantile Regression with Asymmetric Laplace Likelihood," International Statistical Review, International Statistical Institute, vol. 84(3), pages 327-344, December.
    896. Abdullah Albaker & Kashif Raza Abbasi & Akram Masoud Haddad & Magdalena Radulescu & Catalin Manescu & Georgiana Tatiana Bondac, 2023. "Analyzing the Impact of Renewable Energy and Green Innovation on Carbon Emissions in the MENA Region," Energies, MDPI, vol. 16(16), pages 1-19, August.
    897. Zhou, Hui & Awosusi, Abraham Ayobamiji & Dagar, Vishal & Zhu, Guohua & Abbas, Shujaat, 2023. "Unleashing the asymmetric effect of natural resources abundance on carbon emissions in regional comprehensive economic partnership: What role do economic globalization and disaggregating energy play?," Resources Policy, Elsevier, vol. 85(PA).

  5. Roger Koenker & Ivan Mizera, 2004. "Penalized triograms: total variation regularization for bivariate smoothing," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 66(1), pages 145-163, February.

    Cited by:

    1. Roger Koenker, 2017. "Quantile regression 40 years on," CeMMAP working papers CWP36/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. S.‐H. Arnaud Kanga & Ouagnina Hili & Sophie Dabo‐Niang & Assi N'Guessan, 2023. "Asymptotic properties of nonparametric quantile estimation with spatial dependency," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 77(3), pages 254-283, August.
    3. Jhong, Jae-Hwan & Koo, Ja-Yong, 2019. "Simultaneous estimation of quantile regression functions using B-splines and total variation penalty," Computational Statistics & Data Analysis, Elsevier, vol. 133(C), pages 228-244.
    4. Fritsch, Markus & Haupt, Harry & Ng, Pin T., 2016. "Urban house price surfaces near a World Heritage Site: Modeling conditional price and spatial heterogeneity," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 260-275.
    5. Charlier, Isabelle & Paindaveine, Davy & Saracco, Jérôme, 2015. "Conditional quantile estimation based on optimal quantization: From theory to practice," Computational Statistics & Data Analysis, Elsevier, vol. 91(C), pages 20-39.
    6. Kaplan, David M., 2015. "Improved quantile inference via fixed-smoothing asymptotics and Edgeworth expansion," Journal of Econometrics, Elsevier, vol. 185(1), pages 20-32.
    7. Otto-Sobotka, Fabian & Salvati, Nicola & Ranalli, Maria Giovanna & Kneib, Thomas, 2019. "Adaptive semiparametric M-quantile regression," Econometrics and Statistics, Elsevier, vol. 11(C), pages 116-129.
    8. Athanasios Tsagkanos & Konstantinos Gkillas & Christoforos Konstantatos & Christos Floros, 2021. "Does Trading Volume Drive Systemic Banks’ Stock Return Volatility? Lessons from the Greek Banking System," IJFS, MDPI, vol. 9(2), pages 1-13, April.
    9. Kun Meng & Ani Eloyan, 2021. "Principal manifold estimation via model complexity selection," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 83(2), pages 369-394, April.
    10. 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.
    11. Robert J. Hill & Miriam Steurer & Sofie R. Waltl, 2020. "Owner Occupied Housing, Inflation and Monetary Policy," Graz Economics Papers 2020-18, University of Graz, Department of Economics.
    12. Yue, Yu Ryan & Rue, Håvard, 2011. "Bayesian inference for additive mixed quantile regression models," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 84-96, January.
    13. Roger Koenker, 2017. "Quantile regression 40 years on," CeMMAP working papers 36/17, Institute for Fiscal Studies.
    14. Waltl, Sofie R., 2018. "Estimating quantile-specific rental yields for residential housing in Sydney," Regional Science and Urban Economics, Elsevier, vol. 68(C), pages 204-225.
    15. McMillen, Daniel, 2015. "Conditionally parametric quantile regression for spatial data: An analysis of land values in early nineteenth century Chicago," Regional Science and Urban Economics, Elsevier, vol. 55(C), pages 28-38.
    16. Lan Zhou & Huijun Pan, 2014. "Smoothing noisy data for irregular regions using penalized bivariate splines on triangulations," Computational Statistics, Springer, vol. 29(1), pages 263-281, February.
    17. Castiglione, Cristian & Arnone, Eleonora & Bernardi, Mauro & Farcomeni, Alessio & Sangalli, Laura M., 2025. "PDE-regularised spatial quantile regression," Journal of Multivariate Analysis, Elsevier, vol. 205(C).
    18. Matúš Maciak & Ivan Mizera, 2016. "Regularization techniques in joinpoint regression," Statistical Papers, Springer, vol. 57(4), pages 939-955, December.
    19. Robert J. Hill & Miriam Steurer & Sofie R. Waltl, 2019. "Owner Occupied Housing in the CPI and its Impact on Monetary Policy during Housing Booms and Busts," Department of Economics Working Papers wuwp285, Vienna University of Economics and Business, Department of Economics.
    20. Sophie Dabo-Niang & Sidi Ould-Abdi & Ahmedoune Ould-Abdi & Aliou Diop, 2014. "Consistency of a nonparametric conditional mode estimator for random fields," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 23(1), pages 1-39, March.
    21. Zhang, Likun & Castillo, Enrique del & Berglund, Andrew J. & Tingley, Martin P. & Govind, Nirmal, 2020. "Computing confidence intervals from massive data via penalized quantile smoothing splines," Computational Statistics & Data Analysis, Elsevier, vol. 144(C).
    22. Elisabeth Waldmann & Thomas Kneib & Yu Ryan Yu & Stefan Lang, 2012. "Bayesian semiparametric additive quantile regression," Working Papers 2012-06, Faculty of Economics and Statistics, Universität Innsbruck.
    23. Mele, Angelo, 2013. "Poisson indices of segregation," Regional Science and Urban Economics, Elsevier, vol. 43(1), pages 65-85.
    24. Monica Pratesi & M. Ranalli & Nicola Salvati, 2009. "Nonparametric -quantile regression using penalised splines," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 21(3), pages 287-304.
    25. Maarten Jansen & Guy P. Nason & B. W. Silverman, 2009. "Multiscale methods for data on graphs and irregular multidimensional situations," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 71(1), pages 97-125, January.
    26. Stéphane Goutte & Konstantinos N. Konstantakis & Dimitris Konstantios & Panayotis G. Michaelides & Arsenios‐georgios N. Prelorentzos, 2026. "Econometrics at the Extreme: From Quantile Regression to QFAVAR 1," Post-Print hal-05503058, HAL.
    27. Maria Marino & Alessio Farcomeni, 2015. "Linear quantile regression models for longitudinal experiments: an overview," METRON, Springer;Sapienza Università di Roma, vol. 73(2), pages 229-247, August.

  6. Wallace Hendricks & Lawrence DeBrock & Roger Koenker, 2003. "Uncertainty, Hiring, and Subsequent Performance: The NFL Draft," Journal of Labor Economics, University of Chicago Press, vol. 21(4), pages 857-886, October.

    Cited by:

    1. Michael A. Roach, 2018. "Testing Labor Market Efficiency Across Position Groups in the NFL," Journal of Sports Economics, , vol. 19(8), pages 1093-1121, December.
    2. Joshua D. Pitts & Brent Evans, 2019. "Drafting for Success: How Good Are NFL Teams at Identifying Future Productivity at Offensive-Skill Positions in the Draft?," The American Economist, Sage Publications, vol. 64(1), pages 102-122, March.
    3. W. David Allen & William P. Curington, 2018. "Managerial time constraints and young worker productivity: Natural experiments with NFL rookies," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 39(2), pages 180-199, March.
    4. Kerianne Lawson, 2021. "The Lasting Impact of NCAA Sanctions: SMU and the Death Penalty," Journal of Sports Economics, , vol. 22(8), pages 946-981, December.
    5. Maarten Vendrik & Christiane Schwieren, 2010. "Identification, screening and stereotyping in labour market discrimination," Journal of Economics, Springer, vol. 99(2), pages 141-171, March.
    6. W. David Allen, 2024. "Strategic employment of immigrant and native workers: Was the green card lottery a game changer?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 45(1), pages 428-445, January.
    7. Gregory-Smith, Ian & Bryson, Alex & Gomez, Rafael, 2022. "Discrimination in a Rank Order Contest. Evidence from the NFL Draft," IZA Discussion Papers 15473, IZA Network @ LISER.
    8. Keefer, Quinn A.W., 2019. "Decision-maker beliefs and the sunk-cost fallacy: Major League Baseball’s final-offer salary arbitration and utilization," Journal of Economic Psychology, Elsevier, vol. 75(PB).
    9. Carl T. Kitchens, 2015. "Are Winners Promoted Too Often? Evidence From The Nfl Draft 1999–2012," Economic Inquiry, Western Economic Association International, vol. 53(2), pages 1317-1330, April.
    10. Hochleitner, Anna & Tufano, Fabio & Facchini, Giovanni & Rueda, Valeria & Eberhardt, Markus, 2025. "How Tinted Are Your Glasses? Gender Views, Beliefs and Recommendations in Hiring," IZA Discussion Papers 17813, IZA Network @ LISER.
    11. Ichniowski, Casey & Preston, Anne, 2017. "Does March Madness lead to irrational exuberance in the NBA draft? High-value employee selection decisions and decision-making bias," Journal of Economic Behavior & Organization, Elsevier, vol. 142(C), pages 105-119.
    12. J.D. Pitts & B. Evans, 2018. "Evidence on the importance of cognitive ability tests for NFL quarterbacks: what are the relationships among Wonderlic scores, draft positions and NFL performance outcomes?," Applied Economics, Taylor & Francis Journals, vol. 50(27), pages 2957-2966, June.
    13. Geoffrey N Tuck & Shane A Richards, 2019. "Risk equivalence as an alternative to balancing mean value when trading draft selections and players in major sporting leagues," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-15, May.
    14. R Simmons & D Berri, 2007. "Does it pay to specialize? The story from the Gridiron," Working Papers 591134, Lancaster University Management School, Economics Department.
    15. Brad R. Humphreys & Jie Yang, 2014. "Peer Enforcement in Teams: Evidence from High-Skill Professional Workers with Repeated Interactions," Working Papers 14-24, Department of Economics, West Virginia University.
    16. Quinn A. W. Keefer, 2016. "Rank-Based Groupings and Decision Making," Journal of Sports Economics, , vol. 17(7), pages 748-762, October.
    17. Kevin G. Quinn & Melissa Geier & Anne Berkovitz, 2007. "Passing on Success? Productivity Outcomes for Quarterbacks Chosen in the 1999-2004 National Football League Player Entry Drafts," IASE Conference Papers 0711, International Association of Sports Economists.
    18. Wen-Jhan Jane, 2021. "The impact of cultural distance on salary: the case of Samurai Japan," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 11(1), pages 85-123, March.
    19. Barry Bozeman & Daniel Fay, 2013. "Minority Football Coaches’ Diminished Careers: Why is the “Pipeline” Clogged?," Social Science Quarterly, Southwestern Social Science Association, vol. 94(1), pages 29-58, March.
    20. Julianne Treme & Samuel K. Allen, 2009. "Widely Received: Payoffs to Player Attributes in the NFL," Economics Bulletin, AccessEcon, vol. 29(3), pages 1631-1643.
    21. Borghesi, Richard, 2008. "Allocation of scarce resources: Insight from the NFL salary cap," Journal of Economics and Business, Elsevier, vol. 60(6), pages 536-550.
    22. Boulier, Bryan L. & Stekler, H.O. & Coburn, Jason & Rankins, Timothy, 2010. "Evaluating National Football League draft choices: The passing game," International Journal of Forecasting, Elsevier, vol. 26(3), pages 589-605, July.
    23. Paul Oyer & Scott Schaefer, 2010. "Personnel Economics: Hiring and Incentives," NBER Working Papers 15977, National Bureau of Economic Research, Inc.
    24. Helmut Dietl & Markus Lang & Johannes Orlowski & Philipp Wegelin, 2023. "The Effect of the Initial Distribution of Labor-Related Property Rights on the Allocative Efficiency of Labor Markets," Working Papers 398, University of Zurich, Department of Business Administration (IBW).
    25. Rob Simmons & David Berri, 2009. "Gains from Specialization and Free Agency: The Story from the Gridiron," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 34(1), pages 81-98, February.
    26. Rogge, Nicky & Rowley, Paul, 2026. "Is it all about the stars? Spending on star players and success in the National Football League," Omega, Elsevier, vol. 138(C).
    27. Mario Lackner, 2010. "And most of us go Pro in something other than Sports - Hiring Preferences and their Effect on the Labor Market for Collegiate Football Players," Economics working papers 2010-10, Department of Economics, Johannes Kepler University Linz, Austria.
    28. Benno Torgler, 2004. "?La Grande Boucle?: Determinants of Success at the Tour de France," CREMA Working Paper Series 2004-22, Center for Research in Economics, Management and the Arts (CREMA), revised May 2005.
    29. Schmidt, Martin B., 2021. "Risk and uncertainty in team building: Evidence from a professional basketball market," Journal of Economic Behavior & Organization, Elsevier, vol. 186(C), pages 735-753.
    30. David J. Berri & Brad R. Humphreys & Robert Simmons, 2013. "Valuing the blind side: pay and performance of offensive linemen in the National Football League," Chapters, in: Plácido Rodríguez & Stefan Késenne & Jaume García (ed.), The Econometrics of Sport, chapter 6, pages 99-114, Edward Elgar Publishing.
    31. Michael Conlin & Patrick M. Emerson, 2006. "Discrimination in Hiring Versus Retention and Promotion: An Empirical Analysis of Within-Firm Treatment of Players in the NFL," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 22(1), pages 115-136, April.
    32. Scott Tainsky & Brian M. Mills & Jason A. Winfree, 2015. "Further Examination of Potential Discrimination Among MLB Umpires," Journal of Sports Economics, , vol. 16(4), pages 353-374, May.
    33. Sontrop, H. & van der Horn, P. & Uetz, M.J., 2005. "Fast ejection chain algorithms for vehicle routing with time windows," Research Memorandum 013, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    34. Joshua D. Pitts & Brent A. Evans, 2023. "New contracts and dismissal threats from highly drafted rookies: What motivates NFL quarterbacks?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(1), pages 4-16, January.
    35. Jill S. Harris, 2018. "State of Play: How Do College Football Programs Compete for Student Athletes?," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 52(2), pages 269-281, March.
    36. Brad R. Humphreys & Yulia Chikish & Peter von Allmen, 2024. "Should I Stay or Should I Go Pro? Early NFL Draft Entry by NCAA FBS Underclassmen," Journal of Sports Economics, , vol. 25(3), pages 346-368, April.
    37. Chen Liang & Yili Hong & Bin Gu, 2017. "Home Bias in Global Employment," Working Papers 17-06, NET Institute.
    38. Robert O Deaner & Aaron Lowen & Stephen Cobley, 2013. "Born at the Wrong Time: Selection Bias in the NHL Draft," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-7, February.
    39. Yili Hong & Jing Peng & Gordon Burtch & Ni Huang, 2021. "Just DM Me (Politely): Direct Messaging, Politeness, and Hiring Outcomes in Online Labor Markets," Information Systems Research, INFORMS, vol. 32(3), pages 786-800, September.
    40. Kuhnen, Camelia M. & Oyer, Paul, 2012. "Exploration for human capital: Theory and evidence from the MBA labor market," MPRA Paper 39411, University Library of Munich, Germany.
    41. Sylvie Blasco & Barbara Pertold-Gebicka, 2012. "Employment Policies, Hiring Practices and Firm Performance," Working Papers 2012-27, Center for Research in Economics and Statistics.
    42. Camelia M. Kuhnen & Paul Oyer, 2015. "Exploration for Human Capital: Evidence from the MBA Labor Market," NBER Working Papers 20825, National Bureau of Economic Research, Inc.
    43. Tobias Berger & Frank Daumann, 2021. "Anchoring bias in the evaluation of basketball players: A closer look at NBA draft decision‐making," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(5), pages 1248-1262, July.
    44. Joshua D. Pitts & Brent Evans, 2019. "Manager impacts on worker performance in American football: Do offensive coordinators impact quarterback performance in the National Football League?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 40(1), pages 105-118, January.
    45. Borland, Jeff & Lee, Leng & Macdonald, Robert D., 2011. "Escalation effects and the player draft in the AFL," Labour Economics, Elsevier, vol. 18(3), pages 371-380, June.
    46. Dennis Coates & Babatunde Oguntimein, 2008. "The Length and Success of NBA Careers: Does College Production Predict Professional Outcomes?," Working Papers 0806, International Association of Sports Economists;North American Association of Sports Economists.
    47. Florian L. Kutzner & Daniel Read & Neil Stewart & Gordon Brown, 2017. "Choosing the Devil You Don’t Know: Evidence for Limited Sensitivity to Sample Size–Based Uncertainty When It Offers an Advantage," Management Science, INFORMS, vol. 63(5), pages 1519-1528, May.

  7. Yannis Bilias & Roger Koenker, 2001. "Quantile regression for duration data: A reappraisal of the Pennsylvania Reemployment Bonus Experiments," Empirical Economics, Springer, vol. 26(1), pages 199-220.

    Cited by:

    1. Aubrey D. Tabuga, 2007. "International Remittances and Household Expenditures : The Philippine Case," Development Economics Working Papers 22698, East Asian Bureau of Economic Research.
    2. Liu, Sezhu & Hite, Diane, 2013. "Measuring the Effect of Green Space on Property Value: An Application of the Hedonic Spatial Quantile Regression," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 143045, Southern Agricultural Economics Association.
    3. Chen, Songnian, 2010. "An integrated maximum score estimator for a generalized censored quantile regression model," Journal of Econometrics, Elsevier, vol. 155(1), pages 90-98, March.
    4. Lüdemann, Elke & Wilke, Ralf A. & Zhang, Xuan, 2004. "Censored Quantile Regressions and the Length of Unemployment Periods in West Germany," ZEW Discussion Papers 04-57, ZEW - Leibniz Centre for European Economic Research.
    5. Ozkan Eren & Serkan Ozbeklik, 2014. "Who Benefits From Job Corps? A Distributional Analysis Of An Active Labor Market Program," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(4), pages 586-611, June.
    6. Chen, Songnian, 2019. "Quantile regression for duration models with time-varying regressors," Journal of Econometrics, Elsevier, vol. 209(1), pages 1-17.
    7. Antecol, Heather & Eren, Ozkan & Ozbeklik, Serkan, 2013. "The effect of Teach for America on the distribution of student achievement in primary school: Evidence from a randomized experiment," Economics of Education Review, Elsevier, vol. 37(C), pages 113-125.
    8. Efang Kong & Oliver Linton & Yingcun Xia, 2011. "Global Bahadur representation for nonparametric censored regression quantiles and its applications," CeMMAP working papers CWP33/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    9. Fitzenberger, Bernd & Wilke, Ralf A., 2005. "Using Quantile Regression for Duration Analysis," ZEW Discussion Papers 05-65, ZEW - Leibniz Centre for European Economic Research.
    10. Christian Manuel Posso, 2010. "Calidad del empleo y segmentación laboral: un análisis para el mercado laboral colombiano 2001-2006," Revista Desarrollo y Sociedad, Universidad de los Andes,Facultad de Economía, CEDE.
    11. Kelchtermans, Stijn & Veugelers, Reinhilde, 2009. "The Great Divide in Scientific Productivity. Why the Average Scientist Does Not Exist," Working Papers 2009/01, Hogeschool-Universiteit Brussel, Faculteit Economie en Management.
    12. Mark J. Holmes & Jesús Otero & Theodore Panagiotidis, 2011. "Investigating Regional House Price Convergence in the United States: Evidence from a Pair-Wise Approach," Working Paper series 29_11, Rimini Centre for Economic Analysis.
    13. Santos, Carlos, 2011. "The euro sovereign debt crisis, determinants of default probabilities and implied ratings in the CDS market: an econometric analysis," MPRA Paper 31341, University Library of Munich, Germany.
    14. Wagner, Joachim, 2011. "Exports, Foreign Direct Investments and Productivity: Are Services Firms Different?," IZA Discussion Papers 6009, IZA Network @ LISER.
    15. Mickaël De Backer & Anouar El Ghouch & Ingrid Van Keilegom, 2020. "Linear censored quantile regression: A novel minimum‐distance approach," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 47(4), pages 1275-1306, December.
    16. Achim Schmillen & Joachim Möller, 2010. "Determinants of Lifetime Unemployment. A Micro Data Analysis with Censored Quantile Regressions," Working Papers 090, Bavarian Graduate Program in Economics (BGPE).
    17. Mullahy, John, 2018. "Individual results may vary: Inequality-probability bounds for some health-outcome treatment effects," Journal of Health Economics, Elsevier, vol. 61(C), pages 151-162.
    18. Wolfgang Nagl & Michael Weber, 2014. "Unemployment compensation and unemployment duration before and after the German Hartz IV reform," ifo Working Paper Series 186, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    19. Chen, Songnian, 2023. "Two-step estimation of censored quantile regression for duration models with time-varying regressors," Journal of Econometrics, Elsevier, vol. 235(2), pages 1310-1336.
    20. Kyyrä, Tomi & Wilke, Ralf A., 2004. "Reduction in the Long-Term Unemployment of the Elderly: A Success Story from Finland," Discussion Papers 346, VATT Institute for Economic Research.
    21. 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.
    22. Jean-Pierre Lachaud, 2010. "Dynamique des profits des micro-entreprises urbaines et genre à Madagascar. Une approche de régressions quantiles," Working Papers hal-00616788, HAL.
    23. Kyyrä, Tomi & Wilke, Ralf A., 2006. "Reduction in the Long-Term Unemployment of the Elderly: A Success Story from Finland Revised," Discussion Papers 396, VATT Institute for Economic Research.
    24. Houssou, Nazaire & Zeller, Manfred & Alcaraz V., Gabriela & Johannsen, Julia & Schwarze, Stefan, 2010. "How Best to Target the Poor? An operational targeting of the poor using indicator-based proxy means tests," 2010 AAAE Third Conference/AEASA 48th Conference, September 19-23, 2010, Cape Town, South Africa 95780, African Association of Agricultural Economists (AAAE).
    25. Kloß, Michael & Nagl, Wolfgang, 2013. "Unemployment compensation and unemployment duration - Evidence from the German Hartz IV reform," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79711, Verein für Socialpolitik / German Economic Association.
    26. Nicoletti, Cheti & G. Best, Nicky, 2011. "Quantile regression with aggregated data," ISER Working Paper Series 2011-12, Institute for Social and Economic Research.
    27. Bernd Fitzenberger & Ralf A. Wilke, 2010. "New Insights into Unemployment Duration and Post Unemployment Earnings in Germany," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(6), pages 794-826, December.
    28. De Backer, Mickael & El Ghouch, Anouar & Van Keilegom, Ingrid, 2016. "Semiparametric Copula Quantile Regression for Complete or Censored Data," LIDAM Discussion Papers ISBA 2016009, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    29. Shuolin Shi & Ralf A. Wilke, 2022. "Variable selection with group structure: exiting employment at retirement age—a competing risks quantile regression analysis," Empirical Economics, Springer, vol. 62(1), pages 119-155, January.
    30. Djebbari, Habiba & Smith, Jeffrey, 2008. "Heterogeneous impacts in PROGRESA," Journal of Econometrics, Elsevier, vol. 145(1-2), pages 64-80, July.
    31. Tommaso Gabrieli & Antonio F. Galvao, Jr. & Antonio F. Galvao, Jr., 2010. "Who Benefits from Reducing the Cost of Formality? Quantile Regression Discontinuity Analysis," Real Estate & Planning Working Papers rep-wp2010-11, Henley Business School, University of Reading.
    32. Carlos Alberto Foronda Rojas & Andrea Alcaráz, 2015. "Estimación y características de la duración del desempleo en Bolivia," Investigación & Desarrollo 0215, Universidad Privada Boliviana.
    33. Luisa Alamá Sabater & Emili Tortosa Ausina, 2011. "Bank branch geographic location patterns in Spain: some implications for financial exclusion," Working Papers. Serie EC 2011-10, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    34. Xavier D’Haultfoeuille & Pauline Givord, 2014. "La régression quantile en pratique," Économie et Statistique, Programme National Persée, vol. 471(1), pages 85-111.
    35. Schmillen, Achim & Möller, Joachim, 2012. "Distribution and determinants of lifetime unemployment," Labour Economics, Elsevier, vol. 19(1), pages 33-47.
    36. Mário Centeno & Álvaro A. Novo, 2007. "The Regressivity of Unemployment Insurance: Identification of the Income Effect Through the July 1999 Legislation," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    37. Boockmann, Bernhard & Steffes, Susanne, 2007. "Seniority and Job Stability: A Quantile Regression Approach Using Matched Employer-Employee Data," ZEW Discussion Papers 07-014, ZEW - Leibniz Centre for European Economic Research.
    38. Brown, Sarah & Taylor, Karl, 2011. "Household Finances and the 'Big Five' Personality Traits," IZA Discussion Papers 6191, IZA Network @ LISER.
    39. Rahul Kapoor & Ron Adner, 2012. "What Firms Make vs. What They Know: How Firms' Production and Knowledge Boundaries Affect Competitive Advantage in the Face of Technological Change," Organization Science, INFORMS, vol. 23(5), pages 1227-1248, October.
    40. Buhl-Wiggers, Julie & Kerwin, Jason T. & Muñoz-Morales, Juan & Smith, Jeffrey & Thornton, Rebecca, 2024. "Some children left behind: Variation in the effects of an educational intervention," Journal of Econometrics, Elsevier, vol. 243(1).
    41. Marcel Voia & Liqun Wang & Ricardas Zitikis, 2009. "A Distributional Analysis of Treatment Effects on Subpopulations of a Socioeconomic Experiment," Carleton Economic Papers 09-02, Carleton University, Department of Economics, revised 05 Feb 2010.
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    919. Jiranyakul, Komain, 2020. "The Linkages between Inflation and Inflation Uncertainty in Selected Asian Economies: Evidence from Quantile Regression," MPRA Paper 99868, University Library of Munich, Germany.
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    927. LIU, Shu-Bing & KANG, Hsin-Hong & HSUEH, Shun-Jen, 2018. "Does Corporate Social Responsibility Lead To Superior Performance?," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", vol. 22(3), pages 6-22, September.
    928. Takahiro Ito, 2009. "Education and Its Distributional Impacts on Living Standards," Global COE Hi-Stat Discussion Paper Series gd09-080, Institute of Economic Research, Hitotsubashi University.
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    965. Huang, Ling-Wei & Shao, Yuan-Hai & Lv, Xiao-Jing & Li, Chun-Na, 2024. "Large-scale robust regression with truncated loss via majorization-minimization algorithm," European Journal of Operational Research, Elsevier, vol. 319(2), pages 494-504.
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    973. Pablo Moran, 2017. "Information Revelation in Merger Waves," The Review of Corporate Finance Studies, Society for Financial Studies, vol. 6(2), pages 174-233.
    974. Arabsheibani, Reza & Staneva, Anita, 2012. "Returns to Education in Russia: Where There Is Risky Sexual Behaviour There Is Also an Instrument," IZA Discussion Papers 6726, IZA Network @ LISER.
    975. George L. Wehby & Jeffrey C. Murray & Eduardo E. Castilla & Jorge S. Lopez‐Camelo & Robert L. Ohsfeldt, 2009. "Quantile effects of prenatal care utilization on birth weight in Argentina," Health Economics, John Wiley & Sons, Ltd., vol. 18(11), pages 1307-1321, November.
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    977. Andini, Corrado, 2009. "How Fast Do Wages Adjust to Human-Capital Productivity? Dynamic Panel-Data Evidence from Belgium, Denmark and Finland," IZA Discussion Papers 4583, IZA Network @ LISER.
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    986. Robert Pollin & Michael Ash & Andong Zhu, 2002. "Stock Market Liquidity and Economic Growth: A Critical Appraisal of the Levine/Zervos Model," Working Papers wp47, Political Economy Research Institute, University of Massachusetts at Amherst.
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    1507. Zeinedini, Sh & Karimi, M. Sh & Khanzadi, A., 2022. "Impact of global oil and gold prices on the Iran stock market returns during the Covid-19 pandemic using the quantile regression approach," Resources Policy, Elsevier, vol. 76(C).
    1508. Alexandre Gazaniol & Frédéric Peltrault & Jean-Marc Siroen, 2010. "Les performances des entreprises françaises implantées à l’étranger," Économie et Statistique, Programme National Persée, vol. 435(1), pages 149-167.
    1509. Bojanic, David C. & Lo, Melody, 2016. "A comparison of the moderating effect of tourism reliance on the economic development for islands and other countries," Tourism Management, Elsevier, vol. 53(C), pages 207-214.
    1510. Bangake, Chrysost & Avom, Désiré & Pondie, Thierry Messie, 2025. "Exploring the links between energy poverty and international migration: Evidence from developing countries," Energy Policy, Elsevier, vol. 206(C).
    1511. Luke B. Smith & Brian J. Reich & Amy H. Herring & Peter H. Langlois & Montserrat Fuentes, 2015. "Multilevel quantile function modeling with application to birth outcomes," Biometrics, The International Biometric Society, vol. 71(2), pages 508-519, June.
    1512. Ogutu, Sylvester Ochieng & Ochieng, Dennis O. & Qaim, Matin, 2020. "Supermarket contracts and smallholder farmers: Implications for income and multidimensional poverty," Food Policy, Elsevier, vol. 95(C).
    1513. Quentin David, 2009. "The Determinants of Research Production by U.S. Universities," DEM Discussion Paper Series 09-16, Department of Economics at the University of Luxembourg.
    1514. Norets, Andriy & Pelenis, Justinas, 2012. "Bayesian modeling of joint and conditional distributions," Journal of Econometrics, Elsevier, vol. 168(2), pages 332-346.
    1515. Lozano, Fernando A. & Steinberger, Michael D., 2010. "Empirical Methods in the Economics of International Immigration," IZA Discussion Papers 5328, IZA Network @ LISER.
    1516. Block, Joern H. & De Vries, Geertjan & Schumann, Jan H. & Sandner, Philipp, 2014. "Trademarks and venture capital valuation," Journal of Business Venturing, Elsevier, vol. 29(4), pages 525-542.
    1517. Banri ITO & Ayumu TANAKA, 2013. "Open Innovation, Productivity, and Export: Evidence from Japanese firms," Discussion papers 13006, Research Institute of Economy, Trade and Industry (RIETI).
    1518. Vithessonthi, Chaiporn, 2014. "Financial markets development and bank risk: Experience from Thailand during 1990–2012," Journal of Multinational Financial Management, Elsevier, vol. 27(C), pages 67-88.
    1519. Al Rababa'a, Abdel Razzaq & Alomari, Mohammad & Mensi, Walid & Matar, Ali & Saidat, Zaid, 2021. "Does tracking the infectious diseases impact the gold, oil and US dollar returns and correlation? A quantile regression approach," Resources Policy, Elsevier, vol. 74(C).
    1520. Caamal Olvera, Cinthya G., 2013. "Effects of manufacturing dynamics on returns to education in the North of Mexico," MPRA Paper 55211, University Library of Munich, Germany.
    1521. Gallego-Álvarez, Prof. Isabel & Ortas, Prof. Eduardo, 2017. "Corporate environmental sustainability reporting in the context of national cultures: A quantile regression approach," International Business Review, Elsevier, vol. 26(2), pages 337-353.
    1522. Pieroni, L. & Salmasi, L., 2014. "Fast-food consumption and body weight. Evidence from the UK," Food Policy, Elsevier, vol. 46(C), pages 94-105.
    1523. Florian Leon, 2019. "The elusive quest for high- growth firms in Africa: The (lack of) growth persistence in Senegal," Working Papers hal-02493326, HAL.
    1524. Clatworthy, Mark A. & Peel, Michael J., 2016. "The timeliness of UK private company financial reporting: Regulatory and economic influences," The British Accounting Review, Elsevier, vol. 48(3), pages 297-315.
    1525. Nugroho Sasikirono & Sumiati Sumiati & Nur Khusniyah Indrawati, 2018. "Underpricing and long-term market performance of initial public offerings in Indonesia: A quantile regression approach," Business and Economic Horizons (BEH), Prague Development Center, vol. 14(1), pages 152-167, January.
    1526. Grullon, Gustavo & Hund, John & Weston, James P., 2018. "Concentrating on q and cash flow," Journal of Financial Intermediation, Elsevier, vol. 33(C), pages 1-15.
    1527. Miikka Kaurijoki & Jussi Nikkinen & Janne Äijö, 2015. "Return‐Implied Volatility Dynamics of High and Low Yielding Currencies," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 35(11), pages 1026-1041, November.
    1528. Franguridi, Grigory & Gafarov, Bulat & Wüthrich, Kaspar, 2025. "Bias correction for quantile regression estimators," Journal of Econometrics, Elsevier, vol. 251(C).

  9. Koenker, Roger & Machado, Jose A. F., 1999. "GMM inference when the number of moment conditions is large," Journal of Econometrics, Elsevier, vol. 93(2), pages 327-344, December.

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    1. Ronchetti, Elvezio & Trojani, Fabio, 2001. "Robust inference with GMM estimators," Journal of Econometrics, Elsevier, vol. 101(1), pages 37-69, March.
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    3. Demian Pouzo, 2014. "Bootstrap Consistency for Quadratic Forms of Sample Averages with Increasing Dimension," Papers 1411.2701, arXiv.org, revised Aug 2015.
    4. Lea Steininger & Michael Sigmund, 2020. "Reciprocity in bank regulatory reforms and income inequality: first evidence from a panel vector autoregression analysis," Empirical Economics, Springer, vol. 59(4), pages 1537-1572, October.
    5. Stanislav Anatolyev, 2009. "Inference in Regression Models with Many Regressors," Working Papers w0125, New Economic School (NES).
    6. Marco Bonomo & René Garcia, 1997. "Tests of Conditional Asset Pricing Models in the Brazilian Stock Market," CIRANO Working Papers 97s-20, CIRANO.
    7. James Mitchell & Aubrey Poon & Dan Zhu, 2024. "Constructing density forecasts from quantile regressions: Multimodality in macrofinancial dynamics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(5), pages 790-812, August.
    8. Zhentao Shi, 2016. "Estimation of Sparse Structural Parameters with Many Endogenous Variables," Econometric Reviews, Taylor & Francis Journals, vol. 35(8-10), pages 1582-1608, December.
    9. Beum-Jo Park, 2009. "Risk-return relationship in equity markets: using a robust GMM estimator for GARCH-M models," Quantitative Finance, Taylor & Francis Journals, vol. 9(1), pages 93-104.
    10. Brinja Meiseberg, 2014. "Trust the artist versus trust the tale: performance implications of talent and self-marketing in folk music," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 38(1), pages 9-42, February.
    11. Theodore Panagiotidis & Gianluigi Pelloni, 2014. "Asymmetry and Lilien's Sectoral Shifts Hypothesis: A Quantile Regression Approach," Working Paper series 15_14, Rimini Centre for Economic Analysis.
    12. Abhimanyu Gupta & Xi Qu & Sorawoot Srisuma & Jiajun Zhang, 2025. "Wald inference on varying coefficients," Papers 2502.03084, arXiv.org, revised Jan 2026.
    13. Olayinka Erin & Omololu Adex Bamigboye, 2020. "Does whistleblowing framework influence earnings management? An empirical investigation," International Journal of Disclosure and Governance, Palgrave Macmillan, vol. 17(2), pages 111-122, September.
    14. Patrick Richard, 2014. "Bootstrap tests in linear models with many regressors," Cahiers de recherche 14-06, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.
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    16. Travaglini, Guido, 2007. "The U.S. Dynamic Taylor Rule With Multiple Breaks, 1984-2001," MPRA Paper 3419, University Library of Munich, Germany, revised 15 Jun 2007.
    17. Stanislav Anatolyev & Nikolay Gospodinov, 2008. "Specification Testing in Models with Many Instruments," Working Papers w0124, New Economic School (NES).
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    19. Paul Alagidede & Theodore Panagiotidis, 2012. "Stock returns and Inflation:Evidence from Quantile Regressions," Discussion Paper Series 2012_04, Department of Economics, University of Macedonia, revised Apr 2012.
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    23. ?ikolaos A. Kyriazis, 2023. "Twitter‘s happiness sentiment index impacts on financial markets: an integrated overview of empirical findings," Bulletin of Applied Economics, Risk Market Journals, vol. 10(2), pages 47-66.
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    35. T. Panagiotidis & G. Pelloni, 2013. "Employment Reallocation and Unemployment Revisited: A Quantile Regression Approach," Working Papers wp881, Dipartimento Scienze Economiche, Universita' di Bologna.
    36. Chen, Xiaohong & Linton, Oliver & Jacho-Chávez, David T., 2009. "An alternative way of computing efficient instrumental variable estimators," LSE Research Online Documents on Economics 58016, London School of Economics and Political Science, LSE Library.
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    1. Fischer, Manfred M. & Stirböck, Claudia, 2005. "Regional Income Convergence in Europe, 1995-2000: A Spatial Econometric Perspective," MPRA Paper 77784, University Library of Munich, Germany.
    2. Holger Dette & Mareen Marchlewski & Jens Wagener, 2012. "Testing for a constant coefficient of variation in nonparametric regression by empirical processes," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 64(5), pages 1045-1070, October.
    3. Chien-Ming Yu & Pei-Fen Chen, 2018. "House Prices, Mortgage Rate, and Policy: Megadata Analysis in Taipei," Sustainability, MDPI, vol. 10(4), pages 1-23, March.
    4. Dufour, Jean-Marie & Khalaf, Lynda & Bernard, Jean-Thomas & Genest, Ian, 2004. "Simulation-based finite-sample tests for heteroskedasticity and ARCH effects," Journal of Econometrics, Elsevier, vol. 122(2), pages 317-347, October.
    5. Shinkyu, Akira, 2025. "Testing Heteroskedasticity in High‐Dimensional Linear Regression," Econometrics and Statistics, Elsevier, vol. 35(C), pages 120-134.
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    8. Jose Antonio Cabral Vieira & Joao Pedro Couto & Maria Teresa Tiago, 2006. "Regional Differences in Returns to Education in Portugal," ERSA conference papers ersa06p44, European Regional Science Association.
    9. Huber, Martin & Melly, Blaise, 2011. "Quantile Regression in the Presence of Sample Selection," Economics Working Paper Series 1109, University of St. Gallen, School of Economics and Political Science.
    10. Fulvio Castellacci & Bart Los & Gaaitzen Vries, 2014. "Sectoral productivity trends: convergence islands in oceans of non-convergence," Journal of Evolutionary Economics, Springer, vol. 24(5), pages 983-1007, November.
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    1. Guo, Yawei & Li, Jianping & Li, Yehua & You, Wanhai, 2021. "The roles of political risk and crude oil in stock market based on quantile cointegration approach: A comparative study in China and US," Energy Economics, Elsevier, vol. 97(C).
    2. Ahmed, Walid M.A., 2021. "How do Islamic equity markets respond to good and bad volatility of cryptocurrencies? The case of Bitcoin," Pacific-Basin Finance Journal, Elsevier, vol. 70(C).
    3. Sungwon Lee & Joon H. Ro, 2020. "Nonparametric Tests for Conditional Quantile Independence with Duration Outcomes," Working Papers 2013, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    4. Ahmed, Walid M.A. & Al Mafrachi, Mustafa, 2021. "Do higher-order realized moments matter for cryptocurrency returns?," International Review of Economics & Finance, Elsevier, vol. 72(C), pages 483-499.
    5. Cheng Cheng & Xiaohang Ren & Zhen Wang & Yukun Shi, 2018. "The Impacts of Non-Fossil Energy, Economic Growth, Energy Consumption, and Oil Price on Carbon Intensity: Evidence from a Panel Quantile Regression Analysis of EU 28," Sustainability, MDPI, vol. 10(11), pages 1-20, November.
    6. Dong, Kangyin & Jia, Rongwen & Zhao, Congyu & Wang, Kun, 2023. "Can smart transportation inhibit carbon lock-in? The case of China," Transport Policy, Elsevier, vol. 142(C), pages 59-69.
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    11. Lv, Zhike, 2017. "The effect of democracy on CO2 emissions in emerging countries: Does the level of income matter?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 900-906.
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    1. Mohammad Arshad Rahman & Angela Vossmeyer, 2019. "Estimation and Applications of Quantile Regression for Binary Longitudinal Data," Papers 1909.05560, arXiv.org.

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    2. Robert William Fogel, 1990. "The Conquest of High Mortality and Hunger in Europe and America: Timing and Mechanisms," NBER Historical Working Papers 0016, National Bureau of Economic Research, Inc.
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