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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. Oliver Linton & Dajing Shang & Yang Yan, 2012. "Efficient estimation of conditional risk measures in a semiparametric GARCH model," CeMMAP working papers 25/12, Institute for Fiscal Studies.
    2. 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.
    3. Massimiliano Caporin & Loriana Pelizzon & Francesco Ravazzolo & Roberto Rigobon, 2013. "Measuring Sovereign Contagion in Europe," NBER Working Papers 18741, National Bureau of Economic Research, Inc.
    4. 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.
    5. 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.
    6. Massimiliano Caporin & Rangan Gupta & Francesco Ravazzolo, 2019. "Contagion between Real Estate and Financial Markets: A Bayesian Quantile-on-Quantile Approach," BEMPS - Bozen Economics & Management Paper Series BEMPS61, Faculty of Economics and Management at the Free University of Bozen.
    7. 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.
    8. 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.
    9. Nieto, Maria Rosa & Ruiz, Esther, 2016. "Frontiers in VaR forecasting and backtesting," International Journal of Forecasting, Elsevier, vol. 32(2), pages 475-501.

  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. 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".
    2. 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.
    3. 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.
    4. Frantisek Cech & Jozef Barunik, 2017. "Measurement of Common Risk Factors: A Panel Quantile Regression Model for Returns," Working Papers IES 2017/20, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Sep 2017.
    5. Manganelli, Simone, 2007. "Asset allocation by penalized least squares," Working Paper Series 723, European Central Bank.
    6. Giovanni Bonaccolto, 2021. "Quantile– based portfolios: post– model– selection estimation with alternative specifications," Computational Management Science, Springer, vol. 18(3), pages 355-383, July.
    7. Abdelaati Daouia & Irene Gijbels & Gilles Stupfler, 2021. "Extremile regression," Post-Print hal-03181017, HAL.
    8. 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.
    9. Franco Peracchi & Andrei V. Tanase, 2008. "On estimating the conditional expected shortfall," CEIS Research Paper 122, Tor Vergata University, CEIS, revised 14 Jul 2008.
    10. Mario Brandtner, 2016. "Spektrale Risikomaße: Konzeption, betriebswirtschaftliche Anwendungen und Fallstricke," Management Review Quarterly, Springer, vol. 66(2), pages 75-115, April.
    11. 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).
    12. 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.
    13. Giovanni Bonaccolto, 2019. "Critical Decisions for Asset Allocation via Penalized Quantile Regression," Papers 1908.04697, arXiv.org.
    14. Jozef Baruník & Matěj Nevrla, 2023. "Quantile Spectral Beta: A Tale of Tail Risks, Investment Horizons, and Asset Prices," Journal of Financial Econometrics, Oxford University Press, vol. 21(5), pages 1590-1646.
    15. Alexandre Street, 2010. "On the Conditional Value-at-Risk probability-dependent utility function," Theory and Decision, Springer, vol. 68(1), pages 49-68, February.
    16. 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.
    17. Hirbod Assa & Nikolay Gospodinov, 2017. "A Robust Approach to Hedging and Pricing in Imperfect Markets," Risks, MDPI, vol. 5(3), pages 1-20, July.
    18. 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.
    19. 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.
    20. 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.
    21. Luciano De Castro & Antonio F. Galvao & Gabriel Montes Rojas & José Olmo, 2020. "Portfolio Selection in Quantile Decision Models," Working Papers 11, Red Nacional de Investigadores en Economía (RedNIE).
    22. 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.
    23. 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.
    24. 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.
    25. Millner, Antony & Dietz, Simon & Heal, Geoffrey, 2010. "Ambiguity and climate policy," LSE Research Online Documents on Economics 37595, London School of Economics and Political Science, LSE Library.
    26. 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.
    27. Weidong Lin & Jose Olmo & Abderrahim Taamouti, 2022. "Portfolio Selection Under Systemic Risk," Working Papers 202208, University of Liverpool, Department of Economics.
    28. 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.
    29. Nikolay Gospodinov, 2017. "Asset Co-movements: Features and Challenges," FRB Atlanta Working Paper 2017-11, Federal Reserve Bank of Atlanta.
    30. Christian Gourieroux & Wei Liu, 2006. "Sensitivity Analysis of Distortion Risk Measures," Working Papers 2006-33, Center for Research in Economics and Statistics.
    31. 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.
    32. 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).
    33. Sungchul Hong & Jong-June Jeon, 2023. "Uniform Pessimistic Risk and its Optimal Portfolio," Papers 2303.07158, arXiv.org, revised May 2024.
    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. Marc Hallin & Davy Paindaveine & Miroslav Šiman, 2010. "Multivariate quantiles and multiple-output regression quantiles: From L1 optimization to halfspace depth," ULB Institutional Repository 2013/127979, ULB -- Universite Libre de Bruxelles.
    36. Hanqing Jin & Xun Yu Zhou, 2008. "Behavioral Portfolio Selection In Continuous Time," Mathematical Finance, Wiley Blackwell, vol. 18(3), pages 385-426, July.
    37. Pauline Barrieu & Sinclair Desgagn�, 2009. "Economic policy when models disagree," GRI Working Papers 4, Grantham Research Institute on Climate Change and the Environment.
    38. 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.
    39. 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.
    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. 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.
    42. 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).
    43. 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.
    44. Christis Katsouris, 2021. "Optimal Portfolio Choice and Stock Centrality for Tail Risk Events," Papers 2112.12031, arXiv.org.
    45. Dominique Guegan & Bertrand K. Hassani, 2019. "Risk Measurement," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-02119256, HAL.
    46. 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.
    47. 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.
    48. 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.
    49. 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.
    50. 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.
    51. 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.
    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. Melenberg, B. & Polbennikov, S.Y., 2005. "Testing for Mean-Coherent Regular Risk Spanning," Discussion Paper 2005-99, Tilburg University, Center for Economic Research.
    55. 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).

  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. Jun, Sung Jae & Pinkse, Joris & Xu, Haiqing, 2011. "Tighter bounds in triangular systems," Journal of Econometrics, Elsevier, vol. 161(2), pages 122-128, April.
    2. 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 CWP48/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. 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.
    4. Syed Jawad Hussain Shahzad & Saba Ameer & Muhammad Shahbaz, 2016. "Disaggregating the correlation under bearish and bullish markets: A Quantile-quantile approach," Post-Print hal-02013740, HAL.
    5. Muller, Christophe, 2018. "Heterogeneity and nonconstant effect in two-stage quantile regression," Econometrics and Statistics, Elsevier, vol. 8(C), pages 3-12.
    6. Grigory Franguridi & Bulat Gafarov & Kaspar Wuthrich, 2020. "Bias correction for quantile regression estimators," Papers 2011.03073, arXiv.org, revised Nov 2024.
    7. Zhenlin Yang & Liangjun Su, 2007. "Instrumental Variable Quantile Estimation of Spatial Autoregressive Models," Working Papers 05-2007, Singapore Management University, School of Economics.
    8. 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.
    9. 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.
    10. Tae-Hwan Kim & Christophe Muller, 2017. "A Robust Test of Exogeneity Based on Quantile Regressions," AMSE Working Papers 1716, Aix-Marseille School of Economics, France.
    11. Jun, Sung Jae, 2008. "Weak identification robust tests in an instrumental quantile model," Journal of Econometrics, Elsevier, vol. 144(1), pages 118-138, May.
    12. Clarke, Damian & Llorca-Jaña, Manuel & Pailañir, Daniel, 2021. "The Use of Quantile Methods in Economic History," IZA Discussion Papers 14659, Institute of Labor Economics (IZA).
    13. 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).
    14. Matzkin, Rosa L., 2016. "On independence conditions in nonseparable models: Observable and unobservable instruments," Journal of Econometrics, Elsevier, vol. 191(2), pages 302-311.
    15. Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2007. "Quantile And Probability Curves Without Crossing," Boston University - Department of Economics - Working Papers Series WP2007-011, Boston University - Department of Economics.
    16. Elie Bouri & Rangan Gupta & Aviral Kumar Tiwari & David Roubaud, 2017. "Does Bitcoin hedge global uncertainty? Evidence from wavelet-based quantile-in-quantile regressions," Post-Print hal-02008552, HAL.
    17. Christophe Muller, 2019. "Linear Quantile Regression and Endogeneity Correction," Working Papers halshs-02272874, HAL.
    18. Victor Chernozhukov & Ivan Fernandez-Val & Amanda Kowalski, 2011. "Quantile Regression with Censoring and Endogeneity," Cowles Foundation Discussion Papers 1797, Cowles Foundation for Research in Economics, Yale University.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. Brunello, Giorgio & Fabbri, Daniele & Fort, Margherita, 2009. "Years of Schooling, Human Capital and the Body Mass Index of European Females," IZA Discussion Papers 4667, Institute of Labor Economics (IZA).
    25. 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.
    26. Jun, Sung Jae, 2009. "Local structural quantile effects in a model with a nonseparable control variable," Journal of Econometrics, Elsevier, vol. 151(1), pages 82-97, July.
    27. Ahmad Monir Abdullah & Aini Aman, 2024. "Energy Prices and Their Impact on US Stock Indices: A Wavelet- based Quantile-on-Quantile Regression Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 14(3), pages 216-234, May.
    28. Bryan S. Graham & Jinyong Hahn & Alexandre Poirier & James L. Powell, 2015. "Quantile Regression with Panel Data," NBER Working Papers 21034, National Bureau of Economic Research, Inc.
    29. Jamal Bouoiyour & Amal Miftah & Refk Selmi, 2019. "The economic contribution of immigration on Europe: Fresh evidence from a “hybrid” quantile regression model," Working Papers hal-02346700, HAL.
    30. Nikolay Didenko, 2020. "Modeling the global nickel market with a triangular simultaneous equations model," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(1), pages 119-129, May.
    31. Jayeeta Bhattacharya, 2020. "Quantile regression with generated dependent variable and covariates," Papers 2012.13614, arXiv.org.
    32. Christina Christou & Ruthira Naraidoo & Rangan Gupta & Won Joong Kim, 2017. "Monetary Policy Reaction Functions of the TICKs: A Quantile Regression Approach," Working Papers 201738, University of Pretoria, Department of Economics.
    33. Kamhon Kan & I-Hsin Li & Ruei-Hua Wang, 2014. "Intergenerational Income Mobility In Taiwan: Evidence From Ts2sls And Structural Quantile Regression," IEAS Working Paper : academic research 14-A008, Institute of Economics, Academia Sinica, Taipei, Taiwan.
    34. 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.
    35. Giorgio Brunello & Margherita Fort & Guglielmo Weber, 2009. "Changes in Compulsory Schooling, Education and the Distribution of Wages in Europe," Economic Journal, Royal Economic Society, vol. 119(536), pages 516-539, March.
    36. 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.
    37. Roger Koenker, 2017. "Quantile regression 40 years on," CeMMAP working papers 36/17, Institute for Fiscal Studies.
    38. 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.
    39. 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.
    40. Mallick, Hrushikesh & Padhan, Hemachandra & Mahalik, Mantu Kumar, 2019. "Does skewed pattern of income distribution matter for the environmental quality? Evidence from selected BRICS economies with an application of Quantile-on-Quantile regression (QQR) approach," Energy Policy, Elsevier, vol. 129(C), pages 120-131.
    41. 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.
    42. Tae-Hwan Kim & Christophe Muller, 2012. "A test for endogeneity in conditional quantile models," Working papers 2012rwp-49, Yonsei University, Yonsei Economics Research Institute.
    43. Victor Chernozhukov & Christian Hansen, 2013. "Quantile Models with Endogeneity," Papers 1303.7050, arXiv.org.
    44. Kaspar W thrich, 2015. "Semiparametric estimation of quantile treatment effects with endogeneity," Diskussionsschriften dp1509, Universitaet Bern, Departement Volkswirtschaft.
    45. Rangan Gupta & Christian Pierdzioch & Refk Selmi & Mark E. Wohar, 2017. "Does Partisan Conflict Predict a Reduction in US Stock Market (Realized) Volatility? Evidence from a Quantile-on-Quantile Regression Model," Working Papers 201744, University of Pretoria, Department of Economics.
    46. Harding, Matthew & Lamarche, Carlos, 2012. "Estimating and Testing a Quantile Regression Model with Interactive Effects," IZA Discussion Papers 6802, Institute of Labor Economics (IZA).
    47. Seyram P. Kumah, 2024. "Cryptocurrency and African fiat currencies: A peaceful coexistence?," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 53(1), February.
    48. Victor Chernozhukov & Roberto Rigobon & Thomas M. Stoker, 2010. "Set identification and sensitivity analysis with Tobin regressors," Quantitative Economics, Econometric Society, vol. 1(2), pages 255-277, November.
    49. Sulkhan Chavleishvili & Simone Manganelli, 2024. "Forecasting and stress testing with quantile vector autoregression," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(1), pages 66-85, January.
    50. Elena Martínez Sanchis & Ilker Kandemir & Juan Mora López, 2011. "Counterfactual distributions of wages via quantile regression with endogeneity," Working Papers. Serie AD 2011-25, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    51. Tae-Hwan Kim & Christophe Muller, 2015. "A Particular Form of Non-Constant Effect in Two-Stage Quantile Regression," AMSE Working Papers 1522, Aix-Marseille School of Economics, France, revised May 2015.
    52. Matteo Foglia & Vasilios Plakandaras & Rangan Gupta & Qiang Ji, 2024. "Long-Span Multi-Layer Spillovers between Moments of Advanced Equity Markets: The Role of Climate Risks," Working Papers 202415, University of Pretoria, Department of Economics.
    53. Liqiong Chen & Antonio F. Galvao & Suyong Song, 2021. "Quantile Regression with Generated Regressors," Econometrics, MDPI, vol. 9(2), pages 1-35, April.
    54. 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.
    55. 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.
    56. Tae-Hwan Kim & Christophe Muller, 2020. "Inconsistency transmission and variance reduction in two-stage quantile regression," Post-Print hal-02084505, HAL.
    57. 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.
    58. Nicholas C.S. Sim, 2009. "Modeling Quantile Dependence: A New Look at the Money-Output Relationship," School of Economics and Public Policy Working Papers 2009-34, University of Adelaide, School of Economics and Public Policy.
    59. 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, Econjournals, vol. 11(5), pages 66-77.
    60. 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.
    61. Pallab Ghosh & Kevin Grier & Jaeho Kim, 2021. "Heterogeneous endogeneity," Statistical Papers, Springer, vol. 62(2), pages 847-886, April.
    62. Sui, Meng & Rengifo, Erick W. & Court, Eduardo, 2021. "Gold, inflation and exchange rate in dollarized economies – A comparative study of Turkey, Peru and the United States," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 82-99.
    63. Carneiro, Pedro & Lee, Sokbae, 2009. "Estimating distributions of potential outcomes using local instrumental variables with an application to changes in college enrollment and wage inequality," Journal of Econometrics, Elsevier, vol. 149(2), pages 191-208, April.
    64. Vincenzo Atella & Noemi Pace & Daniela Vuri, 2008. "Are employers discriminating with respect to weight? European Evidence using Quantile Regression," CEIS Research Paper 123, Tor Vergata University, CEIS, revised 14 Jul 2008.
    65. Chu, Jeffrey & Chan, Stephen & Zhang, Yuanyuan, 2023. "An analysis of the return–volume relationship in decentralised finance (DeFi)," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 236-254.
    66. Grigory Franguridi & Bulat Gafarov & Kaspar Wüthrich, 2021. "Conditional Quantile Estimators: A Small Sample Theory," CESifo Working Paper Series 9046, CESifo.
    67. Gupta, Rangan & Pierdzioch, Christian & Selmi, Refk & Wohar, Mark E., 2018. "Does partisan conflict predict a reduction in US stock market (realized) volatility? Evidence from a quantile-on-quantile regression model☆," The North American Journal of Economics and Finance, Elsevier, vol. 43(C), pages 87-96.
    68. Tae-Hwan Kim & Christophe Muller, 2013. "A Test for Endogeneity in Conditional Quantiles," AMSE Working Papers 1342, Aix-Marseille School of Economics, France, revised Aug 2013.
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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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    Cited by:

    1. Nikolaou, Kleopatra, 2008. "The behaviour of the real exchange rate: Evidence from regression quantiles," Journal of Banking & Finance, Elsevier, vol. 32(5), pages 664-679, May.
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    3. Gaglianone, Wagner Piazza & Guillén, Osmani Teixeira de Carvalho & Figueiredo, Francisco Marcos Rodrigues, 2018. "Estimating inflation persistence by quantile autoregression with quantile-specific unit roots," Economic Modelling, Elsevier, vol. 73(C), pages 407-430.
    4. Guili Liao & Qimeng Liu & Rongmao Zhang & Shifang Zhang, 2022. "Rank test of unit‐root hypothesis with AR‐GARCH errors," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(5), pages 695-719, September.
    5. Uwe Hassler & Paulo M.M. Rodrigues & Antonio Rubia, 2016. "Quantile Regression for Long Memory Testing: A Case of Realized Volatility," Journal of Financial Econometrics, Oxford University Press, vol. 14(4), pages 693-724.
    6. Jana Jurečková & Olcay Arslan & Yeşim Güney & Jan Picek & Martin Schindler & Yetkin Tuaç, 2023. "Nonparametric tests in linear model with autoregressive errors," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 86(4), pages 443-453, May.
    7. Mohsen Bahmani-Oskooee & Tsangyao Chang & Zahra (Mila) Elmi & Omid Ranjbar, 2018. "Re-testing Prebisch–Singer hypothesis: new evidence using Fourier quantile unit root test," Applied Economics, Taylor & Francis Journals, vol. 50(4), pages 441-454, January.
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    9. Jitka Veselá & Alžběta Zíková, 2022. "Are the Czech, Polish, German and Dutch markets taking a random walk? [Konají český, polský, německý a nizozemský trh náhodnou procházku?]," Český finanční a účetní časopis, Prague University of Economics and Business, vol. 2022(2), pages 19-38.
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    692. Yoshibumi Makabe & Yoshihiko Norimasa, 2022. "The Term Structure of Inflation at Risk: A Panel Quantile Regression Approach," Bank of Japan Working Paper Series 22-E-4, Bank of Japan.
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    695. Işık, Cem & Bulut, Umit & Ongan, Serdar & Islam, Hasibul & Irfan, Muhammad, 2024. "Exploring how economic growth, renewable energy, internet usage, and mineral rents influence CO2 emissions: A panel quantile regression analysis for 27 OECD countries," Resources Policy, Elsevier, vol. 92(C).
    696. Karen X. Yan & Qi Li, 2018. "Nonparametric Estimation of a Conditional Quantile Function in a Fixed Effects Panel Data Model," JRFM, MDPI, vol. 11(3), pages 1-10, August.
    697. Damette, Olivier & Kouki, Imen, 2022. "Political influence and banking performance: Evidence from the African countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 200-207.
    698. Lamarche, Carlos, 2008. "Private school vouchers and student achievement: A fixed effects quantile regression evaluation," Labour Economics, Elsevier, vol. 15(4), pages 575-590, August.
    699. D Barrera & S Crépey & E Gobet & Hoang-Dung Nguyen & B Saadeddine, 2024. "Statistical Learning of Value-at-Risk and Expected Shortfall," Working Papers hal-03775901, HAL.
    700. Fernandes, Marcelo & Novaes, Walter, 2017. "The government as a large shareholder: impact on corporate governance," Textos para discussão 458, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    701. Sungwon Lee, 2020. "Nonparametric Identification and Estimation of Panel Quantile Models with Sample Selection," Working Papers 2012, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    702. Emad Kazemzadeh & José Alberto Fuinhas & Matheus Koengkan & Fariba Osmani & Nuno Silva, 2022. "Do energy efficiency and export quality affect the ecological footprint in emerging countries? A two-step approach using the SBM–DEA model and panel quantile regression," Environment Systems and Decisions, Springer, vol. 42(4), pages 608-625, December.
    703. Fernando João Alexandre Parmagnani & Fabiana Fontes Rocha, 2013. "Evaluating the impact of SUS transfers on municipalities' health expenditures," Working Papers, Department of Economics 2013_23, University of São Paulo (FEA-USP), revised 15 Jan 2014.
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    705. Feng Zhao & Yinyin Zhang & Majed Alharthi & Muhammad Wasif Zafar, 2022. "Environmental sustainability in developing countries: Understanding the criticality of financial inclusion and globalization," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(6), pages 1823-1837, December.
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    707. Congyu Zhao & Kangyin Dong & Farhad Taghizadeh-Hesary, 2023. "Can smart transportation enhance green development efficiency?," Economic Change and Restructuring, Springer, vol. 56(2), pages 825-857, April.
    708. Brenes-Munoz, Thelma, 2015. "Testing the effect of firm performance on growth for the Chilean agribusiness," 2015 Conference, August 9-14, 2015, Milan, Italy 229063, International Association of Agricultural Economists.
    709. Liu, Xuemei & Yuan, Shuhan & Yu, Haoran & Liu, Zheng, 2023. "How ecological policy stringency moderates the influence of industrial innovation on environmental sustainability: The role of renewable energy transition in BRICST countries," Renewable Energy, Elsevier, vol. 207(C), pages 194-204.
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    715. Awan, Ashar & Abbasi, Kashif Raza & Rej, Soumen & Bandyopadhyay, Arunava & Lv, Kangjuan, 2022. "The impact of renewable energy, internet use and foreign direct investment on carbon dioxide emissions: A method of moments quantile analysis," Renewable Energy, Elsevier, vol. 189(C), pages 454-466.
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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. HILL Robert J. & STEURER Miriam & WALTL Sofie R., 2018. "Owner Occupied Housing in the CPI and Its Impact On Monetary Policy During Housing Booms and Busts," LISER Working Paper Series 2018-05, Luxembourg Institute of Socio-Economic Research (LISER).
    5. 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.
    6. 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.
    7. 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.
    8. Mele, Angelo, 2013. "Poisson indices of segregation," Regional Science and Urban Economics, Elsevier, vol. 43(1), pages 65-85.
    9. 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.
    10. Roger Koenker, 2017. "Quantile regression 40 years on," CeMMAP working papers 36/17, Institute for Fiscal Studies.
    11. 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.
    12. 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.
    13. 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).
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. David M. Kaplan, 2013. "Improved Quantile Inference Via Fixed-Smoothing Asymptotics And Edgeworth Expansion," Working Papers 1313, Department of Economics, University of Missouri.
    19. 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.
    20. 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.
    21. Roger Koenker, 2017. "Quantile regression 40 years on," CeMMAP working papers CWP36/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    22. 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.
    23. 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.
    24. 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.
    25. Matúš Maciak & Ivan Mizera, 2016. "Regularization techniques in joinpoint regression," Statistical Papers, Springer, vol. 57(4), pages 939-955, December.

  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.

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    1. Maarten Vendrik & Christiane Schwieren, 2010. "Identification, screening and stereotyping in labour market discrimination," Journal of Economics, Springer, vol. 99(2), pages 141-171, March.
    2. 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.
    3. 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.
    4. Paul Oyer & Scott Schaefer, 2010. "Personnel Economics: Hiring and Incentives," NBER Working Papers 15977, National Bureau of Economic Research, Inc.
    5. Kuhnen, Camelia M. & Oyer, Paul, 2014. "Exploration for Human Capital: Evidence from the MBA Labor Market," Research Papers 3042, Stanford University, Graduate School of Business.
    6. 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.
    7. 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.
    8. Brad R. Humphreys & Jie Yang, 2021. "Peer enforcement in teams: evidence from high-skill professional workers with repeated interactions," Chapters, in: Ruud H. Koning & Stefan Kesenne (ed.), A Modern Guide to Sports Economics, chapter 20, pages 294-316, Edward Elgar Publishing.
    9. 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.
    10. 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.
    11. Julianne Treme & Samuel K. Allen, 2009. "Widely Received: Payoffs to Player Attributes in the NFL," Economics Bulletin, AccessEcon, vol. 29(3), pages 1631-1643.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. Gregory-Smith, Ian & Bryson, Alex & Gomez, Rafael, 2022. "Discrimination in a Rank Order Contest. Evidence from the NFL Draft," IZA Discussion Papers 15473, Institute of Labor Economics (IZA).
    17. Casey Ichniowski & Anne E. Preston, 2012. "Does March Madness Lead to Irrational Exuberance in the NBA Draft? High-Value Employee Selection Decisions and Decision-Making Bias," NBER Working Papers 17928, National Bureau of Economic Research, Inc.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    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. Tainsky, Scott & Mills, Brian & Winfree, Jason A., 2012. "Further Examination of Potential Discrimination Among MLB Umpires," MPRA Paper 43234, University Library of Munich, Germany.
    26. 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.
    27. Blasco, Sylvie & Pertold-Gebicka, Barbara, 2012. "Employment Policies, Hiring Practices and Firm Performance," IZA Discussion Papers 7013, Institute of Labor Economics (IZA).
    28. 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.
    29. 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.
    30. 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.
    31. 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.
    32. Chen Liang & Yili Hong & Bin Gu, 2017. "Home Bias in Global Employment," Working Papers 17-06, NET Institute.
    33. 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.
    34. 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.
    35. R Simmons & D Berri, 2007. "Does it pay to specialize? The story from the Gridiron," Working Papers 591134, Lancaster University Management School, Economics Department.
    36. 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.
    37. 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.
    38. 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).
    39. 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.
    40. Quinn A. W. Keefer, 2016. "Rank-Based Groupings and Decision Making," Journal of Sports Economics, , vol. 17(7), pages 748-762, October.
    41. 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).
    42. 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.
    43. 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.
    44. 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. Holmes, Mark J. & Otero, Jesús & Panagiotidis, Theodore, 2011. "Investigating regional house price convergence in the United States: Evidence from a pair-wise approach," Economic Modelling, Elsevier, vol. 28(6), pages 2369-2376.
    3. Sarah Brown & Karl Taylor, 2011. "Household finances and the 'Big Five' personality traits," Working Papers 2011025, The University of Sheffield, Department of Economics.
    4. Wagner, Joachim, 2011. "Exports, Foreign Direct Investments and Productivity: Are Services Firms Different?," IZA Discussion Papers 6009, Institute of Labor Economics (IZA).
    5. Tomi Kyyrä & Ralf A. Wilke, 2007. "Reduction in the Long-Term Unemployment of the Elderly: A Success Story from Finland," Journal of the European Economic Association, MIT Press, vol. 5(1), pages 154-182, March.
    6. 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," IZA Discussion Papers 7296, Institute of Labor Economics (IZA).
    7. 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.
    8. Achim Schmillen & Joachim Möller, 2009. "Determinants of Lifetime Unemployment - A Micro Data Analysis with Censored Quantile Regressions," Working Papers 275, Leibniz Institut für Ost- und Südosteuropaforschung (Institute for East and Southeast European Studies).
    9. De Backer, Mickael & El Ghouch, Anouar & Van Keilegom, Ingrid, 2017. "An Adapted Loss Function for Censored Quantile Regression," LIDAM Discussion Papers ISBA 2017003, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    10. Duschl, Matthias & Schimke, Antje & Brenner, Thomas & Luxen, Dennis, 2011. "Firm growth and the spatial impact of geolocated external factors: Empirical evidence for German manufacturing firms," Working Paper Series in Economics 36, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
    11. Bitler, Marianne P. & Gelbach, Jonah B. & Hoynes, Hilary W., 2008. "Distributional impacts of the Self-Sufficiency Project," Journal of Public Economics, Elsevier, vol. 92(3-4), pages 748-765, April.
    12. Amparo Soler Domínguez & Juan Carlos Matallín Sáez & Emili Tortosa Ausina, 2011. "On the informativeness of persistence for mutual funds' performance evaluation using partial frontiers," Working Papers. Serie EC 2011-08, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    13. John Mullahy, 2017. "Individual Results May Vary: Elementary Analytics of Inequality-Probability Bounds, with Applications to Health-Outcome Treatment Effects," NBER Working Papers 23603, National Bureau of Economic Research, Inc.
    14. Chen, Songnian, 2019. "Quantile regression for duration models with time-varying regressors," Journal of Econometrics, Elsevier, vol. 209(1), pages 1-17.
    15. 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.
    16. Nicoletti, Cheti & Best, Nicky, 2012. "Quantile regression with aggregated data," Economics Letters, Elsevier, vol. 117(2), pages 401-404.
    17. 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).
    18. 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.
    19. Mário Centeno, 2006. "The Impact of Unemployment Insurance Generosity on Match Quality Distribution," Working Papers w200612, Banco de Portugal, Economics and Research Department.
    20. P. Givord & X. Dhaultfoeuille, 2013. "La régression quantile en pratique," Documents de Travail de l'Insee - INSEE Working Papers m2013-01, Institut National de la Statistique et des Etudes Economiques.
    21. 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.
    22. Alex Coad & Rekha Rao, 2011. "The firm-level employment effects of innovations in high-tech US manufacturing industries," Journal of Evolutionary Economics, Springer, vol. 21(2), pages 255-283, May.
    23. Centeno, Mario & Novo, Alvaro A., 2006. "The impact of unemployment insurance generosity on match quality distribution," Economics Letters, Elsevier, vol. 93(2), pages 235-241, November.
    24. 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, February.
    25. 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.
    26. 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.
    27. Luisa Alamá & Emili Tortosa-Ausina, 2012. "Bank Branch Geographic Location Patterns in S pain: Some Implications for Financial Exclusion," Growth and Change, Wiley Blackwell, vol. 43(3), pages 505-543, September.
    28. 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).
    29. Stijn Kelchtermans & Reinhilde Veugelers, 2011. "The great divide in scientific productivity: why the average scientist does not exist," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 20(1), pages 295-336, February.
    30. Juan Carlos Escanciano & Chuan Goh, 2018. "Quantile-Regression Inference With Adaptive Control of Size," Papers 1807.06977, arXiv.org, revised Sep 2019.
    31. 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.
    32. 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.
    33. 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.
    34. Schmillen, Achim & Möller, Joachim, 2012. "Distribution and determinants of lifetime unemployment," Labour Economics, Elsevier, vol. 19(1), pages 33-47.
    35. Wichert, Laura & Wilke, Ralf A., 2005. "Application of a simple nonparametric conditional quantile function estimator in unemployment duration analysis," ZEW Discussion Papers 05-67, ZEW - Leibniz Centre for European Economic Research.
    36. Hyun Kim & Yong-seong Kim & Myoung-jae Lee, 2012. "Treatment effect analysis of early reemployment bonus program: panel MLE and mode-based semiparametric estimator for interval truncation," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 11(3), pages 189-209, December.
    37. 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.
    38. 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.
    39. Fitzenberger, Bernd & Wilke, Ralf A., 2005. "Using Quantile Regression for Duration Analysis," ZEW Discussion Papers 05-65, ZEW - Leibniz Centre for European Economic Research.
    40. 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.
    41. Bijwaard, G.E., 2007. "Instrumental variable estimation of treatment effects for duration outcomes," Econometric Institute Research Papers EI 2007-20, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    42. Schunk, Daniel, 2003. "The Pennsylvania Reemployment Bonus Experiments: How a survival model helps in the analysis of the data," Sonderforschungsbereich 504 Publications 03-35, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    43. Djebbari, Habiba & Smith, Jeffrey A., 2008. "Heterogeneous Impacts in PROGRESA," IZA Discussion Papers 3362, Institute of Labor Economics (IZA).
    44. Mercedes Teruel & Agustí Segarra, 2011. "Productivity and R&D sources in manufacturing and service firms in Catalonia: a regional approach," ERSA conference papers ersa11p1860, European Regional Science Association.
    45. Matthias Duschl & Antje Schimke & Thomas Brenner & Dennis Luxen, 2011. "Firm Growth and the Spatial Impact of Geolocated External Factors – Empirical Evidence for German Manufacturing Firms," Working Papers on Innovation and Space 2011-03, Philipps University Marburg, Department of Geography.
    46. Bijwaard, G.E., 2007. "Instrumental variable estimation for duration data," Econometric Institute Research Papers EI 2007-14, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    47. 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.
    48. Carlos Alberto Foronda Rojas & Andrea Alcaráz, 2015. "Estimation and characteristics of unemployment duration in Bolivia," Investigación & Desarrollo, Universidad Privada Boliviana, vol. 2(1), pages 15-40.
    49. 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.
    50. 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.
    51. 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.
    52. 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.
    53. 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.
    54. 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.
    55. 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.
    56. Maksym Obrizan & George L. Wehby, 2012. "Health Expenditures And Life Expectancy Around The World: A Quantile Regression Approach," Discussion Papers 47, Kyiv School of Economics.
    57. 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.
    58. David J. Vanness & John Mullahy, 2012. "Moving Beyond Mean-based Evaluation of Health Care," Chapters, in: Andrew M. Jones (ed.), The Elgar Companion to Health Economics, Second Edition, chapter 52, Edward Elgar Publishing.

  8. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.

    Cited by:

    1. Akosah, Nana Kwame & Alagidede, Imhotep Paul & Schaling, Eric, 2020. "Testing for asymmetry in monetary policy rule for small-open developing economies: Multiscale Bayesian quantile evidence from Ghana," The Journal of Economic Asymmetries, Elsevier, vol. 22(C).
    2. Asongu Simplice, 2012. "Fighting corruption when existing corruption-control levels count: what do wealth-effects tell us in Africa?," Working Papers of the African Governance and Development Institute. 12/014, African Governance and Development Institute..
    3. Aubrey D. Tabuga, 2007. "International Remittances and Household Expenditures : The Philippine Case," Development Economics Working Papers 22698, East Asian Bureau of Economic Research.
    4. Paul Hewson & Keming Yu, 2008. "Quantile regression for binary performance indicators," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 24(5), pages 401-418, September.
    5. Alfred Michael Dockery & Sherry Bawa, 2013. "The Impact of Children on Australian Couples' Wealth Accumulation," Bankwest Curtin Economics Centre Working Paper series WP1302, Bankwest Curtin Economics Centre (BCEC), Curtin Business School.
    6. Wagner, Joachim, 2004. "Export Intensity and Plant Characteristics: What Can We Learn from Quantile Regression?," HWWA Discussion Papers 304, Hamburg Institute of International Economics (HWWA).
    7. Guilherme Fowler A. Monteiro & Adriana Bruscato Bortoluzzo & Pedro Lipkin P. Rosa, 2021. "Is there heterogeneity among persistent high‐growth firms?," Growth and Change, Wiley Blackwell, vol. 52(4), pages 2272-2292, December.
    8. Héctor Manuel Zárate S., 2003. "Cambios en la Estructura Salarial:Una Historia desde la Regresión Cuantílica," Borradores de Economia 245, Banco de la Republica de Colombia.
    9. Uchenna Efobi & Simplice A. Asongu & Chinelo Okafor & Vanessa Tchamyou & Belmondo Tanankem, 2016. "Diaspora Remittance Inflow, Financial Development and the Industrialisation of Africa," Research Africa Network Working Papers 16/037, Research Africa Network (RAN).
    10. Anginer, Deniz & Demirguc-Kunt, Asli & Zhu, Min, 2014. "How does competition affect bank systemic risk?," Journal of Financial Intermediation, Elsevier, vol. 23(1), pages 1-26.
    11. Arrighetti, Alessandro & Landini, Fabio & Lasagni, Andrea, 2014. "Intangible assets and firm heterogeneity: Evidence from Italy," Research Policy, Elsevier, vol. 43(1), pages 202-213.
    12. Constantino Cronemberger Mendes & Maria da Conceição Sampaio de Sousa, 2004. "Demand For Locally Provided Public Services Within The Median Voter'S Framework: The Case Of The Brazilian Municipalities," Anais do XXXII Encontro Nacional de Economia [Proceedings of the 32nd Brazilian Economics Meeting] 027, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    13. Andini, Corrado, 2017. "Tertiary Education for All and Wage Inequality: Policy Insights from Quantile Regression," IZA Policy Papers 132, Institute of Labor Economics (IZA).
    14. Fernando Antonio Slaibe Postali, 2016. "Oil windfalls and X-inefficiency: evidence from Brazil," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 43(5), pages 699-718, October.
    15. Leon Zolotoy & Don O’Sullivan & Keke Song, 2021. "The Role of Ethical Standards in the Relationship Between Religious Social Norms and M&A Announcement Returns," Journal of Business Ethics, Springer, vol. 170(4), pages 721-742, May.
    16. Jensen Brock & P. Wesley Routon, 2020. "The effect of mass shootings on the demand for guns," Southern Economic Journal, John Wiley & Sons, vol. 87(1), pages 50-69, July.
    17. Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Basic formal education quality, information technology, and inclusive human development in sub‐Saharan Africa," Sustainable Development, John Wiley & Sons, Ltd., vol. 27(3), pages 419-428, May.
    18. Holger M. Mueller & Paige P. Ouimet & Elena Simintzi, 2017. "Within-Firm Pay Inequality," The Review of Financial Studies, Society for Financial Studies, vol. 30(10), pages 3605-3635.
    19. Gabriel V. Montes-Rojas, 2011. "Nonparametric Estimation of ATE and QTE: An Application of Fractile Graphical Analysis," Journal of Probability and Statistics, Hindawi, vol. 2011, pages 1-23, October.
    20. Joachim Zietz & Xiaolin Zhao, 2009. "The response of household incomes to stock price and GDP growth by income quantile," Applied Economics, Taylor & Francis Journals, vol. 41(12), pages 1501-1512.
    21. Sofiane Aboura & Julien Chevallier, 2016. "Spikes and crashes in the oil market," Post-Print halshs-01348711, HAL.
    22. Chao, Shih-Kang & Härdle, Wolfgang Karl & Yuan, Ming, 2020. "Factorisable Multitask Quantile Regression," IRTG 1792 Discussion Papers 2020-004, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    23. Suzanne G. M. Fifield & David G. McMillan & Fiona J. McMillan, 2020. "Is there a risk and return relation?," The European Journal of Finance, Taylor & Francis Journals, vol. 26(11), pages 1075-1101, July.
    24. Trojanek, Radoslaw & Huderek-Glapska, Sonia, 2018. "Measuring the noise cost of aviation – The association between the Limited Use Area around Warsaw Chopin Airport and property values," Journal of Air Transport Management, Elsevier, vol. 67(C), pages 103-114.
    25. Rodney Fort & Young Hoon Lee & Taeyeon Oh, 2019. "Quantile Insights on Market Structure and Worker Salaries: The Case of Major League Baseball," Journal of Sports Economics, , vol. 20(8), pages 1066-1087, December.
    26. 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).
    27. Holmes, Mark J. & Otero, Jesús & Panagiotidis, Theodore, 2011. "Investigating regional house price convergence in the United States: Evidence from a pair-wise approach," Economic Modelling, Elsevier, vol. 28(6), pages 2369-2376.
    28. Simplice A. Asongu & Ivo J. Leke, 2018. "Can foreign aid dampen the threat of terrorism to international trade? Evidence from 78 developing countries," Research Africa Network Working Papers 18/032, Research Africa Network (RAN).
    29. Paulo M.M. Rodrigues & Rita Fradique Lourenço, 2015. "House prices: bubbles, exuberance or something else? Evidence from euro area countries," Working Papers w201517, Banco de Portugal, Economics and Research Department.
    30. Tchamyou, Vanessa & Asongu, Simplice, 2017. "Conditional Market Timing in the Mutual Fund Industry," MPRA Paper 82633, University Library of Munich, Germany.
    31. Natalia Nehrebecka, 2019. "Bank loans recovery rate in commercial banks: A case study of non-financial corporations," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 37(1), pages 139-172.
    32. Muller, Christophe, 2018. "Heterogeneity and nonconstant effect in two-stage quantile regression," Econometrics and Statistics, Elsevier, vol. 8(C), pages 3-12.
    33. Ramy El-Dardiry & Benedikt Vogt, 2022. "How far Do gazelles run? Growth Patterns of Regular Firms, High Growth Firms and Startups," CPB Discussion Paper 432, CPB Netherlands Bureau for Economic Policy Analysis.
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    1. Stanislav Anatolyev, 2009. "Inference in Regression Models with Many Regressors," Working Papers w0125, New Economic School (NES).
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    351. Georgios Fotopoulos & Helen Louri, 2004. "Firm Growth and FDI: Are Multinationals Stimulating Local Industrial Development?," Journal of Industry, Competition and Trade, Springer, vol. 4(3), pages 163-189, September.
    352. Robin M. Hogarth & Gueorgui I. Kolev, 2013. "The Ombudsman: The “Wicked” Environment of CEO Pay," Interfaces, INFORMS, vol. 43(6), pages 596-598, December.
    353. Zhong, Sheng, 2016. "The dynamics of vehicle energy efficiency: Evidence from the Massachusetts Vehicle Census," MERIT Working Papers 2016-014, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
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    355. Chavleishvili, Sulkhan & Engle, Robert F. & Fahr, Stephan & Kremer, Manfred & Manganelli, Simone & Schwaab, Bernd, 2021. "The risk management approach to macro-prudential policy," Working Paper Series 2565, European Central Bank.
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    358. Işık, Cem & Bulut, Umit & Ongan, Serdar & Islam, Hasibul & Irfan, Muhammad, 2024. "Exploring how economic growth, renewable energy, internet usage, and mineral rents influence CO2 emissions: A panel quantile regression analysis for 27 OECD countries," Resources Policy, Elsevier, vol. 92(C).
    359. Ji-Eun Choi & Dong Wan Shin, 2022. "Quantile correlation coefficient: a new tail dependence measure," Statistical Papers, Springer, vol. 63(4), pages 1075-1104, August.
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    Cited by:

    1. Chenxi Li & Ying Wei & Rick Chappell & Xuming He, 2011. "Bent Line Quantile Regression with Application to an Allometric Study of Land Mammals' Speed and Mass," Biometrics, The International Biometric Society, vol. 67(1), pages 242-249, March.
    2. 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).
    3. 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.
    4. Ahmed, Walid M.A., 2021. "Stock market reactions to upside and downside volatility of Bitcoin: A quantile analysis," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    5. 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).
    6. 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.
    7. Aziz Karimov, 2014. "Factors affecting efficiency of cotton producers in rural Khorezm, Uzbekistan: Re-examining the role of knowledge indicators in technical efficiency improvement," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 2(1), pages 1-16, December.
    8. Sang Bin Lee & Tae Yol Yoo, 1991. "Margin Regulation And Stock Market Response: Further Evidence From The U.S. And Some Pacific‐Basin Countries," Review of Financial Economics, John Wiley & Sons, vol. 1(1), pages 79-98, September.
    9. Panayiotis Tzeremes, 2022. "The Asymmetric Effects of Regional House Prices in the UK: New Evidence from Panel Quantile Regression Framework," Studies in Microeconomics, , vol. 10(1), pages 7-22, June.
    10. Jiang, Hai & Zhang, Jinyi, 2017. "Bank capital buffer, franchise value, and risk heterogeneity in China," Research in International Business and Finance, Elsevier, vol. 42(C), pages 1455-1466.
    11. You, Wan-Hai & Zhu, Hui-Ming & Yu, Keming & Peng, Cheng, 2015. "Democracy, Financial Openness, and Global Carbon Dioxide Emissions: Heterogeneity Across Existing Emission Levels," World Development, Elsevier, vol. 66(C), pages 189-207.
    12. Sun, Chia-Hung & Hsu, Ming-Fei, 2007. "The Determinants of Price in Online Auctions: More Evidence from Quantile Regression," Economics Working Papers wp07-18, School of Economics, University of Wollongong, NSW, Australia.
    13. Uematsu, Hiroki & Mishra, Ashok K., 2012. "The Impact of Natural Amenity on Farmland Values: A Quantile Regression Approach," 2012 Annual Meeting, February 4-7, 2012, Birmingham, Alabama 119804, Southern Agricultural Economics Association.
    14. 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).
    15. 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.
    16. Gabriela Ciuperca, 2011. "Penalized least absolute deviations estimation for nonlinear model with change-points," Statistical Papers, Springer, vol. 52(2), pages 371-390, May.
    17. 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.
    18. Zhu, Huiming & Guo, Yawei & You, Wanhai & Xu, Yaqin, 2016. "The heterogeneity dependence between crude oil price changes and industry stock market returns in China: Evidence from a quantile regression approach," Energy Economics, Elsevier, vol. 55(C), pages 30-41.
    19. Gökgöz, Fazıl & Yücel, Öykü, 2024. "Merit-order of dispatchable and variable renewable energy sources in Turkey's day-ahead electricity market," Utilities Policy, Elsevier, vol. 88(C).

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    Cited by:

    1. Mohammad Arshad Rahman & Angela Vossmeyer, 2019. "Estimation and Applications of Quantile Regression for Binary Longitudinal Data," Advances in Econometrics, in: Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling: Part B, volume 40, pages 157-191, Emerald Group Publishing Limited.

  13. Koenker, Roger, 1977. "Was Bread Giffen? The Demand for Food in England Circa 1790," The Review of Economics and Statistics, MIT Press, vol. 59(2), pages 225-229, May.

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    1. Yochanan Shachmurove & Janusz Szyrmer, 2011. "Sir Robert Giffen Meets Russia in Early 1990s," PIER Working Paper Archive 11-020, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    2. Peter, Richard, 2021. "Prevention as a Giffen good," Economics Letters, Elsevier, vol. 208(C).
    3. Kenneth W Clements, 2023. "Tastes," Economics Discussion / Working Papers 23-01, The University of Western Australia, Department of Economics.
    4. Robert T. Jensen & Nolan H. Miller, 2007. "Giffen Behavior: Theory and Evidence," NBER Working Papers 13243, National Bureau of Economic Research, Inc.
    5. Jean-Pascal Simonin, 1997. "Evolution des prix relatifs dans les économies agraires européennes et théorie de l'équilibre général," Revue Économique, Programme National Persée, vol. 48(1), pages 55-74.
    6. 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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