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Asymptotics for panel quantile regression models with individual effects
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Cited by:
- Fernández-Val, Iván & Weidner, Martin, 2016.
"Individual and time effects in nonlinear panel models with large N, T,"
Journal of Econometrics, Elsevier, vol. 192(1), pages 291-312.
- Ivan Fernandez-Val & Martin Weidner, 2013. "Individual and time effects in nonlinear panel models with large N, T," CeMMAP working papers CWP60/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Ivan Fernandez-Val & Martin Weidner, 2014. "Individual and time effects in nonlinear panel models with large N, T," CeMMAP working papers CWP32/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Ivan Fernandez-Val & Martin Weidner, 2013. "Individual and Time Effects in Nonlinear Panel Models with Large N, T," Papers 1311.7065, arXiv.org, revised Dec 2018.
- Ivan Fernandez-Val & Martin Weidner, 2015. "Individual and time effects in nonlinear panel models with large N, T," CeMMAP working papers CWP17/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Demetrescu, Matei & Hosseinkouchack, Mehdi & Rodrigues, Paulo M. M., 2023. "Tests of no cross-sectional error dependence in panel quantile regressions," Ruhr Economic Papers 1041, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
- João Santos Silva, 2019. "Quantile regression: Basics and recent advances," London Stata Conference 2019 27, Stata Users Group.
- Jorge E. Galán, 2020. "The benefits are at the tail: uncovering the impact of macroprudential policy on growth-at-risk," Working Papers 2007, Banco de España.
- Haddou, Samira, 2024. "Determinants of CDS in core and peripheral European countries: A comparative study during crisis and calm periods," The North American Journal of Economics and Finance, Elsevier, vol. 71(C).
- Younes Ben Zaied & Béchir Ben Lahouel, 2021. "Does environmental CSR performance matter for corporate financial performance? Evidence from panel quantile regression," Economics Bulletin, AccessEcon, vol. 41(3), pages 938-951.
- Weidner, Martin & Zylkin, Thomas, 2021.
"Bias and consistency in three-way gravity models,"
Journal of International Economics, Elsevier, vol. 132(C).
- Martin Weidner & Thomas Zylkin, 2019. "Bias and Consistency in Three-way Gravity Models," Papers 1909.01327, arXiv.org, revised Jun 2021.
- Martin Weidner & Thomas Zylkin, 2021. "Bias and consistency in three-way gravity models," CeMMAP working papers CWP11/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Martin Weidner & Thomas Zylkin, 2020. "Bias and Consistency in Three-way Gravity Models," CeMMAP working papers CWP1/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Jorge E. Galán & María Rodríguez Moreno, 2020. "At-risk measures and financial stability," Financial Stability Review, Banco de España, issue Autumn.
- Simon Lloyd & Ed Manuel & Konstantin Panchev, 2024.
"Foreign Vulnerabilities, Domestic Risks: The Global Drivers of GDP-at-Risk,"
IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 72(1), pages 335-392, March.
- Lloyd, Simon & Manuel, Ed & Panchev, Konstantin, 2021. "Foreign vulnerabilities, domestic risks: the global drivers of GDP-at-Risk," Bank of England working papers 940, Bank of England.
- Lloyd, S. & Manuel, E. & Panchev, K., 2021. "Foreign Vulnerabilities, Domestic Risks: The Global Drivers of GDP-at-Risk," Cambridge Working Papers in Economics 2156, Faculty of Economics, University of Cambridge.
- Lloyd, S. & Manuel, E. & Panchev, K., 2021. "Foreign Vulnerabilities, Domestic Risks: The Global Drivers of GDP-at-Risk," Janeway Institute Working Papers 2102, Faculty of Economics, University of Cambridge.
- Leng, Xuan & Chen, Heng & Wang, Wendun, 2023. "Multi-dimensional latent group structures with heterogeneous distributions," Journal of Econometrics, Elsevier, vol. 233(1), pages 1-21.
- Sanjay B. Singh & Talal H. Alsabhan & Reem Alshagri, 2024. "Evaluating the Policy Implications of Renewable Portfolio Standards on Grid Reliability in the United States: An Instrumental Variable Quantile Analysis," Energies, MDPI, vol. 17(23), pages 1-22, December.
- Hatice Jenkins & Ezuldeen Alshareef & Amer Mohamad, 2023. "The impact of corruption on commercial banks' credit risk: Evidence from a panel quantile regression," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1364-1375, April.
- Xiao Huang, 2023. "Composite Quantile Factor Model," Papers 2308.02450, arXiv.org, revised Nov 2024.
- Hang, Yin & Xue, Wenjun, 2020. "The asymmetric effects of monetary policy on the business cycle: Evidence from the panel smoothed quantile regression model," Economics Letters, Elsevier, vol. 195(C).
- Alexander Blasberg & Rüdiger Kiesel & Luca Taschini, 2022.
"Carbon Default Swap - Disentangling the Exposure to Carbon Risk through CDS,"
CESifo Working Paper Series
10016, CESifo.
- Blasberg, Alexander & Kiesel, Rüdiger & Taschini, Luca, 2023. "Carbon default swap – disentangling the exposure to carbon risk through CDS," LSE Research Online Documents on Economics 118092, London School of Economics and Political Science, LSE Library.
- Blasberg, Alexander & Kiesel, Rüdiger & Taschini, Luca, 2023. "Carbon default swap – disentangling the exposure to carbon risk through CDS," LSE Research Online Documents on Economics 118096, London School of Economics and Political Science, LSE Library.
- Graham, Bryan S. & Hahn, Jinyong & Poirier, Alexandre & Powell, James L., 2018.
"A quantile correlated random coefficients panel data model,"
Journal of Econometrics, Elsevier, vol. 206(2), pages 305-335.
- Bryan S. Graham & Jinyong Hahn & Alexandre Poirier & James L. Powell, 2016. "A quantile correlated random coefficients panel data model," CeMMAP working papers CWP34/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- 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.
- Baryshnikova, Nadezhda V. & Pham, Ngoc T.A., 2019.
"Natural disasters and mental health: A quantile approach,"
Economics Letters, Elsevier, vol. 180(C), pages 62-66.
- Nadezhda V. Baryshnikova & Ngoc T. A. Pham, 2019. "Natural Disasters and Mental Health: A Quantile approach," School of Economics and Public Policy Working Papers 2019-03, University of Adelaide, School of Economics and Public Policy.
- Hou, Yanxi & Leng, Xuan & Peng, Liang & Zhou, Yinggang, 2024. "Panel quantile regression for extreme risk," Journal of Econometrics, Elsevier, vol. 240(1).
- Martina Pons, 2022. "The impact of air pollution on birthweight: evidence from grouped quantile regression," Empirical Economics, Springer, vol. 62(1), pages 279-296, January.
- Galina Besstremyannaya & Sergei Golovan, 2023. "Measuring heterogeneity in hospital productivity: a quantile regression approach," Journal of Productivity Analysis, Springer, vol. 59(1), pages 15-43, February.
- repec:hal:spmain:info:hdl:2441/1dniduq06u8se8q5enfvnorti9 is not listed on IDEAS
- Firpo, Sergio & Galvao, Antonio F. & Song, Suyong, 2017. "Measurement errors in quantile regression models," Journal of Econometrics, Elsevier, vol. 198(1), pages 146-164.
- Simons, Andrew M., 2022.
"What is the optimal locus of control for social assistance programs? Evidence from the Productive Safety Net Program in Ethiopia,"
Journal of Development Economics, Elsevier, vol. 158(C).
- Simons, Andrew M., 2016. "What is the optimal locus of control for social assistance programs? Evidence from the productive safety net programme in Ethiopia," ESSP working papers 86, International Food Policy Research Institute (IFPRI).
- Callaway, Brantly & Li, Tong & Oka, Tatsushi, 2018. "Quantile treatment effects in difference in differences models under dependence restrictions and with only two time periods," Journal of Econometrics, Elsevier, vol. 206(2), pages 395-413.
- Liang Chen & Juan J. Dolado & Jesús Gonzalo, 2021.
"Quantile Factor Models,"
Econometrica, Econometric Society, vol. 89(2), pages 875-910, March.
- Chen, Liang, 2017. "Quantile Factor Models," UC3M Working papers. Economics 25299, Universidad Carlos III de Madrid. Departamento de EconomÃa.
- Liang Chen & Juan Jose Dolado & Jesus Gonzalo, 2019. "Quantile Factor Models," Papers 1911.02173, arXiv.org, revised Sep 2020.
- Dolado, Juan J & Chen, Liang & Gonzalo, Jesus, 2018. "Quantile Factor Models," CEPR Discussion Papers 12716, C.E.P.R. Discussion Papers.
- Chen, Liang & Dolado, Juan J. & Gonzalo, Jesús, 2020. "Quantile Factor Models," IZA Discussion Papers 13870, Institute of Labor Economics (IZA).
- Frantisek Cech & Jozef Barunik, 2017.
"Measurement of Common Risk Factors: A Panel Quantile Regression Model for Returns,"
Papers
1708.08622, arXiv.org.
- 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.
- Fernández-Val, Iván & Gao, Wayne Yuan & Liao, Yuan & Vella, Francis, 2022.
"Dynamic Heterogeneous Distribution Regression Panel Models, with an Application to Labor Income Processes,"
IZA Discussion Papers
15236, Institute of Labor Economics (IZA).
- Ivan Fernandez-Val & Wayne Yuan Gao & Yuan Liao & Francis Vella, 2022. "Dynamic Heterogeneous Distribution Regression Panel Models, with an Application to Labor Income Processes," Papers 2202.04154, arXiv.org, revised Jan 2023.
- Gelos, Gaston & Gornicka, Lucyna & Koepke, Robin & Sahay, Ratna & Sgherri, Silvia, 2022.
"Capital flows at risk: Taming the ebbs and flows,"
Journal of International Economics, Elsevier, vol. 134(C).
- Mr. Gaston Gelos & Lucyna Gornicka & Mr. Robin Koepke & Ms. Ratna Sahay & Ms. Silvia Sgherri, 2019. "Capital Flows at Risk: Taming the Ebbs and Flows," IMF Working Papers 2019/279, International Monetary Fund.
- Gelos, Gaston & Gornicka, Lucyna & Koepke, Robin & Sahay, Ratna & Sgherri, Silvia, 2021. "Capital Flows at Risk: Taming the Ebbs and Flows," CEPR Discussion Papers 15842, C.E.P.R. Discussion Papers.
- P. Givord & M. Suarez Castillo, 2019.
"Excellence for all? Heterogeneity in high-schools’ value-added,"
Documents de Travail de l'Insee - INSEE Working Papers
g2019-14, Institut National de la Statistique et des Etudes Economiques.
- Pauline Givord & Milena Suarez, 2020. "Excellence for all ? Heterogeneity in high-schools' value-added," SciencePo Working papers Main hal-03389176, HAL.
- Pauline Givord & Milena Suarez, 2020. "Excellence for all ? Heterogeneity in high-schools' value-added," Working Papers hal-03389176, HAL.
- Harding, Matthew & Lamarche, Carlos, 2019.
"A panel quantile approach to attrition bias in Big Data: Evidence from a randomized experiment,"
Journal of Econometrics, Elsevier, vol. 211(1), pages 61-82.
- Matthew Harding & Carlos Lamarche, 2018. "A Panel Quantile Approach to Attrition Bias in Big Data: Evidence from a Randomized Experiment," Papers 1808.03364, arXiv.org.
- Vu, Dung Anh & Van Nguyen, Thinh & Nhu, Quang Minh & Tran, Tuyen Quang, 2024. "Does increased digital transformation promote a firm's financial performance? New insights from the quantile approach," Finance Research Letters, Elsevier, vol. 64(C).
- Xiaowen Dai & Libin Jin, 2021. "Minimum distance quantile regression for spatial autoregressive panel data models with fixed effects," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-13, December.
- Xue, Wenjun & Zhang, Liwen, 2019. "Revisiting the asymmetric effects of bank credit on the business cycle: A panel quantile regression approach," The Journal of Economic Asymmetries, Elsevier, vol. 20(C).
- Antonio F. Galvao & Gabriel Montes-Rojas, 2015. "On Bootstrap Inference for Quantile Regression Panel Data: A Monte Carlo Study," Econometrics, MDPI, vol. 3(3), pages 1-13, September.
- Xiao, Zhijie & Xu, Lan, 2019. "What do mean impacts miss? Distributional effects of corporate diversification," Journal of Econometrics, Elsevier, vol. 213(1), pages 92-120.
- Yu, Lu & Gu, Jiaying & Volgushev, Stanislav, 2024. "Spectral clustering with variance information for group structure estimation in panel data," Journal of Econometrics, Elsevier, vol. 241(1).
- Antonio F. Galvao & Thomas Parker & Zhijie Xiao, 2024.
"Bootstrap Inference for Panel Data Quantile Regression,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(2), pages 628-639, April.
- Antonio F. Galvao & Thomas Parker & Zhijie Xiao, 2021. "Bootstrap inference for panel data quantile regression," Papers 2111.03626, arXiv.org.
- Chernozhukov, Victor & Fernández-Val, Iván & Weidner, Martin, 2024.
"Network and panel quantile effects via distribution regression,"
Journal of Econometrics, Elsevier, vol. 240(2).
- Victor Chernozhukov & Ivan Fernandez-Val & Martin Weidner, 2018. "Network and panel quantile effects via distribution regression," CeMMAP working papers CWP21/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Iv'an Fern'andez-Val & Martin Weidner, 2018. "Network and Panel Quantile Effects Via Distribution Regression," Papers 1803.08154, arXiv.org, revised Jun 2020.
- Victor Chernozhukov & Ivan Fernandez-Val & Martin Weidner, 2020. "Network and Panel Quantile Effects Via Distribution Regression," CeMMAP working papers CWP27/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Martin Weidner, 2018. "Network and panel quantile effects via distribution regression," CeMMAP working papers CWP70/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Ivan Fernandez-Val & Martin Weidner, 2015. "Individual and time effects in nonlinear panel models with large N , T," CeMMAP working papers 17/15, Institute for Fiscal Studies.
- Galvao, Antonio F. & Gu, Jiaying & Volgushev, Stanislav, 2020.
"On the unbiased asymptotic normality of quantile regression with fixed effects,"
Journal of Econometrics, Elsevier, vol. 218(1), pages 178-215.
- Antonio F. Galvao & Jiaying Gu & Stanislav Volgushev, 2018. "On the Unbiased Asymptotic Normality of Quantile Regression with Fixed Effects," Papers 1807.11863, arXiv.org, revised Feb 2020.
- Manuel Arellano & Stéphane Bonhomme, 2016.
"Nonlinear panel data estimation via quantile regressions,"
Econometrics Journal, Royal Economic Society, vol. 19(3), pages 61-94, October.
- Manuel Arellano & Stéphane Bonhomme, 2015. "Nonlinear panel data estimation via quantile regressions," CeMMAP working papers CWP40/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Manuel Arellano & Stéphane Bonhomme, 2015. "Nonlinear panel data estimation via quantile regressions," CeMMAP working papers 40/15, Institute for Fiscal Studies.
- Manuel Arellano & Stéphane Bonhomme, 2015. "Nonlinear Panel Data Estimation via Quantile Regression," Working Papers wp2015_1505, CEMFI.
- Chen, Mingli & Fernández-Val, Iván & Weidner, Martin, 2021.
"Nonlinear factor models for network and panel data,"
Journal of Econometrics, Elsevier, vol. 220(2), pages 296-324.
- Mingli Chen & Iv'an Fern'andez-Val & Martin Weidner, 2014. "Nonlinear Factor Models for Network and Panel Data," Papers 1412.5647, arXiv.org, revised Oct 2019.
- Mingli Chen & Ivan Fernandez-Val & Martin Weidner, 2018. "Nonlinear factor models for network and panel data," CeMMAP working papers CWP38/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Mingli Chen & Ivan Fernandez-Val & Martin Weidner, 2019. "Nonlinear factor models for network and panel data," CeMMAP working papers CWP18/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Chen, Liang & Pan, Haozi, 2023.
"Estimation of characteristics-based quantile factor models,"
UC3M Working papers. Economics
37095, Universidad Carlos III de Madrid. Departamento de EconomÃa.
- Chen, Liang & Dolado, Juan J & Gonzalo, Jesus & Pan, Haozi, 2023. "Estimation of Characteristics-based Quantile Factor Models," CEPR Discussion Papers 18115, C.E.P.R. Discussion Papers.
- Liang Chen & Juan Jose Dolado & Jesus Gonzalo & Haozi Pan, 2023. "Estimation of Characteristics-based Quantile Factor Models," Papers 2304.13206, arXiv.org.
- Jorge E. Galán & María Rodríguez Moreno, 2020. "At-risk measures and financial stability," Revista de Estabilidad Financiera, Banco de España, issue Autumn.
- Denis Chetverikov & Bradley Larsen & Christopher Palmer, 2016.
"IV Quantile Regression for Group‐Level Treatments, With an Application to the Distributional Effects of Trade,"
Econometrica, Econometric Society, vol. 84, pages 809-833, March.
- Denis Chetverikov & Bradley Larsen & Christopher Palmer, 2015. "IV Quantile Regression for Group-level Treatments, with an Application to the Distributional Effects of Trade," NBER Working Papers 21033, National Bureau of Economic Research, Inc.
- Alexandre Belloni & Mingli Chen & Oscar Hernan Madrid Padilla & Zixuan & Wang, 2019.
"High Dimensional Latent Panel Quantile Regression with an Application to Asset Pricing,"
Papers
1912.02151, arXiv.org, revised Aug 2022.
- Belloni, Alexandre & Chen, Mingli & Madrid Padilla, Oscar Hernan & Wang, Zixuan (Kevin), 2019. "High Dimensional Latent Panel Quantile Regression with an Application to Asset Pricing," The Warwick Economics Research Paper Series (TWERPS) 1230, University of Warwick, Department of Economics.
- Ruofan Xu & Jiti Gao & Tatsushi Oka & Yoon-Jae Whang, 2022. "Quantile Random-Coefficient Regression with Interactive Fixed Effects: Heterogeneous Group-Level Policy Evaluation," Papers 2208.03632, arXiv.org, revised Nov 2024.
- Wenjie Wang & Yichong Zhang, 2021. "Wild Bootstrap for Instrumental Variables Regressions with Weak and Few Clusters," Papers 2108.13707, arXiv.org, revised Jan 2024.
- Yuzhu Tian & Er’qian Li & Maozai Tian, 2016. "Bayesian joint quantile regression for mixed effects models with censoring and errors in covariates," Computational Statistics, Springer, vol. 31(3), pages 1031-1057, September.
- Jia Chen Author-Name-First: Jia & Yongcheol Shin & Chaowen Zheng, 2023. "Dynamic Quantile Panel Data Models with Interactive Effects," Economics Discussion Papers em-dp2023-06, Department of Economics, University of Reading.
- Xue, Wenjun & He, Zhongzhi & Hu, Yu, 2023. "The destabilizing effect of mutual fund herding: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 88(C).
- Zhu, Zhoufan & Zhang, Ningning & Zhu, Ke, 2024. "Big portfolio selection by graph-based conditional moments method," Journal of Empirical Finance, Elsevier, vol. 78(C).
- Paul Contoyannis & Jinhu Li, 2017. "The dynamics of adolescent depression: an instrumental variable quantile regression with fixed effects approach," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(3), pages 907-922, June.
- Shabir, Mohsin & Jiang, Ping & Bakhsh, Satar & Zhao, Zhongxiu, 2021. "Economic policy uncertainty and bank stability: Threshold effect of institutional quality and competition," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
- Panagiotidis, Theodore & Printzis, Panagiotis, 2021.
"Investment and uncertainty: Are large firms different from small ones?,"
Journal of Economic Behavior & Organization, Elsevier, vol. 184(C), pages 302-317.
- Theodore Panagiotidis & Panagiotis Printzis, 2021. "Investment and Uncertainty: Are large firms different from small ones?," Discussion Paper Series 2021_06, Department of Economics, University of Macedonia, revised Feb 2021.
- Jorge E. Galán & María Rodríguez Moreno, 2020.
"At-risk measures and financial stability,"
Financial Stability Review, Banco de España, issue Autumn.
- Jorge E. Galán & María Rodríguez Moreno, 2020. "At-risk measures and financial stability," Revista de Estabilidad Financiera, Banco de España, issue Otoño.
- 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.
- 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.
- Bryan S. Graham & Jinyong Hahn & Alexandre Poirier & James L. Powell, 2015. "Quantile regression with panel data," CeMMAP working papers 12/15, Institute for Fiscal Studies.
- Matthew Harding & Carlos Lamarche, 2017.
"Penalized Quantile Regression with Semiparametric Correlated Effects: An Application with Heterogeneous Preferences,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(2), pages 342-358, March.
- Harding, Matthew & Lamarche, Carlos, 2013. "Penalized Quantile Regression with Semiparametric Correlated Effects: Applications with Heterogeneous Preferences," IZA Discussion Papers 7741, Institute of Labor Economics (IZA).
- Michael T. Kiley, 2024.
"Growth at risk from climate change,"
Economic Inquiry, Western Economic Association International, vol. 62(3), pages 1134-1151, July.
- Michael T. Kiley, 2021. "Growth at Risk From Climate Change," Finance and Economics Discussion Series 2021-054, Board of Governors of the Federal Reserve System (U.S.).
- Battagliola, Maria Laura & Sørensen, Helle & Tolver, Anders & Staicu, Ana-Maria, 2022. "A bias-adjusted estimator in quantile regression for clustered data," Econometrics and Statistics, Elsevier, vol. 23(C), pages 165-186.
- Su, Liangjun & Hoshino, Tadao, 2016.
"Sieve instrumental variable quantile regression estimation of functional coefficient models,"
Journal of Econometrics, Elsevier, vol. 191(1), pages 231-254.
- Su Liangjun & Tadao Hoshino, 2015. "Sieve Instrumental Variable Quantile Regression Estimation of Functional Coefficient Models," Working Papers 01-2015, Singapore Management University, School of Economics.
- repec:hal:journl:hal-03389176 is not listed on IDEAS
- Shuowen Chen, 2022. "Indirect Inference for Nonlinear Panel Models with Fixed Effects," Papers 2203.10683, arXiv.org, revised Apr 2022.
- Yu-Yen Ku & Tze-Yu Yen, 2016. "Heterogeneous Effect of Financial Leverage on Corporate Performance: A Quantile Regression Analysis of Taiwanese Companies," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 19(03), pages 1-33, September.
- 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).
- 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.
- Lamarche, Carlos & Parker, Thomas, 2023.
"Wild bootstrap inference for penalized quantile regression for longitudinal data,"
Journal of Econometrics, Elsevier, vol. 235(2), pages 1799-1826.
- Carlos Lamarche & Thomas Parker, 2020. "Wild Bootstrap Inference for Penalized Quantile Regression for Longitudinal Data," Papers 2004.05127, arXiv.org, revised May 2022.
- Carlos Lamarche & Thomas Parker, 2022. "Wild Bootstrap Inference For Penalized Quantile Regression For Longitudinal Data," Working Papers 22003 Classification-C15,, University of Waterloo, Department of Economics.
- Riccardo Crescenzi & Mara Giua, 2014. "The EU Cohesion policy in context: regional growth and the influence of agricultural and rural development policies," LEQS – LSE 'Europe in Question' Discussion Paper Series 85, European Institute, LSE.
- Paulo M.M. Rodrigues & Matei Demetrescu, 2022. "Cross-Sectional Error Dependence in Panel Quantile Regressions," Working Papers w202213, Banco de Portugal, Economics and Research Department.
- Paolo Frumento & Matteo Bottai & Iv'an Fern'andez-Val, 2020. "Parametric Modeling of Quantile Regression Coefficient Functions with Longitudinal Data," Papers 2006.00160, arXiv.org.
- Roger Koenker, 2017. "Quantile regression 40 years on," CeMMAP working papers CWP36/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Liang Chen & Yulong Huo, 2019. "A Simple Estimator for Quantile Panel Data Models Using Smoothed Quantile Regressions," Papers 1911.04729, arXiv.org.
- Jiaying Gu & Stanislav Volgushev, 2018. "Panel Data Quantile Regression with Grouped Fixed Effects," Papers 1801.05041, arXiv.org, revised Aug 2018.
- Jungmo Yoon & Antonio F. Galvao, 2020. "Cluster robust covariance matrix estimation in panel quantile regression with individual fixed effects," Quantitative Economics, Econometric Society, vol. 11(2), pages 579-608, May.
- Tu D. Q. Le & Dat T. Nguyen, 2020. "Capital Structure and Bank Profitability in Vietnam: A Quantile Regression Approach," JRFM, MDPI, vol. 13(8), pages 1-17, August.
- Eugénie Joltreau, 2022. "Extended Producer Responsibility, Packaging Waste Reduction and Eco-design," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 83(3), pages 527-578, November.
- Liang Chen, 2019. "Nonparametric Quantile Regressions for Panel Data Models with Large T," Papers 1911.01824, arXiv.org, revised Sep 2020.
- Junlong Feng, 2019. "Regularized Quantile Regression with Interactive Fixed Effects," Papers 1911.00166, arXiv.org, revised Mar 2021.
- Tomohiro Ando & Jushan Bai, 2020.
"Quantile Co-Movement in Financial Markets: A Panel Quantile Model With Unobserved Heterogeneity,"
Journal of the American Statistical Association, Taylor & Francis Journals, vol. 115(529), pages 266-279, January.
- Ando, Tomohiro & Bai, Jushan, 2018. "Quantile co-movement in financial markets: A panel quantile model with unobserved heterogeneity," MPRA Paper 88765, University Library of Munich, Germany.
- Galvao, Antonio F. & Kato, Kengo, 2016. "Smoothed quantile regression for panel data," Journal of Econometrics, Elsevier, vol. 193(1), pages 92-112.
- Samiul Haque, 2022. "US federal farm payments and farm size: Quantile estimation on panel data," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(1), pages 139-154, February.
- Jiang, Hai & Zhang, Jinyi & Sun, Chen, 2020. "How does capital buffer affect bank risk-taking? New evidence from China using quantile regression," China Economic Review, Elsevier, vol. 60(C).
- Galán, Jorge E., 2024. "The benefits are at the tail: Uncovering the impact of macroprudential policy on growth-at-risk," Journal of Financial Stability, Elsevier, vol. 74(C).
- Riccardo Crescenzi & Mara Giua, 2016.
"The EU Cohesion Policy in context: Does a bottom-up approach work in all regions?,"
Environment and Planning A, , vol. 48(11), pages 2340-2357, November.
- Riccardo Crescenzi & Mara Giua, 2016. "Eu Cohesion Policy In Context: Does A Bottom-Up Approach Work In All Regions?," Departmental Working Papers of Economics - University 'Roma Tre' 0206, Department of Economics - University Roma Tre.
- Crescenzi, Riccardo & Giua, Mara, 2016. "The EU cohesion policy in context: does a bottom-up approach work in all regions?," LSE Research Online Documents on Economics 66946, London School of Economics and Political Science, LSE Library.
- Ivan Fernandez-Val & Martin Weidner, 2014. "Individual and time effects in nonlinear panel models with large N , T," CeMMAP working papers 32/14, Institute for Fiscal Studies.
- Schorr, A. & Lips, M., 2018. "Influence of milk yield on profitability a quantile regression analysis," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277000, International Association of Agricultural Economists.
- Bargain, Olivier B. & Etienne, Audrey & Melly, Blaise, 2018. "Public Sector Wage Gaps over the Long-Run: Evidence from Panel Administrative Data," IZA Discussion Papers 11924, Institute of Labor Economics (IZA).
- Andres Sagner, 2020. "High Dimensional Quantile Factor Analysis," Working Papers Central Bank of Chile 886, Central Bank of Chile.
- Yiren Wang & Liangjun Su & Yichong Zhang, 2022. "Low-rank Panel Quantile Regression: Estimation and Inference," Papers 2210.11062, arXiv.org.
- repec:spo:wpmain:info:hdl:2441/1dniduq06u8se8q5enfvnorti9 is not listed on IDEAS
- Galvao, Antonio F. & Wang, Liang, 2015. "Efficient minimum distance estimator for quantile regression fixed effects panel data," Journal of Multivariate Analysis, Elsevier, vol. 133(C), pages 1-26.
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