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Carlos Lamarche

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. Carlos Lamarche & Thomas Parker, 2020. "Wild Bootstrap Inference for Penalized Quantile Regression for Longitudinal Data," Papers 2004.05127, arXiv.org, revised May 2022.

    Cited by:

    1. Antonio F. Galvao & Thomas Parker & Zhijie Xiao, 2021. "Bootstrap inference for panel data quantile regression," Papers 2111.03626, arXiv.org.
    2. Hartley, Robert Paul & Lamarche, Carlos & Ziliak, James P., 2023. "Bootstrapping quantile correlations with an application for income status across generations," Economics Letters, Elsevier, vol. 228(C).

  2. Matthew Harding & Carlos Lamarche & M. Hashem Pesaran, 2018. "Common Correlated Effects Estimation of Heterogeneous Dynamic Panel Quantile Regression Models," CESifo Working Paper Series 7211, CESifo.

    Cited by:

    1. 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.
    2. 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.
    3. Novelli, Giacomo, 2022. "Energy Dependency and Long-Run Growth," FEEM Working Papers 329650, Fondazione Eni Enrico Mattei (FEEM).
    4. Bataka, Hodabalo, 2021. "Globalization and Environmental Pollution in Sub-Saharan Africa," African Journal of Economic Review, African Journal of Economic Review, vol. 9(1), January.
    5. Artūras Juodis, 2022. "A regularization approach to common correlated effects estimation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(4), pages 788-810, June.
    6. Jose E. Gomez-Gonzalez & Jorge M. Uribe & Oscar M. Valencia, 2024. "Asymmetric Sovereign Risk: Implications for Climate Change Preparation," IREA Working Papers 202401, University of Barcelona, Research Institute of Applied Economics, revised Jan 2024.
    7. De Vos, Ignace & Everaert, Gerdie & Sarafidis, Vasilis, 2021. "A method for evaluating the rank condition for CCE estimators," MPRA Paper 112305, University Library of Munich, Germany, revised 09 Mar 2022.
    8. Gkillas, Konstantinos & Konstantatos, Christoforos & Papathanasiou, Spyros & Wohar, Mark, 2023. "Estimation of value at risk for copper," Journal of Commodity Markets, Elsevier, vol. 32(C).
    9. Giacomo Novelli, 2022. "Energy Dependency and Long-Run Growth," Working Papers 2022.42, Fondazione Eni Enrico Mattei.
    10. David Powell, 2022. "Quantile regression with nonadditive fixed effects," Empirical Economics, Springer, vol. 63(5), pages 2675-2691, November.
    11. 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.
    12. Abdullah Emre Caglar & Bulent Guloglu & Ayfer Gedikli, 2022. "Moving towards sustainable environmental development for BRICS: Investigating the asymmetric effect of natural resources on CO2," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(5), pages 1313-1325, October.
    13. Razzaq, Asif & Ajaz, Tahseen & Li, Jing Claire & Irfan, Muhammad & Suksatan, Wanich, 2021. "Investigating the asymmetric linkages between infrastructure development, green innovation, and consumption-based material footprint: Novel empirical estimations from highly resource-consuming economi," Resources Policy, Elsevier, vol. 74(C).
    14. Lee, Yoonseok & Sul, Donggyu, 2023. "Depth-weighted means of noisy data: An application to estimating the average effect in heterogeneous panels," Journal of Multivariate Analysis, Elsevier, vol. 196(C).
    15. Christis Katsouris, 2023. "Optimal Estimation Methodologies for Panel Data Regression Models," Papers 2311.03471, arXiv.org, revised Nov 2023.
    16. Ando, Tomohiro & Li, Kunpeng & Lu, Lina, 2023. "A spatial panel quantile model with unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 232(1), pages 191-213.
    17. Cepoi, Cosmin-Octavian, 2020. "Asymmetric dependence between stock market returns and news during COVID-19 financial turmoil," Finance Research Letters, Elsevier, vol. 36(C).
    18. Yang, Jisheng & Wei, Jinbao & Cai, Biqing, 2022. "Quantile unit root inference for panel data with common shocks," Economics Letters, Elsevier, vol. 219(C).

  3. 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.

    Cited by:

    1. 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.
    2. Babii, Andrii & Ball, Ryan T. & Ghysels, Eric & Striaukas, Jonas, 2023. "Machine learning panel data regressions with heavy-tailed dependent data: Theory and application," Journal of Econometrics, Elsevier, vol. 237(2).

  4. Hartley, Robert Paul & Lamarche, Carlos & Ziliak, James P., 2017. "Welfare Reform and the Intergenerational Transmission of Dependence," IZA Discussion Papers 10942, Institute of Labor Economics (IZA).

    Cited by:

    1. Gordon B. Dahl & Anne C. Gielen, 2021. "Intergenerational Spillovers in Disability Insurance," American Economic Journal: Applied Economics, American Economic Association, vol. 13(2), pages 116-150, April.
    2. Katie Jajtner & Matt Messel & Jason Fletcher, 2023. "Social Security Disability Insurance and intergenerational economic mobility," Contemporary Economic Policy, Western Economic Association International, vol. 41(4), pages 575-593, October.
    3. Mike Brewer & Thang Dang & Emma Tominey, 2022. "Universal Credit: Welfare Reform and Mental Health," Working Papers 2022-008, Human Capital and Economic Opportunity Working Group.
    4. Cobb-Clark, Deborah A. & Dahmann, Sarah C. & Salamanca, Nicolás & Zhu, Anna, 2022. "Intergenerational disadvantage: Learning about equal opportunity from social assistance receipt," Labour Economics, Elsevier, vol. 79(C).
    5. Dhaval M. Dave & Hope Corman & Ariel Kalil & Ofira Schwartz-Soicher & Nancy Reichman, 2019. "Intergenerational Effects of Welfare Reform: Adolescent Delinquent and Risky Behaviors," NBER Working Papers 25527, National Bureau of Economic Research, Inc.
    6. Gabriela Galassi & David Koll & Lukas Mayr, 2019. "The Intergenerational Correlation of Employment: Is There a Role for Work Culture?," Staff Working Papers 19-33, Bank of Canada.
    7. Nicardo S. McInnis & Katherine Michelmore & Natasha Pilkauskas, 2023. "The Intergenerational Transmission of Poverty and Public Assistance: Evidence from the Earned Income Tax Credit," NBER Working Papers 31429, National Bureau of Economic Research, Inc.
    8. Suziedelyte, Agne & Zhu, Anna, 2021. "The intergenerational impact of reduced generosity in the social safety net," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 1-24.
    9. Barbara Broadway & Anna Zhu, 2023. "Spatial heterogeneity in welfare reform success," Melbourne Institute Working Paper Series wp2023n13, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    10. Mello, Ursula & Nybom, Martin & Stuhler, Jan, 2022. "A lifecycle estimator of intergenerational income mobility," Working Paper Series 2022:21, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    11. Gabrielle Pepin, 2022. "The effects of welfare time limits on access to financial resources: Evidence from the 2010s," Southern Economic Journal, John Wiley & Sons, vol. 88(4), pages 1343-1372, April.
    12. Marte E. S. Ulvestad & Simen Markussen, 2023. "Born or bred? The roles of nature and nurture for intergenerational persistence in labour market outcomes," Journal of Population Economics, Springer;European Society for Population Economics, vol. 36(2), pages 1005-1047, April.
    13. Monique De Haan & Ragnhild C. Schreiner, 2018. "The Intergenerational Transmission of Welfare Dependency," RF Berlin - CReAM Discussion Paper Series 1810, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
    14. Galassi, Gabriela & Koll, David & Mayr, Lukas, 2019. "The Intergenerational Correlation of Employment: Is There a Role for Work Culture?," IZA Discussion Papers 12595, Institute of Labor Economics (IZA).
    15. Bethencourt, Carlos & Kunze, Lars, 2022. "The economics of crime and socialization: The role of the family," Journal of Economic Behavior & Organization, Elsevier, vol. 197(C), pages 579-597.
    16. Barbara Broadway & Tessa LoRiggio & Chris Ryan & Anna Zhu, 2022. "Literature review on the impact of welfare policy design on children and youth," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 809-840, September.
    17. Cobb-Clark, Deborah A. & Dahmann, Sarah C. & Gielen, Anne C., 2020. "The Intergenerational Effects of Requiring Unemployment Benefit Recipients to Engage in Non-Search Activities," IZA Discussion Papers 13618, Institute of Labor Economics (IZA).
    18. Dave, Dhaval M. & Corman, Hope & Kalil, Ariel & Schwartz-Soicher, Ofira & Reichman, Nancy E., 2019. "Effects of Maternal Work Incentives on Adolescent Social Behaviors," IZA Discussion Papers 12208, Institute of Labor Economics (IZA).
    19. Jim Been & Anne C. Gielen & Marike Knoef & Gloria Moroni, 2022. "Prolonged worklife among grandfathers: Spillover effects on grandchildren's educational outcomes," Tinbergen Institute Discussion Papers 22-033/V, Tinbergen Institute.
    20. Kunz, Johannes S. & Zhu, Anna, 2023. "Welfare Reform and Migrant's Long-Term Labor Market Integration," IZA Discussion Papers 16285, Institute of Labor Economics (IZA).
    21. Jonathan Davis & Bhashkar Mazumder, 2017. "The Decline in Intergenerational Mobility After 1980," Working Paper Series WP-2017-5, Federal Reserve Bank of Chicago, revised 14 Jan 2022.
    22. Timothy M. Smeeding, 2018. "The PSID in Research and Policy," The ANNALS of the American Academy of Political and Social Science, , vol. 680(1), pages 29-47, November.
    23. Feichtmayer, Jennifer & Riphahn, Regina T., 2023. "Intergenerational Transmission of Welfare Benefit Receipt: Evidence from Germany," IZA Discussion Papers 16660, Institute of Labor Economics (IZA).
    24. Pier-André Bouchard St-Amant & Louis Perrault, 2019. "Poverty and Savings: Optimal Taxes with Endogenous Discount Factors," Public Finance Review, , vol. 47(5), pages 828-863, September.
    25. Fletcher, Jason & Jajtner, Katie M., 2023. "Multidimensional intergenerational mobility," Social Science & Medicine, Elsevier, vol. 328(C).
    26. Mike Brewer & Thang Dang & Emma Tominey, 2023. "Welfare reform: Employment, mental health and intrahousehold insurance," CEPEO Working Paper Series 23-06, UCL Centre for Education Policy and Equalising Opportunities.
    27. Willén, Alexander & Willage, Barton & Riise, Julie, 2022. "Employment Protection and Child Development," Discussion Paper Series in Economics 19/2022, Norwegian School of Economics, Department of Economics.
    28. Hartley, Robert Paul & Lamarche, Carlos & Ziliak, James P., 2023. "Bootstrapping quantile correlations with an application for income status across generations," Economics Letters, Elsevier, vol. 228(C).
    29. Godoey, Anna & Reich, Michael & Allegretto, Sylvia, 2019. "Parental Labor Supply: Evidence from Minimum Wage Changes. Working Paper #103-19," Institute for Research on Labor and Employment, Working Paper Series qt1f66h44t, Institute of Industrial Relations, UC Berkeley.
    30. Vaughn, Cody N., 2023. "Welfare reform and childhood health status and utilization," Children and Youth Services Review, Elsevier, vol. 150(C).
    31. Ding, Xiaozhou, 2021. "College education and internal migration in China," China Economic Review, Elsevier, vol. 69(C).
    32. Johannes Kunz & Anna Zhu, 2023. "Welfare Reform and Migrant’s Long-term Labor Market Integration," Papers 2023-05, Centre for Health Economics, Monash University.
    33. Buckles, Kasey, 2017. "Maternal Socio-Economic Status and the Well-Being of the Next Generation(s)," IZA Discussion Papers 10714, Institute of Labor Economics (IZA).

  5. Hartley, Robert Paul & Lamarche, Carlos, 2017. "Behavioral Responses and Welfare Reform: Evidence from a Randomized Experiment," IZA Discussion Papers 10905, Institute of Labor Economics (IZA).

    Cited by:

    1. Friedrichsen, Jana & König, Tobias & Schmacker, Renke, 2018. "Social image concerns and welfare take-up," Discussion Papers, Research Unit: Market Behavior SP II 2016-208r, WZB Berlin Social Science Center, revised 2018.
    2. Marcelo Bergolo & Guillermo Cruces, 2016. "The Anatomy of Behavioral Responses to Social Assistance when Informal Employment is High," CEDLAS, Working Papers 0204, CEDLAS, Universidad Nacional de La Plata.

  6. Dakshina G. De Silva & Timothy Dunne & Georgia Kosmopoulou & Carlos Lamarche, 2015. "Project modifications and bidding in highway procurement auctions," FRB Atlanta Working Paper 2015-14, Federal Reserve Bank of Atlanta.

    Cited by:

    1. Francesco Decarolis & Leonardo M Giuffrida & Elisabetta Iossa & Vincenzo Mollisi & Giancarlo Spagnolo, 2020. "Bureaucratic Competence and Procurement Outcomes [“Politics and Economics in Weak and Strong States]," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 36(3), pages 537-597.
    2. Nyström, Johan & Wikström, Daniel, 2019. "Empirical analysis of unbalanced bidding on Swedish roads," Working Papers 2019:4, Swedish National Road & Transport Research Institute (VTI).

  7. Lamarche, Carlos, 2013. "Industry-Wide Work Rules and Productivity: Evidence from Argentine Union Contract Data," IZA Discussion Papers 7673, Institute of Labor Economics (IZA).

    Cited by:

    1. Carlos Lamarche, 2015. "Collective bargaining in developing countries," IZA World of Labor, Institute of Labor Economics (IZA), pages 183-183, September.
    2. Romain Duval & Prakash Loungani, 2021. "Designing Labor Market Institutions in Emerging Market and Developing Economies: A Review of Evidence and IMF Policy Advice," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 63(1), pages 31-83, March.
    3. Patrice Laroche, 2020. "Unions, Collective Bargaining and Firm Performance," Post-Print hal-03058266, HAL.

  8. 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).

    Cited by:

    1. 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.
    2. Hartley, Robert Paul & Lamarche, Carlos, 2017. "Behavioral Responses and Welfare Reform: Evidence from a Randomized Experiment," IZA Discussion Papers 10905, Institute of Labor Economics (IZA).
    3. Jiaying Gu & Stanislav Volgushev, 2018. "Panel Data Quantile Regression with Grouped Fixed Effects," Papers 1801.05041, arXiv.org, revised Aug 2018.
    4. 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.
    5. 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.
    6. Zongwu Cai & Meng Shi & Yue Zhao & Wuqing Wu, 2020. "Testing Financial Hierarchy Based on A PDQ-CRE Model," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202011, University of Kansas, Department of Economics, revised Jul 2020.
    7. Al Rababa'a, Abdel Razzaq & Alomari, Mohammad & Mensi, Walid & Matar, Ali & Saidat, Zaid, 2021. "Does tracking the infectious diseases impact the gold, oil and US dollar returns and correlation? A quantile regression approach," Resources Policy, Elsevier, vol. 74(C).
    8. Liyun Zhou & Weinan Lin & Chunpeng Yang, 2024. "Investor trading behavior and asset prices: Evidence from quantile regression analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 1722-1744, April.
    9. 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.
    10. Alomari, Mohammad & Al Rababa'a, Abdel Razzaq & Ur Rehman, Mobeen & Power, David M., 2022. "Infectious diseases tracking and sectoral stock market returns: A quantile regression analysis," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    11. 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.
    12. Gu, Jiaying & Volgushev, Stanislav, 2019. "Panel data quantile regression with grouped fixed effects," Journal of Econometrics, Elsevier, vol. 213(1), pages 68-91.

  9. Harding, Matthew & Lamarche, Carlos, 2012. "Estimating and Testing a Quantile Regression Model with Interactive Effects," IZA Discussion Papers 6802, Institute of Labor Economics (IZA).

    Cited by:

    1. 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.
    2. 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.
    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. Jonathan R. W. Temple & Nicolas Van de Sijpe, 2014. "Foreign Aid and Domestic Absorption," CSAE Working Paper Series 2014-01, Centre for the Study of African Economies, University of Oxford.
    5. Dong-Hyeon Kim & Joyce Hsieh & Shu-Chin Lin, 2021. "Financial liberalization, political institutions, and income inequality," Empirical Economics, Springer, vol. 60(3), pages 1245-1281, March.
    6. Nadine Levratto & Aziza Garsaa & Luc Tessier, 2013. "To what extent do exemptions from social security contributions affect firm growth? New evidence using quantile estimations on panel data," EconomiX Working Papers 2013-15, University of Paris Nanterre, EconomiX.
    7. Hartley, Robert Paul & Lamarche, Carlos, 2017. "Behavioral Responses and Welfare Reform: Evidence from a Randomized Experiment," IZA Discussion Papers 10905, Institute of Labor Economics (IZA).
    8. Liang Chen & Yulong Huo, 2019. "A Simple Estimator for Quantile Panel Data Models Using Smoothed Quantile Regressions," Papers 1911.04729, arXiv.org.
    9. Dai, Jiawa & Feng, Yuchen & Wang, Ziuqing & Yuan, Guang, 2021. "Does higher market power necessarily reduce efficiency? Evidence from Chinese rice processing enterprises," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 24(1).
    10. 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.
    11. Weili Ding & Steven F. Lehrer, 2014. "Understanding the Role of Time-Varying Unobserved Ability Heterogeneity in Education Production," NBER Working Papers 19937, National Bureau of Economic Research, Inc.
    12. Boneva, L. & Linton, O., 2017. "A Discrete Choice Model For Large Heterogeneous Panels with Interactive Fixed Effects with an Application to the Determinants of Corporate Bond Issuance," Cambridge Working Papers in Economics 1703, Faculty of Economics, University of Cambridge.
    13. Junlong Feng, 2019. "Regularized Quantile Regression with Interactive Fixed Effects," Papers 1911.00166, arXiv.org, revised Mar 2021.
    14. 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.
    15. 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.
    16. Giovanni Forchini & Bin Jiang & Bin Peng, 2018. "TSLS and LIML Estimators in Panels with Unobserved Shocks," Econometrics, MDPI, vol. 6(2), pages 1-12, April.
    17. Liang Chen & Juan Jose Dolado & Jesus Gonzalo, 2019. "Quantile Factor Models," Papers 1911.02173, arXiv.org, revised Sep 2020.
    18. Badi Baltagi & Peter Egger, 2016. "Estimation of structural gravity quantile regression models," Empirical Economics, Springer, vol. 50(1), pages 5-15, February.
    19. Artūras Juodis, 2022. "A regularization approach to common correlated effects estimation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(4), pages 788-810, June.
    20. Simplice A. Asongu & Jacinta C. Nwachukwu, 2016. "Welfare Spending and Quality of Growth in Developing Countries: A Note on Evidence from Hopefuls, Contenders and Best Performers," Research Africa Network Working Papers 16/028, Research Africa Network (RAN).
    21. Mohitosh Kejriwal & Xiaoxiao Li & Evan Totty, 2020. "Multidimensional skills and the returns to schooling: Evidence from an interactive fixed‐effects approach and a linked survey‐administrative data set," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 548-566, August.
    22. Mohitosh Kejriwal & Xiaoxiao Li & Evan Totty, 2019. "Multidemsional Skills and Returns to Schooling: Evidence from an Interactive Fixed Effects Aproach and a Linked Survey-Administrative Dataset," Purdue University Economics Working Papers 1316, Purdue University, Department of Economics.
    23. 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.
    24. 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.
    25. Philip Kostov & Julie Le Gallo, 2018. "What role for human capital in the growth process: new evidence from endogenous latent factor panel quantile regressions," Scottish Journal of Political Economy, Scottish Economic Society, vol. 65(5), pages 501-527, November.
    26. 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.
    27. Nadine Levratto & Aziza Garsaa & Luc Tessier, 2013. "La Corse est-elle soluble dans le modèle méditerranéen ?," Working Papers hal-00842059, HAL.
    28. Andres Sagner, 2020. "High Dimensional Quantile Factor Analysis," Working Papers Central Bank of Chile 886, Central Bank of Chile.
    29. Boudt, Kris & Heyndels, Ewoud, 2024. "Robust interactive fixed effects," Econometrics and Statistics, Elsevier, vol. 29(C), pages 206-223.
    30. Harding, Matthew & Lamarche, Carlos, 2014. "A Hausman–Taylor instrumental variable approach to the penalized estimation of quantile panel models," Economics Letters, Elsevier, vol. 124(2), pages 176-179.
    31. Castagnetti, Carolina & Giorgetti, Maria Letizia, 2019. "Understanding the gender wage-gap differential between the public and private sectors in Italy: A quantile approach," Economic Modelling, Elsevier, vol. 78(C), pages 240-261.
    32. Chen, Liang, 2015. "Set identification of panel data models with interactive effects via quantile restrictions," Economics Letters, Elsevier, vol. 137(C), pages 36-40.
    33. Ruofan Xu & Jiti Gao & Tatsushi Oka & Yoon-Jae Whang, 2022. "Estimation of Heterogeneous Treatment Effects Using Quantile Regression with Interactive Fixed Effects," Monash Econometrics and Business Statistics Working Papers 13/22, Monash University, Department of Econometrics and Business Statistics.
    34. Forchini Giovanni & Jiang Bin & Peng Bin, 2020. "Instrumental Variables Estimation in Large Heterogeneous Panels with Multifactor Structure," Journal of Econometric Methods, De Gruyter, vol. 9(1), pages 1-22, January.
    35. Ye, Xiaoqing & Xu, Juan & Wu, Xiangjun, 2018. "Estimation of an unbalanced panel data Tobit model with interactive effects," Journal of choice modelling, Elsevier, vol. 28(C), pages 108-123.
    36. Carolina Castagnetti & Luisa Rosti & Marina Toepfer, 2019. "The Public-Private Sector Wage Differential Across Gender in Italy: a New Quantile-Based Decomposition Approach," DEM Working Papers Series 172, University of Pavia, Department of Economics and Management.
    37. Lena Boneva (Körber) & Oliver Linton, 2017. "A discrete choice model for large heterogeneous panels with interactive fixed effects with an application to the determinants of corporate bond issuance," CeMMAP working papers 02/17, Institute for Fiscal Studies.
    38. 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.
    39. Carolina Castagnetti, 2015. "The Analysis of the Gender Wage Gap in the Italian Public Sector: a Quantile Approach for Panel Data," DEM Working Papers Series 109, University of Pavia, Department of Economics and Management.
    40. Nadine Levratto & Aziza Garsaa & Luc Tessier, 2013. "La Corse est-elle soluble dans le modèle méditerranéen ? Une analyse à partir d’une régression quantile sur données d’entreprises en panel entre 2004 et 2010. Is the Corsican economy a part of the Med," EconomiX Working Papers 2013-20, University of Paris Nanterre, EconomiX.
    41. 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.
    42. Sylvie Charlot & Riccardo Crescenzi & Antonio Musolesi, 2014. "Augmented and Unconstrained: revisiting the Regional Knowledge Production Function," SEEDS Working Papers 2414, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Aug 2014.
    43. Sherrilyn Billger & Carlos Lamarche, 2015. "A panel data quantile regression analysis of the immigrant earnings distribution in the United Kingdom and United States," Empirical Economics, Springer, vol. 49(2), pages 705-750, September.
    44. 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.
    45. 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.
    46. Bai, Jushan & Liao, Yuan, 2017. "Inferences in panel data with interactive effects using large covariance matrices," Journal of Econometrics, Elsevier, vol. 200(1), pages 59-78.
    47. 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).
    48. Ali Aghamohammadi, 2018. "Bayesian analysis of dynamic panel data by penalized quantile regression," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 27(1), pages 91-108, March.
    49. Cepoi, Cosmin-Octavian, 2020. "Asymmetric dependence between stock market returns and news during COVID-19 financial turmoil," Finance Research Letters, Elsevier, vol. 36(C).

  10. Dakshina G. De Silva & Timothy Dunne & Georgia Kosmopoulou & Carlos Lamarche, 2011. "Disadvantaged business enterprise goals in government procurement contracting: an analysis of bidding behavior and costs," Working Papers (Old Series) 1102, Federal Reserve Bank of Cleveland.

    Cited by:

    1. Rosa, Benjamin, 2019. "Affirmative Action Subcontracting Regulations in Dynamic Procurement Auctions," MPRA Paper 93065, University Library of Munich, Germany.
    2. Rosa, Benjamin, 2022. "Diversity versus Equity in Government Contracting," MPRA Paper 114765, University Library of Munich, Germany.
    3. Hojin Jung & Georgia Kosmopoulou & Robert Press & Richard Sicotte, 2022. "Subcontracting and the incidence of change orders in procurement contracts," Economic Inquiry, Western Economic Association International, vol. 60(1), pages 247-264, January.
    4. De Silva, Dakshina G. & Kosmopoulou, Georgia & Lamarche, Carlos, 2017. "Subcontracting and the survival of plants in the road construction industry: A panel quantile regression analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 137(C), pages 113-131.
    5. De Silva, Dakshina G. & Hubbard, Timothy P. & Kosmopoulou, Georgia, 2020. "An evaluation of a bidder training program," International Journal of Industrial Organization, Elsevier, vol. 72(C).
    6. Georgia Kosmopoulou & Xueqi Zhou, 2014. "Price Adjustment Policies in Procurement Contracting: An Analysis of Bidding Behavior," Journal of Industrial Economics, Wiley Blackwell, vol. 62(1), pages 77-112, March.
    7. Laura Rondi & Paola Valbonesi, 2017. "Pre- and post-award outsourcing: Temporary partnership versus subcontracting in public procurement," "Marco Fanno" Working Papers 0211, Dipartimento di Scienze Economiche "Marco Fanno".
    8. Rosa, Benjamin, 2016. "Subcontracting Requirements and the Cost of Government Procurement," MPRA Paper 77392, University Library of Munich, Germany.
    9. De Silva, Dakshina G. & Hubbard, Timothy P. & Kosmopoulou, Georgia, 2013. "Efficacy of a Bidder Training Program: Lessons from LINC," MPRA Paper 51329, University Library of Munich, Germany.
    10. Luigi Moretti & Paola Valbonesi, 2012. "Subcontracting in Public Procurement: An Empirical Investigation," "Marco Fanno" Working Papers 0154, Dipartimento di Scienze Economiche "Marco Fanno".
    11. Deltas, George & Evenett, Simon, 2020. "Language as a barrier to entry: Foreign competition in Georgian public procurement," International Journal of Industrial Organization, Elsevier, vol. 73(C).
    12. Lei He & Georgia Kosmopoulou, 2021. "Subcontracting Network Formation Among U.S. Airline Carriers," Journal of Industrial Economics, Wiley Blackwell, vol. 69(4), pages 817-853, December.
    13. Strömbäck, Elon, 2015. "Policy by Public Procurement: Opportunities and Pitfalls," Umeå Economic Studies 915, Umeå University, Department of Economics.

  11. Billger, Sherrilyn M. & Lamarche, Carlos, 2010. "Immigrant Heterogeneity and the Earnings Distribution in the United Kingdom and United States: New Evidence from a Panel Data Quantile Regression Analysis," IZA Discussion Papers 5260, Institute of Labor Economics (IZA).

    Cited by:

    1. Pablo Swedberg & Santiago Budria, 2015. "Education and earnings: how immigrants perform across the earnings distribution in Spain," Investigaciones de Economía de la Educación volume 10, in: Marta Rahona López & Jennifer Graves (ed.), Investigaciones de Economía de la Educación 10, edition 1, volume 10, chapter 42, pages 829-842, Asociación de Economía de la Educación.
    2. Santiago Budría & Carlos Martinez de Ibarreta & Pablo Swedberg, 2017. "The impact of host language proficiency across the immigrants’ earning distribution in Spain," IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 7(1), pages 1-27, December.
    3. Vinish Shrestha, 2015. "Estimating the Price Elasticity of Demand for Different Levels of Alcohol Consumption among Young Adults," American Journal of Health Economics, MIT Press, vol. 1(2), pages 224-254, Spring.
    4. Budría, Santiago & Swedberg, Pablo & Fonseca, Marlene, 2016. "Returns to Schooling among Immigrants in Spain: A Quantile Regression Approach," IZA Discussion Papers 10064, Institute of Labor Economics (IZA).

  12. De Silva, Dakshina G. & Kosmopoulou, Georgia & Lamarche, Carlos, 2007. "The Effect of Information on the Bidding and Survival of Entrants in Procurement Auctions," MPRA Paper 5236, University Library of Munich, Germany.

    Cited by:

    1. Dakshina Garfield De Silva & Marina Gertsberg & Rachel Pownall, 2016. "Market Evolution, Bidding Strategies, and Survival of Art Dealers," Working Papers 138739557, Lancaster University Management School, Economics Department.
    2. Stéphane Saussier & Carine Staropoli & Anne Yvrande-Billon, 2009. "Public Private Agreements, Institutions and Competition : when Economic Theory meets Facts," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00429712, HAL.
    3. Wenzheng Gao & Daiqiang Zhang & Naibao Zhao, 2021. "Uncertainty In Procurement Contracting With Time Incentives," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(3), pages 1153-1197, August.
    4. David Barrus & Frank Scott, 2020. "Single Bidders and Tacit Collusion in Highway Procurement Auctions," Journal of Industrial Economics, Wiley Blackwell, vol. 68(3), pages 483-522, September.
    5. Cappelletti, Matilde & Giuffrida, Leonardo M., 2021. "Procuring survival," ZEW Discussion Papers 21-093, ZEW - Leibniz Centre for European Economic Research.
    6. Carnehl, Christoph & Weiergraeber, Stefan, 2023. "Bidder asymmetries in procurement auctions: Efficiency vs. information – Evidence from railway passenger services," International Journal of Industrial Organization, Elsevier, vol. 87(C).
    7. Andrey Tkachenko & Paola Valbonesi & Elena Shadrina & Gegam Shagbazian, 2019. "Efficient design of set-aside auctions for small businesses: an empirical analysis," "Marco Fanno" Working Papers 0240, Dipartimento di Scienze Economiche "Marco Fanno".
    8. Iossa, Elisabetta & Rey, Patrick & Waterson, Michael, 2019. "Organizing Competition for the Market," CEPR Discussion Papers 13461, C.E.P.R. Discussion Papers.
    9. Dakshina Garfield De Silva & Marina Gertsberg & Georgia Kosmopoulou & Rachel Pownall, 2017. "Dealer Networks in the World of Art," Working Papers 198144199, Lancaster University Management School, Economics Department.
    10. Dejan Makovšek & Adrian Bridge, 2021. "Procurement Choices and Infrastructure Costs," NBER Chapters, in: Economic Analysis and Infrastructure Investment, pages 277-327, National Bureau of Economic Research, Inc.
    11. Bedri Kamil Onur Tas & Rasim Ozcan & Ilke Onur, 2008. "Public Procurement Auctions and Competition in Turkey," Working Papers 0814, TOBB University of Economics and Technology, Department of Economics.
    12. Dakshina G. De Silva & Timothy Dunne & Georgia Kosmopoulou & Carlos Lamarche, 2015. "Project modifications and bidding in highway procurement auctions," FRB Atlanta Working Paper 2015-14, Federal Reserve Bank of Atlanta.
    13. Klenio Barbosa & Pierre C. Boyer, 2012. "Discrimination in Dynamic Procurement Design with Learning-by-doing," CESifo Working Paper Series 3947, CESifo.
    14. De Silva, Dakshina G. & Kosmopoulou, Georgia & Lamarche, Carlos, 2017. "Subcontracting and the survival of plants in the road construction industry: A panel quantile regression analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 137(C), pages 113-131.
    15. Martin Schmidt, 2015. "Price Determination in Public Procurement: A Game Theory Approach," European Financial and Accounting Journal, Prague University of Economics and Business, vol. 2015(1), pages 49-62.
    16. Iossa, Elisabetta & Waterson, Michael, 2019. "Maintaining competition in recurrent procurement contracts: A case study on the London bus market," Transport Policy, Elsevier, vol. 75(C), pages 141-149.
    17. Laurent Lamy & Manasa Patnam & Michael Visser, 2023. "Distinguishing Incentive from Selection Effects in Auction-Determined Contracts," Post-Print hal-03924664, HAL.
    18. De Silva, Dakshina G. & Hubbard, Timothy P. & Kosmopoulou, Georgia, 2020. "An evaluation of a bidder training program," International Journal of Industrial Organization, Elsevier, vol. 72(C).
    19. De Silva, Dakshina G. & Kosmopoulou, Georgia & Lamarche, Carlos, 2012. "Survival of contractors with previous subcontracting experience," Economics Letters, Elsevier, vol. 117(1), pages 7-9.
    20. Olga Balaeva & Yuliya Rodionova & Andrei A. Yakovlev & Andrey Tkachenko, 2021. "Public Procurement Efficiency As Perceived By Market Participants: The Case Of Russia," HSE Working papers WP BRP 29/PSP/2021, National Research University Higher School of Economics.
    21. Vigren, Andreas, 2017. "How many want to drive the bus? analyzing the number of bids for public transport bus contracts," Working papers in Transport Economics 2017:13, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    22. Georgia Kosmopoulou & Xueqi Zhou, 2014. "Price Adjustment Policies in Procurement Contracting: An Analysis of Bidding Behavior," Journal of Industrial Economics, Wiley Blackwell, vol. 62(1), pages 77-112, March.
    23. Takano, Guillermo, 2021. "The competitive performance of public-private partnership markets. The case of unsolicited proposals in Peru," Utilities Policy, Elsevier, vol. 72(C).
    24. Georgia Kosmopoulou & Carlos Lamarche & Xueqi Zhou, 2016. "Price Adjustment Policies And Firm Size," Economic Inquiry, Western Economic Association International, vol. 54(2), pages 895-906, April.
    25. Bedri Kamil Onur Tas, 2014. "How to Achieve Efficiency in Public Procurement Auctions," EcoMod2014 6728, EcoMod.
    26. Andrey V. Tkachenko & Andrei A. Yakovlev & Olga A. Demidova & Irina O. Volmenskikh, 2014. "The Effects Of Regulatory Reforms On Public Procurement: The Case Of A National University In Russia," HSE Working papers WP BRP 19/PA/2014, National Research University Higher School of Economics.
    27. De Silva, Dakshina G. & Hubbard, Timothy P. & Kosmopoulou, Georgia, 2013. "Efficacy of a Bidder Training Program: Lessons from LINC," MPRA Paper 51329, University Library of Munich, Germany.
    28. Dakshina De Silva & Thomas Jeitschko & Georgia Kosmopoulou, 2009. "Entry and Bidding in Common and Private Value Auctions with an Unknown Number of Rivals," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 35(1), pages 73-93, September.
    29. Ilke Onur & Bedri Kamil Onur Tas, 2019. "Optimal bidder participation in public procurement auctions," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 26(3), pages 595-617, June.

  13. Sebastian Galiani & Walter Sosa Escudero & Carlos Lamarche & Alberto Porto, 2004. "Persistence and Regional Disparities in Unemployment," Working Papers 71, Universidad de San Andres, Departamento de Economia, revised May 2004.

    Cited by:

    1. Alberto Porto & Atilio Elizagaray, 2011. "Regional Development, Regional Disparities and Public Policies in Argentina: A Long-run View," Chapters, in: Werner Baer & David Fleischer (ed.), The Economies of Argentina and Brazil, chapter 16, Edward Elgar Publishing.
    2. Carlos Lamarche, 2013. "Industry-wide work rules and productivity: evidence from Argentine union contract data," IZA Journal of Labor & Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 2(1), pages 1-25, December.
    3. Herrera Gómez, Marcos, 2013. "Análisis de Estructuras Espaciales Persistentes. Desempleo Departamental en Argentina [Persistent Spatial Structure Analysis. Regional Unemployment in Argentina]," MPRA Paper 49407, University Library of Munich, Germany.
    4. Roberto Cortes Conde, 2008. "Spanish America Colonial Patterns: The Rio de La Plata," Working Papers 96, Universidad de San Andres, Departamento de Economia, revised Mar 2008.

  14. Carlos Lamarche & Alberto Porto & Walter Sosa Escudero, 1998. "Aspectos Regionales del Desempleo en la Argentina," IIE, Working Papers 008, IIE, Universidad Nacional de La Plata.

    Cited by:

    1. Herrera Gómez, Marcos, 2013. "Análisis de Estructuras Espaciales Persistentes. Desempleo Departamental en Argentina [Persistent Spatial Structure Analysis. Regional Unemployment in Argentina]," MPRA Paper 49407, University Library of Munich, Germany.
    2. José R. Gamarra, 2006. "¿Cómo se comportan las tasas de desempleo en siete ciudades colombianas?," Revista de Economía del Rosario, Universidad del Rosario, December.
    3. César Augusto MERCHÁN HERNÁNDEZ, 2014. "Desempleo y ocupación en las ciudades colombianas. Un ejercicio con datos panel," Archivos de Economía 11212, Departamento Nacional de Planeación.

  15. Marcus Alexander & Matthew Harding & Carlos Lamarche, "undated". "The Political Economy of Heterogeneous Development: Quartile Effects of Income and Education," Discussion Papers 07-052, Stanford Institute for Economic Policy Research.

    Cited by:

    1. Marcus Alexander & Matthew Harding & Carlos Lamarche, 2009. "The Human Cost of Economic Crises," Discussion Papers 08-029, Stanford Institute for Economic Policy Research.
    2. Natina Yaduma & Mika Kortelainen & Ada Wossink, 2013. "The Environmental Kuznets Curve at Different Levels of Economic Development: A Counterfactual Quantile Regression Analysis for CO2 Emissions," Economics Discussion Paper Series 1322, Economics, The University of Manchester.
    3. Harding, Matthew & Lamarche, Carlos, 2009. "A quantile regression approach for estimating panel data models using instrumental variables," Economics Letters, Elsevier, vol. 104(3), pages 133-135, September.

Articles

  1. 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.
    See citations under working paper version above.
  2. Robert Paul Hartley & Carlos Lamarche & James P. Ziliak, 2022. "Welfare Reform and the Intergenerational Transmission of Dependence," Journal of Political Economy, University of Chicago Press, vol. 130(3), pages 523-565.
    See citations under working paper version above.
  3. Matthew Harding & Carlos Lamarche & M. Hashem Pesaran, 2020. "Common correlated effects estimation of heterogeneous dynamic panel quantile regression models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(3), pages 294-314, April.
    See citations under working paper version above.
  4. 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.
    See citations under working paper version above.
  5. Hojin Jung & Georgia Kosmopoulou & Carlos Lamarche & Richard Sicotte, 2019. "Strategic Bidding And Contract Renegotiation," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 60(2), pages 801-820, May.

    Cited by:

    1. Bonifaz, José L. & Saavedra, Eduardo H., 2023. "Aggressive bidding and the renegotiation of concession contracts: Empirical evidence from Peru," Utilities Policy, Elsevier, vol. 85(C).
    2. Hojin Jung & Georgia Kosmopoulou & Robert Press & Richard Sicotte, 2022. "Subcontracting and the incidence of change orders in procurement contracts," Economic Inquiry, Western Economic Association International, vol. 60(1), pages 247-264, January.

  6. Hartley, Robert Paul & Lamarche, Carlos, 2018. "Behavioral responses and welfare reform: Evidence from a randomized experiment," Labour Economics, Elsevier, vol. 54(C), pages 135-151.
    See citations under working paper version above.
  7. De Silva, Dakshina G. & Kosmopoulou, Georgia & Lamarche, Carlos, 2017. "Subcontracting and the survival of plants in the road construction industry: A panel quantile regression analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 137(C), pages 113-131.

    Cited by:

    1. Cappelletti, Matilde & Giuffrida, Leonardo M., 2021. "Procuring survival," ZEW Discussion Papers 21-093, ZEW - Leibniz Centre for European Economic Research.
    2. Hojin Jung & Georgia Kosmopoulou & Robert Press & Richard Sicotte, 2022. "Subcontracting and the incidence of change orders in procurement contracts," Economic Inquiry, Western Economic Association International, vol. 60(1), pages 247-264, January.
    3. B. Cesi & M. Lorusso, 2020. "Collusion in public procurement: the role of subcontracting," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 37(1), pages 251-265, April.
    4. Rosa, Benjamin, 2016. "Subcontracting Requirements and the Cost of Government Procurement," MPRA Paper 77392, University Library of Munich, Germany.
    5. Lei He & Georgia Kosmopoulou, 2021. "Subcontracting Network Formation Among U.S. Airline Carriers," Journal of Industrial Economics, Wiley Blackwell, vol. 69(4), pages 817-853, December.

  8. 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.
    See citations under working paper version above.
  9. Matthew Harding & Carlos Lamarche, 2016. "Empowering Consumers Through Data and Smart Technology: Experimental Evidence on the Consequences of Time‐of‐Use Electricity Pricing Policies," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 35(4), pages 906-931, September.

    Cited by:

    1. Chakraborty, Chiranjit & Joseph, Andreas, 2017. "Machine learning at central banks," Bank of England working papers 674, Bank of England.
    2. Jacobsen, Grant D. & Stewart, James I., 2022. "How do consumers respond to price complexity? Experimental evidence from the power sector," Journal of Environmental Economics and Management, Elsevier, vol. 116(C).
    3. Harding, Matthew & Kettler, Kyle & Lamarche, Carlos & Ma, Lala, 2023. "The (alleged) environmental and social benefits of dynamic pricing," Journal of Economic Behavior & Organization, Elsevier, vol. 205(C), pages 574-593.
    4. Löschel, Andreas & Price, Michael Keith & Razzolini, Laura & Werthschulte, Madeline, 2022. "COVID-19 and the formation of energy conservation routines: Disentangling the relative importance of attention and income shocks," ZEW Discussion Papers 22-068, ZEW - Leibniz Centre for European Economic Research.
    5. Daniel J. Mallinson & Saahir Shafi, 2022. "Smart home technology: Challenges and opportunities for collaborative governance and policy research," Review of Policy Research, Policy Studies Organization, vol. 39(3), pages 330-352, May.
    6. Manuel Frondel and Gerhard Kussel, 2019. "Switching on Electricity Demand Response: Evidence for German Households," The Energy Journal, International Association for Energy Economics, vol. 0(Number 5).
    7. Federico A. Bugni & Joel L. Horowitz, 2018. "Permutation tests for equality of distributions of functional data," CeMMAP working papers CWP18/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    8. Lomas, K.J. & Oliveira, S. & Warren, P. & Haines, V.J. & Chatterton, T. & Beizaee, A. & Prestwood, E. & Gething, B., 2018. "Do domestic heating controls save energy? A review of the evidence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 52-75.
    9. 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.
    10. Jesse Burkhardt & Kenneth Gillingham & Praveen K. Kopalle, 2019. "Experimental Evidence on the Effect of Information and Pricing on Residential Electricity Consumption," NBER Working Papers 25576, National Bureau of Economic Research, Inc.
    11. O'Neill, E. & Weeks, M., 2018. "Causal Tree Estimation of Heterogeneous Household Response to Time-Of-Use Electricity Pricing Schemes," Cambridge Working Papers in Economics 1865, Faculty of Economics, University of Cambridge.
    12. Heather Hodges & Colin Kuehl & Sarah E. Anderson & Phillip J. Ehret & Cameron Brick, 2020. "How Managers Can Reduce Household Water Use Through Communication: A Field Experiment," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(4), pages 1076-1099, September.
    13. Blonz, Joshua & Palmer, Karen & Wichman, Casey & Wietelman, Derek C., 2021. "Smart Thermostats, Automation, and Time-Varying Prices," RFF Working Paper Series 21-20, Resources for the Future.
    14. Schäuble, Dominik & Marian, Adela & Cremonese, Lorenzo, 2020. "Conditions for a cost-effective application of smart thermostat systems in residential buildings," Applied Energy, Elsevier, vol. 262(C).
    15. Eoghan O'Neill & Melvyn Weeks, 2018. "Causal Tree Estimation of Heterogeneous Household Response to Time-Of-Use Electricity Pricing Schemes," Papers 1810.09179, arXiv.org, revised Oct 2019.

  10. Carlos Lamarche, 2015. "Collective bargaining in developing countries," IZA World of Labor, Institute of Labor Economics (IZA), pages 183-183, September.

    Cited by:

    1. Kuralbayeva, Karlygash, 2018. "Unemployment, rural-urban migration and environmental regulation," LSE Research Online Documents on Economics 76561, London School of Economics and Political Science, LSE Library.
    2. Romain Duval & Prakash Loungani, 2021. "Designing Labor Market Institutions in Emerging Market and Developing Economies: A Review of Evidence and IMF Policy Advice," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 63(1), pages 31-83, March.

  11. Sherrilyn Billger & Carlos Lamarche, 2015. "A panel data quantile regression analysis of the immigrant earnings distribution in the United Kingdom and United States," Empirical Economics, Springer, vol. 49(2), pages 705-750, September.

    Cited by:

    1. Sholeh A. Maani & Le Wen, 2021. "Over-education and immigrant earnings: a penalized quantile panel regression analysis," Applied Economics, Taylor & Francis Journals, vol. 53(24), pages 2771-2790, May.
    2. 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.
    3. 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).

  12. Harding, Matthew & Lamarche, Carlos, 2014. "A Hausman–Taylor instrumental variable approach to the penalized estimation of quantile panel models," Economics Letters, Elsevier, vol. 124(2), pages 176-179.

    Cited by:

    1. Li Tao & Yuanjie Zhang & Maozai Tian, 2019. "Quantile Regression for Dynamic Panel Data Using Hausman–Taylor Instrumental Variables," Computational Economics, Springer;Society for Computational Economics, vol. 53(3), pages 1033-1069, March.
    2. Li Tao & Lingnan Tai & Manling Qian & Maozai Tian, 2023. "A New Instrumental-Type Estimator for Quantile Regression Models," Mathematics, MDPI, vol. 11(15), pages 1-26, August.
    3. Steven D. Silver, 2016. "A QUAIDS Model of Need-Based Structure in U.S. Personal Consumption 2006–2012," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 44(3), pages 303-323, September.

  13. Harding, Matthew & Lamarche, Carlos, 2014. "Estimating and testing a quantile regression model with interactive effects," Journal of Econometrics, Elsevier, vol. 178(P1), pages 101-113.
    See citations under working paper version above.
  14. Carlos Lamarche, 2013. "Industry-wide work rules and productivity: evidence from Argentine union contract data," IZA Journal of Labor & Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 2(1), pages 1-25, December.
    See citations under working paper version above.
  15. Antonio F. Galvao & Carlos Lamarche & Luiz Renato Lima, 2013. "Estimation of Censored Quantile Regression for Panel Data With Fixed Effects," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 108(503), pages 1075-1089, September.

    Cited by:

    1. 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.
    2. 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.
    3. Xiaorong Yang & Jia Chen & Degui Li & Runze Li, 2023. "Functional-Coefficient Quantile Regression for Panel Data with Latent Group Structure," Papers 2303.13218, arXiv.org.
    4. 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.
    5. Brantly Callaway & Tong Li, 2019. "Quantile treatment effects in difference in differences models with panel data," Quantitative Economics, Econometric Society, vol. 10(4), pages 1579-1618, November.
    6. Liang Chen & Yulong Huo, 2019. "A Simple Estimator for Quantile Panel Data Models Using Smoothed Quantile Regressions," Papers 1911.04729, arXiv.org.
    7. Choi, Jin-young & Lee, Myoung-jae, 2019. "Twins are more different than commonly believed, but made less different by compensating behaviors," Economics & Human Biology, Elsevier, vol. 35(C), pages 18-31.
    8. 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.
    9. Georges Bresson & Guy Lacroix & Mohammad Arshad Rahman, 2021. "Bayesian panel quantile regression for binary outcomes with correlated random effects: an application on crime recidivism in Canada," Empirical Economics, Springer, vol. 60(1), pages 227-259, January.
    10. Junlong Feng, 2019. "Regularized Quantile Regression with Interactive Fixed Effects," Papers 1911.00166, arXiv.org, revised Mar 2021.
    11. Galvao, Antonio F. & Kato, Kengo, 2016. "Smoothed quantile regression for panel data," Journal of Econometrics, Elsevier, vol. 193(1), pages 92-112.
    12. Ayala, Diana & Nedeljkovic, Milan & Saborowski, Christian, 2016. "What slice of the pie? The corporate bond market boom in emerging economies," BOFIT Discussion Papers 8/2016, Bank of Finland Institute for Emerging Economies (BOFIT).
    13. Harrison Fell & Daniel T. Kaffine, 2014. "A one-two punch: Joint effects of natural gas abundance and renewables on coal-fired power plants," Working Papers 2014-10, Colorado School of Mines, Division of Economics and Business.
    14. 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.
    15. De Silva, Dakshina G. & Kosmopoulou, Georgia & Lamarche, Carlos, 2017. "Subcontracting and the survival of plants in the road construction industry: A panel quantile regression analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 137(C), pages 113-131.
    16. 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.
    17. 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.
    18. 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.
    19. Diana Ayala & Milan Nedeljkovic & Christian Saborowski, 2017. "What Slice of the Pie? The Corporate Bond Market Boom in Emerging Economies," CESifo Working Paper Series 6376, CESifo.
    20. Zongwu Cai & Meng Shi & Yue Zhao & Wuqing Wu, 2020. "Testing Financial Hierarchy Based on A PDQ-CRE Model," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202011, University of Kansas, Department of Economics, revised Jul 2020.
    21. 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.
    22. 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.
    23. 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.
    24. Li Tao & Lingnan Tai & Manling Qian & Maozai Tian, 2023. "A New Instrumental-Type Estimator for Quantile Regression Models," Mathematics, MDPI, vol. 11(15), pages 1-26, August.
    25. Antonio F. Galvao & Thomas Parker & Zhijie Xiao, 2021. "Bootstrap inference for panel data quantile regression," Papers 2111.03626, arXiv.org.
    26. Harrison Fell & Daniel T. Kaffine, 2018. "The Fall of Coal: Joint Impacts of Fuel Prices and Renewables on Generation and Emissions," American Economic Journal: Economic Policy, American Economic Association, vol. 10(2), pages 90-116, May.
    27. Alexander Silbersdorff & Julia Lynch & Stephan Klasen & Thomas Kneib, 2017. "Reconsidering the Income-Illness Relationship Using Distributional Regression: An Application to Germany," SOEPpapers on Multidisciplinary Panel Data Research 931, DIW Berlin, The German Socio-Economic Panel (SOEP).
    28. 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.
    29. Jennifer Betz & Maximilian Nagl & Daniel Rösch, 2022. "Credit line exposure at default modelling using Bayesian mixed effect quantile regression," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(4), pages 2035-2072, October.
    30. Christis Katsouris, 2023. "Optimal Estimation Methodologies for Panel Data Regression Models," Papers 2311.03471, arXiv.org, revised Nov 2023.
    31. Ali Aghamohammadi, 2018. "Bayesian analysis of dynamic panel data by penalized quantile regression," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 27(1), pages 91-108, March.
    32. Yuzhu Tian & Manlai Tang & Maozai Tian, 2018. "Joint modeling for mixed-effects quantile regression of longitudinal data with detection limits and covariates measured with error, with application to AIDS studies," Computational Statistics, Springer, vol. 33(4), pages 1563-1587, December.
    33. 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.

  16. De Silva, Dakshina G. & Kosmopoulou, Georgia & Lamarche, Carlos, 2012. "Survival of contractors with previous subcontracting experience," Economics Letters, Elsevier, vol. 117(1), pages 7-9.

    Cited by:

    1. B. Cesi & M. Lorusso, 2020. "Collusion in public procurement: the role of subcontracting," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 37(1), pages 251-265, April.
    2. Rodrigo Carril & Audrey Guo, 2023. "The impact of preference programs in public procurement: Evidence from veteran set-asides," Economics Working Papers 1876, Department of Economics and Business, Universitat Pompeu Fabra.
    3. Iossa, Elisabetta & Waterson, Michael, 2019. "Maintaining competition in recurrent procurement contracts: A case study on the London bus market," Transport Policy, Elsevier, vol. 75(C), pages 141-149.
    4. Xun Liu & Dexin Liu & Mengyu Xu, 2023. "An Extended Theory of Planned Behavior to Explain General Contractors’ Long-Term Cooperation Intentions in Construction Projects: Empirical Evidence from China," Sustainability, MDPI, vol. 15(9), pages 1-17, April.

  17. De Silva, Dakshina G. & Dunne, Timothy & Kosmopoulou, Georgia & Lamarche, Carlos, 2012. "Disadvantaged business enterprise goals in government procurement contracting: An analysis of bidding behavior and costs," International Journal of Industrial Organization, Elsevier, vol. 30(4), pages 377-388.
    See citations under working paper version above.
  18. Marcus Alexander & Matthew Harding & Carlos Lamarche, 2011. "Quantifying the impact of economic crises on infant mortality in advanced economies," Applied Economics, Taylor & Francis Journals, vol. 43(24), pages 3313-3323.

    Cited by:

    1. Giacomo De Giorgi & Matthew Harding & Gabriel Vasconcelos, 2021. "Predicting Mortality from Credit Reports," Papers 2111.03662, arXiv.org.

  19. Lamarche, Carlos, 2011. "Measuring the incentives to learn in Colombia using new quantile regression approaches," Journal of Development Economics, Elsevier, vol. 96(2), pages 278-288, November.

    Cited by:

    1. Damette, Olivier & Delacote, Philippe, 2012. "On the economic factors of deforestation: What can we learn from quantile analysis?," Economic Modelling, Elsevier, vol. 29(6), pages 2427-2434.
    2. Łukasz Jarosław Kozar & Robert Matusiak & Marta Paduszyńska & Adam Sulich, 2022. "Green Jobs in the EU Renewable Energy Sector: Quantile Regression Approach," Energies, MDPI, vol. 15(18), pages 1-21, September.
    3. Balestra, Simone & Backes-Gellner, Uschi, 2017. "Heterogeneous returns to education over the wage distribution: Who profits the most?," Labour Economics, Elsevier, vol. 44(C), pages 89-105.
    4. Abid, Nabila & Ahmad, Fayyaz & Aftab, Junaid & Razzaq, Asif, 2023. "A blessing or a burden? Assessing the impact of Climate Change Mitigation efforts in Europe using Quantile Regression Models," Energy Policy, Elsevier, vol. 178(C).
    5. Martin Foureaux Koppensteiner, 2011. "Automatic Grade Promotion and Student Performance: Evidence from Brazil," Discussion Papers in Economics 11/52, Division of Economics, School of Business, University of Leicester, revised Sep 2013.
    6. Zhu, Huiming & Duan, Lijun & Guo, Yawei & Yu, Keming, 2016. "The effects of FDI, economic growth and energy consumption on carbon emissions in ASEAN-5: Evidence from panel quantile regression," Economic Modelling, Elsevier, vol. 58(C), pages 237-248.
    7. Victor Chernozhukov & Christian Hansen, 2013. "Quantile models with endogeneity," CeMMAP working papers CWP25/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    8. Tang, Yiding & Zhu, Shujin & Luo, Yan & Duan, Wenjing, 2022. "Input servitization, global value chain, and carbon mitigation: An input-output perspective of global manufacturing industry," Economic Modelling, Elsevier, vol. 117(C).
    9. 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.
    10. Chao-Qun Ma & Jiang-Long Liu & Yi-Shuai Ren & Yong Jiang, 2019. "The Impact of Economic Growth, FDI and Energy Intensity on China’s Manufacturing Industry’s CO 2 Emissions: An Empirical Study Based on the Fixed-Effect Panel Quantile Regression Model," Energies, MDPI, vol. 12(24), pages 1-16, December.
    11. Yunlong Liu & Xianlin Chang & Chengfeng Huang, 2022. "Research and Analysis on the Influencing Factors of China’s Carbon Emissions Based on a Panel Quantile Model," Sustainability, MDPI, vol. 14(13), pages 1-12, June.
    12. Dogan, Eyup & Altinoz, Buket & Tzeremes, Panayiotis, 2020. "The analysis of ‘Financial Resource Curse’ hypothesis for developed countries: Evidence from asymmetric effects with quantile regression," Resources Policy, Elsevier, vol. 68(C).
    13. Sekrafi Habib & Snoussi Abdelmonen & Mili Khaled, 2020. "The Effect of Corruption on the Environmental Quality in African Countries: a Panel Quantile Regression Analysis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 11(2), pages 788-804, June.
    14. Vinish Shrestha, 2015. "Estimating the Price Elasticity of Demand for Different Levels of Alcohol Consumption among Young Adults," American Journal of Health Economics, MIT Press, vol. 1(2), pages 224-254, Spring.
    15. You, Wanhai & Guo, Yawei & Zhu, Huiming & Tang, Yong, 2017. "Oil price shocks, economic policy uncertainty and industry stock returns in China: Asymmetric effects with quantile regression," Energy Economics, Elsevier, vol. 68(C), pages 1-18.
    16. Zhang, Yue-Jun & Jin, Yan-Lin & Chevallier, Julien & Shen, Bo, 2016. "The effect of corruption on carbon dioxide emissions in APEC countries: A panel quantile regression analysis," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 220-227.
    17. Qi, Shaozhou & Peng, Huarong & Zhang, Xiaoling & Tan, Xiujie, 2019. "Is energy efficiency of Belt and Road Initiative countries catching up or falling behind? Evidence from a panel quantile regression approach," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    18. Sherrilyn Billger & Carlos Lamarche, 2015. "A panel data quantile regression analysis of the immigrant earnings distribution in the United Kingdom and United States," Empirical Economics, Springer, vol. 49(2), pages 705-750, September.
    19. Peng, Hua-Rong & Zhang, Yue-Jun & Liu, Jing-Yue, 2023. "The energy rebound effect of digital development: Evidence from 285 cities in China," Energy, Elsevier, vol. 270(C).
    20. William Miles & Samuel Schreyer, 2014. "Is monetary policy non-linear in Latin America? a quantile regression approach to Brazil, Chile, Mexico and Peru," Journal of Developing Areas, Tennessee State University, College of Business, vol. 48(2), pages 169-183, April-Jun.
    21. 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.
    22. 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).
    23. 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.
    24. Matthew Harding & Carlos Lamarche & Chris Muris, 2022. "Estimation of a Factor-Augmented Linear Model with Applications Using Student Achievement Data," Papers 2203.03051, arXiv.org.

  20. Harding, Matthew & Lamarche, Carlos, 2011. "Least squares estimation of a panel data model with multifactor error structure and endogenous covariates," Economics Letters, Elsevier, vol. 111(3), pages 197-199, June.

    Cited by:

    1. Jonathan R. W. Temple & Nicolas Van de Sijpe, 2014. "Foreign Aid and Domestic Absorption," CSAE Working Paper Series 2014-01, Centre for the Study of African Economies, University of Oxford.
    2. Badi Baltagi & Qu Feng & Chihwa Kao, 2019. "Structural Changes in Heterogeneous Panels with Endogenous Regressors," Center for Policy Research Working Papers 214, Center for Policy Research, Maxwell School, Syracuse University.
    3. Sarafidis, Vasilis & Wansbeek, Tom, 2010. "Cross-sectional Dependence in Panel Data Analysis," MPRA Paper 20367, University Library of Munich, Germany.
    4. Kapetanios, G. & Price, S. & Tasiou, M. & Ventouri, A., 2020. "State-level wage Phillips curves," Working Papers 20/08, Department of Economics, City University London.
    5. Norkutė, Milda & Sarafidis, Vasilis & Yamagata, Takashi & Cui, Guowei, 2021. "Instrumental variable estimation of dynamic linear panel data models with defactored regressors and a multifactor error structure," Journal of Econometrics, Elsevier, vol. 220(2), pages 416-446.
    6. Freeman, Hugo & Weidner, Martin, 2023. "Linear panel regressions with two-way unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 237(1).
    7. Bing Jiang & Yanrong Yang & Jiti Gao & Cheng Hsiao, 2017. "Recursive estimation in large panel data models: Theory and practice," Monash Econometrics and Business Statistics Working Papers 5/17, Monash University, Department of Econometrics and Business Statistics.
    8. Hacioglu Hoke, Sinem & Kapetanios, George, 2017. "Common correlated effect cross-sectional dependence corrections for non-linear conditional mean panel models," Bank of England working papers 683, Bank of England.
    9. G. Forchini & Bin Jiang & Bin Peng, 2015. "Consistent Estimation in Large Heterogeneous Panels with Multifactor Structure Endogeneity," Monash Econometrics and Business Statistics Working Papers 14/15, Monash University, Department of Econometrics and Business Statistics.
    10. Hyungsik Roger Moon & Martin Weidner, 2013. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers CWP63/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    11. Weili Ding & Steven F. Lehrer, 2014. "Understanding the Role of Time-Varying Unobserved Ability Heterogeneity in Education Production," NBER Working Papers 19937, National Bureau of Economic Research, Inc.
    12. A. Mahabbati & A. Izady & M. Mousavi Baygi & K. Davary & S. M. Hasheminia, 2017. "Daily soil temperature modeling using ‘panel-data’ concept," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(8), pages 1385-1401, June.
    13. Hugo Freeman & Martin Weidner, 2021. "Linear Panel Regressions with Two-Way Unobserved Heterogeneity," Papers 2109.11911, arXiv.org, revised Aug 2022.
    14. Giovanni Forchini & Bin Jiang & Bin Peng, 2018. "TSLS and LIML Estimators in Panels with Unobserved Shocks," Econometrics, MDPI, vol. 6(2), pages 1-12, April.
    15. Matthew Harding & David Rapson, 2019. "Does Absolution Promote Sin? A Conservationist’s Dilemma," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(3), pages 923-955, July.
    16. Rodríguez-Caballero, Carlos Vladimir, 2022. "Energy consumption and GDP: a panel data analysis with multi-level cross-sectional dependence," Econometrics and Statistics, Elsevier, vol. 23(C), pages 128-146.
    17. Hugo Freeman & Martin Weidner, 2021. "Linear panel regressions with two-way unobserved heterogeneity," CeMMAP working papers CWP39/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    18. Timothy Neal, 2018. "Multidimensional Parameter Heterogeneity in Panel Data Models," Discussion Papers 2016-15A, School of Economics, The University of New South Wales.
    19. Gerdie Everaert & Tom De Groote, 2016. "Common Correlated Effects Estimation of Dynamic Panels with Cross-Sectional Dependence," Econometric Reviews, Taylor & Francis Journals, vol. 35(3), pages 428-463, March.
    20. De Vos, Ignace & Everaert, Gerdie & Sarafidis, Vasilis, 2021. "A method for evaluating the rank condition for CCE estimators," MPRA Paper 112305, University Library of Munich, Germany, revised 09 Mar 2022.
    21. Carlos Vladimir Rodríguez-Caballero, 2016. "Panel Data with Cross-Sectional Dependence Characterized by a Multi-Level Factor Structure," CREATES Research Papers 2016-31, Department of Economics and Business Economics, Aarhus University.
    22. Sinem Hacıoğlu Hoke & George Kapetanios, 2021. "Common correlated effect cross‐sectional dependence corrections for nonlinear conditional mean panel models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(1), pages 125-150, January.
    23. Forchini Giovanni & Jiang Bin & Peng Bin, 2020. "Instrumental Variables Estimation in Large Heterogeneous Panels with Multifactor Structure," Journal of Econometric Methods, De Gruyter, vol. 9(1), pages 1-22, January.
    24. Ngoc Thien Anh Pham & Nicholas Sim, 2020. "Shipping cost and development of the landlocked developing countries: Panel evidence from the common correlated effects approach," The World Economy, Wiley Blackwell, vol. 43(4), pages 892-920, April.
    25. Giovanni Forchini & Bin Jiang & Bin Peng, 2015. "Consistent Estimation in Large Heterogeneous Panels with Multifactor Structure and Endogeneity," School of Economics Discussion Papers 0315, School of Economics, University of Surrey.
    26. Boneva, Lena & CLoyne, James & Weale, Martin & Wieladek, Tomasz, 2016. "Firms’ expectations and price-setting: evidence from micro data," Discussion Papers 48, Monetary Policy Committee Unit, Bank of England.
    27. Hyungsik Roger Roger Moon & Martin Weidner, 2013. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers 63/13, Institute for Fiscal Studies.
    28. Lee, Nayoung & Moon, Hyungsik Roger & Weidner, Martin, 2012. "Analysis of interactive fixed effects dynamic linear panel regression with measurement error," Economics Letters, Elsevier, vol. 117(1), pages 239-242.
    29. Hyungsik Roger Roger Moon & Martin Weidner, 2014. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers 47/14, Institute for Fiscal Studies.
    30. Ignace De Vos & Gerdie Everaert, 2016. "Bias-Corrected Common Correlated Effects Pooled Estimation In Homogeneous Dynamic Panels," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 16/920, Ghent University, Faculty of Economics and Business Administration.
    31. Matthew Harding & Carlos Lamarche & Chris Muris, 2022. "Estimation of a Factor-Augmented Linear Model with Applications Using Student Achievement Data," Papers 2203.03051, arXiv.org.
    32. Mirkina, Irina, 2018. "FDI and sanctions: An empirical analysis of short- and long-run effects," European Journal of Political Economy, Elsevier, vol. 54(C), pages 198-225.

  21. Lamarche, Carlos, 2010. "Robust penalized quantile regression estimation for panel data," Journal of Econometrics, Elsevier, vol. 157(2), pages 396-408, August.

    Cited by:

    1. Eric Bartelsman & Sabien Dobbelaere & Bettina Peters, 2013. "Allocation of Human Capital and Innovation at the Frontier: Firm-level Evidence on Germany and the Netherlands," Tinbergen Institute Discussion Papers 13-095/VII, Tinbergen Institute.
    2. 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.
    3. Hongyao Wei & Zhengyi Yang, 2022. "The Impact of Inheritance on the Distribution of Wealth: Evidence from China," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 68(1), pages 234-262, March.
    4. Roger Koenker, 2017. "Quantile regression 40 years on," CeMMAP working papers CWP36/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Fang, Zheng & Niimi, Yoko, 2015. "Do Losses Bite More than Gains? Evidence from a Panel Quantile Regression Analysis of Subjective Well-being in Japan," AGI Working Paper Series 2015-18, Asian Growth Research Institute.
    6. 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.
    7. 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.
    8. Chen, Wenhui & Lei, Yalin, 2018. "The impacts of renewable energy and technological innovation on environment-energy-growth nexus: New evidence from a panel quantile regression," Renewable Energy, Elsevier, vol. 123(C), pages 1-14.
    9. Nguyen Van Bon, 2021. "Does FDI inflow crowd in private investment? Empirical evidence for the Southeast region of Vietnam from the panel quantile regression approach," HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE - ECONOMICS AND BUSINESS ADMINISTRATION, HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE, HO CHI MINH CITY OPEN UNIVERSITY, vol. 11(2), pages 127-136.
    10. Kato, Kengo & F. Galvao, Antonio & Montes-Rojas, Gabriel V., 2012. "Asymptotics for panel quantile regression models with individual effects," Journal of Econometrics, Elsevier, vol. 170(1), pages 76-91.
    11. Hartley, Robert Paul & Lamarche, Carlos, 2017. "Behavioral Responses and Welfare Reform: Evidence from a Randomized Experiment," IZA Discussion Papers 10905, Institute of Labor Economics (IZA).
    12. Hernández Martínez, Pedro Jesús, 2016. "Reassessing the link between firm size and exports," Economics Discussion Papers 2016-25, Kiel Institute for the World Economy (IfW Kiel).
    13. Liang Chen & Yulong Huo, 2019. "A Simple Estimator for Quantile Panel Data Models Using Smoothed Quantile Regressions," Papers 1911.04729, arXiv.org.
    14. 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.
    15. 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.
    16. Salima BOUAYAD AGHA & Nadine TURPIN & Lionel VEDRINE, 2013. "Au-Delà De La Moyenne : Les Effets Par Quantile De La Politique De Cohésion De L’Union Européenne," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 38, pages 27-48.
    17. Van Bon Nguyen, 2022. "Does governance matter for the public debt–inflation relationship in developed countries? Panel quantile regression approach," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 93(4), pages 1153-1173, December.
    18. Jaroslav Bukovina, 2015. "Sentiment of a society and large-cap stock liquidity," MENDELU Working Papers in Business and Economics 2015-56, Mendel University in Brno, Faculty of Business and Economics.
    19. Abhijit Mandal & Beste Hamiye Beyaztas & Soutir Bandyopadhyay, 2023. "Robust density power divergence estimates for panel data models," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 75(5), pages 773-798, October.
    20. Sena Kimm Gnangnon, 2023. "Effect of the Shadow Economy on Tax Reform in Developing Countries," Economies, MDPI, vol. 11(3), pages 1-49, March.
    21. Habert white & Tae-Hwan Kim & Simone Manganelli, 2012. "VAR for VaR: Measuring Tail Dependence Using Multivariate Regression Quantiles," Working papers 2012rwp-45, Yonsei University, Yonsei Economics Research Institute.
    22. Rosen, Adam M., 2012. "Set identification via quantile restrictions in short panels," Journal of Econometrics, Elsevier, vol. 166(1), pages 127-137.
    23. Jiaying Gu & Stanislav Volgushev, 2018. "Panel Data Quantile Regression with Grouped Fixed Effects," Papers 1801.05041, arXiv.org, revised Aug 2018.
    24. Smith, Travis A. & Mojduszka, Eliza M., 2019. "Did the New School Meal Standards Improve the Overall Quality of Children’s Diets," 2019 Annual Meeting, July 21-23, Atlanta, Georgia 290945, Agricultural and Applied Economics Association.
    25. 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.
    26. Fitzenberger, Bernd & Fuchs, Benjamin, 2016. "The residency discount for rents in Germany and the Tenancy Law Reform Act 2001: Evidence from quantile regressions," ZEW Discussion Papers 16-012, ZEW - Leibniz Centre for European Economic Research.
    27. Javier Alejo, 2013. "Relación de Kuznets en América Latina. Explorando más allá de la media condicional," Económica, Departamento de Economía, Facultad de Ciencias Económicas, Universidad Nacional de La Plata, vol. 59, pages 3-55, January-D.
    28. Carlos Lamarche, 2013. "Industry-wide work rules and productivity: evidence from Argentine union contract data," IZA Journal of Labor & Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 2(1), pages 1-25, December.
    29. Liang Chen, 2019. "Nonparametric Quantile Regressions for Panel Data Models with Large T," Papers 1911.01824, arXiv.org, revised Sep 2020.
    30. Prochazka, Vít & Adland, Roar & Wolff, François-Charles, 2019. "Contracting decisions in the crude oil transportation market: Evidence from fixtures matched with AIS data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 37-53.
    31. Łukasz Jarosław Kozar & Robert Matusiak & Marta Paduszyńska & Adam Sulich, 2022. "Green Jobs in the EU Renewable Energy Sector: Quantile Regression Approach," Energies, MDPI, vol. 15(18), pages 1-21, September.
    32. Amadou Barry & Karim Oualkacha & Arthur Charpentier, 2021. "Weighted asymmetric least squares regression with fixed-effects," Papers 2108.04737, arXiv.org.
    33. 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.
    34. Sula, Ozan, 2011. "Demand for international reserves in developing nations: A quantile regression approach," Journal of International Money and Finance, Elsevier, vol. 30(5), pages 764-777, September.
    35. Travis A. Smith, 2017. "Do School Food Programs Improve Child Dietary Quality?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(2), pages 339-356.
    36. Andrew E. Clark & Conchita d'Ambrosio & Rong Zhu, 2021. "Living in the Shadow of the Past: Financial Profiles and Well‐Being," PSE-Ecole d'économie de Paris (Postprint) halshs-02973081, HAL.
    37. Geraci, Marco, 2019. "Modelling and estimation of nonlinear quantile regression with clustered data," Computational Statistics & Data Analysis, Elsevier, vol. 136(C), pages 30-46.
    38. Aman Ullah & Tao Wang & Weixin Yao, 2021. "Modal regression for fixed effects panel data," Empirical Economics, Springer, vol. 60(1), pages 261-308, January.
    39. 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.
    40. Shabir, Mohsin & Jiang, Ping & Hashmi, Shujahat Haider & Bakhsh, Satar, 2022. "Non-linear nexus between economic policy uncertainty and bank lending," International Review of Economics & Finance, Elsevier, vol. 79(C), pages 657-679.
    41. Georges Bresson & Guy Lacroix & Mohammad Arshad Rahman, 2021. "Bayesian panel quantile regression for binary outcomes with correlated random effects: an application on crime recidivism in Canada," Empirical Economics, Springer, vol. 60(1), pages 227-259, January.
    42. Antonio Vezzani & Sandro Montresor, 2013. "The production function of top R&D investors: Accounting for size and sector heterogeneity with quantile estimations," JRC Working Papers on Corporate R&D and Innovation 2013-02, Joint Research Centre.
    43. Kock, Anders Bredahl, 2016. "Oracle inequalities, variable selection and uniform inference in high-dimensional correlated random effects panel data models," Journal of Econometrics, Elsevier, vol. 195(1), pages 71-85.
    44. 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.
    45. Roger Koenker, 2017. "Quantile regression 40 years on," CeMMAP working papers 36/17, Institute for Fiscal Studies.
    46. Liang Chen & Juan Jose Dolado & Jesus Gonzalo, 2019. "Quantile Factor Models," Papers 1911.02173, arXiv.org, revised Sep 2020.
    47. Sottile, Gianluca & Frumento, Paolo, 2022. "Robust estimation and regression with parametric quantile functions," Computational Statistics & Data Analysis, Elsevier, vol. 171(C).
    48. Philip Kostov & Julie Le Gallo, 2015. "Convergence: A Story of Quantiles and Spillovers," Kyklos, Wiley Blackwell, vol. 68(4), pages 552-576, November.
    49. Pedro J. Hernández, 2020. "Reassessing the link between firm size and exports," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 10(2), pages 207-223, June.
    50. Abid, Nabila & Ahmad, Fayyaz & Aftab, Junaid & Razzaq, Asif, 2023. "A blessing or a burden? Assessing the impact of Climate Change Mitigation efforts in Europe using Quantile Regression Models," Energy Policy, Elsevier, vol. 178(C).
    51. Claudiu Tiberiu Albulescu & Maria-Elena Boatca-Barabas & Andra Diaconescu, 2021. "The asymmetric effect of environmental policy stringency on CO2 emissions in OECD countries," Working Papers hal-03303096, HAL.
    52. Zheng Fang, 2017. "Panel Quantile Regressions and the Subjective Well-Being in Urban China: Evidence from RUMiC Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 132(1), pages 11-24, May.
    53. 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.
    54. Zhu, Huiming & Duan, Lijun & Guo, Yawei & Yu, Keming, 2016. "The effects of FDI, economic growth and energy consumption on carbon emissions in ASEAN-5: Evidence from panel quantile regression," Economic Modelling, Elsevier, vol. 58(C), pages 237-248.
    55. David Bounie & Youssouf Camara, 2020. "Card-Sales Response to Merchant Contactless Payment Acceptance," Post-Print hal-02296302, HAL.
    56. Zhang, Jingfang & Malikov, Emir, 2022. "Off-balance sheet activities and scope economies in U.S. banking," Journal of Banking & Finance, Elsevier, vol. 141(C).
    57. 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.
    58. 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.
    59. Philip Kostov & Julie Le Gallo, 2018. "What role for human capital in the growth process: new evidence from endogenous latent factor panel quantile regressions," Scottish Journal of Political Economy, Scottish Economic Society, vol. 65(5), pages 501-527, November.
    60. 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.
    61. 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.
    62. Li, Yi-Wen & Zhang, Wen-Wen & Zhao, Bin & Sharp, Basil & Gu, Yu & Xu, Shi-Chun & Rao, Lan-lan, 2023. "Natural resources and human development: Role of ICT in testing the resource-curse hypothesis in N11 and BRICS countries," Resources Policy, Elsevier, vol. 81(C).
    63. Khan, Syed Abdul Rehman & Ponce, Pablo & Yu, Zhang & Ponce, Katerine, 2022. "Investigating economic growth and natural resource dependence: An asymmetric approach in developed and developing economies," Resources Policy, Elsevier, vol. 77(C).
    64. Michael Haylock, 2022. "Distributional differences in the time horizon of executive compensation," Empirical Economics, Springer, vol. 62(1), pages 157-186, January.
    65. Andini, Corrado & Andini, Monica, 2015. "A Note on Unemployment Persistence and Quantile Parameter Heterogeneity," IZA Discussion Papers 8819, Institute of Labor Economics (IZA).
    66. Galvao Jr., Antonio F., 2011. "Quantile regression for dynamic panel data with fixed effects," Journal of Econometrics, Elsevier, vol. 164(1), pages 142-157, September.
    67. Li Tao & Yuanjie Zhang & Maozai Tian, 2019. "Quantile Regression for Dynamic Panel Data Using Hausman–Taylor Instrumental Variables," Computational Economics, Springer;Society for Computational Economics, vol. 53(3), pages 1033-1069, March.
    68. Zongwu Cai & Meng Shi & Yue Zhao & Wuqing Wu, 2020. "Testing Financial Hierarchy Based on A PDQ-CRE Model," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202011, University of Kansas, Department of Economics, revised Jul 2020.
    69. Park, Gayoung & Dreamson, Neal, 2023. "The heterogeneous effects of human development and good governance on mobile diffusion in the sub-Saharan region: Evidence from panel quantile regression," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    70. Mr. Tobias Adrian & Federico Grinberg & Nellie Liang & Sheheryar Malik, 2018. "The Term Structure of Growth-at-Risk," IMF Working Papers 2018/180, International Monetary Fund.
    71. Harding, Matthew & Lamarche, Carlos, 2014. "A Hausman–Taylor instrumental variable approach to the penalized estimation of quantile panel models," Economics Letters, Elsevier, vol. 124(2), pages 176-179.
    72. Korpi, Martin & Clark, William A.V., 2015. "Internal migration and human capital theory: To what extent is it selective?," Economics Letters, Elsevier, vol. 136(C), pages 31-34.
    73. Jasman Tuyon & Zamri Ahmad, 2021. "Dynamic risk attributes in Malaysia stock markets: Behavioural finance insights," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5793-5814, October.
    74. 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.
    75. Li Tao & Lingnan Tai & Manling Qian & Maozai Tian, 2023. "A New Instrumental-Type Estimator for Quantile Regression Models," Mathematics, MDPI, vol. 11(15), pages 1-26, August.
    76. Claudiu Tiberiu Albulescu & Matei Tămășilă & Ilie Mihai Tăucean, 2021. "The Nonlinear Relationship Between Firm Size and Growth in the Automotive Industry," Journal of Industry, Competition and Trade, Springer, vol. 21(3), pages 445-463, September.
    77. 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.
    78. Xie, Peijun & Jamaani, Fouad, 2022. "Does green innovation, energy productivity and environmental taxes limit carbon emissions in developed economies: Implications for sustainable development," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 66-78.
    79. Chao-Qun Ma & Jiang-Long Liu & Yi-Shuai Ren & Yong Jiang, 2019. "The Impact of Economic Growth, FDI and Energy Intensity on China’s Manufacturing Industry’s CO 2 Emissions: An Empirical Study Based on the Fixed-Effect Panel Quantile Regression Model," Energies, MDPI, vol. 12(24), pages 1-16, December.
    80. Lijuan Huo & Tae-Hwan Kim & Yunmi Kim, 2013. "Testing for Autocorrelation in Quantile Regression Models," Working papers 2013rwp-54, Yonsei University, Yonsei Economics Research Institute.
    81. Francisco Covas & Ben Rump & Egon Zakrajšek, 2013. "Stress-testing U.S. bank holding companies: a dynamic panel quantile regression approach," Finance and Economics Discussion Series 2013-55, Board of Governors of the Federal Reserve System (U.S.).
    82. Genya Kobayashi & Hideo Kozumi, 2012. "Bayesian analysis of quantile regression for censored dynamic panel data," Computational Statistics, Springer, vol. 27(2), pages 359-380, June.
    83. Dogan, Eyup & Altinoz, Buket & Tzeremes, Panayiotis, 2020. "The analysis of ‘Financial Resource Curse’ hypothesis for developed countries: Evidence from asymmetric effects with quantile regression," Resources Policy, Elsevier, vol. 68(C).
    84. Babii, Andrii & Ball, Ryan T. & Ghysels, Eric & Striaukas, Jonas, 2023. "Machine learning panel data regressions with heavy-tailed dependent data: Theory and application," Journal of Econometrics, Elsevier, vol. 237(2).
    85. Ligia Alba Melo-Becerra & Héctor Zárate-Solano & Andrés Camilo Gómez-Molina, 2018. "Elasticidad del ingreso corporativo gravable en Colombia," Borradores de Economia 1046, Banco de la Republica de Colombia.
    86. Y. Andriyana & I. Gijbels & A. Verhasselt, 2014. "P-splines quantile regression estimation in varying coefficient models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 23(1), pages 153-194, March.
    87. 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.
    88. Georgia Kosmopoulou & Xueqi Zhou, 2014. "Price Adjustment Policies in Procurement Contracting: An Analysis of Bidding Behavior," Journal of Industrial Economics, Wiley Blackwell, vol. 62(1), pages 77-112, March.
    89. David Powell, 2020. "Does Labor Supply Respond to Transitory Income? Evidence from the Economic Stimulus Payments of 2008," Journal of Labor Economics, University of Chicago Press, vol. 38(1), pages 1-38.
    90. Husnain, Muhammad Iftikhar ul & Nasrullah, Nasrullah & Khan, Muhammad Aamir & Banerjee, Suvajit, 2021. "Scrutiny of income related drivers of energy poverty: A global perspective," Energy Policy, Elsevier, vol. 157(C).
    91. Y. Andriyana & I. Gijbels & A. Verhasselt, 2018. "Quantile regression in varying-coefficient models: non-crossing quantile curves and heteroscedasticity," Statistical Papers, Springer, vol. 59(4), pages 1589-1621, December.
    92. David Powell, 2022. "Quantile regression with nonadditive fixed effects," Empirical Economics, Springer, vol. 63(5), pages 2675-2691, November.
    93. Dogan, Eyup & Altinoz, Buket & Madaleno, Mara & Taskin, Dilvin, 2020. "The impact of renewable energy consumption to economic growth: A replication and extension of Inglesi-Lotz (2016)," Energy Economics, Elsevier, vol. 90(C).
    94. Guilherme Resende Oliveira & Benjamin Miranda Tabak & José Guilherme de Lara Resende & Daniel Oliveira Cajueiro, 2012. "Determinantes da Estrutura de Capital das Empresas Brasileiras: uma abordagem em regressão quantílica," Working Papers Series 272, Central Bank of Brazil, Research Department.
    95. Ben-Salha Ousama & Zmami Mourad, 2020. "The impact of private capital flows on economic growth in the MENA region," Economics and Business Review, Sciendo, vol. 6(3), pages 45-67, August.
    96. Wu, Chen & Rogers, Cynthia L., 2017. "One Size Does Not Fit All: Foreign Direct Investment Promotion Policies across US States," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 48(1), April.
    97. Albulescu, Claudiu Tiberiu & Tiwari, Aviral Kumar & Yoon, Seong-Min & Kang, Sang Hoon, 2019. "FDI, income, and environmental pollution in Latin America: Replication and extension using panel quantiles regression analysis," Energy Economics, Elsevier, vol. 84(C).
    98. Raffaele Miniaci & Paolo Panteghini, 2021. "On the Capital Structure of Foreign Subsidiaries: Evidence from a Panel Data Quantile Regression Model," CESifo Working Paper Series 9085, CESifo.
    99. João Martins & Linda Veiga & Bruno Fernandes, 2023. "Are electronic government innovations helpful to deter corruption? Evidence from across the world," Economics and Politics, Wiley Blackwell, vol. 35(3), pages 1177-1203, November.
    100. Lamarche, Carlos, 2011. "Measuring the incentives to learn in Colombia using new quantile regression approaches," Journal of Development Economics, Elsevier, vol. 96(2), pages 278-288, November.
    101. Claudiu Tiberiu Albulescu & Eugenia Grecu, 2023. "Government Interventions and Sovereign Bond Market Volatility during COVID-19: A Quantile Analysis," Mathematics, MDPI, vol. 11(5), pages 1-14, February.
    102. Vinish Shrestha, 2015. "Estimating the Price Elasticity of Demand for Different Levels of Alcohol Consumption among Young Adults," American Journal of Health Economics, MIT Press, vol. 1(2), pages 224-254, Spring.
    103. David Powell & Joachim Wagner, 2021. "The Exporter Productivity Premium Along the Productivity Distribution: Evidence from Quantile Regression with Nonadditive Firm Fixed Effects," World Scientific Book Chapters, in: Joachim Wagner (ed.), MICROECONOMETRIC STUDIES OF FIRMS’ IMPORTS AND EXPORTS Advanced Methods of Analysis and Evidence from German Enterprises, chapter 9, pages 121-149, World Scientific Publishing Co. Pte. Ltd..
    104. Yung-Hsiang Ying & Chin-Chih Wu & Koyin Chang, 2013. "The Effectiveness of Drinking and Driving Policies for Different Alcohol-Related Fatalities: A Quantile Regression Analysis," IJERPH, MDPI, vol. 10(10), pages 1-17, September.
    105. You, Wanhai & Guo, Yawei & Zhu, Huiming & Tang, Yong, 2017. "Oil price shocks, economic policy uncertainty and industry stock returns in China: Asymmetric effects with quantile regression," Energy Economics, Elsevier, vol. 68(C), pages 1-18.
    106. Machado, José A.F. & Santos Silva, J.M.C., 2019. "Quantiles via moments," Journal of Econometrics, Elsevier, vol. 213(1), pages 145-173.
    107. Xiaojian Su & Chao Deng, 2019. "The heterogeneous effects of exchange rate and stock market on CO2 emission allowance price in China: A panel quantile regression approach," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-11, August.
    108. Zhang, Yingying & Wang, Huixia Judy & Zhu, Zhongyi, 2019. "Quantile-regression-based clustering for panel data," Journal of Econometrics, Elsevier, vol. 213(1), pages 54-67.
    109. 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).
    110. Paniagua, Jordi & Figueiredo, Erik & Sapena, Juan, 2015. "Quantile regression for the FDI gravity equation," Journal of Business Research, Elsevier, vol. 68(7), pages 1512-1518.
    111. Onwe, Joshua Chukwuma & Bandyopadhyay, Arunava & Hamid, Ishfaq & Rej, Soumen & Hossain, Md Emran, 2023. "Environment sustainability through energy transition and globalization in G7 countries: What role does environmental tax play?," Renewable Energy, Elsevier, vol. 218(C).
    112. Sylvie Charlot & Riccardo Crescenzi & Antonio Musolesi, 2014. "Augmented and Unconstrained: revisiting the Regional Knowledge Production Function," SEEDS Working Papers 2414, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Aug 2014.
    113. Harding, Matthew & Lamarche, Carlos, 2012. "Estimating and Testing a Quantile Regression Model with Interactive Effects," IZA Discussion Papers 6802, Institute of Labor Economics (IZA).
    114. Singh, Bhanu Pratap & Kannadhasan, M., 2020. "Corruption and capital structure in emerging markets: A panel quantile regression approach," Journal of Behavioral and Experimental Finance, Elsevier, vol. 28(C).
    115. Bounie, David & Camara, Youssouf, 2020. "Card-sales response to merchant contactless payment acceptance," Journal of Banking & Finance, Elsevier, vol. 119(C).
    116. Sherrilyn Billger & Carlos Lamarche, 2015. "A panel data quantile regression analysis of the immigrant earnings distribution in the United Kingdom and United States," Empirical Economics, Springer, vol. 49(2), pages 705-750, September.
    117. 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.
    118. 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.
    119. Cai, Zongwu & Chen, Linna & Fang, Ying, 2018. "A semiparametric quantile panel data model with an application to estimating the growth effect of FDI," Journal of Econometrics, Elsevier, vol. 206(2), pages 531-553.
    120. 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.
    121. 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.
    122. Mudeer A. Khattak & Buerhan Saiti & Shabeer Khan, 2023. "Does market power explain margins in dual banking? Evidence from panel quantile regression," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1826-1844, April.
    123. Chen, Cathy Yi-Hsuan & Härdle, Wolfgang Karl & Okhrin, Yarema, 2019. "Tail event driven networks of SIFIs," Journal of Econometrics, Elsevier, vol. 208(1), pages 282-298.
    124. 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).
    125. 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.
    126. 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.
    127. Ali Aghamohammadi, 2018. "Bayesian analysis of dynamic panel data by penalized quantile regression," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 27(1), pages 91-108, March.
    128. Amadou Barry & Karim Oualkacha & Arthur Charpentier, 2023. "Alternative fixed-effects panel model using weighted asymmetric least squares regression," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(3), pages 819-841, September.
    129. Haylock, Michael, 2020. "Executives' short-term and long-term incentives - a distributional analysis," University of Tübingen Working Papers in Business and Economics 131, University of Tuebingen, Faculty of Economics and Social Sciences, School of Business and Economics.
    130. Xingcai Zhou & Jiangyan Wang, 2021. "Panel semiparametric quantile regression neural network for electricity consumption forecasting," Papers 2103.00711, arXiv.org.
    131. Gu, Jiaying & Volgushev, Stanislav, 2019. "Panel data quantile regression with grouped fixed effects," Journal of Econometrics, Elsevier, vol. 213(1), pages 68-91.
    132. 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.
    133. David Powell, 2014. "Did the Economic Stimulus Payments of 2008 Reduce Labor Supply? Evidence from Quantile Panel Data Estimation," Working Papers WR-710-3, RAND Corporation.
    134. Atilla Ahmet UĞUR & Demet ÖZOCAKLI, 2018. "Gıda Güvencesizliğinin Bazı Belirleyicileri (Kantil Regresyon Yöntemi ve Sabit Etki Panel Yönteminin Karşılaştırılması)," Sosyoekonomi Journal, Sosyoekonomi Society, issue 26(35).
    135. Jorge Eduardo Camusso & Ana Inés Navarro, 2021. "Asymmetries in aggregate income risk over the business cycle: evidence from administrative data of Argentina," Asociación Argentina de Economía Política: Working Papers 4447, Asociación Argentina de Economía Política.

  22. Harding, Matthew & Lamarche, Carlos, 2009. "A quantile regression approach for estimating panel data models using instrumental variables," Economics Letters, Elsevier, vol. 104(3), pages 133-135, September.

    Cited by:

    1. Galina Besstremyannaya, 2014. "The adverse effects of value-based purchasing in health care: dynamic quantile regression with endogeneity," Discussion Papers 14-006, Stanford Institute for Economic Policy Research.
    2. Wichman, Casey J. & Taylor, Laura O. & von Haefen, Roger H., 2016. "Conservation policies: Who responds to price and who responds to prescription?," Journal of Environmental Economics and Management, Elsevier, vol. 79(C), pages 114-134.
    3. Claude Diebolt & Tapas Mishra & Faustine Perrin, 2015. "Did Gender-Bias Matter in the Quantity- Quality Trade-off in the 19th Century France ?," Working Papers of BETA 2015-28, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    4. Iván Arribas & Jesús Peiró-Palomino & Emili Tortosa-Ausina, 2015. "Is full banking integration desirable?," Working Papers 2015/05, Economics Department, Universitat Jaume I, Castellón (Spain).
    5. Hernández Martínez, Pedro Jesús, 2016. "Reassessing the link between firm size and exports," Economics Discussion Papers 2016-25, Kiel Institute for the World Economy (IfW Kiel).
    6. Rosen, Adam M., 2012. "Set identification via quantile restrictions in short panels," Journal of Econometrics, Elsevier, vol. 166(1), pages 127-137.
    7. Michael Jetter & Sabine Laudage & David Stadelmann, 2019. "The Intimate Link Between Income Levels and Life Expectancy: Global Evidence from 213 Years," Social Science Quarterly, Southwestern Social Science Association, vol. 100(4), pages 1387-1403, June.
    8. Carlos Lamarche, 2013. "Industry-wide work rules and productivity: evidence from Argentine union contract data," IZA Journal of Labor & Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 2(1), pages 1-25, December.
    9. Hyungsik Roger Moon & Martin Weidner, 2013. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers CWP63/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    10. 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.
    11. Weili Ding & Steven F. Lehrer, 2014. "Understanding the Role of Time-Varying Unobserved Ability Heterogeneity in Education Production," NBER Working Papers 19937, National Bureau of Economic Research, Inc.
    12. Spyridon Boikos & Theodore Panagiotidis & Georgios Voucharas, 2021. "Financial Development, Reforms and Growth," Bank of Lithuania Working Paper Series 98, Bank of Lithuania.
    13. Petyo Bonev & Matthieu Glachant & Magnus Söderberg, 2020. "Testing the regulatory threat hypothesis: Evidence from Sweden," Post-Print hal-03192542, HAL.
    14. Travis A. Smith, 2017. "Do School Food Programs Improve Child Dietary Quality?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(2), pages 339-356.
    15. Chang, Chun-Ping & Wen, Jun & Dong, Minyi & Hao, Yu, 2018. "Does government ideology affect environmental pollutions? New evidence from instrumental variable quantile regression estimations," Energy Policy, Elsevier, vol. 113(C), pages 386-400.
    16. Guglielmo Maria Caporale & Carlos Pestana Barros & Bruno Damasio, 2013. "Foreign direct investment in the Asian economies," NCID Working Papers 10/2013, Navarra Center for International Development, University of Navarra.
    17. Steven Parker, 2020. "Gasoline Demand in Middle-Income Countries," Economics Bulletin, AccessEcon, vol. 40(4), pages 2790-2801.
    18. David Powell, 2013. "A New Framework for Estimation of Quantile Treatment Effects Nonseparable Disturbance in the Presence of Covariates," Working Papers WR-824-1, RAND Corporation.
    19. Powell, David & Wagner, Joachim, 2010. "The Exporter Productivity Premium along the Productivity Distribution: First Evidence from a Quantile Regression Approach for Fixed Effects Panel Data Models," IZA Discussion Papers 5112, Institute of Labor Economics (IZA).
    20. Philip Kostov & Julie Le Gallo, 2015. "Convergence: A Story of Quantiles and Spillovers," Kyklos, Wiley Blackwell, vol. 68(4), pages 552-576, November.
    21. Galina Besstremyannaya, 2014. "The efficiency of labor matching and remuneration reforms: a panel data quantile regression approach with endogenous treatment variables," Working Papers w0206, Center for Economic and Financial Research (CEFIR).
    22. Pedro J. Hernández, 2020. "Reassessing the link between firm size and exports," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 10(2), pages 207-223, June.
    23. David Powell & Joachim Wagner, 2011. "The Exporter Productivity Premium along the Productivity Distribution Evidence from Unconditional Quantile Regression with Firm Fixed Effects," Working Papers WR-837, RAND Corporation.
    24. Sieger, Philip, 2013. "Job Losses and Criminal Gains: Analyzing the Effect of Unemployment on Criminal Activity," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79929, Verein für Socialpolitik / German Economic Association.
    25. Pei-Ing Wu & Je-Liang Liou & Hung-Yi Chang, 2015. "Alternative exploration of EKC for $$\hbox {CO}_{2}$$ CO 2 emissions: inclusion of meta-technical ratio in quantile regression model," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(1), pages 57-73, January.
    26. Behera, Deepak Kumar & Dash, Umakant, 2019. "Prioritization of government expenditure on health in India: A fiscal space perspective," Socio-Economic Planning Sciences, Elsevier, vol. 68(C).
    27. David Powell, 2010. "Unconditional Quantile Treatment Effects in the Presence of Covariates," Working Papers WR-816, RAND Corporation.
    28. 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.
    29. 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.
    30. Philip Kostov & Julie Le Gallo, 2018. "What role for human capital in the growth process: new evidence from endogenous latent factor panel quantile regressions," Scottish Journal of Political Economy, Scottish Economic Society, vol. 65(5), pages 501-527, November.
    31. 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.
    32. Matano, Alessia & Naticchioni, Paolo, 2013. "Rent sharing as a driver of the glass ceiling effect," Economics Letters, Elsevier, vol. 118(1), pages 55-59.
    33. Emmanouil Kitsios & Manasa Patnam, 2016. "Estimating Fiscal Multipliers with Correlated Heterogeneity," IMF Working Papers 2016/013, International Monetary Fund.
    34. Galina Besstremyannaya, 2015. "Heterogeneous effect of residency matching and prospective payment on labor returns and hospital scale economies," Discussion Papers 15-001, Stanford Institute for Economic Policy Research.
    35. Andini, Corrado & Andini, Monica, 2015. "A Note on Unemployment Persistence and Quantile Parameter Heterogeneity," IZA Discussion Papers 8819, Institute of Labor Economics (IZA).
    36. Li Tao & Yuanjie Zhang & Maozai Tian, 2019. "Quantile Regression for Dynamic Panel Data Using Hausman–Taylor Instrumental Variables," Computational Economics, Springer;Society for Computational Economics, vol. 53(3), pages 1033-1069, March.
    37. Meral KAGITCI & Leonardo BADEA & Vasile Cosmin NICULA, 2021. "The Catch-up Effect of Economic Growth. Evidence from the European Countries," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 76-86, December.
    38. Stefano Bianchini & Gabriele Pellegrino & Federico Tamagni, 2016. "Innovation Strategies and Firm Growth," LEM Papers Series 2016/03, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    39. Yonggang Ji & Haifang Shi, 2020. "Bayesian variable selection in linear quantile mixed models for longitudinal data with application to macular degeneration," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-34, October.
    40. Harding, Matthew & Lamarche, Carlos, 2014. "A Hausman–Taylor instrumental variable approach to the penalized estimation of quantile panel models," Economics Letters, Elsevier, vol. 124(2), pages 176-179.
    41. Li Tao & Lingnan Tai & Manling Qian & Maozai Tian, 2023. "A New Instrumental-Type Estimator for Quantile Regression Models," Mathematics, MDPI, vol. 11(15), pages 1-26, August.
    42. Fenfen Wei & Nanping Feng & Kevin H. Zhang, 2017. "Innovation Capability and Innovation Talents: Evidence from China Based on a Quantile Regression Approach," Sustainability, MDPI, vol. 9(7), pages 1-15, July.
    43. Entorf, Horst & Sieger, Philip, 2014. "Does the Link between Unemployment and Crime Depend on the Crime Level? A Quantile Regression Approach," IZA Discussion Papers 8334, Institute of Labor Economics (IZA).
    44. José Manuel Pastor & Jose M. Pavía & Lorenzo Serrano & Emili Tortosa-Ausina, 2017. "Rich regions, poor regions and bank branch deregulation in Spain," Regional Studies, Taylor & Francis Journals, vol. 51(11), pages 1678-1694, November.
    45. Genya Kobayashi & Hideo Kozumi, 2012. "Bayesian analysis of quantile regression for censored dynamic panel data," Computational Statistics, Springer, vol. 27(2), pages 359-380, June.
    46. Dogan, Eyup & Altinoz, Buket & Tzeremes, Panayiotis, 2020. "The analysis of ‘Financial Resource Curse’ hypothesis for developed countries: Evidence from asymmetric effects with quantile regression," Resources Policy, Elsevier, vol. 68(C).
    47. Mulalo Mamburu, 2018. "On the persistence of growth for South African firms," WIDER Working Paper Series wp-2018-74, World Institute for Development Economic Research (UNU-WIDER).
    48. Dary, Stanley K. & James, Harvey S., 2019. "Does investment in trade credit matter for profitability? Evidence from publicly listed agro-food firms," Research in International Business and Finance, Elsevier, vol. 47(C), pages 237-250.
    49. Smith, Travis A., 2013. ""Billions and Billions Served" Heterogeneous Effects of Food Source on Child Dietary Quality," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 151212, Agricultural and Applied Economics Association.
    50. Gustavo A. Crespi & Alessandro Maffioli & Pierre Mohnen & Gonzalo Vázquez, 2011. "Evaluating the Impact of Science, Technology and Innovation Programs: a Methodological Toolkit," SPD Working Papers 1104, Inter-American Development Bank, Office of Strategic Planning and Development Effectiveness (SPD).
    51. Alessia Matano & Paolo Naticchioni, 2009. "Wage distribution and the spatial sorting of workers and firms," Working Papers - Dipartimento di Economia 8-DEISFOL, Dipartimento di Economia, Sapienza University of Rome, revised 2009.
    52. David Powell, 2020. "Does Labor Supply Respond to Transitory Income? Evidence from the Economic Stimulus Payments of 2008," Journal of Labor Economics, University of Chicago Press, vol. 38(1), pages 1-38.
    53. David Powell, 2022. "Quantile regression with nonadditive fixed effects," Empirical Economics, Springer, vol. 63(5), pages 2675-2691, November.
    54. Dogan, Eyup & Altinoz, Buket & Madaleno, Mara & Taskin, Dilvin, 2020. "The impact of renewable energy consumption to economic growth: A replication and extension of Inglesi-Lotz (2016)," Energy Economics, Elsevier, vol. 90(C).
    55. Guilherme Resende Oliveira & Benjamin Miranda Tabak & José Guilherme de Lara Resende & Daniel Oliveira Cajueiro, 2012. "Determinantes da Estrutura de Capital das Empresas Brasileiras: uma abordagem em regressão quantílica," Working Papers Series 272, Central Bank of Brazil, Research Department.
    56. Xu, Feng & Wang, Zhanqi & Chi, Guangqing & Zhang, Zhexi, 2020. "The impacts of population and agglomeration development on land use intensity: New evidence behind urbanization in China," Land Use Policy, Elsevier, vol. 95(C).
    57. Brandon J. Sheridan & Rishav Bista & Erik Figueiredo, 2020. "Growth takeoffs and trade margins: a quantile regression approach," Empirical Economics, Springer, vol. 59(1), pages 275-294, July.
    58. Chen, Xia & Fu, Qiang & Chang, Chun-Ping, 2021. "What are the shocks of climate change on clean energy investment: A diversified exploration," Energy Economics, Elsevier, vol. 95(C).
    59. Duong Phuong Thao Pham & Thi Cam Ha Huynh, 2020. "The Impact of Trade Credit Investment on Manufacturing Firms' Profitability: Evidence from Vietnam," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 68(4), pages 775-796.
    60. Jian Hou & Shenyang Yang & Guoliang Fan & Hongxia Xu, 2024. "The impact of energy consumption on carbon emissions intensity in China: evidence from a dynamic panel quantile regression model," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 19, pages 268-288.
    61. Shin-Yi Chou & Echu Liu & Min-Jen Lin & Jin-Tan Liu, 2015. "Better peers, better scores? A study of twin junior high school graduates in Taiwan," Applied Economics, Taylor & Francis Journals, vol. 47(32), pages 3462-3481, July.
    62. Hyungsik Roger Roger Moon & Martin Weidner, 2013. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers 63/13, Institute for Fiscal Studies.
    63. 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.
    64. David Powell & Joachim Wagner, 2021. "The Exporter Productivity Premium Along the Productivity Distribution: Evidence from Quantile Regression with Nonadditive Firm Fixed Effects," World Scientific Book Chapters, in: Joachim Wagner (ed.), MICROECONOMETRIC STUDIES OF FIRMS’ IMPORTS AND EXPORTS Advanced Methods of Analysis and Evidence from German Enterprises, chapter 9, pages 121-149, World Scientific Publishing Co. Pte. Ltd..
    65. Zhang, Yingying & Wang, Huixia Judy & Zhu, Zhongyi, 2019. "Quantile-regression-based clustering for panel data," Journal of Econometrics, Elsevier, vol. 213(1), pages 54-67.
    66. Paniagua, Jordi & Figueiredo, Erik & Sapena, Juan, 2015. "Quantile regression for the FDI gravity equation," Journal of Business Research, Elsevier, vol. 68(7), pages 1512-1518.
    67. Harding, Matthew & Lamarche, Carlos, 2012. "Estimating and Testing a Quantile Regression Model with Interactive Effects," IZA Discussion Papers 6802, Institute of Labor Economics (IZA).
    68. Ilin, Cornelia & Shi, Guanming, 2016. "Competition, Price Dispersion and Capacity Constraints: The Case of the U.S. Corn Seed Industry," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236532, Agricultural and Applied Economics Association.
    69. Sherrilyn Billger & Carlos Lamarche, 2015. "A panel data quantile regression analysis of the immigrant earnings distribution in the United Kingdom and United States," Empirical Economics, Springer, vol. 49(2), pages 705-750, September.
    70. Herman Sahni & Christian Nsiah & Bichaka Fayissa, 2021. "The African economic growth experience and tourism receipts: A threshold analysis and quantile regression approach," Tourism Economics, , vol. 27(5), pages 915-932, August.
    71. Hyungsik Roger Roger Moon & Martin Weidner, 2014. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers 47/14, Institute for Fiscal Studies.
    72. 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.
    73. Marcus Alexander & Matthew Harding & Carlos Lamarche, 2011. "Quantifying the impact of economic crises on infant mortality in advanced economies," Applied Economics, Taylor & Francis Journals, vol. 43(24), pages 3313-3323.
    74. Diebolt, Claude & Mishra, Tapas & Perrin, Faustine, 2021. "Gender empowerment as an enforcer of individuals’ choice between education and fertility: Evidence from 19th century France," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 408-438.
    75. 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).
    76. Jetter, Michael & Agudelo, Alejandra Montoya & Hassan, Andrés Ramírez, 2015. "The Effect of Democracy on Corruption: Income is Key," World Development, Elsevier, vol. 74(C), pages 286-304.
    77. Galina Besstremyannaya, 2014. "The efficiency of labor matching and remuneration reforms: a panel data quantile regression approach with endogenous treatment variables," Working Papers w0206, New Economic School (NES).
    78. Bang, James T. & Mitra, Aniruddha & Wunnava, Phanindra V., 2016. "Do remittances improve income inequality? An instrumental variable quantile analysis of the Kenyan case," Economic Modelling, Elsevier, vol. 58(C), pages 394-402.
    79. 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.
    80. David Powell, 2014. "Did the Economic Stimulus Payments of 2008 Reduce Labor Supply? Evidence from Quantile Panel Data Estimation," Working Papers WR-710-3, RAND Corporation.
    81. 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.

  23. De Silva, Dakshina G. & Kosmopoulou, Georgia & Lamarche, Carlos, 2009. "The effect of information on the bidding and survival of entrants in procurement auctions," Journal of Public Economics, Elsevier, vol. 93(1-2), pages 56-72, February.
    See citations under working paper version above.
  24. 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.

    Cited by:

    1. Damette, Olivier & Delacote, Philippe, 2012. "On the economic factors of deforestation: What can we learn from quantile analysis?," Economic Modelling, Elsevier, vol. 29(6), pages 2427-2434.
    2. Arulampalam, Wiji & Naylor, Robin & Smith, Jeremy, 2008. "Am I Missing Something? The Effects of Absence from Class on Student Performance," IZA Discussion Papers 3749, Institute of Labor Economics (IZA).
    3. Carlos Lamarche, 2013. "Industry-wide work rules and productivity: evidence from Argentine union contract data," IZA Journal of Labor & Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 2(1), pages 1-25, December.
    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. Tavares, Priscilla Albuquerque, 2015. "The impact of school management practices on educational performance: Evidence from public schools in São Paulo," Economics of Education Review, Elsevier, vol. 48(C), pages 1-15.
    6. Changhui Kang & Yoonsoo Park, 2021. "Private Tutoring and Distribution of Student Academic Outcomes: An Implication of the Presence of Private Tutoring for Educational Inequality," Korean Economic Review, Korean Economic Association, vol. 37, pages 287-326.
    7. Harding, Matthew & Lamarche, Carlos, 2009. "A quantile regression approach for estimating panel data models using instrumental variables," Economics Letters, Elsevier, vol. 104(3), pages 133-135, September.
    8. 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).

  25. Galiani, Sebastian & Lamarche, Carlos & Porto, Alberto & Sosa-Escudero, Walter, 2005. "Persistence and regional disparities in unemployment (Argentina 1980-1997)," Regional Science and Urban Economics, Elsevier, vol. 35(4), pages 375-394, July.

    Cited by:

    1. Alberto Porto & Atilio Elizagaray, 2011. "Regional Development, Regional Disparities and Public Policies in Argentina: A Long-run View," Chapters, in: Werner Baer & David Fleischer (ed.), The Economies of Argentina and Brazil, chapter 16, Edward Elgar Publishing.
    2. Carlos Lamarche, 2013. "Industry-wide work rules and productivity: evidence from Argentine union contract data," IZA Journal of Labor & Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 2(1), pages 1-25, December.
    3. Cerro, Ana María & Ortega, Ana Carolina, 2012. "Sources of Regional Crime Persistence Argentina 1980-2008," MPRA Paper 44482, University Library of Munich, Germany.
    4. Marukawa, Tomoo, 2017. "Regional unemployment disparities in China," Economic Systems, Elsevier, vol. 41(2), pages 203-214.

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