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Carlos Lamarche

Citations

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Working papers

  1. Harding, Matthew & Kettler, Kyle & Lamarche, Carlos & Ma, Lala, 2021. "The (Alleged) Environmental and Social Benefits of Dynamic Pricing," IZA Discussion Papers 14846, IZA Network @ LISER.

    Cited by:

    1. Wang, Kaifeng & Zhong, Chunping & Yu, Rong, 2024. "The greenhouse gas reduction effect of critical peak pricing for industrial electricity: Evidence from 285 Chinese cities, 2003–2019," Energy Policy, Elsevier, vol. 190(C).
    2. Chengqi Zang & Gabriel P. Andrade & Ou{g}uzhan Ersoy, 2025. "Automated Market Making for Goods with Perishable Utility," Papers 2511.16357, arXiv.org.

  2. 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. Antonio F. Galvao & Carlos Lamarche & Thomas Parker, 2025. "Partitioned Wild Bootstrap for Panel Data Quantile Regression," Papers 2507.18494, arXiv.org.
    3. 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).

  3. 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. 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.
    2. Novelli, Giacomo, "undated". "Energy Dependency and Long-Run Growth," FEEM Working Papers 329650, Fondazione Eni Enrico Mattei (FEEM).
    3. Asad Nisar & Rabia Rafique, 2025. "Fiscal strategies for sustainable debt management in developing economies: dynamic common correlated effects approach," Economic Change and Restructuring, Springer, vol. 58(4), pages 1-31, August.
    4. Juodis, Artūras & Reese, Simon, 2026. "Five lessons for applied researchers from twenty years of common correlated effects estimation," Journal of Econometrics, Elsevier, vol. 253(C).
    5. Gagan Deep Sharma & Muhammad Ibrahim Shah & Ritika Chopra & Amar Rao & Umer Shahzad, 2025. "Impact of technological advancement and greener energy on sustainable agriculture in Asia: Evidence from selected Asian countries," Sustainable Development, John Wiley & Sons, Ltd., vol. 33(1), pages 221-237, February.
    6. Gkillas, Konstantinos & Konstantatos, Christoforos & Papathanasiou, Spyros & Wohar, Mark, 2023. "Estimation of value at risk for copper," Journal of Commodity Markets, Elsevier, vol. 32(C).
    7. Giacomo Novelli, 2022. "Energy Dependency and Long-Run Growth," Working Papers 2022.42, Fondazione Eni Enrico Mattei.
    8. 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.
    9. Harold D. Chiang & Antonio F. Galvao & Chia-Min Wei, 2026. "Panel Quantile Regression with Common Shocks," Papers 2602.19201, arXiv.org, revised Jun 2026.
    10. 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.
    11. Ngesisa Magida & Thobeka Ncanywa & Kin Sibanda & Abiola John Asaleye, 2025. "Human Capital Development and Public Health Expenditure: Assessing the Long-Term Sustainability of Economic Development Models," Social Sciences, MDPI, vol. 14(6), pages 1-27, June.
    12. Shittu, Ibrahim & Saqib, Abdul & Tang, Chor Foon & Chen, You, 2025. "Does global geopolitical risk jeopardize the clean energy transition? New evidence from a global panel," Renewable and Sustainable Energy Reviews, Elsevier, vol. 223(C).
    13. 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.
    14. Chuliá, Helena & Garrón, Ignacio & Uribe, Jorge M., 2024. "Vulnerable funding in the global economy," Journal of Banking & Finance, Elsevier, vol. 169(C).
    15. Tomohiro Ando & Jushan Bai & Kunpeng Li & Yong Song, 2025. "Bayesian inference for dynamic spatial quantile models with interactive effects," Papers 2503.00772, arXiv.org, revised Jun 2025.
    16. 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.
    17. Stéphane Goutte & Konstantinos N. Konstantakis & Dimitris Konstantios & Panayotis G. Michaelides & Arsenios‐georgios N. Prelorentzos, 2026. "Econometrics at the Extreme: From Quantile Regression to QFAVAR 1," Post-Print hal-05503058, HAL.
    18. 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.
    19. 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.
    20. 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 economies," Resources Policy, Elsevier, vol. 74(C).
    21. 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.
    22. Moeti Damane & Sin Yu Ho, 2026. "Effects of financial inclusion on financial stability: evidence from SSA countries," International Economics and Economic Policy, Springer, vol. 23(2), pages 1-27, May.
    23. Bataka, Hodabalo, 2021. "Globalization and Environmental Pollution in Sub-Saharan Africa," African Journal of Economic Review, African Journal of Economic Review, vol. 9(01), January.
    24. Gillman, Max & Csabafi, Tamas Z. & Benk, Szilard & Matyas, Laszlo & Smith, Mitchell P. & Harris, Mark N., 2026. "Revisiting neoclassical growth theory: A primary role for inflation and capacity utilization," Economic Modelling, Elsevier, vol. 154(C).
    25. David Powell, 2022. "Quantile regression with nonadditive fixed effects," Empirical Economics, Springer, vol. 63(5), pages 2675-2691, November.
    26. Abankwah, Stephen Asare & Afriyie, Samuel Osei, 2025. "Modelling Sustainable Energy Transition in BRICS+ Countries: A Smoothed Common Correlated Effects Instrumental Variable Quantile Regression Approach," MPRA Paper 123758, University Library of Munich, Germany.
    27. Kim Tae Yeon & Oh Hee-Seok & Lim Yaeji, 2026. "Forecasting High-Dimensional Non-Normal Time Series Using Averaged Quantile Regression," Journal of Time Series Econometrics, De Gruyter, vol. 18(1), pages 49-61.
    28. Shakeel Ahmad & Xuepin Wu & Atta UR Rahman & Asad Ullah, 2025. "Unlocking industrial decarbonization: the catalytic role of artificial intelligence in circular economy practices from EU countries," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-15, December.
    29. 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).
    30. Christis Katsouris, 2023. "Optimal Estimation Methodologies for Panel Data Regression Models," Papers 2311.03471, arXiv.org, revised Nov 2023.
    31. Cepoi, Cosmin-Octavian, 2020. "Asymmetric dependence between stock market returns and news during COVID-19 financial turmoil," Finance Research Letters, Elsevier, vol. 36(C).
    32. Yang, Jisheng & Wei, Jinbao & Cai, Biqing, 2022. "Quantile unit root inference for panel data with common shocks," Economics Letters, Elsevier, vol. 219(C).

  4. 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. Andrii Babii & Ryan T. Ball & Eric Ghysels & Jonas Striaukas, 2020. "Machine Learning Panel Data Regressions with Heavy-tailed Dependent Data: Theory and Application," Papers 2008.03600, arXiv.org, revised Nov 2021.
    2. Carlos Lamarche & Thomas Parker, 2022. "Wild Bootstrap Inference For Penalized Quantile Regression For Longitudinal Data," Working Papers 22003 Classification-C15,, University of Waterloo, Department of Economics.

  5. Hartley, Robert Paul & Lamarche, Carlos & Ziliak, James P., 2017. "Welfare Reform and the Intergenerational Transmission of Dependence," IZA Discussion Papers 10942, IZA Network @ LISER.

    Cited by:

    1. Marianne Simonsen & Lars Skipper & Jeffrey A. Smith, 2025. "Welfare Reform: Consequences for the Children," Papers 2506.03927, arXiv.org, revised Jan 2026.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Monique De Haan & Ragnhild C. Schreiner, 2018. "The Intergenerational Transmission of Welfare Dependency," CESifo Working Paper Series 7140, CESifo.
    7. Galassi, Gabriela & Koll, David & Mayr, Lukas, 2019. "The Intergenerational Correlation of Employment: Is There a Role for Work Culture?," IZA Discussion Papers 12595, IZA Network @ LISER.
    8. 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, IZA Network @ LISER.
    9. 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, IZA Network @ LISER.
    10. Gershoni, Naomi & Gihleb, Rania & Kott, Assaf & Mansour, Hani & Shanan, Yannay, 2025. "Adjustments to Reduced Cash Transfers: Religious Safety Nets and Children’s Long-Term Outcomes," IZA Discussion Papers 17873, IZA Network @ LISER.
    11. Feichtmayer, Jennifer & Riphahn, Regina T., 2023. "Intergenerational Transmission of Welfare Benefit Receipt: Evidence from Germany," IZA Discussion Papers 16660, IZA Network @ LISER.
    12. 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.
    13. Ding, Xiaozhou, 2021. "College education and internal migration in China," China Economic Review, Elsevier, vol. 69(C).
    14. Buckles, Kasey, 2017. "Maternal Socio-Economic Status and the Well-Being of the Next Generation(s)," IZA Discussion Papers 10714, IZA Network @ LISER.
    15. 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.
    16. Davuthan Günaydın, 2023. "Sosyal Yardım Sorunu Olarak Sosyal Yardım Bağımlılığı," Journal of Social Policy Conferences, Istanbul University, Faculty of Economics, issue 84, pages 15-26, July.
    17. Zachary Parolin & Rafael Pintro-Schmitt & Gøsta Esping-Andersen & Peter Fallesen, 2025. "Intergenerational persistence of poverty in five high-income countries," Nature Human Behaviour, Nature, vol. 9(2), pages 254-267, February.
    18. 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.
    19. 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.
    20. 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.
    21. Gordon B. Dahl & Anne (A.C.) Gielen, 2018. "Intergenerational Spillovers in Disability Insurance," Tinbergen Institute Discussion Papers 18-015/V, Tinbergen Institute.
    22. Shanan, Yannay, 2024. "The intergenerational effects of welfare transfers among single mothers: Evidence from an Israeli welfare reform," Journal of Public Economics, Elsevier, vol. 237(C).
    23. Colleen Heflin & James P. Ziliak, 2024. "Does the reference period matter when evaluating the effect of SNAP on food insecurity?," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 46(4), pages 1268-1285, December.
    24. 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.
    25. 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.
    26. 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.
    27. Robert Paul Hartley & Lauren Toppenberg & Shatakshee Dhongde, 2024. "Poverty and Disadvantage throughout Childhood in the United States," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 17(6), pages 2709-2737, December.
    28. Kunz, Johannes S. & Zhu, Anna, 2023. "Welfare Reform and Migrant's Long-Term Labor Market Integration," IZA Discussion Papers 16285, IZA Network @ LISER.
    29. 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.
    30. Fletcher, Jason & Jajtner, Katie M., 2023. "Multidimensional intergenerational mobility," Social Science & Medicine, Elsevier, vol. 328(C).
    31. Robert Paul Hartley & Carlos Lamarche & James P. Ziliak, 2025. "Childhood Welfare Exposure and Economic Outcomes for Adult Daughters and Sons," CEDLAS, Working Papers 0350, CEDLAS, Universidad Nacional de La Plata.
    32. Cobb-Clark, Deborah A. & Dahmann, Sarah C. & Salamanca, Nicolás & Zhu, Anna, 2017. "Intergenerational Disadvantage: Learning about Equal Opportunity from Social Assistance Receipt," IZA Discussion Papers 11070, IZA Network @ LISER.
    33. Hufe, Paul & Kobus, Martyna & Peichl, Andreas & Schüle, Paul, 2025. "Multidimensional equality of opportunity in the United States," European Economic Review, Elsevier, vol. 180(C).
    34. Adrienne M. Lucas & Patrick J. McEwan & David Torres Irribarra, 2025. "The Long-Run and Intergenerational Effects of Conditional Cash Transfers: Evidence from Chile’s Indigenous Grants," NBER Working Papers 33798, National Bureau of Economic Research, Inc.
    35. , Stone Center & Davis, Jonathan & Mazumder, Bhashkar, 2020. "The Decline in Intergenerational Mobility After 1980," SocArXiv evfcx, Center for Open Science.
    36. Matias Giaccobasso, 2026. "Delaying Fertility, Advancing Careers: The Lasting Consequences of Growing Up with a Safety Net," RFBerlin Discussion Paper Series 26139, ROCKWOOL Foundation Berlin (RFBerlin).
    37. Vaughn, Cody N., 2023. "Welfare reform and childhood health status and utilization," Children and Youth Services Review, Elsevier, vol. 150(C).
    38. Katherine Michelmore, 2026. "The Case for a Universal Child Tax Credit," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 45(2), March.
    39. Galassi, Gabriela & Koll, David & Mayr, Lukas, 2024. "The intergenerational correlation of employment: Mothers as role models?," Labour Economics, Elsevier, vol. 90(C).
    40. Riise, Julie & Willage, Barton & Willén, Alexander, 2025. "Intergenerational effects of sick leave on child human capital," Journal of Health Economics, Elsevier, vol. 103(C).
    41. 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.
    42. 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.
    43. 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.
    44. 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.
    45. 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).

  6. Hartley, Robert Paul & Lamarche, Carlos, 2017. "Behavioral Responses and Welfare Reform: Evidence from a Randomized Experiment," IZA Discussion Papers 10905, IZA Network @ LISER.

    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. Bergolo, M. & Cruces, G., 2021. "The anatomy of behavioral responses to social assistance when informal employment is high," Journal of Public Economics, Elsevier, vol. 193(C).

  7. 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. Nyström, Johan & Wikström, Daniel, 2019. "Empirical analysis of unbalanced bidding on Swedish roads," Working Papers 2019:4, Swedish National Road & Transport Research Institute (VTI).
    2. Decarolis, Francesco & Giuffrida, Leonardo & Iossa, Elisabetta & Mollisi, Vincenzo & Spagnolo, Giancarlo, 2019. "Bureaucratic competence and procurement outcomes," ZEW Discussion Papers 19-057, ZEW - Leibniz Centre for European Economic Research.

  8. Lamarche, Carlos, 2013. "Industry-Wide Work Rules and Productivity: Evidence from Argentine Union Contract Data," IZA Discussion Papers 7673, IZA Network @ LISER.

    Cited by:

    1. Laroche, Patrice, 2020. "Unions, Collective Bargaining and Firm Performance," GLO Discussion Paper Series 728, Global Labor Organization (GLO).
    2. Carlos Lamarche, 2015. "Collective bargaining in developing countries," World of Labour, LISER, pages 183-183, September.
    3. 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.

  9. Harding, Matthew & Lamarche, Carlos, 2013. "Penalized Quantile Regression with Semiparametric Correlated Effects: Applications with Heterogeneous Preferences," IZA Discussion Papers 7741, IZA Network @ LISER.

    Cited by:

    1. Song, Xiaojun & Yang, Zixin, 2025. "Unified specification tests in partially linear quantile regression models," Statistics & Probability Letters, Elsevier, vol. 216(C).
    2. 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).
    3. 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.
    4. Jiaying Gu & Stanislav Volgushev, 2018. "Panel Data Quantile Regression with Grouped Fixed Effects," Papers 1801.05041, arXiv.org, revised Aug 2018.
    5. 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.
    6. 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.
    7. 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).
    8. 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.
    9. Xin Liu, 2024. "A quantile-based nonadditive fixed effects model," Papers 2405.03826, arXiv.org, revised Dec 2025.
    10. Maria Laura Battagliola & Helle Sørensen & Anders Tolver & Ana-Maria Staicu, 2025. "Quantile Regression for Longitudinal Functional Data with Application to Feed Intake of Lactating Sows," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 30(1), pages 211-230, March.
    11. Yu, Lu & Gu, Jiaying & Volgushev, Stanislav, 2024. "Spectral clustering with variance information for group structure estimation in panel data," Journal of Econometrics, Elsevier, vol. 241(1).
    12. 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.
    13. 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.
    14. Besstremyannaya, Galina & Golovan, Sergei, 2026. "Instrumental variable quantile regression for clustered data," Econometrics and Statistics, Elsevier, vol. 37(C), pages 199-213.
    15. 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.
    16. 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.
    17. Gu, Jiaying & Volgushev, Stanislav, 2019. "Panel data quantile regression with grouped fixed effects," Journal of Econometrics, Elsevier, vol. 213(1), pages 68-91.

  10. Harding, Matthew & Lamarche, Carlos, 2012. "Estimating and Testing a Quantile Regression Model with Interactive Effects," IZA Discussion Papers 6802, IZA Network @ LISER.

    Cited by:

    1. 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.
    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. Hartley, Robert Paul & Lamarche, Carlos, 2017. "Behavioral Responses and Welfare Reform: Evidence from a Randomized Experiment," IZA Discussion Papers 10905, IZA Network @ LISER.
    4. 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(01).
    5. 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.
    6. 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.
    7. 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).
    8. Dolado, Juan J & Chen, Liang & Gonzalo, Jesus, 2018. "Quantile Factor Models," CEPR Discussion Papers 12716, Centre for Economic Policy Research.
    9. Nadine Levratto & Aziza Garsaa & Luc Tessier, 2013. "La Corse est-elle soluble dans le modèle méditerranéen ?," Working Papers hal-00842059, HAL.
    10. Juodis, Artūras & Reese, Simon, 2026. "Five lessons for applied researchers from twenty years of common correlated effects estimation," Journal of Econometrics, Elsevier, vol. 253(C).
    11. Frantisek Cech & Jozef Barunik, 2017. "Measurement of Common Risk Factors: A Panel Quantile Regression Model for Returns," Papers 1708.08622, arXiv.org.
    12. Ruofan Xu & Jiti Gao & Tatsushi Oka & Yoon-Jae Whang, 2022. "Quantile Random-Coefficient Regression with Interactive Fixed Effects: Heterogeneous Group-Level Policy Evaluation," Papers 2208.03632, arXiv.org, revised Nov 2024.
    13. 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.
    14. 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.
    15. 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.
    16. Temple, Jonathan & Van de Sijpe, Nicolas, 2017. "Foreign aid and domestic absorption," Journal of International Economics, Elsevier, vol. 108(C), pages 431-443.
    17. 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.
    18. 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.
    19. 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.
    20. Andres Sagner, 2020. "High Dimensional Quantile Factor Analysis," Working Papers Central Bank of Chile 886, Central Bank of Chile.
    21. Chen, Liang, 2015. "Set identification of panel data models with interactive effects via quantile restrictions," Economics Letters, Elsevier, vol. 137(C), pages 36-40.
    22. 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.
    23. 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.
    24. 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 Mediterranean world ? An analysis from a quantile reg," EconomiX Working Papers 2013-20, University of Paris Nanterre, EconomiX.
    25. 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.
    26. 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.
    27. 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.
    28. Stéphane Goutte & Konstantinos N. Konstantakis & Dimitris Konstantios & Panayotis G. Michaelides & Arsenios‐georgios N. Prelorentzos, 2026. "Econometrics at the Extreme: From Quantile Regression to QFAVAR 1," Post-Print hal-05503058, HAL.
    29. Badi Baltagi & Peter Egger, 2016. "Estimation of structural gravity quantile regression models," Empirical Economics, Springer, vol. 50(1), pages 5-15, February.
    30. 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.
    31. 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.
    32. 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.
    33. 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.
    34. 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.
    35. 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.
    36. Liang Chen & Yulong Huo, 2019. "A Simple Estimator for Quantile Panel Data Models Using Smoothed Quantile Regressions," Papers 1911.04729, arXiv.org.
    37. Besstremyannaya, Galina & Golovan, Sergei, 2026. "Instrumental variable quantile regression for clustered data," Econometrics and Statistics, Elsevier, vol. 37(C), pages 199-213.
    38. Junlong Feng, 2019. "Regularized Quantile Regression with Interactive Fixed Effects," Papers 1911.00166, arXiv.org, revised Mar 2021.
    39. 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.
    40. 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.
    41. Ding, Weili & Lehrer, Steven F., 2014. "Understanding the role of time-varying unobserved ability heterogeneity in education production," Economics of Education Review, Elsevier, vol. 40(C), pages 55-75.
    42. 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.
    43. 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.
    44. Boudt, Kris & Heyndels, Ewoud, 2024. "Robust interactive fixed effects," Econometrics and Statistics, Elsevier, vol. 29(C), pages 206-223.
    45. 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.
    46. 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.
    47. Abankwah, Stephen Asare & Afriyie, Samuel Osei, 2025. "Modelling Sustainable Energy Transition in BRICS+ Countries: A Smoothed Common Correlated Effects Instrumental Variable Quantile Regression Approach," MPRA Paper 123758, University Library of Munich, Germany.
    48. 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.
    49. 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.
    50. 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.
    51. 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.
    52. 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).
    53. Cepoi, Cosmin-Octavian, 2020. "Asymmetric dependence between stock market returns and news during COVID-19 financial turmoil," Finance Research Letters, Elsevier, vol. 36(C).

  11. 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. Matilde Cappelletti & Leonardo M. Giuffrida, 2024. "Targeted Bidders in Government Tenders," CESifo Working Paper Series 11142, CESifo.
    2. Luigi Moretti & Paola Valbonesi, 2012. "Subcontracting in Public Procurement: An Empirical Investigation," "Marco Fanno" Working Papers 0154, Dipartimento di Scienze Economiche "Marco Fanno".
    3. Strömbäck, Elon, 2015. "Policy by Public Procurement: Opportunities and Pitfalls," Umeå Economic Studies 915, Umeå University, Department of Economics.
    4. Rosa, Benjamin, 2019. "Affirmative Action Subcontracting Regulations in Dynamic Procurement Auctions," MPRA Paper 93065, University Library of Munich, Germany.
    5. Andrea Fazio & Erminia Florio & Gustavo Piga, 2024. "SMEs Performance in Public Procurement and the Italian Legality Rating," CEIS Research Paper 587, Tor Vergata University, CEIS, revised 13 Jun 2025.
    6. 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).
    7. 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.
    8. 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".
    9. Rosa, Benjamin, 2016. "Subcontracting Requirements and the Cost of Government Procurement," MPRA Paper 77392, University Library of Munich, Germany.
    10. 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.
    11. 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.
    12. 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.
    13. 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).
    14. Rosa, Benjamin, 2022. "Diversity versus Equity in Government Contracting," MPRA Paper 114765, University Library of Munich, Germany.
    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.

  12. 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, IZA Network @ LISER.

    Cited by:

    1. 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.
    2. 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.
    3. Budría, Santiago & Swedberg, Pablo & Fonseca, Marlene, 2016. "Returns to Schooling among Immigrants in Spain: A Quantile Regression Approach," IZA Discussion Papers 10064, IZA Network @ LISER.
    4. 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.

  13. 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. 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.
    2. Natalya Presman & Tanya Suhoy, 2024. "How have government housing programs affected developers' bids in Israel Land Authority land tenders?," Bank of Israel Working Papers 2024.08, Bank of Israel.
    3. 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.
    4. 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.
    5. 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.
    6. Barbosa, Klenio & Boyer, Pierre C., 2021. "Discrimination in Dynamic Procurement Design with Learning-by-doing," International Journal of Industrial Organization, Elsevier, vol. 77(C).
    7. Matilde Cappelletti & Leonardo M. Giuffrida & Gabriele Rovigatti, 2022. "Procuring Survival," CESifo Working Paper Series 10124, CESifo.
    8. İlke Onur & Rasim Özcan & Bedri Taş, 2012. "Public Procurement Auctions and Competition in Turkey," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 40(3), pages 207-223, May.
    9. 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.
    10. Lavinia Piemontese & Andrea Tulli, 2026. "Public Demand Allocation and Productivity of the Private Sector," Working Papers wp1218, Dipartimento Scienze Economiche, Universita' di Bologna.
    11. Bedri Kamil Onur Tas, 2015. "How to Achieve Efficiency in Public Procurement Auctions," Working Papers 919, Economic Research Forum, revised Jun 2015.
    12. Hoekman, Bernard & Onur Taş, Bedri Kamil, 2024. "Discretion and public procurement outcomes in Europe," European Journal of Political Economy, Elsevier, vol. 82(C).
    13. Iossa, Elisabetta & Rey, Patrick & Waterson, Michael, 2019. "Organizing Competition for the Market," CEPR Discussion Papers 13461, Centre for Economic Policy Research.
    14. 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).
    15. 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.
    16. 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.
    17. 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).
    18. 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.
    19. 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.
    20. 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).
    21. 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".
    22. Fan Wu & Yi Xin, 2024. "Estimating Nonseparable Selection Models: A Functional Contraction Approach," Papers 2411.01799, arXiv.org, revised Jun 2026.
    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. 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.
    26. Stéphane Saussier & Carine Staropoli & Anne Yvrande-Billon, 2009. "Public–Private Agreements, Institutions, and Competition: When Economic Theory Meets Facts," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 35(1), pages 1-18, September.
    27. Josephine Auer & Lana Friesen & Ian A. MacKenzie, 2026. "A Secret Worth Keeping? Bid Cap Design in Budget-Constrained Procurement Auctions," Discussion Papers Series 672, School of Economics, University of Queensland, Australia.
    28. 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.
    29. Robertson, Matthew J., 2025. "Procurement with competing insiders," Economics Letters, Elsevier, vol. 250(C).
    30. 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.
    31. Dejan Makovsek & 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.
    32. 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.
    33. 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.
    34. Laurent LAMY & Manasa PATNAM & Michael VISSER, 2019. "Distinguishing Incentive from Selection Effects in Auction-Determined Contracts," Working Papers 2019-15, Center for Research in Economics and Statistics.
    35. Bernard Hoekman & Bedri Kamil Onur Tas, 2023. "Discretion and Public Procurement Outcomes," Working Papers 1667, Economic Research Forum, revised 20 Nov 2023.
    36. Moszoro, Marian W. & Saussier, Stéphane & Beuve, Jean, 2024. "Rigidity in public contracts: Implications for renewal dynamics," The Quarterly Review of Economics and Finance, Elsevier, vol. 98(C).
    37. Waterson, Michael & Xie, Jian, 2026. "Information disclosure and bidding structure: Evidence from the London bus market," The Quarterly Review of Economics and Finance, Elsevier, vol. 105(C).
    38. 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.

  14. 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. 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. Lamarche, Carlos, 2013. "Industry-Wide Work Rules and Productivity: Evidence from Argentine Union Contract Data," IZA Discussion Papers 7673, IZA Network @ LISER.
    3. 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.
    4. 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.

  15. 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.
    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.

  16. 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. 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.
    3. 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.

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. 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).

    Cited by:

    1. Foguesatto, Cristian Rogério & Righi, Marcelo Brutti & Müller, Fernanda Maria, 2024. "Is there a dark side to financial inclusion? Understanding the relationship between financial inclusion and market risk," The North American Journal of Economics and Finance, Elsevier, vol. 72(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.
    See citations under working paper version above.
  4. 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.
  5. Matthew C. Harding & Carlos Lamarche, 2021. "Small Steps with Big Data: Using Machine Learning in Energy and Environmental Economics," Annual Review of Resource Economics, Annual Reviews, vol. 13(1), pages 469-488, October.

    Cited by:

    1. Zhang, Shengwu & Han, Liyan, 2026. "Low-altitude infrastructure and economic growth: Evidence from general aviation airports," Transport Policy, Elsevier, vol. 175(C).

  6. 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.
  7. 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.
  8. 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. Mello, Fabiana Peixoto de & Silva, Francisco Gildemir Ferreira da & Falcão, Viviane, 2025. "Renegotiation drivers in Brazilian airport concessions," Transport Policy, Elsevier, vol. 169(C), pages 116-132.
    2. Elisabetta Iossa & Chiara Latour, 2025. "Firms’ Legality and Efficiency: Evidence from Public Procurement," CEIS Research Paper 592, Tor Vergata University, CEIS, revised 10 Feb 2025.
    3. Elisabetta Iossa & Chiara Latour, 2025. "Firms’ legality and efficiency: evidence from public procurement," European Journal of Law and Economics, Springer, vol. 59(3), pages 439-455, June.
    4. Malin Arve & David Martimort, 2024. "Auctioning long-term projects under financial constraints," Post-Print hal-04943026, HAL.
    5. Engel, Eduardo & Fischer, Ronald D. & Galetovic, Alexander, 2024. "The company you keep: Renegotiations and adverse selection in transportation infrastructure," Economics of Transportation, Elsevier, vol. 38(C).
    6. De Jaegher, Kris & Šoltés, Michal & Titl, Vítězslav, 2025. "Easing renegotiation rules in public procurement: Evidence from a policy reform," Journal of Public Economics, Elsevier, vol. 248(C).
    7. Rodivilov, Alexander, 2026. "Incentives for contract designers and contractual design," International Journal of Industrial Organization, Elsevier, vol. 104(C).
    8. 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.
    9. 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).

  9. Matthew Harding & Carlos Lamarche, 2019. "Penalized Estimation of a Quantile Count Model for Panel Data," Annals of Economics and Statistics, GENES, issue 134, pages 177-206.

    Cited by:

    1. Lamarche, Carlos & Shi, Xuan & Young, Derek S., 2024. "Conditional Quantile Functions for Zero-Inflated Longitudinal Count Data," Econometrics and Statistics, Elsevier, vol. 31(C), pages 49-65.

  10. 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.
  11. 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. Matilde Cappelletti & Leonardo M. Giuffrida, 2024. "Targeted Bidders in Government Tenders," CESifo Working Paper Series 11142, CESifo.
    2. Matilde Cappelletti & Leonardo M. Giuffrida & Gabriele Rovigatti, 2024. "Procuring Survival," Journal of Industrial Economics, Wiley Blackwell, vol. 72(4), pages 1451-1506, December.
    3. Yao, Li & Li, Jun & Chen, Kaihua & Yu, Rongjian, 2024. "Winning the second race of technology standardization: Strategic maneuvers in SEP follow-on innovations," Research Policy, Elsevier, vol. 53(6).
    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.
    6. 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.
    7. 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.

  12. 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.
  13. 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. 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.
    2. Manuel Frondel & Gerhard Kussel, 2019. "Switching on Electricity Demand Response: Evidence for German Households," The Energy Journal, , vol. 40(5), pages 1-16, September.
    3. 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.
    4. Marten Ovaere & Mark Vergouwen, 2025. "Capacity Constraints and Electrification: Evidence from Residential Electricity Demand and Pricing," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 25/1115, Ghent University, Faculty of Economics and Business Administration, revised Jun 2026.
    5. Jesse Burkhardt & Kenneth T. Gillingham & Praveen K. Kopalle, 2023. "Field Experimental Evidence on the Effect of Pricing on Residential Electricity Conservation," Management Science, INFORMS, vol. 69(12), pages 7784-7798, December.
    6. Rigaux, Baptiste & Hamels, Sam & Ovaere, Marten, 2025. "The proof of the pudding is in the heating: A field experiment on household engagement with heat pump flexibility," Energy Economics, Elsevier, vol. 148(C).
    7. Federico A. Bugni & Joel L. Horowitz, 2021. "Permutation tests for equality of distributions of functional data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(7), pages 861-877, November.
    8. Vesely, Stepan, 2025. "Evidence on environmentally conscious consumers’ preferences for energy-use automation in Germany and Spain," Utilities Policy, Elsevier, vol. 92(C).
    9. Harding, Matthew & Kettler, Kyle & Lamarche, Carlos & Ma, Lala, 2021. "The (Alleged) Environmental and Social Benefits of Dynamic Pricing," IZA Discussion Papers 14846, IZA Network @ LISER.
    10. 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).
    11. 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.
    12. 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.
    13. 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.
    14. Frondel, Manuel & Kussel, Gerhard, 2018. "Switching on electricity demand response: Evidence for German households," Ruhr Economic Papers 763, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    15. 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).
    16. 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.
    17. 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.
    18. Antonio F. Galvao & Carlos Lamarche & Thomas Parker, 2025. "Partitioned Wild Bootstrap for Panel Data Quantile Regression," Papers 2507.18494, arXiv.org.
    19. Chiranjit Chakraborty & Andreas Joseph, 2017. "Machine learning at central banks," Bank of England Staff Working Paper series 674, Bank of England.
    20. 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. Carlos Lamarche, 2015. "Collective bargaining in developing countries," World of Labour, LISER, pages 183-183, September.

    Cited by:

    1. Vincent Jerald Ramos & Edgar Antonio Suguitan, 2025. "The Incomplete Leap: On the Transition From Union Registration to the First Collective Agreement," Industrial Relations Journal, Wiley Blackwell, vol. 56(3), pages 189-203, May.
    2. Alzate, David & Carranza, Eliana & Duran-Franch, Joana & Packard, Truman & Proffen, Celina, 2024. "How Regulations Impact the Labor Market: A Review of the Literatures on Product and Labor Market Regulations," IZA Discussion Papers 17536, IZA Network @ LISER.
    3. Alexandra E. Hill & Diane E. Charlton & J. Edward Taylor, 2025. "Workforce Implications From Farm Automation," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 47(4), pages 1323-1335, September.
    4. 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.
    5. 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.

  15. 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. Frantisek Cech & Jozef Barunik, 2017. "Measurement of Common Risk Factors: A Panel Quantile Regression Model for Returns," Papers 1708.08622, arXiv.org.
    2. Maani, Sholeh A. & Wen, Le, 2021. "Over-Education and Immigrant Earnings: A Penalized Quantile Panel Regression Analysis," IZA Discussion Papers 14088, IZA Network @ LISER.
    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).

  16. 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 & Lingnan Tai & Maozai Tian, 2023. "Quantile regression for static panel data models with time-invariant regressors," PLOS ONE, Public Library of Science, vol. 18(8), pages 1-30, August.
    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. 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.
    4. 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.

  17. 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.
  18. 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.
  19. 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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Fell, Harrison & Kaffine, Daniel T., 2014. "A one-two punch: Joint eects of natural gas abundance and renewables on coal-red power plants," CEnREP Working Papers 340063, North Carolina State University, Department of Agricultural and Resource Economics.
    6. 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.
    7. Antonio F. Galvao & Thomas Parker & Zhijie Xiao, 2021. "Bootstrap inference for panel data quantile regression," Papers 2111.03626, arXiv.org.
    8. Victor Chernozhukov & Iv'an Fern'andez-Val & Martin Weidner, 2018. "Network and Panel Quantile Effects Via Distribution Regression," Papers 1803.08154, arXiv.org, revised Jun 2020.
    9. 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.
    10. 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.
    11. 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.
    12. Carlos Lamarche & Thomas Parker, 2020. "Wild Bootstrap Inference for Penalized Quantile Regression for Longitudinal Data," Papers 2004.05127, arXiv.org, revised May 2022.
    13. Galvao, Antonio F. & Kato, Kengo, 2016. "Smoothed quantile regression for panel data," Journal of Econometrics, Elsevier, vol. 193(1), pages 92-112.
    14. Bergstrand, Jeffrey H. & Clance, Matthew W. & Santos Silva, J.M.C., 2025. "The tails of gravity: Using expectiles to quantify the trade-margins effects of economic integration agreements," Journal of International Economics, Elsevier, vol. 157(C).
    15. 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.
    16. Li Tao & Lingnan Tai & Maozai Tian, 2023. "Quantile regression for static panel data models with time-invariant regressors," PLOS ONE, Public Library of Science, vol. 18(8), pages 1-30, August.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. Xiaohong Chen & Gaosheng Ju & Qi Li, 2025. "A Simple Quantile Regression Model Linking Micro Outcomes to Macro Covariates," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 66(3), pages 1341-1362, August.
    25. 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.
    26. Antonio F. Galvao & Jiaying Gu & Stanislav Volgushev, 2018. "On the Unbiased Asymptotic Normality of Quantile Regression with Fixed Effects," Papers 1807.11863, arXiv.org, revised Feb 2020.
    27. Mustapha Mukhtar & Idris Abdullahi Abdulqadir, 2025. "The Impact of Globalization on Economic Growth in Sub-Saharan Africa: Evidence from the Threshold Effect Regression," Economies, MDPI, vol. 13(9), pages 1-18, August.
    28. Antonio F. Galvao & Carlos Lamarche & Thomas Parker, 2025. "Partitioned Wild Bootstrap for Panel Data Quantile Regression," Papers 2507.18494, arXiv.org.
    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. Bresson, Georges & Lacroix, Guy & Arshad Rahman, Mohammad, 2020. "Bayesian Panel Quantile Regression for Binary Outcomes with Correlated Random Effects: An Application on Crime Recidivism in Canada," IZA Discussion Papers 12928, IZA Network @ LISER.
    31. Harding, Matthew & Lamarche, Carlos, 2013. "Penalized Quantile Regression with Semiparametric Correlated Effects: Applications with Heterogeneous Preferences," IZA Discussion Papers 7741, IZA Network @ LISER.
    32. Liang Chen & Yulong Huo, 2019. "A Simple Estimator for Quantile Panel Data Models Using Smoothed Quantile Regressions," Papers 1911.04729, arXiv.org.
    33. Junlong Feng, 2019. "Regularized Quantile Regression with Interactive Fixed Effects," Papers 1911.00166, arXiv.org, revised Mar 2021.
    34. 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).
    35. 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.
    36. Brantly Callaway & Tong Li, 2017. "Quantile Treatment Effects in Difference in Differences Models with Panel Data," DETU Working Papers 1701, Department of Economics, Temple University.
    37. 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.
    38. 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).
    39. Christis Katsouris, 2023. "Optimal Estimation Methodologies for Panel Data Regression Models," Papers 2311.03471, arXiv.org, revised Nov 2023.

  20. 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. 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.
    2. Olga Chiappinelli & Ambrogio Dalò & Leonardo M. Giuffrida, 2024. "The greener, the better? Evidence from government contractors," UB School of Economics Working Papers 2024/474, University of Barcelona School of Economics.
    3. Audrey Guo & Rodrigo Carril, 2024. "The Impact of Preference Programs in Public Procurement: Evidence from Veteran Set-Asides," Working Papers 1417, Barcelona School of Economics.
    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.
    5. 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.
    6. Olga Chiappinelli & Ambrogio Dalò & Leonardo M. Giuffrida & Vitezslav Titl, 2025. "The Greener, the Better? Evidence from Government Contractors," CESifo Working Paper Series 11696, CESifo.
    7. Chiappinelli, Olga & Dalò, Ambrogio & Giuffrida, Leonardo M., 2024. "The greener, the better? Evidence from government contractors," ZEW Discussion Papers 24-060, ZEW - Leibniz Centre for European Economic Research.

  21. 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.
  22. 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.
    2. Chen Gang & He Sha & Muhammad Umar Farooq & Syed Ahtsham Ali & Muhammad Nadeem & Fatima Gulzar & Muhammad Nauman Abbasi, 2022. "The helix of CO2, household income, and oil pricing under the assumption of Keynesian consumption function: A policy-mix scenario of oil-importing South Asia for SDGs-2030," PLOS ONE, Public Library of Science, vol. 17(4), pages 1-16, April.
    3. Bosede Ngozi Adeleye & Aminat Olayinka Olohunlana & Cleopatra Oluseye Ibukun & Titilayo Soremi & Barnabas Suleiman, 2022. "Mortality rate, carbon emissions, renewable energy and per capita income nexus in Sub-Saharan Africa," PLOS ONE, Public Library of Science, vol. 17(9), pages 1-19, September.

  23. 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. 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.
    2. Frantisek Cech & Jozef Barunik, 2017. "Measurement of Common Risk Factors: A Panel Quantile Regression Model for Returns," Papers 1708.08622, arXiv.org.
    3. Yongpei Wang & Jieru Yang & Jinwei Chen & Qian Zhang, 2022. "Environmental pollution and population distribution among districts and counties: Evidence from prefecture-level cities in China," Energy & Environment, , vol. 33(7), pages 1346-1368, November.
    4. 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.
    5. 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.
    6. Foureaux Koppensteiner, Martin, 2014. "Automatic grade promotion and student performance: Evidence from Brazil," Journal of Development Economics, Elsevier, vol. 107(C), pages 277-290.
    7. Ohikhuare, Obaika M. & Khan, Nasir & Saidi, Kais, 2025. "How does international capital flows drive green technological innovation in emerging and developed markets?," Research in International Business and Finance, Elsevier, vol. 77(PA).
    8. 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.
    9. 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).
    10. 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.
    11. 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.
    12. 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.
    13. 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).
    14. Victor Chernozhukov & Christian Hansen, 2013. "Quantile Models with Endogeneity," Papers 1303.7050, arXiv.org.
    15. 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.
    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. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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).
    22. 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.
    23. 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.
    24. Agnese, Paolo & Arduino, Francesca Romana & Bruno, Emma & Vento, Gianfranco Antonio, 2024. "On the road to sustainability: The role of board characteristics in driving ESG performance in Africa," Socio-Economic Planning Sciences, Elsevier, vol. 95(C).
    25. 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.
    26. 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).
    27. 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).

  24. 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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Eibinger, Tobias & Deixelberger, Beate & Manner, Hans, 2024. "Panel data in environmental economics: Econometric issues and applications to IPAT models," Journal of Environmental Economics and Management, Elsevier, vol. 125(C).
    6. Timothy Neal, 2016. "Multidimensional Parameter Heterogeneity in Panel Data Models," Discussion Papers 2016-15, School of Economics, The University of New South Wales.
    7. 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.
    8. 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.
    9. Nayoung Lee & Hyungsik Roger Moon & Martin Weidner, 2026. "Analysis of interactive fixed effects dynamic linear panel regression with measurement error," Papers 2605.02311, arXiv.org.
    10. 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.
    11. Lena Boneva & James CLoyne & Martin Weale & Tomasz Wieladek, 2016. "Firms’ expectations and price-setting: evidence from micro data," Discussion Papers 48, Monetary Policy Committee Unit, Bank of England.
    12. Boundi-Chraki, Fahd & Perrotini-Hernández, Ignacio, 2025. "Re-examining the automation-employment nexus from a classical political economy approach," Structural Change and Economic Dynamics, Elsevier, vol. 75(C), pages 32-51.
    13. 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.
    14. 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.
    15. Chen, Jia & Cui, Guowei & Sarafidis, Vasilis & Yamagata, Takashi, 2025. "IV Estimation of Heterogeneous Spatial Dynamic Panel Models with Interactive Effects," MPRA Paper 123497, University Library of Munich, Germany.
    16. Temple, Jonathan & Van de Sijpe, Nicolas, 2017. "Foreign aid and domestic absorption," Journal of International Economics, Elsevier, vol. 108(C), pages 431-443.
    17. 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.
    18. Sébastien Mary, 2026. "Revisiting US food aid and civil conflict," Empirical Economics, Springer, vol. 70(3), pages 1-31, March.
    19. T. De Groote & G. Everaert, 2011. "Common Correlated Effects Estimation of Dynamic Panels with Cross-Sectional Dependence," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 11/723, Ghent University, Faculty of Economics and Business Administration.
    20. 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. 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.
    22. Kapetanios, G. & Price, S. & Tasiou, M. & Ventouri, A., 2020. "State-level wage Phillips curves," Working Papers 20/08, Department of Economics, City St George's, University of London.
    23. 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.
    24. Hugo Freeman & Martin Weidner, 2021. "Linear Panel Regressions with Two-Way Unobserved Heterogeneity," Papers 2109.11911, arXiv.org, revised Aug 2022.
    25. 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.
    26. 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.
    27. Ignace De Vos & Gerdie Everaert & Vasilis Sarafidis, 2021. "A method for evaluating the rank condition for CCE estimators," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 21/1013, Ghent University, Faculty of Economics and Business Administration.
    28. 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.
    29. Jiang, Bin & Yang, Yanrong & Gao, Jiti & Hsiao, Cheng, 2021. "Recursive estimation in large panel data models: Theory and practice," Journal of Econometrics, Elsevier, vol. 224(2), pages 439-465.
    30. Vasilis Sarafidis & Tom Wansbeek, 2012. "Cross-Sectional Dependence in Panel Data Analysis," Econometric Reviews, Taylor & Francis Journals, vol. 31(5), pages 483-531, September.

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

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    1. 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.
    2. Niimi, Yoko & Fang, Zheng, 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.
    3. Haddou, Samira, 2024. "Determinants of CDS in core and peripheral European countries: A comparative study during crisis and calm periods," The North American Journal of Economics and Finance, Elsevier, vol. 71(C).
    4. 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.
    5. 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.
    6. Hartley, Robert Paul & Lamarche, Carlos, 2017. "Behavioral Responses and Welfare Reform: Evidence from a Randomized Experiment," IZA Discussion Papers 10905, IZA Network @ LISER.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. Natalya Presman & Tanya Suhoy, 2024. "How have government housing programs affected developers' bids in Israel Land Authority land tenders?," Bank of Israel Working Papers 2024.08, Bank of Israel.
    13. 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.
    14. Aman Ullah & Tao Wang & Weixin Yao, 2021. "Modal regression for fixed effects panel data," Empirical Economics, Springer, vol. 60(1), pages 261-308, January.
    15. 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.
    16. Sottile, Gianluca & Frumento, Paolo, 2022. "Robust estimation and regression with parametric quantile functions," Computational Statistics & Data Analysis, Elsevier, vol. 171(C).
    17. Bahram Adrangi & Saman Hatamerad & Madhuparna Kolay & Kambiz Raffiee, 2025. "Economic and Policy Uncertainties and Firm Value: The Case of Consumer Durable Goods," Papers 2506.07476, arXiv.org.
    18. Dolado, Juan J & Chen, Liang & Gonzalo, Jesus, 2018. "Quantile Factor Models," CEPR Discussion Papers 12716, Centre for Economic Policy Research.
    19. Tooba Pervaiz Banday & Ekrem Erdem, 2024. "ICT and declining labor productivity in OECD," SN Business & Economics, Springer, vol. 4(3), pages 1-19, March.
    20. 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.
    21. 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.
    22. Alejo Javier, 2026. "A Simple Approach to Simultaneous Quantile Regression under Partial Homogeneity Constraints," Journal of Econometric Methods, De Gruyter, vol. 15(1), pages 1-17.
    23. Bartelsmann, Eric & Dobbelaere, Sabien & Peters, Bettina, 2014. "Allocation of human capital and innovation at the frontier: Firm-level evidence on Germany and the Netherlands," ZEW Discussion Papers 14-064, ZEW - Leibniz Centre for European Economic Research.
    24. Le, Thai Hong & Mai, Minh Lam & Nguyen, Mai Quynh Thi & Nguyen, Anh Phuong & Do, Chi Phuong, 2025. "Examining the role of environmental tax, green innovation, and digital financial inclusion for energy transition: Evidence from OECD countries," Research in Economics, Elsevier, vol. 79(1).
    25. Audi, Marc & Ahmad, Khalil & Poulin, Marc & Ali, Amjad, 2025. "From Globalization to Innovation: Investigating the impact of R&D, Internet Penetration, and Economic Factors on Digitalization in BRICS," MPRA Paper 124396, University Library of Munich, Germany.
    26. Victor Chernozhukov & Iv'an Fern'andez-Val & Martin Weidner, 2018. "Network and Panel Quantile Effects Via Distribution Regression," Papers 1803.08154, arXiv.org, revised Jun 2020.
    27. Emmanuel Ezekiel Mwanjilinji & Twahil Hemed Shakiru & Fei-Ming Huang, 2025. "The Role of Credit Risk in Shaping the Profitability of the Banking Sector in the World's Largest Economies: Evidence from Panel Quantile Regression," SN Business & Economics, Springer, vol. 5(11), pages 1-30, November.
    28. Śmiech, Sławomir & Karpinska, Lilia & Bouzarovski, Stefan, 2025. "Impact of energy transitions on energy poverty in the European Union," Renewable and Sustainable Energy Reviews, Elsevier, vol. 211(C).
    29. 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.
    30. Frantisek Cech & Jozef Barunik, 2017. "Measurement of Common Risk Factors: A Panel Quantile Regression Model for Returns," Papers 1708.08622, arXiv.org.
    31. Fernando Rios-Avila & Andrey Ramos & Gustavo Canavire-Bacarreza & Leonardo Siles, 2026. "Estimation and Inference in Quantile Regressions with Multiple Fixed Effects," International Center for Public Policy Working Paper Series, at AYSPS, GSU paper2615, International Center for Public Policy, Andrew Young School of Policy Studies, Georgia State University.
    32. Huang, Shiwei & Chen, Yu & Hu, Jie & Zhang, Weiping, 2026. "Dynamic panel data quantile regression with network-linked fixed effects," Journal of Econometrics, Elsevier, vol. 253(C).
    33. 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.
    34. Andrii Babii & Ryan T. Ball & Eric Ghysels & Jonas Striaukas, 2020. "Machine Learning Panel Data Regressions with Heavy-tailed Dependent Data: Theory and Application," Papers 2008.03600, arXiv.org, revised Nov 2021.
    35. Harold D. Chiang & Antonio F. Galvao & Chia-Min Wei, 2026. "Panel Quantile Regression with Common Shocks," Papers 2602.19201, arXiv.org, revised Jun 2026.
    36. 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.
    37. 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).
    38. 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).
    39. Bounie, David & Camara, Youssouf, 2020. "Card-sales response to merchant contactless payment acceptance," Journal of Banking & Finance, Elsevier, vol. 119(C).
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    45. Amadou Barry & Karim Oualkacha & Arthur Charpentier, 2021. "Weighted asymmetric least squares regression with fixed-effects," Papers 2108.04737, arXiv.org.
    46. 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.
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    48. Javier Alejo, 2012. "Relación de Kuznets en América Latina. Explorando más allá de la media condicional," CEDLAS, Working Papers 0129, CEDLAS, Universidad Nacional de La Plata.
    49. Carlos Lamarche & Thomas Parker, 2020. "Wild Bootstrap Inference for Penalized Quantile Regression for Longitudinal Data," Papers 2004.05127, arXiv.org, revised May 2022.
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    136. Jagjeevan Kanoujiya & Bhakti Agarwal & Shailesh Rastogi & Sanchal Tarode & Smita Bodne, 2026. "Does competitive pressures affect the Indian SMEs industry 4.O adoption: using quantile regression analysis," Journal of Innovation and Entrepreneurship, Springer, vol. 15(1), pages 1-21, December.
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    138. Travis A. Smith & Eliza M. Mojduszka & Shun Chen, 2021. "Did the New School Meal Standards Improve the Overall Quality of Children's Diets?," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 43(4), pages 1366-1384, December.
    139. 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).
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    141. Roger Koenker, 2017. "Quantile regression 40 years on," CeMMAP working papers CWP36/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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    143. 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.
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    146. 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.
    147. Sena Kimm Gnangnon, 2023. "Effect of the Shadow Economy on Tax Reform in Developing Countries," Economies, MDPI, vol. 11(3), pages 1-49, March.
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    150. 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.
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    167. David Powell, 2022. "Quantile regression with nonadditive fixed effects," Empirical Economics, Springer, vol. 63(5), pages 2675-2691, November.
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    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. David Powell, 2010. "Unconditional Quantile Treatment Effects in the Presence of Covariates," Working Papers WR-816, RAND Corporation.
    6. Stefano Bianchini & Federico Tamagni & Gabriele Pellegrino, 2016. "Innovation strategies and firm growth," Working Papers 2016/10, Institut d'Economia de Barcelona (IEB).
    7. Frantisek Cech & Jozef Barunik, 2017. "Measurement of Common Risk Factors: A Panel Quantile Regression Model for Returns," Papers 1708.08622, arXiv.org.
    8. 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.
    9. Spyridon Boikos & Theodore Panagiotidis & Georgios Voucharas, 2022. "Financial Development, Reforms and Growth," Discussion Paper Series 2022_07, Department of Economics, University of Macedonia, revised Sep 2022.
    10. Claude Diebolt & Tapas Mishra & Faustine Perrin, 2015. "Did Gender-Bias Matter in the Quantity-Quality Trade-off in the 19th Century France?," Working Papers 04-15, Association Française de Cliométrie (AFC).
    11. Alessia Matano & Paolo Naticchioni, 2011. "Rent Sharing as a Driver of the Glass Ceiling Effect," Working Papers - Dipartimento di Economia 12-DEISFOL, Dipartimento di Economia, Sapienza University of Rome, revised 2011.
    12. 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).
    13. 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.
    14. Mohammad Ashraful Ferdous Chowdhury & Muhammad Salah Uddin & Zobayer Ahmed & Md Amirul Islam, 2026. "Circular Economy, Institutional Quality, and Sovereign Credit Risk Nexus: Evidence From European Countries," Business Strategy and the Environment, Wiley Blackwell, vol. 35(2), pages 2469-2481, February.
    15. Arribas, Iván & Peiró-Palomino, Jesús & Tortosa-Ausina, Emili, 2020. "Is full banking integration desirable?," Journal of Banking & Finance, Elsevier, vol. 112(C).
    16. Boundioa, Jacques & Diallo, Souleymane, 2025. "Does financial development improve the effect of public health expenditure on out-of-pocket payments for healthcare in the WAEMU?," Journal of Policy Modeling, Elsevier, vol. 47(1), pages 228-249.
    17. 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, IZA Network @ LISER.
    18. 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).
    19. Lamarche, Carlos, 2013. "Industry-Wide Work Rules and Productivity: Evidence from Argentine Union Contract Data," IZA Discussion Papers 7673, IZA Network @ LISER.
    20. 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).
    21. 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.
    22. Li Tao & Lingnan Tai & Maozai Tian, 2023. "Quantile regression for static panel data models with time-invariant regressors," PLOS ONE, Public Library of Science, vol. 18(8), pages 1-30, August.
    23. 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.
    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. 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.
    26. 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).
    27. 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).
    28. 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.
    29. 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.
    30. 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).
    31. 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).
    32. Herman Sahni & Christian Nsiah & Bichaka Fayissa, 2023. "Tourism specialization, growth stage, and economic growth," Tourism Economics, , vol. 29(6), pages 1533-1550, September.
    33. 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.
    34. 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.
    35. Okombi, Idrys Fransmel & Mampieme, Vaccili Belneche, 2024. "Cyclicality of public debt in developing countries: Does dependence on natural resources matter?," Resources Policy, Elsevier, vol. 96(C).
    36. 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.
    37. Harding, Matthew & Lamarche, Carlos, 2012. "Estimating and Testing a Quantile Regression Model with Interactive Effects," IZA Discussion Papers 6802, IZA Network @ LISER.
    38. David Powell & Joachim Wagner, 2014. "The exporter productivity premium along the productivity distribution: evidence from quantile regression with nonadditive firm fixed effects," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 150(4), pages 763-785, November.
    39. Ilin, Cornelia & Shi, Guanming, "undated". "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.
    40. 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.
    41. 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.
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  27. 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.
  28. 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. Frantisek Cech & Jozef Barunik, 2017. "Measurement of Common Risk Factors: A Panel Quantile Regression Model for Returns," Papers 1708.08622, arXiv.org.
    2. Andrés Rodríguez-Pose & Rosalie Henry de Frahan, 2024. "Does private education pay off?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 73(4), pages 1409-1434, December.
    3. Lamarche, Carlos, 2013. "Industry-Wide Work Rules and Productivity: Evidence from Argentine Union Contract Data," IZA Discussion Papers 7673, IZA Network @ LISER.
    4. 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.
    5. 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.
    6. 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.
    7. Arulampalam, Wiji & Naylor, Robin A. & Smith, Jeremy, 2012. "Am I missing something? The effects of absence from class on student performance," Economics of Education Review, Elsevier, vol. 31(4), pages 363-375.
    8. 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.
    9. 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).

  29. 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. Lamarche, Carlos, 2013. "Industry-Wide Work Rules and Productivity: Evidence from Argentine Union Contract Data," IZA Discussion Papers 7673, IZA Network @ LISER.
    2. Cerro, Ana María & Ortega, Ana Carolina, 2012. "Sources of Regional Crime Persistence Argentina 1980-2008," MPRA Paper 44482, University Library of Munich, Germany.
    3. 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.
    4. Marukawa, Tomoo, 2017. "Regional unemployment disparities in China," Economic Systems, Elsevier, vol. 41(2), pages 203-214.

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