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Carlos Lamarche

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

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

    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. 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, 2024. "Bootstrap Inference for Panel Data Quantile Regression," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(2), pages 628-639, April.
    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).

  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. Paulo M.M. Rodrigues & Matei Demetrescu, 2022. "Cross-Sectional Error Dependence in Panel Quantile Regressions," Working Papers w202213, Banco de Portugal, Economics and Research Department.
    2. Demetrescu, Matei & Hosseinkouchack, Mehdi & Rodrigues, Paulo M. M., 2023. "Tests of no cross-sectional error dependence in panel quantile regressions," Ruhr Economic Papers 1041, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    3. 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.
    4. Gkillas, Konstantinos & Konstantatos, Christoforos & Papathanasiou, Spyros & Wohar, Mark, 2023. "Estimation of value at risk for copper," Journal of Commodity Markets, Elsevier, vol. 32(C).
    5. Giacomo Novelli, 2022. "Energy Dependency and Long-Run Growth," Working Papers 2022.42, Fondazione Eni Enrico Mattei.
    6. Novelli, Giacomo, 2022. "Energy Dependency and Long-Run Growth," FEEM Working Papers 329650, Fondazione Eni Enrico Mattei (FEEM).
    7. 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.
    8. Ando, Tomohiro & Bai, Jushan & Li, Kunpeng & Song, Yong, 2025. "Bayesian inference for dynamic spatial quantile models with interactive effects," MPRA Paper 123815, University Library of Munich, Germany.
    9. David Powell, 2022. "Quantile regression with nonadditive fixed effects," Empirical Economics, Springer, vol. 63(5), pages 2675-2691, November.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. Razzaq, Asif & Ajaz, Tahseen & Li, Jing Claire & Irfan, Muhammad & Suksatan, Wanich, 2021. "Investigating the asymmetric linkages between infrastructure development, green innovation, and consumption-based material footprint: Novel empirical estimations from highly resource-consuming economi," Resources Policy, Elsevier, vol. 74(C).
    15. 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.
    16. 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).
    17. 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.
    18. Christis Katsouris, 2023. "Optimal Estimation Methodologies for Panel Data Regression Models," Papers 2311.03471, arXiv.org, revised Nov 2023.
    19. Helena Chuliá & Ignacio Garrón & Jorge M. Uribe, 2021. ""Vulnerable Funding in the Global Economy"," IREA Working Papers 202106, University of Barcelona, Research Institute of Applied Economics, revised Mar 2021.
    20. 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.
    21. 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.
    22. Cepoi, Cosmin-Octavian, 2020. "Asymmetric dependence between stock market returns and news during COVID-19 financial turmoil," Finance Research Letters, Elsevier, vol. 36(C).
    23. 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. Lamarche, Carlos & Parker, Thomas, 2023. "Wild bootstrap inference for penalized quantile regression for longitudinal data," Journal of Econometrics, Elsevier, vol. 235(2), pages 1799-1826.
    2. Babii, Andrii & Ball, Ryan T. & Ghysels, Eric & Striaukas, Jonas, 2023. "Machine learning panel data regressions with heavy-tailed dependent data: Theory and application," Journal of Econometrics, Elsevier, vol. 237(2).

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

    Cited by:

    1. Marianne Simonsen & Lars Skipper & Jeffrey A. Smith, 2025. "Welfare Reform: Consequences for the Children," Papers 2506.03927, arXiv.org.
    2. Kunz, Johannes S. & Zhu, Anna, 2023. "Welfare Reform and Migrant's Long-Term Labor Market Integration," IZA Discussion Papers 16285, Institute of Labor Economics (IZA).
    3. Gordon B. Dahl & Anne C. Gielen, 2021. "Intergenerational Spillovers in Disability Insurance," American Economic Journal: Applied Economics, American Economic Association, vol. 13(2), pages 116-150, April.
    4. 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.
    5. Jonathan Davis & Bhashkar Mazumder, 2017. "The Decline in Intergenerational Mobility After 1980," Working Paper Series WP-2017-5, Federal Reserve Bank of Chicago, revised 14 Jan 2022.
    6. 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.
    7. Cobb-Clark, Deborah A. & Dahmann, Sarah C. & Salamanca, Nicolás & Zhu, Anna, 2022. "Intergenerational disadvantage: Learning about equal opportunity from social assistance receipt," Labour Economics, Elsevier, vol. 79(C).
    8. 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.
    9. Gabriela Galassi & David Koll & Lukas Mayr, 2019. "The Intergenerational Correlation of Employment: Is There a Role for Work Culture?," Staff Working Papers 19-33, Bank of Canada.
    10. 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.
    11. Dhaval Dave & Hope Corman & Ariel Kalil & Ofira Schwartz-Soicher & Nancy E. Reichman, 2019. "Effects of Maternal Work Incentives on Adolescent Social Behaviors," Working Papers 2019-026, Human Capital and Economic Opportunity Working Group.
    12. 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.
    13. 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, Institute of Labor Economics (IZA).
    14. 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.
    15. 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).
    16. 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.
    17. Feichtmayer, Jennifer & Riphahn, Regina T., 2023. "Intergenerational Transmission of Welfare Benefit Receipt: Evidence from Germany," IZA Discussion Papers 16660, Institute of Labor Economics (IZA).
    18. 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.
    19. Gabrielle Pepin, 2020. "The Effects of Welfare Time Limits on Access to Financial Resources: Evidence from the 2010s," Upjohn Working Papers 20-329, W.E. Upjohn Institute for Employment Research.
    20. 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.
    21. 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.
    22. Fletcher, Jason & Jajtner, Katie M., 2023. "Multidimensional intergenerational mobility," Social Science & Medicine, Elsevier, vol. 328(C).
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    28. 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.
    29. Monique De Haan & Ragnhild C. Schreiner, 2018. "The Intergenerational Transmission of Welfare Dependency," RF Berlin - CReAM Discussion Paper Series 1810, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
    30. 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).
    31. Adrienne M. Lucas & Patrick J. McEwan & David Torres Irribarra, 2025. "Targeted Education Transfers Reduced Long-Run and Intergenerational Ethnic Inequality in Chile," NBER Working Papers 33798, National Bureau of Economic Research, Inc.
    32. 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.
    33. 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.
    34. Galassi, Gabriela & Koll, David & Mayr, Lukas, 2019. "The Intergenerational Correlation of Employment: Is There a Role for Work Culture?," IZA Discussion Papers 12595, Institute of Labor Economics (IZA).
    35. 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.
    36. 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.
    37. Vaughn, Cody N., 2023. "Welfare reform and childhood health status and utilization," Children and Youth Services Review, Elsevier, vol. 150(C).
    38. Cobb-Clark, Deborah A. & Dahmann, Sarah C. & Gielen, Anne C., 2020. "The Intergenerational Effects of Requiring Unemployment Benefit Recipients to Engage in Non-Search Activities," IZA Discussion Papers 13618, Institute of Labor Economics (IZA).
    39. Ding, Xiaozhou, 2021. "College education and internal migration in China," China Economic Review, Elsevier, vol. 69(C).
    40. Galassi, Gabriela & Koll, David & Mayr, Lukas, 2024. "The intergenerational correlation of employment: Mothers as role models?," Labour Economics, Elsevier, vol. 90(C).
    41. Buckles, Kasey, 2017. "Maternal Socio-Economic Status and the Well-Being of the Next Generation(s)," IZA Discussion Papers 10714, Institute of Labor Economics (IZA).
    42. 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.

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

    Cited by:

    1. 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).
    2. 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.

  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. 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.
    2. Nyström, Johan & Wikström, Daniel, 2019. "Empirical analysis of unbalanced bidding on Swedish roads," Working Papers 2019:4, Swedish National Road & Transport Research Institute (VTI).

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

    Cited by:

    1. 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.
    2. Carlos Lamarche, 2015. "Collective bargaining in developing countries," IZA World of Labor, Institute of Labor Economics (IZA), pages 183-183, September.
    3. Patrice Laroche, 2020. "Unions, Collective Bargaining and Firm Performance," Post-Print hal-03058266, HAL.

  9. Harding, Matthew & Lamarche, Carlos, 2013. "Penalized Quantile Regression with Semiparametric Correlated Effects: Applications with Heterogeneous Preferences," IZA Discussion Papers 7741, Institute of Labor Economics (IZA).

    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. Hartley, Robert Paul & Lamarche, Carlos, 2017. "Behavioral Responses and Welfare Reform: Evidence from a Randomized Experiment," IZA Discussion Papers 10905, Institute of Labor Economics (IZA).
    5. Jiaying Gu & Stanislav Volgushev, 2018. "Panel Data Quantile Regression with Grouped Fixed Effects," Papers 1801.05041, arXiv.org, revised Aug 2018.
    6. Xin Liu, 2024. "A quantile-based nonadditive fixed effects model," Papers 2405.03826, arXiv.org.
    7. 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.
    8. 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.
    9. Song, Xiaojun & Yang, Zixin, 2025. "Unified specification tests in partially linear quantile regression models," Statistics & Probability Letters, Elsevier, vol. 216(C).
    10. 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.
    11. 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).
    12. 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.
    13. 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.
    14. Gu, Jiaying & Volgushev, Stanislav, 2019. "Panel data quantile regression with grouped fixed effects," Journal of Econometrics, Elsevier, vol. 213(1), pages 68-91.
    15. 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).
    16. 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).

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

    Cited by:

    1. Paulo M.M. Rodrigues & Matei Demetrescu, 2022. "Cross-Sectional Error Dependence in Panel Quantile Regressions," Working Papers w202213, Banco de Portugal, Economics and Research Department.
    2. Demetrescu, Matei & Hosseinkouchack, Mehdi & Rodrigues, Paulo M. M., 2023. "Tests of no cross-sectional error dependence in panel quantile regressions," Ruhr Economic Papers 1041, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    3. 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.
    4. 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.
    5. Jonathan R. W. Temple & Nicolas Van de Sijpe, 2014. "Foreign Aid and Domestic Absorption," CSAE Working Paper Series 2014-01, Centre for the Study of African Economies, University of Oxford.
    6. 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.
    7. Chen, Liang, 2015. "Set identification of panel data models with interactive effects via quantile restrictions," Economics Letters, Elsevier, vol. 137(C), pages 36-40.
    8. 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.
    9. 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.
    10. Frantisek Cech & Jozef Barunik, 2017. "Measurement of Common Risk Factors: A Panel Quantile Regression Model for Returns," Papers 1708.08622, arXiv.org.
    11. 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.
    12. Hartley, Robert Paul & Lamarche, Carlos, 2017. "Behavioral Responses and Welfare Reform: Evidence from a Randomized Experiment," IZA Discussion Papers 10905, Institute of Labor Economics (IZA).
    13. Liang Chen & Yulong Huo, 2019. "A Simple Estimator for Quantile Panel Data Models Using Smoothed Quantile Regressions," Papers 1911.04729, arXiv.org.
    14. 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).
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. Lena Boneva (Körber) & Oliver Linton, 2017. "A discrete choice model for large heterogeneous panels with interactive fixed effects with an application to the determinants of corporate bond issuance," CeMMAP working papers 02/17, Institute for Fiscal Studies.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. Junlong Feng, 2019. "Regularized Quantile Regression with Interactive Fixed Effects," Papers 1911.00166, arXiv.org, revised Mar 2021.
    26. 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.
    27. 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.
    28. Nadine Levratto & Aziza Garsaa & Luc Tessier, 2013. "La Corse est-elle soluble dans le modèle méditerranéen ? Une analyse à partir d’une régression quantile sur données d’entreprises en panel entre 2004 et 2010. Is the Corsican economy a part of the Med," EconomiX Working Papers 2013-20, University of Paris Nanterre, EconomiX.
    29. 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.
    30. 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.
    31. Liang Chen & Juan Jose Dolado & Jesus Gonzalo, 2019. "Quantile Factor Models," Papers 1911.02173, arXiv.org, revised Sep 2020.
    32. Badi Baltagi & Peter Egger, 2016. "Estimation of structural gravity quantile regression models," Empirical Economics, Springer, vol. 50(1), pages 5-15, February.
    33. 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.
    34. 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).
    35. 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.
    36. 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.
    37. 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.
    38. 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.
    39. 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.
    40. 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.
    41. 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.
    42. Nadine Levratto & Aziza Garsaa & Luc Tessier, 2013. "La Corse est-elle soluble dans le modèle méditerranéen ?," Working Papers hal-00842059, HAL.
    43. 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.
    44. Andres Sagner, 2020. "High Dimensional Quantile Factor Analysis," Working Papers Central Bank of Chile 886, Central Bank of Chile.
    45. Boudt, Kris & Heyndels, Ewoud, 2024. "Robust interactive fixed effects," Econometrics and Statistics, Elsevier, vol. 29(C), pages 206-223.
    46. 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.
    47. Baruník, Jozef & Čech, František, 2021. "Measurement of common risks in tails: A panel quantile regression model for financial returns," Journal of Financial Markets, Elsevier, vol. 52(C).
    48. Ali Aghamohammadi, 2018. "Bayesian analysis of dynamic panel data by penalized quantile regression," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 27(1), pages 91-108, March.
    49. 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.
    50. 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. Rosa, Benjamin, 2019. "Affirmative Action Subcontracting Regulations in Dynamic Procurement Auctions," MPRA Paper 93065, University Library of Munich, Germany.
    2. 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.
    3. 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".
    4. Rosa, Benjamin, 2022. "Diversity versus Equity in Government Contracting," MPRA Paper 114765, University Library of Munich, Germany.
    5. Hojin Jung & Georgia Kosmopoulou & Robert Press & Richard Sicotte, 2022. "Subcontracting and the incidence of change orders in procurement contracts," Economic Inquiry, Western Economic Association International, vol. 60(1), pages 247-264, January.
    6. Rosa, Benjamin, 2016. "Subcontracting Requirements and the Cost of Government Procurement," MPRA Paper 77392, University Library of Munich, Germany.
    7. 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.
    8. Luigi Moretti & Paola Valbonesi, 2012. "Subcontracting in Public Procurement: An Empirical Investigation," "Marco Fanno" Working Papers 0154, Dipartimento di Scienze Economiche "Marco Fanno".
    9. Matilde Cappelletti & Leonardo M. Giuffrida, 2024. "Targeted Bidders in Government Tenders," CESifo Working Paper Series 11142, CESifo.
    10. 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.
    11. Deltas, George & Evenett, Simon, 2020. "Language as a barrier to entry: Foreign competition in Georgian public procurement," International Journal of Industrial Organization, Elsevier, vol. 73(C).
    12. 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.
    13. 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.
    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. Strömbäck, Elon, 2015. "Policy by Public Procurement: Opportunities and Pitfalls," Umeå Economic Studies 915, Umeå University, Department of Economics.

  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, Institute of Labor Economics (IZA).

    Cited by:

    1. Pablo Swedberg & Santiago Budria, 2015. "Education and earnings: how immigrants perform across the earnings distribution in Spain," Investigaciones de Economía de la Educación volume 10, in: Marta Rahona López & Jennifer Graves (ed.), Investigaciones de Economía de la Educación 10, edition 1, volume 10, chapter 42, pages 829-842, Asociación de Economía de la Educación.
    2. 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. 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.
    4. Budría, Santiago & Swedberg, Pablo & Fonseca, Marlene, 2016. "Returns to Schooling among Immigrants in Spain: A Quantile Regression Approach," IZA Discussion Papers 10064, Institute of Labor Economics (IZA).

  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. Dakshina Garfield De Silva & Marina Gertsberg & Rachel Pownall, 2016. "Market Evolution, Bidding Strategies, and Survival of Art Dealers," Working Papers 138739557, Lancaster University Management School, Economics Department.
    2. Lamy, Laurent & Patnam, Manasa & Visser, Michael, 2023. "Distinguishing incentive from selection effects in auction-determined contracts," Journal of Econometrics, Elsevier, vol. 235(2), pages 1172-1202.
    3. 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).
    4. Stéphane Saussier & Carine Staropoli & Anne Yvrande-Billon, 2009. "Public Private Agreements, Institutions and Competition : when Economic Theory meets Facts," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00429712, HAL.
    5. 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.
    6. 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.
    7. Barbosa, Klenio & Boyer, Pierre C., 2021. "Discrimination in Dynamic Procurement Design with Learning-by-doing," International Journal of Industrial Organization, Elsevier, vol. 77(C).
    8. 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.
    9. Matilde Cappelletti & Leonardo M. Giuffrida & Gabriele Rovigatti, 2022. "Procuring Survival," CESifo Working Paper Series 10124, CESifo.
    10. 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.
    11. Takano, Guillermo, 2021. "The competitive performance of public-private partnership markets. The case of unsolicited proposals in Peru," Utilities Policy, Elsevier, vol. 72(C).
    12. 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.
    13. 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).
    14. 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.
    15. 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".
    16. Jean Beuve & Marian Moszoro & Stéphane S. Saussier, 2024. "Rigidity in public contracts: Implications for renewal dynamics," Post-Print hal-04887903, HAL.
    17. Iossa, Elisabetta & Rey, Patrick & Waterson, Michael, 2019. "Organizing Competition for the Market," CEPR Discussion Papers 13461, C.E.P.R. Discussion Papers.
    18. 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.
    19. Dejan Makovšek & Adrian Bridge, 2021. "Procurement Choices and Infrastructure Costs," NBER Chapters, in: Economic Analysis and Infrastructure Investment, pages 277-327, National Bureau of Economic Research, Inc.
    20. Elisabetta Iossa & Michael Waterson, 2017. "Maintaining Competition in Recurrent Procurement Contracts: A case study on the London Bus Market," CEIS Research Paper 400, Tor Vergata University, CEIS, revised 24 Feb 2017.
    21. Bedri Kamil Onur Tas, 2014. "How to Achieve Efficiency in Public Procurement Auctions," EcoMod2014 6728, EcoMod.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. Fan Wu & Yi Xin, 2024. "Estimating Nonseparable Selection Models: A Functional Contraction Approach," Papers 2411.01799, arXiv.org, revised Feb 2025.
    28. Dakshina De Silva & Thomas Jeitschko & Georgia Kosmopoulou, 2009. "Entry and Bidding in Common and Private Value Auctions with an Unknown Number of Rivals," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 35(1), pages 73-93, September.
    29. 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).
    30. Hoekman, Bernard & Onur Taş, Bedri Kamil, 2024. "Discretion and public procurement outcomes in Europe," European Journal of Political Economy, Elsevier, vol. 82(C).
    31. 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.
    32. 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.
    33. 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.

  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. 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.
    2. 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.
    3. Carlos Lamarche, 2013. "Industry-wide work rules and productivity: evidence from Argentine union contract data," IZA Journal of Labor & Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 2(1), pages 1-25, December.
    4. 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.

  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. José R. Gamarra, 2006. "¿Cómo se comportan las tasas de desempleo en siete ciudades colombianas?," Revista de Economía del Rosario, Universidad del Rosario, December.
    2. 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.
    3. Herrera Gómez, Marcos, 2013. "Análisis de Estructuras Espaciales Persistentes. Desempleo Departamental en Argentina [Persistent Spatial Structure Analysis. Regional Unemployment in Argentina]," MPRA Paper 49407, University Library of Munich, Germany.

  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. 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.
    2. Marcus Alexander & Matthew Harding & Carlos Lamarche, 2009. "The Human Cost of Economic Crises," Discussion Papers 08-029, Stanford Institute for Economic Policy Research.
    3. Harding, Matthew & Lamarche, Carlos, 2009. "A quantile regression approach for estimating panel data models using instrumental variables," Economics Letters, Elsevier, vol. 104(3), pages 133-135, September.

Articles

  1. Lamarche, Carlos & Parker, Thomas, 2023. "Wild bootstrap inference for penalized quantile regression for longitudinal data," Journal of Econometrics, Elsevier, vol. 235(2), pages 1799-1826.
    See citations under working paper version above.
  2. 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 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.
  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.
    See citations under working paper version above.
  7. 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. Kris De Jaegher & Michal Soltes & Vitezslav Titl, 2023. "Easing Renegotiation Rules in Public Procurement: Evidence from a Policy Reform," CERGE-EI Working Papers wp757, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    2. 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).
    3. Hojin Jung & Georgia Kosmopoulou & Robert Press & Richard Sicotte, 2022. "Subcontracting and the incidence of change orders in procurement contracts," Economic Inquiry, Western Economic Association International, vol. 60(1), pages 247-264, January.
    4. 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.
    5. Martimort, David & Arve, Malin, 2023. "Auctioning Long-Term Projects under Financial Constraints," TSE Working Papers 23-1469, Toulouse School of Economics (TSE), revised May 2024.
    6. 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).

  8. 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.

  9. 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.
  10. 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 & Gabriele Rovigatti, 2022. "Procuring Survival," CESifo Working Paper Series 10124, CESifo.
    2. Hojin Jung & Georgia Kosmopoulou & Robert Press & Richard Sicotte, 2022. "Subcontracting and the incidence of change orders in procurement contracts," Economic Inquiry, Western Economic Association International, vol. 60(1), pages 247-264, January.
    3. B. Cesi & M. Lorusso, 2020. "Collusion in public procurement: the role of subcontracting," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 37(1), pages 251-265, April.
    4. 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).
    5. Rosa, Benjamin, 2016. "Subcontracting Requirements and the Cost of Government Procurement," MPRA Paper 77392, University Library of Munich, Germany.
    6. Matilde Cappelletti & Leonardo M. Giuffrida, 2024. "Targeted Bidders in Government Tenders," CESifo Working Paper Series 11142, CESifo.
    7. 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. 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.
  12. Matthew Harding & Carlos Lamarche, 2016. "Empowering Consumers Through Data and Smart Technology: Experimental Evidence on the Consequences of Time‐of‐Use Electricity Pricing Policies," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 35(4), pages 906-931, September.

    Cited by:

    1. Chakraborty, Chiranjit & Joseph, Andreas, 2017. "Machine learning at central banks," Bank of England working papers 674, Bank of England.
    2. Jacobsen, Grant D. & Stewart, James I., 2022. "How do consumers respond to price complexity? Experimental evidence from the power sector," Journal of Environmental Economics and Management, Elsevier, vol. 116(C).
    3. Harding, Matthew & Kettler, Kyle & Lamarche, Carlos & Ma, Lala, 2023. "The (alleged) environmental and social benefits of dynamic pricing," Journal of Economic Behavior & Organization, Elsevier, vol. 205(C), pages 574-593.
    4. Löschel, Andreas & Price, Michael Keith & Razzolini, Laura & Werthschulte, Madeline, 2022. "COVID-19 and the formation of energy conservation routines: Disentangling the relative importance of attention and income shocks," ZEW Discussion Papers 22-068, ZEW - Leibniz Centre for European Economic Research.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. Manuel Frondel & Gerhard Kussel, 2019. "Switching on Electricity Demand Response: Evidence for German Households," The Energy Journal, , vol. 40(5), pages 1-16, September.
    10. Federico A. Bugni & Joel L. Horowitz, 2018. "Permutation Tests for Equality of Distributions of Functional Data," Papers 1803.00798, arXiv.org, revised Jun 2021.
    11. Joshua Blonz & Karen Palmer & Casey J. Wichman & Derek C. Wietelman, 2025. "Smart Thermostats, Automation, and Time-Varying Prices," American Economic Journal: Applied Economics, American Economic Association, vol. 17(1), pages 90-125, January.
    12. Heather Hodges & Colin Kuehl & Sarah E. Anderson & Phillip J. Ehret & Cameron Brick, 2020. "How Managers Can Reduce Household Water Use Through Communication: A Field Experiment," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(4), pages 1076-1099, September.
    13. Vesely, Stepan, 2025. "Evidence on environmentally conscious consumers’ preferences for energy-use automation in Germany and Spain," Utilities Policy, Elsevier, vol. 92(C).
    14. 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.
    15. 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).
    16. Eoghan O'Neill & Melvyn Weeks, 2018. "Causal Tree Estimation of Heterogeneous Household Response to Time-Of-Use Electricity Pricing Schemes," Papers 1810.09179, arXiv.org, revised Oct 2019.
    17. 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.

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

    Cited by:

    1. 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.
    2. Alzate,David & Eliana Carranza & Duran-Franch,Joana & Truman G. Packard & Celina Proffen, 2024. "How Regulations Impact the Labor Market : A Review of the Literatures on Product and Labor Market Regulations," Policy Research Working Paper Series 10961, The World Bank.
    3. 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.

  14. 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, Institute of Labor Economics (IZA).
    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).

  15. 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 & 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.
    3. Steven D. Silver, 2016. "A QUAIDS Model of Need-Based Structure in U.S. Personal Consumption 2006–2012," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 44(3), pages 303-323, September.
    4. 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.

  16. 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.
  17. 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.
  18. Antonio F. Galvao & Carlos Lamarche & Luiz Renato Lima, 2013. "Estimation of Censored Quantile Regression for Panel Data With Fixed Effects," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 108(503), pages 1075-1089, September.

    Cited by:

    1. Victor Chernozhukov & Ivan Fernandez-Val & Martin Weidner, 2020. "Network and Panel Quantile Effects Via Distribution Regression," CeMMAP working papers CWP27/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. 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.
    3. Gaglianone, Wagner Piazza & Guillén, Osmani Teixeira de Carvalho & Figueiredo, Francisco Marcos Rodrigues, 2018. "Estimating inflation persistence by quantile autoregression with quantile-specific unit roots," Economic Modelling, Elsevier, vol. 73(C), pages 407-430.
    4. 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.
    5. 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.
    6. Brantly Callaway & Tong Li, 2019. "Quantile treatment effects in difference in differences models with panel data," Quantitative Economics, Econometric Society, vol. 10(4), pages 1579-1618, November.
    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.
    8. Antonio F. Galvao & Thomas Parker & Zhijie Xiao, 2024. "Bootstrap Inference for Panel Data Quantile Regression," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(2), pages 628-639, April.
    9. Liang Chen & Yulong Huo, 2019. "A Simple Estimator for Quantile Panel Data Models Using Smoothed Quantile Regressions," Papers 1911.04729, arXiv.org.
    10. 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.
    11. 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.
    12. 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.
    13. Georges Bresson & Guy Lacroix & Mohammad Arshad Rahman, 2020. "Bayesian Panel Quantile Regression for Binary Outcomes with Correlated Random Effects: An Application on Crime Recidivism in Canada," Papers 2001.09295, arXiv.org.
    14. Ayala, Diana & Nedeljkovic, Milan & Saborowski, Christian, 2017. "What slice of the pie? The corporate bond market boom in emerging economies," Journal of Financial Stability, Elsevier, vol. 30(C), pages 16-35.
    15. 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).
    16. 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.
    17. Junlong Feng, 2019. "Regularized Quantile Regression with Interactive Fixed Effects," Papers 1911.00166, arXiv.org, revised Mar 2021.
    18. 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.
    19. Galvao, Antonio F. & Kato, Kengo, 2016. "Smoothed quantile regression for panel data," Journal of Econometrics, Elsevier, vol. 193(1), pages 92-112.
    20. 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).
    21. 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.
    22. 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.
    23. 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.
    24. Harding, Matthew & Lamarche, Carlos, 2013. "Penalized Quantile Regression with Semiparametric Correlated Effects: Applications with Heterogeneous Preferences," IZA Discussion Papers 7741, Institute of Labor Economics (IZA).
    25. Christis Katsouris, 2023. "Optimal Estimation Methodologies for Panel Data Regression Models," Papers 2311.03471, arXiv.org, revised Nov 2023.
    26. 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.
    27. 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.
    28. 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.
    29. 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.
    30. 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.
    31. 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.
    32. 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.
    33. 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.
    34. 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.
    35. 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.

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

    Cited by:

    1. 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.
    2. 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.
    3. B. Cesi & M. Lorusso, 2020. "Collusion in public procurement: the role of subcontracting," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 37(1), pages 251-265, April.
    4. Elisabetta Iossa & Michael Waterson, 2017. "Maintaining Competition in Recurrent Procurement Contracts: A case study on the London Bus Market," CEIS Research Paper 400, Tor Vergata University, CEIS, revised 24 Feb 2017.
    5. 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.
    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. 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.

  20. 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.
  21. 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. 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.
    2. 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.
    3. Giacomo De Giorgi & Matthew Harding & Gabriel Vasconcelos, 2021. "Predicting Mortality from Credit Reports," Papers 2111.03662, arXiv.org.

  22. 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. 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).
    2. 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.
    3. Olivier Damette & Philippe Delacote, 2011. "On the economic factors of deforestation: what can we learn from quantile analysis?," Working Papers 1110, Chaire Economie du climat.
    4. Frantisek Cech & Jozef Barunik, 2017. "Measurement of Common Risk Factors: A Panel Quantile Regression Model for Returns," Papers 1708.08622, arXiv.org.
    5. 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.
    6. V. Chernozhukov & C. Hansen, 2013. "Quantile Models with Endogeneity," Annual Review of Economics, Annual Reviews, vol. 5(1), pages 57-81, May.
    7. 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.
    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. 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.
    10. 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).
    11. 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.
    12. Martin Foureaux Koppensteiner, 2011. "Automatic Grade Promotion and Student Performance: Evidence from Brazil," Discussion Papers in Economics 11/52, Division of Economics, School of Business, University of Leicester, revised Sep 2013.
    13. 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.
    14. 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.
    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.
    16. 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).
    17. 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.
    18. 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).
    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. 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).
    21. 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).
    22. 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.
    23. 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.
    24. 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.
    25. 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.

  23. 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. Gerdie Everaert & Tom De Groote, 2016. "Common Correlated Effects Estimation of Dynamic Panels with Cross-Sectional Dependence," Econometric Reviews, Taylor & Francis Journals, vol. 35(3), pages 428-463, March.
    2. Jonathan R. W. Temple & Nicolas Van de Sijpe, 2014. "Foreign Aid and Domestic Absorption," CSAE Working Paper Series 2014-01, Centre for the Study of African Economies, University of Oxford.
    3. 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.
    4. 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.
    5. Kapetanios, George & Price, Simon & Tasiou, Menelaos & Ventouri, Alexia, 2021. "State-level wage Phillips curves," Econometrics and Statistics, Elsevier, vol. 18(C), pages 1-11.
    6. 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.
    7. Sarafidis, Vasilis & Wansbeek, Tom, 2010. "Cross-sectional Dependence in Panel Data Analysis," MPRA Paper 20367, University Library of Munich, Germany.
    8. 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.
    9. Freeman, Hugo & Weidner, Martin, 2023. "Linear panel regressions with two-way unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 237(1).
    10. Bing Jiang & Yanrong Yang & Jiti Gao & Cheng Hsiao, 2017. "Recursive estimation in large panel data models: Theory and practice," Monash Econometrics and Business Statistics Working Papers 5/17, Monash University, Department of Econometrics and Business Statistics.
    11. 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.
    12. 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.
    13. 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.
    14. Hacioglu Hoke, Sinem & Kapetanios, George, 2017. "Common correlated effect cross-sectional dependence corrections for non-linear conditional mean panel models," Bank of England working papers 683, Bank of England.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. Boneva, Lena & CLoyne, James & Weale, Martin & Wieladek, Tomasz, 2016. "Firms’ expectations and price-setting: evidence from micro data," Discussion Papers 48, Monetary Policy Committee Unit, Bank of England.
    21. 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.
    22. Hyungsik Roger Roger Moon & Martin Weidner, 2013. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers 63/13, Institute for Fiscal Studies.
    23. Hugo Freeman & Martin Weidner, 2021. "Linear Panel Regressions with Two-Way Unobserved Heterogeneity," Papers 2109.11911, arXiv.org, revised Aug 2022.
    24. 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.
    25. Lee, Nayoung & Moon, Hyungsik Roger & Weidner, Martin, 2012. "Analysis of interactive fixed effects dynamic linear panel regression with measurement error," Economics Letters, Elsevier, vol. 117(1), pages 239-242.
    26. 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.
    27. 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).
    28. Hyungsik Roger Roger Moon & Martin Weidner, 2014. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers 47/14, Institute for Fiscal Studies.
    29. Hugo Freeman & Martin Weidner, 2021. "Linear panel regressions with two-way unobserved heterogeneity," CeMMAP working papers CWP39/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    30. Timothy Neal, 2018. "Multidimensional Parameter Heterogeneity in Panel Data Models," Discussion Papers 2016-15A, School of Economics, The University of New South Wales.
    31. 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.
    32. 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.
    33. 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.

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

    Cited by:

    1. Lijuan Huo & Tae-Hwan Kim & Yunmi Kim & Dong Jin Lee, 2014. "Testing for Autocorrelation in Quantile Regression Models," Working papers 2014rwp-76, Yonsei University, Yonsei Economics Research Institute.
    2. Eric Bartelsman & Sabien Dobbelaere & Bettina Peters, 2013. "Allocation of Human Capital and Innovation at the Frontier: Firm-level Evidence on Germany and the Netherlands," Tinbergen Institute Discussion Papers 13-095/VII, Tinbergen Institute.
    3. Victor Chernozhukov & Ivan Fernandez-Val & Martin Weidner, 2020. "Network and Panel Quantile Effects Via Distribution Regression," CeMMAP working papers CWP27/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Francisco Covas & Ben Rump & Egon Zakrajšek, 2013. "Stress-testing U.S. bank holding companies: a dynamic panel quantile regression approach," Finance and Economics Discussion Series 2013-55, Board of Governors of the Federal Reserve System (U.S.).
    5. Paolo Frumento & Matteo Bottai & Iv'an Fern'andez-Val, 2020. "Parametric Modeling of Quantile Regression Coefficient Functions with Longitudinal Data," Papers 2006.00160, arXiv.org.
    6. Manuel Arellano & Stéphane Bonhomme, 2015. "Nonlinear panel data estimation via quantile regressions," CeMMAP working papers 40/15, Institute for Fiscal Studies.
    7. 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.
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    136. 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).
    137. Korpi, Martin & Clark, William A.V., 2015. "Internal migration and human capital theory: To what extent is it selective?," Economics Letters, Elsevier, vol. 136(C), pages 31-34.
    138. Jiang, Hai & Zhang, Jinyi, 2017. "Bank capital buffer, franchise value, and risk heterogeneity in China," Research in International Business and Finance, Elsevier, vol. 42(C), pages 1455-1466.
    139. 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.
    140. Jasman Tuyon & Zamri Ahmad, 2021. "Dynamic risk attributes in Malaysia stock markets: Behavioural finance insights," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5793-5814, October.
    141. 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.
    142. Amadou Barry & Karim Oualkacha & Arthur Charpentier, 2023. "Alternative fixed-effects panel model using weighted asymmetric least squares regression," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(3), pages 819-841, September.
    143. Haylock, Michael, 2020. "Executives' short-term and long-term incentives - a distributional analysis," University of Tübingen Working Papers in Business and Economics 131, University of Tuebingen, Faculty of Economics and Social Sciences, School of Business and Economics.
    144. 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.
    145. 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.
    146. Xingcai Zhou & Jiangyan Wang, 2021. "Panel semiparametric quantile regression neural network for electricity consumption forecasting," Papers 2103.00711, arXiv.org.
    147. Gu, Jiaying & Volgushev, Stanislav, 2019. "Panel data quantile regression with grouped fixed effects," Journal of Econometrics, Elsevier, vol. 213(1), pages 68-91.
    148. Marc Audi & Marc Poulin & Khalil Ahmad & Amjad Ali, 2025. "Modeling Disaggregate Globalization to Carbon Emissions in BRICS: A Panel Quantile Regression Analysis," Sustainability, MDPI, vol. 17(6), pages 1-24, March.
    149. 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).
    150. Claudiu Tiberiu Albulescu & Matei Tămășilă & Ilie Mihai Tăucean, 2021. "The Nonlinear Relationship Between Firm Size and Growth in the Automotive Industry," Journal of Industry, Competition and Trade, Springer, vol. 21(3), pages 445-463, September.
    151. Maria Marino & Alessio Farcomeni, 2015. "Linear quantile regression models for longitudinal experiments: an overview," METRON, Springer;Sapienza Università di Roma, vol. 73(2), pages 229-247, August.
    152. David Powell, 2014. "Did the Economic Stimulus Payments of 2008 Reduce Labor Supply? Evidence from Quantile Panel Data Estimation," Working Papers WR-710-3, RAND Corporation.
    153. 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).
    154. Xie, Peijun & Jamaani, Fouad, 2022. "Does green innovation, energy productivity and environmental taxes limit carbon emissions in developed economies: Implications for sustainable development," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 66-78.
    155. 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.
    156. Hossain, Mohammad Razib & Dash, Devi Prasad & Das, Narasingha & Ullah, Ehsan & Hossain, Md. Emran, 2024. "Green energy transition in OECD region through the lens of economic complexity and environmental technology: A method of moments quantile regression perspective," Applied Energy, Elsevier, vol. 365(C).
    157. 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).
    158. 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.
    159. Jorge Eduardo Camusso & Ana Inés Navarro, 2021. "Asymmetries in aggregate income risk over the business cycle: evidence from administrative data of Argentina," Asociación Argentina de Economía Política: Working Papers 4447, Asociación Argentina de Economía Política.

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

    Cited by:

    1. 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.
    2. José Manuel Pastor & Jose M. Pavía & Lorenzo Serrano & Emili Tortosa-Ausina, 2017. "Rich regions, poor regions and bank branch deregulation in Spain," Regional Studies, Taylor & Francis Journals, vol. 51(11), pages 1678-1694, November.
    3. 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.
    4. 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).
    5. Galina Besstremyannaya, 2014. "The adverse effects of value-based purchasing in health care: dynamic quantile regression with endogeneity," Discussion Papers 14-006, Stanford Institute for Economic Policy Research.
    6. Casey J. Wichman & Laura O. Taylor & Roger H. von Haefen, 2014. "Conservation Policies: Who Responds to Price and Who Responds to Prescription?," NBER Working Papers 20466, National Bureau of Economic Research, Inc.
    7. Claude Diebolt & Tapas Mishra & Faustine Perrin, 2015. "Did Gender-Bias Matter in the Quantity- Quality Trade-off in the 19th Century France ?," Working Papers of BETA 2015-28, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    8. Iván Arribas & Jesús Peiró-Palomino & Emili Tortosa-Ausina, 2015. "Is full banking integration desirable?," Working Papers 2015/05, Economics Department, Universitat Jaume I, Castellón (Spain).
    9. 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).
    10. Stefano Bianchini & Federico Tamagni & Gabriele Pellegrino, 2016. "Innovation strategies and firm growth," Working Papers 2016/10, Institut d'Economia de Barcelona (IEB).
    11. Frantisek Cech & Jozef Barunik, 2017. "Measurement of Common Risk Factors: A Panel Quantile Regression Model for Returns," Papers 1708.08622, arXiv.org.
    12. 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.
    13. Smith, Travis A., 2013. ""Billions and Billions Served" Heterogeneous Effects of Food Source on Child Dietary Quality," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 151212, Agricultural and Applied Economics Association.
    14. Gustavo A. Crespi & Alessandro Maffioli & Pierre Mohnen & Gonzalo Vázquez, 2011. "Evaluating the Impact of Science, Technology and Innovation Programs: a Methodological Toolkit," SPD Working Papers 1104, Inter-American Development Bank, Office of Strategic Planning and Development Effectiveness (SPD).
    15. 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.
    16. Hernández Martínez, Pedro Jesús, 2016. "Reassessing the link between firm size and exports," Economics Discussion Papers 2016-25, Kiel Institute for the World Economy (IfW Kiel).
    17. 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.
    18. David Powell, 2022. "Quantile regression with nonadditive fixed effects," Empirical Economics, Springer, vol. 63(5), pages 2675-2691, November.
    19. 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).
    20. Guilherme Resende Oliveira & Benjamin Miranda Tabak & José Guilherme de Lara Resende & Daniel Oliveira Cajueiro, 2012. "Determinantes da Estrutura de Capital das Empresas Brasileiras: uma abordagem em regressão quantílica," Working Papers Series 272, Central Bank of Brazil, Research Department.
    21. Rosen, Adam M., 2012. "Set identification via quantile restrictions in short panels," Journal of Econometrics, Elsevier, vol. 166(1), pages 127-137.
    22. 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).
    23. Brandon J. Sheridan & Rishav Bista & Erik Figueiredo, 2020. "Growth takeoffs and trade margins: a quantile regression approach," Empirical Economics, Springer, vol. 59(1), pages 275-294, July.
    24. Michael Jetter & Sabine Laudage & David Stadelmann, 2019. "The Intimate Link Between Income Levels and Life Expectancy: Global Evidence from 213 Years," Social Science Quarterly, Southwestern Social Science Association, vol. 100(4), pages 1387-1403, June.
    25. Chen, Xia & Fu, Qiang & Chang, Chun-Ping, 2021. "What are the shocks of climate change on clean energy investment: A diversified exploration," Energy Economics, Elsevier, vol. 95(C).
    26. 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.
    27. 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.
    28. 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.
    29. 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.
    30. Shin-Yi Chou & Echu Liu & Min-Jen Lin & Jin-Tan Liu, 2015. "Better peers, better scores? A study of twin junior high school graduates in Taiwan," Applied Economics, Taylor & Francis Journals, vol. 47(32), pages 3462-3481, July.
    31. 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).
    32. Mohammad Arshad Rahman & Angela Vossmeyer, 2019. "Estimation and Applications of Quantile Regression for Binary Longitudinal Data," Advances in Econometrics, in: Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling: Part B, volume 40, pages 157-191, Emerald Group Publishing Limited.
    33. Dieudonné Mignamissi & Eric Xaverie Possi Tebeng & Arnold Dilane Momou Tchinda, 2024. "Does trade openness increase CO2 emissions in Africa? A revaluation using the composite index of Squalli and Wilson," Environment Systems and Decisions, Springer, vol. 44(3), pages 645-673, September.
    34. 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.
    35. Spyridon Boikos & Theodore Panagiotidis & Georgios Voucharas, 2021. "Financial Development, Reforms and Growth," Bank of Lithuania Working Paper Series 98, Bank of Lithuania.
    36. Petyo Bonev & Matthieu Glachant & Magnus Söderberg, 2020. "Testing the regulatory threat hypothesis: Evidence from Sweden," Post-Print hal-03192542, HAL.
    37. Travis A. Smith, 2017. "Do School Food Programs Improve Child Dietary Quality?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(2), pages 339-356.
    38. Chang, Chun-Ping & Wen, Jun & Dong, Minyi & Hao, Yu, 2018. "Does government ideology affect environmental pollutions? New evidence from instrumental variable quantile regression estimations," Energy Policy, Elsevier, vol. 113(C), pages 386-400.
    39. 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.
    40. Steven Parker, 2020. "Gasoline Demand in Middle-Income Countries," Economics Bulletin, AccessEcon, vol. 40(4), pages 2790-2801.
    41. 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.
    42. 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.
    43. Hyungsik Roger Roger Moon & Martin Weidner, 2013. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers 63/13, Institute for Fiscal Studies.
    44. Powell, David & Wagner, Joachim, 2010. "The Exporter Productivity Premium along the Productivity Distribution: First Evidence from a Quantile Regression Approach for Fixed Effects Panel Data Models," IZA Discussion Papers 5112, Institute of Labor Economics (IZA).
    45. 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.
    46. David Powell & Joachim Wagner, 2021. "The Exporter Productivity Premium Along the Productivity Distribution: Evidence from Quantile Regression with Nonadditive Firm Fixed Effects," World Scientific Book Chapters, in: Joachim Wagner (ed.), MICROECONOMETRIC STUDIES OF FIRMS’ IMPORTS AND EXPORTS Advanced Methods of Analysis and Evidence from German Enterprises, chapter 9, pages 121-149, World Scientific Publishing Co. Pte. Ltd..
    47. Philip Kostov & Julie Le Gallo, 2015. "Convergence: A Story of Quantiles and Spillovers," Kyklos, Wiley Blackwell, vol. 68(4), pages 552-576, November.
    48. 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).
    49. Matano, Alessia & Naticchioni, Paolo, 2012. "Rent Sharing as a Driver of the Glass Ceiling Effect," IZA Discussion Papers 6875, Institute of Labor Economics (IZA).
    50. Pedro J. Hernández, 2020. "Reassessing the link between firm size and exports," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 10(2), pages 207-223, June.
    51. David Powell & Joachim Wagner, 2011. "The Exporter Productivity Premium along the Productivity Distribution Evidence from Unconditional Quantile Regression with Firm Fixed Effects," Working Papers WR-837, RAND Corporation.
    52. Sieger, Philip, 2013. "Job Losses and Criminal Gains: Analyzing the Effect of Unemployment on Criminal Activity," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79929, Verein für Socialpolitik / German Economic Association.
    53. Zhang, Yingying & Wang, Huixia Judy & Zhu, Zhongyi, 2019. "Quantile-regression-based clustering for panel data," Journal of Econometrics, Elsevier, vol. 213(1), pages 54-67.
    54. 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.
    55. Paniagua, Jordi & Figueiredo, Erik & Sapena, Juan, 2015. "Quantile regression for the FDI gravity equation," Journal of Business Research, Elsevier, vol. 68(7), pages 1512-1518.
    56. Harding, Matthew & Lamarche, Carlos, 2012. "Estimating and Testing a Quantile Regression Model with Interactive Effects," IZA Discussion Papers 6802, Institute of Labor Economics (IZA).
    57. Ilin, Cornelia & Shi, Guanming, 2016. "Competition, Price Dispersion and Capacity Constraints: The Case of the U.S. Corn Seed Industry," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236532, Agricultural and Applied Economics Association.
    58. 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).
    59. David Powell, 2010. "Unconditional Quantile Treatment Effects in the Presence of Covariates," Working Papers WR-816, RAND Corporation.
    60. 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.
    61. Harding, Matthew & Lamarche, Carlos, 2013. "Penalized Quantile Regression with Semiparametric Correlated Effects: Applications with Heterogeneous Preferences," IZA Discussion Papers 7741, Institute of Labor Economics (IZA).
    62. 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.
    63. 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.
    64. Emmanouil Kitsios & Manasa Patnam, 2016. "Estimating Fiscal Multipliers with Correlated Heterogeneity," IMF Working Papers 2016/013, International Monetary Fund.
    65. Hyungsik Roger Roger Moon & Martin Weidner, 2014. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers 47/14, Institute for Fiscal Studies.
    66. Galina Besstremyannaya, 2015. "Heterogeneous effect of residency matching and prospective payment on labor returns and hospital scale economies," Discussion Papers 15-001, Stanford Institute for Economic Policy Research.
    67. Andini, Corrado & Andini, Monica, 2015. "A Note on Unemployment Persistence and Quantile Parameter Heterogeneity," IZA Discussion Papers 8819, Institute of Labor Economics (IZA).
    68. 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.
    69. 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.
    70. Meral KAGITCI & Leonardo BADEA & Vasile Cosmin NICULA, 2021. "The Catch-up Effect of Economic Growth. Evidence from the European Countries," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 76-86, December.
    71. 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.
    72. 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.
    73. Diebolt, Claude & Mishra, Tapas & Perrin, Faustine, 2021. "Gender empowerment as an enforcer of individuals’ choice between education and fertility: Evidence from 19th century France," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 408-438.
    74. 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.
    75. 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.
    76. 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).
    77. Jetter, Michael & Agudelo, Alejandra Montoya & Hassan, Andrés Ramírez, 2015. "The Effect of Democracy on Corruption: Income is Key," World Development, Elsevier, vol. 74(C), pages 286-304.
    78. 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).
    79. 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.
    80. Fenfen Wei & Nanping Feng & Kevin H. Zhang, 2017. "Innovation Capability and Innovation Talents: Evidence from China Based on a Quantile Regression Approach," Sustainability, MDPI, vol. 9(7), pages 1-15, July.
    81. Bang, James T. & Mitra, Aniruddha & Wunnava, Phanindra V., 2016. "Do remittances improve income inequality? An instrumental variable quantile analysis of the Kenyan case," Economic Modelling, Elsevier, vol. 58(C), pages 394-402.
    82. Maria Marino & Alessio Farcomeni, 2015. "Linear quantile regression models for longitudinal experiments: an overview," METRON, Springer;Sapienza Università di Roma, vol. 73(2), pages 229-247, August.
    83. David Powell, 2014. "Did the Economic Stimulus Payments of 2008 Reduce Labor Supply? Evidence from Quantile Panel Data Estimation," Working Papers WR-710-3, RAND Corporation.
    84. Entorf, Horst & Sieger, Philip, 2014. "Does the Link between Unemployment and Crime Depend on the Crime Level? A Quantile Regression Approach," IZA Discussion Papers 8334, Institute of Labor Economics (IZA).
    85. 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.

  26. 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.
  27. 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. 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.
    2. Olivier Damette & Philippe Delacote, 2011. "On the economic factors of deforestation: what can we learn from quantile analysis?," Working Papers 1110, Chaire Economie du climat.
    3. Frantisek Cech & Jozef Barunik, 2017. "Measurement of Common Risk Factors: A Panel Quantile Regression Model for Returns," Papers 1708.08622, arXiv.org.
    4. 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.
    5. Arulampalam, Wiji & Naylor, Robin & Smith, Jeremy, 2008. "Am I Missing Something? The Effects of Absence from Class on Student Performance," IZA Discussion Papers 3749, Institute of Labor Economics (IZA).
    6. 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.
    7. Harding, Matthew & Lamarche, Carlos, 2009. "A quantile regression approach for estimating panel data models using instrumental variables," Economics Letters, Elsevier, vol. 104(3), pages 133-135, September.
    8. Baruník, Jozef & Čech, František, 2021. "Measurement of common risks in tails: A panel quantile regression model for financial returns," Journal of Financial Markets, Elsevier, vol. 52(C).
    9. 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.

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

    Cited by:

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

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