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Hong Thi Hong

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. E. Tamer & V. Chernozhukov & H. Hong, 2004. "Parameter Set Inference in a Class of Econometric Models," Econometric Society 2004 North American Winter Meetings 382, Econometric Society.

    Cited by:

    1. Arie Beresteanu, 2009. "Sharp Identification Regions in Models with Convex Predictions: Games, Individual Choice, and Incomplete Data," Working Paper 428, Department of Economics, University of Pittsburgh, revised Sep 2010.
    2. Adam Rosen, 2007. "Identification and estimation of firms' marginal cost functions with incomplete knowledge of strategic behavior," CeMMAP working papers CWP03/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Kreider, Brent & Pepper, John V., 2011. "Identification of Expected Outcomes in a Data Error Mixing Model with Multiplicative Mean Independence," Staff General Research Papers Archive 12496, Iowa State University, Department of Economics.
    4. Fan, Yanqin & Park, Sang Soo, 2009. "Partial identification of the distribution of treatment effects and its confidence sets," MPRA Paper 37148, University Library of Munich, Germany.
    5. Andrew Chesher, 2003. "Nonparametric identification under discrete variation," CeMMAP working papers CWP19/03, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Molinari, Francesca, 2005. "Missing Treatments," Working Papers 05-11, Cornell University, Center for Analytic Economics.
    7. Patrick Bajari & C. Lanier Benkard & Jonathan Levin, 2004. "Estimating Dynamic Models of Imperfect Competition," NBER Working Papers 10450, National Bureau of Economic Research, Inc.
    8. Arie Beresteanu & Francesca Molinari, 2006. "Asymptotic properties for a class of partially identified models," CeMMAP working papers CWP10/06, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    9. Adam Rosen, 2006. "Confidence sets for partially identified parameters that satisfy a finite number of moment inequalities," CeMMAP working papers CWP25/06, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    10. Molinari, Francesca, 2005. "Partial Identification of Probability Distributions with Misclassified Data," Working Papers 05-10, Cornell University, Center for Analytic Economics.
    11. Donald W.K. Andrews & Patrik Guggenberger, 2007. "Validity of Subsampling and "Plug-in Asymptotic" Inference for Parameters Defined by Moment Inequalities," Cowles Foundation Discussion Papers 1620, Cowles Foundation for Research in Economics, Yale University.
    12. Victor Aguirregabiria & Pedro mira, 2007. "Dynamic Discrete Choice Structural Models: A Survey," Working Papers tecipa-297, University of Toronto, Department of Economics.
    13. Schorfheide, Frank & Moon, Hyungsik Roger, 2006. "Boosting Your Instruments: Estimation with Overidentifying Inequality Moment Conditions," CEPR Discussion Papers 5605, C.E.P.R. Discussion Papers.
    14. Fan, Yanqin & Park, Sang Soo, 2010. "Confidence sets for some partially identified parameters," MPRA Paper 37149, University Library of Munich, Germany.
    15. J. Stoye, 2009. "Charles F. Manski, Identification for Prediction and Decision (Harvard University Press 2007)," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(5), pages 857-862.
    16. Guido Imbens & Charles F. Manski, 2003. "Confidence intervals for partially identified parameters," CeMMAP working papers CWP09/03, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    17. Patrik Guggenberger, 2006. "The limit of finite sample size and a problem with subsampling (joint with D.W.K. Andrews), June 2005, this version March 2007," UCLA Economics Online Papers 372, UCLA Department of Economics.
    18. Andrew M. Cohen & Beth A. Freeborn & Brian McManus, 2007. "Competition and Crowding-Out among Public, Non-Profit and For-Profit Organizations: Evidence from Outpatient Substance Abuse Treatment," Working Papers 52, Economics Department, William & Mary.
    19. Esteban-Bravo, Mercedes & Vidal-Sanz, Jose M., 2007. "Worst-case estimation for econometric models with unobservable components," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3330-3354, April.
    20. Guido M. Imbens & Jeffrey M. Wooldridge, 2008. "Recent Developments in the Econometrics of Program Evaluation," NBER Working Papers 14251, National Bureau of Economic Research, Inc.

  2. Hong, H. & Scaillet, O. & Tamer, E., 2001. "A fast Subsampling Method for Nonlinear Dynamic Models," Papers 2001.09, Ecole des Hautes Etudes Commerciales, Universite de Geneve-.

    Cited by:

    1. Wang, Bin & Zheng, Xu, 2022. "Testing for the presence of jump components in jump diffusion models," Journal of Econometrics, Elsevier, vol. 230(2), pages 483-509.
    2. Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen, 2016. "Program evaluation and causal inference with high-dimensional data," CeMMAP working papers 13/16, Institute for Fiscal Studies.
    3. Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen, 2014. "Program evaluation with high-dimensional data," CeMMAP working papers CWP33/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Jason Allen & Allan Gregory & Katsumi Shimotsu, 2008. "Empirical Likelihood Block Bootstrapping," Staff Working Papers 08-18, Bank of Canada.
    5. Aristide Houndetoungan & Abdoul Haki Maoude, 2024. "Inference for Two-Stage Extremum Estimators," Papers 2402.05030, arXiv.org, revised Nov 2024.
    6. La Vecchia, Davide & Moor, Alban & Scaillet, Olivier, 2020. "A higher-order correct fast moving-average bootstrap for dependent data," Working Papers unige:129395, University of Geneva, Geneva School of Economics and Management.
    7. Scaillet, Olivier & Trojani, Fabio & Camponovo, Lorenzo, 2016. "Comments on : Nonparametric Tail Risk, Stock Returns and the Macroeconomy," Working Papers unige:84999, University of Geneva, Geneva School of Economics and Management.
    8. Tao Zou & Xian Li & Xuan Liang & Hansheng Wang, 2021. "On the Subbagging Estimation for Massive Data," Papers 2103.00631, arXiv.org.
    9. Jean-Jacques Forneron, 2022. "Estimation and Inference by Stochastic Optimization," Papers 2205.03254, arXiv.org.
    10. Paulo M. D. C. Parente & Richard J. Smith, 2021. "Quasi‐maximum likelihood and the kernel block bootstrap for nonlinear dynamic models," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(4), pages 377-405, July.
    11. Forneron, Jean-Jacques, 2024. "Estimation and inference by stochastic optimization," Journal of Econometrics, Elsevier, vol. 238(2).
    12. Lorenzo Camponovo & Olivier Scaillet & Fabio Trojani, 2016. "Predictability Hidden by Anomalous Observations," Papers 1612.05072, arXiv.org.
    13. Camponovo, Lorenzo & Scaillet, Olivier & Trojani, Fabio, 2012. "Robust subsampling," Journal of Econometrics, Elsevier, vol. 167(1), pages 197-210.

Articles

  1. Yunlong Ye & Hong Hong & Dingwen Wu & Tong Sun, 2024. "Categorical listing criteria, co-investment system and growth manipulation: empirical evidence based on the implementation of the registration system of STAR market," China Journal of Accounting Studies, Taylor & Francis Journals, vol. 12(1), pages 71-105, January.

    Cited by:

    1. Li, Qinyang & He, Liping & Gou, Xiao & Ren, Yao, 2024. "The registration-based IPO reform and the cost of equity capital: evidence from China," Finance Research Letters, Elsevier, vol. 67(PA).
    2. Cao, Aochen & Lu, Huaixin & Zhang, Jianyang & Wang, Zidong, 2025. "How does sponsor Co-investment distort institutional investor bidding? Evidence from China," Finance Research Letters, Elsevier, vol. 84(C).

  2. Hong Hong & Zhichao Wang & Yi Xiong, 2023. "Is “Well-Paid Employment” Worth It? Evidence from Corporate Investment in China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 59(3), pages 800-817, February.

    Cited by:

    1. Wei, Wei & Song, Yan & Jin, Ruifeng, 2024. "The impact of tax digitalization on corporate salary structures," Finance Research Letters, Elsevier, vol. 64(C).

  3. Pin Zhou & Hong Hong, 2022. "Horizontal partial shareholding, dual purpose concern, and mixed duopoly competition," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(7), pages 3107-3115, October.

    Cited by:

    1. Juhee Han & Younghoon Lee, 2025. "Image sentiment considering color palette recommendations based on influence scores for image advertisement," Electronic Commerce Research, Springer, vol. 25(6), pages 4505-4532, December.
    2. Nana Wan, 2024. "Impacts of platform coupons and power structure on an e‐commerce supply chain," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 45(1), pages 283-299, January.

  4. S. Li & H. Hong, 2015. "Use of historical best track data to estimate typhoon wind hazard at selected sites in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 76(2), pages 1395-1414, March.

    Cited by:

    1. Hong, Xu & Wan, Zhiqiang & Chen, Jianbing, 2023. "Parallel assessment of the tropical cyclone wind hazard at multiple locations using the probability density evolution method integrated with the change of probability measure," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    2. Jiang, Wenjun & Zhong, Xi & Zhang, Jize, 2024. "TC-Diffusion: A diffusion-based probabilistic tropical cyclone model with application to typhoon wind hazard assessment," Reliability Engineering and System Safety, Elsevier, vol. 251(C).
    3. Si Han Li & Suresh Kumar, 2023. "Probable maximum tropical cyclone parameters for east and west coast of India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 118(1), pages 859-866, August.
    4. S. H. Li & H. P. Hong, 2016. "Typhoon wind hazard estimation for China using an empirical track model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 82(2), pages 1009-1029, June.

  5. H. Hong & W. Ye, 2014. "Analysis of extreme ground snow loads for Canada using snow depth records," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 73(2), pages 355-371, September.

    Cited by:

    1. H. M. Mo & L. Y. Dai & F. Fan & T. Che & H. P. Hong, 2016. "Extreme snow hazard and ground snow load for China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(3), pages 2095-2120, December.
    2. Veli Yavuz & Ali Deniz & Emrah Tuncay Özdemir, 2021. "Analysis of a vortex causing sea-effect snowfall in the western part of the Black Sea: a case study of events that occurred on 30–31 January 2012," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 108(1), pages 819-846, August.
    3. Harald Schellander & Tobias Hell, 2018. "Modeling snow depth extremes in Austria," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 94(3), pages 1367-1389, December.
    4. H. M. Mo & H. P. Hong & F. Fan, 2017. "Using remote sensing information to estimate snow hazard and extreme snow load in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 89(1), pages 1-17, October.
    5. H. Mo & F. Fan & H. Hong, 2015. "Snow hazard estimation and mapping for a province in northeast China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 77(2), pages 543-558, June.

  6. Hong, H. & Scaillet, O., 2006. "A fast subsampling method for nonlinear dynamic models," Journal of Econometrics, Elsevier, vol. 133(2), pages 557-578, August.
    See citations under working paper version above.
  7. Hong H. & Chernozhukov V., 2002. "Three-Step Censored Quantile Regression and Extramarital Affairs," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 872-882, September.

    Cited by:

    1. Barnes, Kayleigh & Mukherji, Arnab & Mullen, Patrick & Sood, Neeraj, 2017. "Financial risk protection from social health insurance," Journal of Health Economics, Elsevier, vol. 55(C), pages 14-29.
    2. Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2009. "Inference on Counterfactual Distributions," Papers 0904.0951, arXiv.org, revised Sep 2013.
    3. Pradhan, Jaya Prakash, 2011. "Regional heterogeneity and firms’ innovation: the role of regional factors in industrial R&D in India," MPRA Paper 28096, University Library of Munich, Germany.
    4. Blundell, Richard & Powell, James L., 2007. "Censored regression quantiles with endogenous regressors," Journal of Econometrics, Elsevier, vol. 141(1), pages 65-83, November.
    5. Chen, Songnian & Liu, Nianqing & Zhang, Hanghui & Zhou, Yahong, 2025. "Estimation of wage inequality in the UK by quantile regression with censored selection," Journal of Econometrics, Elsevier, vol. 252(PB).
    6. Pradhan, Jaya Prakash, 2010. "R&D strategy of small and medium enterprises in India: Trends and determinants," MPRA Paper 20951, University Library of Munich, Germany.
    7. Chen, Songnian, 2018. "Sequential estimation of censored quantile regression models," Journal of Econometrics, Elsevier, vol. 207(1), pages 30-52.
    8. Chen, Songnian, 2019. "Quantile regression for duration models with time-varying regressors," Journal of Econometrics, Elsevier, vol. 209(1), pages 1-17.
    9. Yinchu Zhu, 2018. "Learning non-smooth models: instrumental variable quantile regressions and related problems," Papers 1805.06855, arXiv.org, revised Sep 2019.
    10. Gustavsen, Geir Wæhler & Rickertsen, Kyrre, 2013. "Adjusting VAT rates to promote healthier diets in Norway: A censored quantile regression approach," Food Policy, Elsevier, vol. 42(C), pages 88-95.
    11. Chernozhukov, Victor & Fernández-Val, Iván & Kowalski, Amanda E., 2015. "Quantile regression with censoring and endogeneity," Journal of Econometrics, Elsevier, vol. 186(1), pages 201-221.
    12. Harding, Matthew & Lamarche, Carlos, 2019. "A panel quantile approach to attrition bias in Big Data: Evidence from a randomized experiment," Journal of Econometrics, Elsevier, vol. 211(1), pages 61-82.
    13. Alina Ozhegova & Evgeniy M. Ozhegov, 2018. "Heterogeneity in demand for performances and seats in the theatre," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 17(3), pages 131-145, June.
    14. Victor Chernozhukov & Iv'n Fern'ndez-Val & Sukjin Han & Amanda E. Kowalski, 2018. "Censored Quantile Instrumental Variable Estimation with Stata," Cowles Foundation Discussion Papers 2120, Cowles Foundation for Research in Economics, Yale University.
    15. Seoyun Hong, 2023. "Censored Quantile Regression with Many Controls," Papers 2303.02784, arXiv.org.
    16. Erik Figueiredo & Luiz Renato Lima & Gianluca Orefice, 2016. "Migration and Regional Trade Agreements: A (New) Gravity Estimation," Review of International Economics, Wiley Blackwell, vol. 24(1), pages 99-125, February.
    17. J.-M. Daussin-Benichou & A. Mauroux, 2014. "Turning the heat up. How sensitive are households to fiscal incentives on energy efficiency investments?," Documents de Travail de l'Insee - INSEE Working Papers g2014-06, Institut National de la Statistique et des Etudes Economiques.
    18. Hartley, Robert Paul & Lamarche, Carlos, 2017. "Behavioral Responses and Welfare Reform: Evidence from a Randomized Experiment," IZA Discussion Papers 10905, IZA Network @ LISER.
    19. Gustavsen, Geir Waehler & Jolliffe, Dean & Rickertsen, Kyrre, 2008. "Censored Quantile Regression and Purchases of Ice Cream," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6534, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    20. Chen, Songnian & Wang, Qian, 2023. "Quantile regression with censoring and sample selection," Journal of Econometrics, Elsevier, vol. 234(1), pages 205-226.
    21. James E. Payne & James W. Saunoris, 2020. "Corruption and Firm Tax Evasion in Transition Economies: Results from Censored Quantile Instrumental Variables Estimation," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 48(2), pages 195-206, June.
    22. Firpo, Sergio & Galvao, Antonio F. & Pinto, Cristine & Poirier, Alexandre & Sanroman, Graciela, 2022. "GMM quantile regression," Journal of Econometrics, Elsevier, vol. 230(2), pages 432-452.
    23. Thomas Bassetti & Filippo Pavesi, 2015. "Electoral Contributions and the Cost of Unpopularity," "Marco Fanno" Working Papers 0195, Dipartimento di Scienze Economiche "Marco Fanno".
    24. Mingli Chen & Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2017. "Counterfactual analysis in R: a vignette," CeMMAP working papers 64/17, Institute for Fiscal Studies.
    25. Möller, Joachim & Bender, Stefan & König, Marion & vom Berge, Philipp & Umkehrer, Matthias & Wolter, Stefanie & Schaffner, Sandra & Bachmann, Ronald & Kröger, Hanna & Janßen-Timmen, Ronald & Paloyo, A, 2011. "Evaluation bestehender gesetzlicher Mindestlohnregelungen: Branche: Bauhauptgewerbe. Forschungsauftrag des Bundesministeriums für Arbeit und Soziales (BMAS). Endbericht," RWI Projektberichte, RWI - Leibniz-Institut für Wirtschaftsforschung, number 72591.
    26. Jesse Edgerton, 2011. "Agency problems in public firms: evidence from corporate jets in leveraged buyouts," Finance and Economics Discussion Series 2011-15, Board of Governors of the Federal Reserve System (U.S.).
    27. Bönke, Timm & Massarrat-Mashhadi, Nima & Sielaff, Christian, 2010. "Charitable giving in the German welfare state: Fiscal incentives and crowding out," Discussion Papers 2010/30, Free University Berlin, School of Business & Economics.
    28. Fitzenberger, Bernd & Winker, Peter, 2007. "Improving the computation of censored quantile regressions," Computational Statistics & Data Analysis, Elsevier, vol. 52(1), pages 88-108, September.
    29. Bertanha, Marinho & McCallum, Andrew H. & Seegert, Nathan, 2023. "Better bunching, nicer notching," Journal of Econometrics, Elsevier, vol. 237(2).
    30. Chernozhukov, Victor & Hansen, Christian, 2006. "Instrumental quantile regression inference for structural and treatment effect models," Journal of Econometrics, Elsevier, vol. 132(2), pages 491-525, June.
    31. Achim Schmillen & Joachim Möller, 2010. "Determinants of Lifetime Unemployment. A Micro Data Analysis with Censored Quantile Regressions," Working Papers 090, Bavarian Graduate Program in Economics (BGPE).
    32. 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.
    33. Jorg Drechsler & Johannes Ludsteck, 2025. "Imputation Strategies for Rightcensored Wages in Longitudinal Datasets," Papers 2502.12967, arXiv.org.
    34. Amanda Kowalski, 2016. "Censored Quantile Instrumental Variable Estimates of the Price Elasticity of Expenditure on Medical Care," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(1), pages 107-117, January.
    35. Alzuabi, Raslan & Brown, Sarah & Gray, Daniel & Harris, Mark N. & Spencer, Christopher, 2019. "Household Saving, Health, and Healthcare Utilisation in Japan," CEI Working Paper Series 2018-17, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.
    36. Brown, Sarah & Taylor, Karl, 2015. "Charitable Behaviour and the Big Five Personality Traits: Evidence from UK Panel Data," IZA Discussion Papers 9318, IZA Network @ LISER.
    37. Schmillen, Achim & Umkehrer, Matthias, 2013. "The scars of youth : effects of early-career unemployment on future unemployment experience," IAB-Discussion Paper 201306, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    38. Michael Berlemann & Marc-André Luik, 2014. "Institutional Reform and Depositors' Portfolio Choice - Evidence from Censored Quantile Regressions," CESifo Working Paper Series 4782, CESifo.
    39. Qiu, Wanling & Rudkin, Simon & Sharma, Abhijit, 2017. "An Analysis of the Impact of Low Cost Airlines on Tourist Stay Duration and Expenditures," MPRA Paper 81428, University Library of Munich, Germany.
    40. Joerg Drechsler & Johannes Ludsteck, 2025. "Imputation strategies for rightcensored wages in longitudinal datasets," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 59(1), pages 1-14, December.
    41. Victor Champonnois & Olivier Chanel & Costin Protopopescu, 2022. "Quantile Regression Analysis of Censored Data with Selection An Application to Willingness-to-Pay Data," AMSE Working Papers 2214, Aix-Marseille School of Economics, France.
    42. Angelov, Nikolay & Johansson, Per & Lee, Myoung-jae, 2017. "The effect of fertility timing on labor market work duration," Working Paper Series 2017:13, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    43. Kalouptsidi, Myrto & Barwick, Panle Jia & Zahur, Nahim Bin, 2019. "China’s Industrial Policy: an Empirical Evaluation," CEPR Discussion Papers 13889, C.E.P.R. Discussion Papers.
    44. 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.
    45. Galina Besstremyannaya & Sergei Golovan, 2022. "Instrumental Variable Quantile Regression For Clustered Data," HSE Working papers WP BRP 255/EC/2022, National Research University Higher School of Economics.
    46. Anurag Sharma & Brian Vandenberg, 2019. "Heterogenous wealth effects of minimum unit price on purchase of alcohol: Evidence using scanner data," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-16, December.
    47. Blanco, German & Chen, Xuan & Flores, Carlos A. & Flores-Lagunes, Alfonso, 2018. "Bounds on Average and Quantile Treatment Effects on Duration Outcomes under Censoring, Selection, and Noncompliance," GLO Discussion Paper Series 288, Global Labor Organization (GLO).
    48. Figueiredo, Erik & Lima, Luiz Renato & Loures, Alexandre & Oliveira, Celina, 2014. "Uma Análise para o Efeito-Fronteira no Brasil," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 68(4), October.
    49. Tatsushi Oka & Ken Yamada, 2019. "Heterogeneous Impact of the Minimum Wage: Implications for Changes in Between- and Within-group Inequality," Papers 1903.03925, arXiv.org, revised Jul 2019.
    50. Huang, Pinghsun & Huang, Hsin-Yi & Zhang, Yan, 2019. "Do firms hedge with foreign currency derivatives for employees?," Journal of Financial Economics, Elsevier, vol. 133(2), pages 418-440.
    51. Daniel Pollmann & Thomas Dohmen & Franz Palm, 2020. "Robust Estimation of Wage Dispersion with Censored Data: An Application to Occupational Earnings Risk and Risk Attitudes," De Economist, Springer, vol. 168(4), pages 519-540, December.
    52. Jaya Prakash Pradhan & Mohammad Zohair & Mallikarjun V. Alagawadi, 2013. "Regional Policies, Firm Characteristics and Exporting in the Indian State of Karnataka," Foreign Trade Review, , vol. 48(1), pages 45-81, February.
    53. Ian Smith, 2012. "Reinterpreting the economics of extramarital affairs," Review of Economics of the Household, Springer, vol. 10(3), pages 319-343, September.
    54. Abi Adams & Richard Blundell & Martin Browning & Ian Crawford, 2015. "Prices versus preferences: taste change and revealed preference," IFS Working Papers W15/11, Institute for Fiscal Studies.
    55. Martin Ardanaz & Stanislao Maldonado, 2016. "Natural Resource Windfalls and Efficiency of Local Government Expenditures: Evidence from Peru," Documentos de Trabajo 14578, Universidad del Rosario.
    56. 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.
    57. Alejo, Javier & Galvao, Antonio F. & Montes-Rojas, Gabriel, 2018. "Quantile continuous treatment effects," Econometrics and Statistics, Elsevier, vol. 8(C), pages 13-36.
    58. Xavier D’Haultfoeuille & Pauline Givord, 2014. "La régression quantile en pratique," Économie et Statistique, Programme National Persée, vol. 471(1), pages 85-111.
    59. Mukasa Adamon N. & Anthony M. Simpasa & Adeleke Oluwole Salami, 2017. "Working Paper 247 - Credit constraints and farm productivity: Micro-level evidence from smallholder farmers in Ethiopia," Working Paper Series 2356, African Development Bank.
    60. Sugimoto, Kota, 2021. "Ownership versus legal unbundling of electricity transmission network: Evidence from renewable energy investment in Germany," Energy Economics, Elsevier, vol. 99(C).
    61. Schmillen, Achim & Möller, Joachim, 2012. "Distribution and determinants of lifetime unemployment," Labour Economics, Elsevier, vol. 19(1), pages 33-47.
    62. Joshua S. Graff Zivin & Matthew J. Neidell, 2011. "The Impact of Pollution on Worker Productivity," NBER Working Papers 17004, National Bureau of Economic Research, Inc.
    63. Naoto Jinji & Xingyuan Zhang & Shoji Haruna, 2022. "Deep Integration, Global Firms, and Technology Spillovers," Advances in Japanese Business and Economics, Springer, number 978-981-16-5210-3.
    64. 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).
    65. Ji, Yonggang & Lin, Nan & Zhang, Baoxue, 2012. "Model selection in binary and tobit quantile regression using the Gibbs sampler," Computational Statistics & Data Analysis, Elsevier, vol. 56(4), pages 827-839.
    66. Santiago Acerenza & Vitor Possebom & Pedro H. C. Sant'Anna, 2023. "Was Javert right to be suspicious? Marginal Treatment Effects with Duration Outcomes," Papers 2311.13969, arXiv.org, revised Apr 2026.
    67. Machado, José A.F. & Santos Silva, J.M.C. & Wei, Kehai, 2016. "Quantiles, corners, and the extensive margin of trade," European Economic Review, Elsevier, vol. 89(C), pages 73-84.
    68. Berlemann, Michael & Luik, Marc-André, 2026. "Institutional reform and depositors' portfolio choice evidence from bank account data," HWWI Working Paper Series 1/2026, Hamburg Institute of International Economics (HWWI).
    69. Viola, Alessandra Pasqualina & Klotzle, Marcelo Cabus & Pinto, Antonio Carlos Figueiredo & da Silveira Barbedo, Claudio Henrique, 2019. "Foreign exchange interventions in Brazil and their impact on volatility: A quantile regression approach," Research in International Business and Finance, Elsevier, vol. 47(C), pages 251-263.
    70. Bergstrand, Jeffrey H. & Clance, Matthew W. & Santos Silva, J.M.C., 2025. "The tails of gravity: Using expectiles to quantify the trade-margins effects of economic integration agreements," Journal of International Economics, Elsevier, vol. 157(C).
    71. Melly, Blaise, 2005. "Decomposition of differences in distribution using quantile regression," Labour Economics, Elsevier, vol. 12(4), pages 577-590, August.
    72. Yuanshan Wu & Yanyuan Ma & Guosheng Yin, 2015. "Smoothed and Corrected Score Approach to Censored Quantile Regression With Measurement Errors," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(512), pages 1670-1683, December.
    73. Tom Chang & Joshua S. Graff Zivin & Tal Gross & Matthew J. Neidell, 2014. "Particulate Pollution and the Productivity of Pear Packers," NBER Working Papers 19944, National Bureau of Economic Research, Inc.
    74. Fernández-Val, Iván & van Vuuren, Aico & Vella, Francis & Peracchi, Franco, 2022. "Selection and the Distribution of Female Hourly Wages in the U.S," IZA Discussion Papers 15028, IZA Network @ LISER.
    75. Yanlin Tang & Huixia Wang & Xuming He & Zhongyi Zhu, 2012. "An informative subset-based estimator for censored quantile regression," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 21(4), pages 635-655, December.
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