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Sukjin Han

Personal Details

First Name:Sukjin
Middle Name:
Last Name:Han
Suffix:
RePEc Short-ID:pha802
[This author has chosen not to make the email address public]
https://sites.google.com/site/sukjinhanwebpage/
Terminal Degree:2012 Economics Department; Yale University (from RePEc Genealogy)

Affiliation

Department of Economics
University of Texas-Austin

Austin, Texas (United States)
http://www.utexas.edu/cola/depts/economics/
RePEc:edi:deutxus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Software

Working papers

  1. Sukjin Han, 2024. "Mining Causality: AI-Assisted Search for Instrumental Variables," Papers 2409.14202, arXiv.org, revised Nov 2024.
  2. Victor Chernozhukov & Iv'an Fern'andez-Val & Sukjin Han & Kaspar Wuthrich, 2024. "Estimating Causal Effects of Discrete and Continuous Treatments with Binary Instruments," Papers 2403.05850, arXiv.org.
  3. Sukjin Han & Hiroaki Kaido & Lorenzo Magnolfi, 2024. "Testing Information Ordering for Strategic Agents," Papers 2402.19425, arXiv.org.
  4. Sukjin Han & Hiroaki Kaido, 2024. "Set-Valued Control Functions," Papers 2403.00347, arXiv.org, revised Mar 2024.
  5. Sukjin Han & Adam McCloskey, 2024. "Inference for Interval-Identified Parameters Selected from an Estimated Set," Papers 2403.00422, arXiv.org.
  6. Sukjin Han & Haiqing Xu, 2023. "On Quantile Treatment Effects, Rank Similarity, and Variation of Instrumental Variables," Papers 2311.15871, arXiv.org.
  7. Yifan Cui & Sukjin Han, 2023. "Policy Learning with Distributional Welfare," Papers 2311.15878, arXiv.org, revised Sep 2024.
  8. Sukjin Han & Eric H. Schulman & Kristen Grauman & Santhosh Ramakrishnan, 2021. "Shapes as Product Differentiation: Neural Network Embedding in the Analysis of Markets for Fonts," Papers 2107.02739, arXiv.org, revised Mar 2024.
  9. Sukjin Han & Shenshen Yang, 2020. "A Computational Approach to Identification of Treatment Effects for Policy Evaluation," Papers 2009.13861, arXiv.org, revised Aug 2023.
  10. Sukjin Han, 2019. "Optimal Dynamic Treatment Regimes and Partial Welfare Ordering," Papers 1912.10014, arXiv.org, revised Jul 2021.
  11. Sukjin Han, 2018. "Identification in Nonparametric Models for Dynamic Treatment Effects," Papers 1805.09397, arXiv.org, revised Jan 2019.
  12. Victor Chernozhukov & Iván Fernández-Val & Sukjin Han & Amanda Kowalski, 2018. "Censored Quantile Instrumental Variable Estimation with Stata," NBER Working Papers 24232, National Bureau of Economic Research, Inc.
  13. Jorge Balat & Sukjin Han, 2018. "Multiple Treatments with Strategic Interaction," Papers 1805.08275, arXiv.org, revised Sep 2019.
  14. Sukjin Han & Sungwon Lee, 2018. "Estimation in a Generalization of Bivariate Probit Models with Dummy Endogenous Regressors," Papers 1808.05792, arXiv.org, revised Mar 2019.
  15. Sukjin Han & Edward J. Vytlacil, 2013. "Identification in a Generalization of Bivariate Probit Models with Endogenous Regressors," Department of Economics Working Papers 130908, The University of Texas at Austin, Department of Economics.
  16. Sukjin Han, 2012. "Nonparametric Estimation of Triangular Simultaneous Equations Models under Weak Identification," Department of Economics Working Papers 140414, The University of Texas at Austin, Department of Economics, revised Apr 2014.
  17. Donald W.K. Andrews & Sukjin Han, 2008. "Invalidity of the Bootstrap and the m Out of n Bootstrap for Interval Endpoints Defined by Moment Inequalities," Cowles Foundation Discussion Papers 1671, Cowles Foundation for Research in Economics, Yale University.

Articles

  1. Han, Sukjin & Yang, Shenshen, 2024. "A computational approach to identification of treatment effects for policy evaluation," Journal of Econometrics, Elsevier, vol. 240(1).
  2. Balat, Jorge F. & Han, Sukjin, 2023. "Multiple treatments with strategic substitutes," Journal of Econometrics, Elsevier, vol. 234(2), pages 732-757.
  3. Han, Sukjin, 2021. "Identification in nonparametric models for dynamic treatment effects," Journal of Econometrics, Elsevier, vol. 225(2), pages 132-147.
  4. Sukjin Han, 2021. "Comment: Individualized Treatment Rules Under Endogeneity," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(533), pages 192-195, March.
  5. Sukjin Han, 2020. "Nonparametric estimation of triangular simultaneous equations models under weak identification," Quantitative Economics, Econometric Society, vol. 11(1), pages 161-202, January.
  6. Sukjin Han & Sungwon Lee, 2019. "Estimation in a generalization of bivariate probit models with dummy endogenous regressors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(6), pages 994-1015, September.
  7. Victor Chernozhukov & Ivan Fernández-Val & Sukjin Han & Amanda Kowalski, 2019. "Censored quantile instrumental-variable estimation with Stata," Stata Journal, StataCorp LP, vol. 19(4), pages 768-781, December.
  8. Sukjin Han & Adam McCloskey, 2019. "Estimation and inference with a (nearly) singular Jacobian," Quantitative Economics, Econometric Society, vol. 10(3), pages 1019-1068, July.
  9. Han, Sukjin & Vytlacil, Edward J., 2017. "Identification in a generalization of bivariate probit models with dummy endogenous regressors," Journal of Econometrics, Elsevier, vol. 199(1), pages 63-73.
  10. Donald W. K. Andrews & Sukjin Han, 2009. "Invalidity of the bootstrap and the m out of n bootstrap for confidence interval endpoints defined by moment inequalities," Econometrics Journal, Royal Economic Society, vol. 12(s1), pages 172-199, January.

Software components

  1. Victor Chernozhukov & Ivan Fernandez-Val & Sukjin Han & Amanda Kowalski, 2012. "CQIV: Stata module to perform censored quantile instrumental variables regression," Statistical Software Components S457478, Boston College Department of Economics, revised 25 Sep 2019.

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. Sukjin Han & Eric H. Schulman & Kristen Grauman & Santhosh Ramakrishnan, 2021. "Shapes as Product Differentiation: Neural Network Embedding in the Analysis of Markets for Fonts," Papers 2107.02739, arXiv.org, revised Mar 2024.

    Cited by:

    1. Patrick Bajari & Zhihao Cen & Victor Chernozhukov & Manoj Manukonda & Jin Wang & Ramon Huerta & Junbo Li & Ling Leng & George Monokroussos & Suhas Vijaykunar & Shan Wan, 2023. "Hedonic prices and quality adjusted price indices powered by AI," CeMMAP working papers 08/23, Institute for Fiscal Studies.

  2. Sukjin Han & Shenshen Yang, 2020. "A Computational Approach to Identification of Treatment Effects for Policy Evaluation," Papers 2009.13861, arXiv.org, revised Aug 2023.

    Cited by:

    1. Lina Zhang & David T. Frazier & Don S. Poskitt & Xueyan Zhao, 2021. "Decomposing Identification Gains and Evaluating Instrument Identification Power for Partially Identified Average Treatment Effects," Monash Econometrics and Business Statistics Working Papers 21/21, Monash University, Department of Econometrics and Business Statistics.
    2. Marx, Philip, 2024. "Sharp bounds in the latent index selection model," Journal of Econometrics, Elsevier, vol. 238(2).

  3. Sukjin Han, 2019. "Optimal Dynamic Treatment Regimes and Partial Welfare Ordering," Papers 1912.10014, arXiv.org, revised Jul 2021.

    Cited by:

    1. Toru Kitagawa & Weining Wang & Mengshan Xu, 2022. "Policy Choice in Time Series by Empirical Welfare Maximization," Papers 2205.03970, arXiv.org, revised Jun 2023.

  4. Sukjin Han, 2018. "Identification in Nonparametric Models for Dynamic Treatment Effects," Papers 1805.09397, arXiv.org, revised Jan 2019.

    Cited by:

    1. Fitzenberger, Bernd & Osikominu, Aderonke & Paul, Marie, 2023. "The effects of training incidence and planned training duration on labor market transitions," Journal of Econometrics, Elsevier, vol. 235(1), pages 256-279.
    2. Michelle Marcus & Pedro H. C. Sant’Anna, 2021. "The Role of Parallel Trends in Event Study Settings: An Application to Environmental Economics," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 8(2), pages 235-275.
    3. Balat, Jorge F. & Han, Sukjin, 2023. "Multiple treatments with strategic substitutes," Journal of Econometrics, Elsevier, vol. 234(2), pages 732-757.
    4. Athey, Susan & Imbens, Guido W., 2022. "Design-based analysis in Difference-In-Differences settings with staggered adoption," Journal of Econometrics, Elsevier, vol. 226(1), pages 62-79.
    5. Hervé Cardot & Antonio Musolesi, 2021. "Zero-inflated regression for unobserved effects panel data models and difference-in-differences estimation," SEEDS Working Papers 1121, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Dec 2021.
    6. Ravi B. Sojitra & Vasilis Syrgkanis, 2024. "Dynamic Local Average Treatment Effects," Papers 2405.01463, arXiv.org, revised May 2024.
    7. Han, Sukjin & Yang, Shenshen, 2024. "A computational approach to identification of treatment effects for policy evaluation," Journal of Econometrics, Elsevier, vol. 240(1).
    8. Juliano Assuncao & Robert McMillan & Joshua Murphy & Eduardo Souza-Rodrigues, 2019. "Optimal Environmental Targeting in the Amazon Rainforest," Working Papers tecipa-631, University of Toronto, Department of Economics.
    9. Juliano Assunção & Robert McMillan & Joshua Murphy & Eduardo Souza-Rodrigues, 2019. "Optimal Environmental Targeting in the Amazon Rainforest," NBER Working Papers 25636, National Bureau of Economic Research, Inc.
    10. Pedro Picchetti, 2023. "Identification in Endogenous Sequential Treatment Regimes," Papers 2311.18555, arXiv.org.
    11. Iavor Bojinov & Ashesh Rambachan & Neil Shephard, 2021. "Panel experiments and dynamic causal effects: A finite population perspective," Quantitative Economics, Econometric Society, vol. 12(4), pages 1171-1196, November.
    12. Kyunghoon Ban & D'esir'e K'edagni, 2024. "$\texttt{rdid}$ and $\texttt{rdidstag}$: Stata commands for robust difference-in-differences," Papers 2410.05212, arXiv.org.

  5. Victor Chernozhukov & Iván Fernández-Val & Sukjin Han & Amanda Kowalski, 2018. "Censored Quantile Instrumental Variable Estimation with Stata," NBER Working Papers 24232, National Bureau of Economic Research, Inc.

    Cited by:

    1. Sanna Nivakoski, 2020. "Wealth and the effect of subjective survival probability," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(2), pages 633-670, April.
    2. Abe Dunn, 2014. "Health Insurance and the Demand for Medical Care: Instrumental Variable Estimates Using Health Insurer Claims Data," BEA Working Papers 0107, Bureau of Economic Analysis.
    3. Kim, Young-Joo & Daly, Vincent, 2019. "The Education Gradient in Health: The Case of Obesity in the UK and US," Economics Discussion Papers 2019-4, School of Economics, Kingston University London.
    4. L. Benfratello & A. Bottasso & C. Piccardo, 2022. "R&D and export performance: exploring heterogeneity along the export intensity distribution," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 49(2), pages 189-232, June.
    5. Männasoo, Kadri, 2022. "Working hours and gender wage differentials: Evidence from the American Working Conditions Survey," Labour Economics, Elsevier, vol. 76(C).
    6. Sugimoto, Kota, 2021. "Ownership versus legal unbundling of electricity transmission network: Evidence from renewable energy investment in Germany," Energy Economics, Elsevier, vol. 99(C).
    7. David M. Kaplan, 2020. "sivqr: Smoothed IV quantile regression," Working Papers 2009, Department of Economics, University of Missouri.

  6. Jorge Balat & Sukjin Han, 2018. "Multiple Treatments with Strategic Interaction," Papers 1805.08275, arXiv.org, revised Sep 2019.

    Cited by:

    1. Tadao Hoshino & Takahide Yanagi, 2018. "Treatment Effect Models with Strategic Interaction in Treatment Decisions," Papers 1810.08350, arXiv.org, revised Feb 2023.
    2. Lin, Zhongjian & Vella, Francis, 2021. "Selection and Endogenous Treatment Models with Social Interactions: An Application to the Impact of Exercise on Self-Esteem," IZA Discussion Papers 14167, Institute of Labor Economics (IZA).
    3. Bora Kim, 2020. "Analysis of Randomized Experiments with Network Interference and Noncompliance," Papers 2012.13710, arXiv.org.
    4. Sukjin Han, 2018. "Identification in Nonparametric Models for Dynamic Treatment Effects," Papers 1805.09397, arXiv.org, revised Jan 2019.

  7. Sukjin Han & Sungwon Lee, 2018. "Estimation in a Generalization of Bivariate Probit Models with Dummy Endogenous Regressors," Papers 1808.05792, arXiv.org, revised Mar 2019.

    Cited by:

    1. Mustafa Coban, 2022. "rbiprobit: Recursive bivariate probit estimation and decomposition of marginal effects," Italian Stata Users' Group Meetings 2022 08, Stata Users Group.
    2. Manuel Denzer, 2019. "Estimating Causal Effects in Binary Response Models with Binary Endogenous Explanatory Variables - A Comparison of Possible Estimators," Working Papers 1916, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
    3. Santiago Acerenza & Otávio Bartalotti & Désiré Kédagni, 2023. "Testing identifying assumptions in bivariate probit models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(3), pages 407-422, April.
    4. Gu, Jiaying & Russell, Thomas M., 2023. "Partial identification in nonseparable binary response models with endogenous regressors," Journal of Econometrics, Elsevier, vol. 235(2), pages 528-562.
    5. Mustafa Coban, 2022. "rbicopula: Recursive bivariate copula estimation and decomposition of marginal effects," 2022 Stata Conference 04, Stata Users Group.
    6. Legendre, Nicolas & Nitani, Miwako & Riding, Allan, 2021. "Are franchises really more viable? Evidence from loan defaults," Journal of Business Research, Elsevier, vol. 133(C), pages 23-33.
    7. Han, Sukjin & Yang, Shenshen, 2024. "A computational approach to identification of treatment effects for policy evaluation," Journal of Econometrics, Elsevier, vol. 240(1).
    8. Carlos Lamarche, 2023. "Quantile Regression with an Endogenous Misclassified Binary Regressor," CEDLAS, Working Papers 0318, CEDLAS, Universidad Nacional de La Plata.
    9. Kien C. Tran & Mike G. Tsionas, 2022. "Instrumental Variables Estimation without Outside Instruments," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 20(3), pages 489-506, September.
    10. Khan, Shakeeb & Maurel, Arnaud & Zhang, Yichong, 2020. "Informational Content of Factor Structures in Simultaneous Binary Response Models," IZA Discussion Papers 14008, Institute of Labor Economics (IZA).
    11. Lina Zhang & David T. Frazier & Don S. Poskitt & Xueyan Zhao, 2021. "Decomposing Identification Gains and Evaluating Instrument Identification Power for Partially Identified Average Treatment Effects," Monash Econometrics and Business Statistics Working Papers 21/21, Monash University, Department of Econometrics and Business Statistics.
    12. S. I. Dolgikh & B. S. Potanin, 2023. "The Impact of Public Administration on the Efficiency of Russian Firms," Studies on Russian Economic Development, Springer, vol. 34(1), pages 59-67, February.
    13. Chaoran Chen & Zhigang Feng & Jiaying Gu, 2024. "Health, Health Insurance, and Inequality," Working Papers tecipa-767, University of Toronto, Department of Economics.
    14. Jiaying Gu & Thomas M. Russell, 2021. "Partial Identification in Nonseparable Binary Response Models with Endogenous Regressors," Papers 2101.01254, arXiv.org, revised Jul 2022.
    15. Mustafa Coban, 2022. "Recursive bivariate copula estimation and decomposition of marginal effects," Northern European Stata Conference 2022 09, Stata Users Group.

  8. Sukjin Han & Edward J. Vytlacil, 2013. "Identification in a Generalization of Bivariate Probit Models with Endogenous Regressors," Department of Economics Working Papers 130908, The University of Texas at Austin, Department of Economics.

    Cited by:

    1. Sarah Ann Wheeler & Alec Zuo, 2017. "The impact of drought and water scarcity on irrigator farm exit intentions in the Murray–Darling Basin," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 61(3), pages 404-421, July.
    2. Zaccaria, Luana, 2023. "Are family and friends the wrong investors? Evidence from U.S. start-ups," Journal of Corporate Finance, Elsevier, vol. 79(C).
    3. Romuald Meango & Ismael Mourifie, 2013. "A note on the identification in two equations probit model with dummy endogenous regressor," Working Papers tecipa-503, University of Toronto, Department of Economics.
    4. Sengupta, Reshmi & Rooj, Debasis, 2019. "The effect of health insurance on hospitalization: Identification of adverse selection, moral hazard and the vulnerable population in the Indian healthcare market," World Development, Elsevier, vol. 122(C), pages 110-129.

  9. Sukjin Han, 2012. "Nonparametric Estimation of Triangular Simultaneous Equations Models under Weak Identification," Department of Economics Working Papers 140414, The University of Texas at Austin, Department of Economics, revised Apr 2014.

    Cited by:

    1. Otsu, Taisuke & Sunada, Keita, 2024. "On large market asymptotics for spatial price competition models," Economics Letters, Elsevier, vol. 234(C).
    2. Otsu, Taisuke & Sunada, Keita, 2024. "On large market asymptotics for spatial price competition models," LSE Research Online Documents on Economics 120588, London School of Economics and Political Science, LSE Library.
    3. Tadao Hoshino, 2021. "Estimating a Continuous Treatment Model with Spillovers: A Control Function Approach," Papers 2112.15114, arXiv.org, revised Jan 2023.
    4. Han, Sukjin & Yang, Shenshen, 2024. "A computational approach to identification of treatment effects for policy evaluation," Journal of Econometrics, Elsevier, vol. 240(1).
    5. Dakyung Seong, 2022. "Binary response model with many weak instruments," Papers 2201.04811, arXiv.org, revised Jun 2024.
    6. Koo, Chao, 2018. "Essays on functional coefficient models," Other publications TiSEM ba87b8a5-3c55-40ec-967d-9, Tilburg University, School of Economics and Management.
    7. Edvard Bakhitov & Amandeep Singh, 2021. "Causal Gradient Boosting: Boosted Instrumental Variable Regression," Papers 2101.06078, arXiv.org.

Articles

  1. Han, Sukjin & Yang, Shenshen, 2024. "A computational approach to identification of treatment effects for policy evaluation," Journal of Econometrics, Elsevier, vol. 240(1).
    See citations under working paper version above.
  2. Balat, Jorge F. & Han, Sukjin, 2023. "Multiple treatments with strategic substitutes," Journal of Econometrics, Elsevier, vol. 234(2), pages 732-757.

    Cited by:

    1. Tadao Hoshino & Takahide Yanagi, 2018. "Treatment Effect Models with Strategic Interaction in Treatment Decisions," Papers 1810.08350, arXiv.org, revised Feb 2023.
    2. Han, Sukjin & Yang, Shenshen, 2024. "A computational approach to identification of treatment effects for policy evaluation," Journal of Econometrics, Elsevier, vol. 240(1).

  3. Han, Sukjin, 2021. "Identification in nonparametric models for dynamic treatment effects," Journal of Econometrics, Elsevier, vol. 225(2), pages 132-147.
    See citations under working paper version above.
  4. Sukjin Han, 2021. "Comment: Individualized Treatment Rules Under Endogeneity," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(533), pages 192-195, March.

    Cited by:

    1. Cui, Yifan & Tchetgen Tchetgen, Eric, 2021. "On a necessary and sufficient identification condition of optimal treatment regimes with an instrumental variable," Statistics & Probability Letters, Elsevier, vol. 178(C).

  5. Sukjin Han, 2020. "Nonparametric estimation of triangular simultaneous equations models under weak identification," Quantitative Economics, Econometric Society, vol. 11(1), pages 161-202, January.
    See citations under working paper version above.
  6. Sukjin Han & Sungwon Lee, 2019. "Estimation in a generalization of bivariate probit models with dummy endogenous regressors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(6), pages 994-1015, September.
    See citations under working paper version above.
  7. Victor Chernozhukov & Ivan Fernández-Val & Sukjin Han & Amanda Kowalski, 2019. "Censored quantile instrumental-variable estimation with Stata," Stata Journal, StataCorp LP, vol. 19(4), pages 768-781, December.
    See citations under working paper version above.
  8. Sukjin Han & Adam McCloskey, 2019. "Estimation and inference with a (nearly) singular Jacobian," Quantitative Economics, Econometric Society, vol. 10(3), pages 1019-1068, July.

    Cited by:

    1. Patrik Guggenberge & Frank Kleibergen & Sophocles Mavroeidis, 2021. "A Powerful Subvector Anderson Rubin Test in Linear Instrumental Variables Regression with Conditional Heteroskedasticity," Economics Series Working Papers 960, University of Oxford, Department of Economics.
    2. Doko Tchatoka, Firmin & Wang, Wenjie, 2021. "Uniform Inference after Pretesting for Exogeneity with Heteroskedastic Data," MPRA Paper 106408, University Library of Munich, Germany.
    3. Frank Kleibergen & Zhaoguo Zhan, 2021. "Double robust inference for continuous updating GMM," Papers 2105.08345, arXiv.org.
    4. Valérie Lechene & Krishna Pendakur & Alexander Wolf, 2020. "OLS estimation of the intra-household distribution of expenditure," IFS Working Papers W20/6, Institute for Fiscal Studies.
    5. Doko Tchatoka, Firmin & Wang, Wenjie, 2021. "Size-corrected Bootstrap Test after Pretesting for Exogeneity with Heteroskedastic or Clustered Data," MPRA Paper 110899, University Library of Munich, Germany.
    6. Firmin Doko Tchatoka & Wenjie Wang, 2020. "Uniform Inference after Pretesting for Exogeneity," School of Economics and Public Policy Working Papers 2020-05, University of Adelaide, School of Economics and Public Policy.
    7. Tetsuya Kaji, 2019. "Theory of Weak Identification in Semiparametric Models," Papers 1908.10478, arXiv.org, revised Aug 2020.
    8. Adam McCloskey, 2012. "Bonferroni-Based Size-Correction for Nonstandard Testing Problems," Working Papers 2012-16, Brown University, Department of Economics.
    9. Gregory Cox, 2022. "A Generalized Argmax Theorem with Applications," Papers 2209.08793, arXiv.org.
    10. Sukjin Han & Sungwon Lee, 2019. "Estimation in a generalization of bivariate probit models with dummy endogenous regressors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(6), pages 994-1015, September.
    11. Donald W.K. Andrews & Xu Cheng & Patrik Guggenberger, 2011. "Generic Results for Establishing the Asymptotic Size of Confidence Sets and Tests," Cowles Foundation Discussion Papers 1813, Cowles Foundation for Research in Economics, Yale University.
    12. Khan, Shakeeb & Nekipelov, Denis, 2024. "On uniform inference in nonlinear models with endogeneity," Journal of Econometrics, Elsevier, vol. 240(2).
    13. Christis Katsouris, 2023. "Optimal Estimation Methodologies for Panel Data Regression Models," Papers 2311.03471, arXiv.org, revised Nov 2023.
    14. Forneron, Jean-Jacques, 2024. "Detecting identification failure in moment condition models," Journal of Econometrics, Elsevier, vol. 238(1).
    15. Valérie Lechene & Krishna Pendakur & Alexander Wolf, 2019. "OLS estimation of the intra-household distribution of consumption," IFS Working Papers W19/19, Institute for Fiscal Studies.
    16. Gregory Cox, 2018. "Almost Sure Uniqueness of a Global Minimum Without Convexity," Papers 1803.02415, arXiv.org, revised Feb 2019.
    17. Gregory Cox, 2022. "Weak Identification in Low-Dimensional Factor Models with One or Two Factors," Papers 2211.00329, arXiv.org, revised Mar 2024.
    18. Woosik Gong & Myung Hwan Seo, 2022. "Bootstraps for Dynamic Panel Threshold Models," Papers 2211.04027, arXiv.org, revised Sep 2024.
    19. Gregory Cox, 2020. "Weak Identification with Bounds in a Class of Minimum Distance Models," Papers 2012.11222, arXiv.org, revised Dec 2022.
    20. Shakeeb Khan & Denis Nekipelov, 2019. "On Uniform Inference in Nonlinear Models with Endogeneity," Boston College Working Papers in Economics 986, Boston College Department of Economics.
    21. Isaiah Andrews & Anna Mikusheva, 2022. "Optimal Decision Rules for Weak GMM," Econometrica, Econometric Society, vol. 90(2), pages 715-748, March.

  9. Han, Sukjin & Vytlacil, Edward J., 2017. "Identification in a generalization of bivariate probit models with dummy endogenous regressors," Journal of Econometrics, Elsevier, vol. 199(1), pages 63-73.

    Cited by:

    1. Filippini, Massimo & Greene, William H. & Kumar, Nilkanth & Martinez-Cruz, Adan L., 2018. "A note on the different interpretation of the correlation parameters in the Bivariate Probit and the Recursive Bivariate Probit," Economics Letters, Elsevier, vol. 167(C), pages 104-107.
    2. Yanqin Fan & Marc Henry, 2020. "Vector copulas," Papers 2009.06558, arXiv.org, revised Apr 2021.
    3. Harris, Jeremiah & O'Brien, William, 2018. "U.S. worldwide taxation and domestic mergers and acquisitions," Journal of Accounting and Economics, Elsevier, vol. 66(2), pages 419-438.
    4. Renaud Bourlès & Anastasia Cozarenco & Dominique Henriet & Xavier Joutard, 2022. "Business Training with a Better-Informed Lender: Theory and Evidence from Microcredit in France," SciencePo Working papers Main halshs-03934370, HAL.
    5. Esther Hauk & Monica Oviedo & Xavier Ramos, 2017. "Perception of Corruption and Public Support for Redistribution in Latin America," Working Papers 974, Barcelona School of Economics.
    6. Christopher Magee & Amy Wolaver, 2023. "Crowds and the Timing of Goals and Referee Decisions1," Journal of Sports Economics, , vol. 24(6), pages 801-828, August.
    7. Tadao Hoshino & Takahide Yanagi, 2018. "Treatment Effect Models with Strategic Interaction in Treatment Decisions," Papers 1810.08350, arXiv.org, revised Feb 2023.
    8. Klege, Rebecca A. & Amuakwa-Mensah, Franklin & Visser, Martine, 2022. "Tenancy and energy choices in Rwanda. A replication and extension study," World Development Perspectives, Elsevier, vol. 26(C).
    9. Souza, M.N.M., 2018. "Why are rented dwellings less energy-efficient? Evidence from a representative sample of the U.S. housing stock," Energy Policy, Elsevier, vol. 118(C), pages 149-159.
    10. Santiago Acerenza & Otávio Bartalotti & Désiré Kédagni, 2023. "Testing identifying assumptions in bivariate probit models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(3), pages 407-422, April.
    11. Gu, Jiaying & Russell, Thomas M., 2023. "Partial identification in nonseparable binary response models with endogenous regressors," Journal of Econometrics, Elsevier, vol. 235(2), pages 528-562.
    12. David Zimmer, 2018. "Using copulas to estimate the coefficient of a binary endogenous regressor in a Poisson regression: Application to the effect of insurance on doctor visits," Health Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 545-556, March.
    13. Fan, Yanqin & Henry, Marc, 2023. "Vector copulas," Journal of Econometrics, Elsevier, vol. 234(1), pages 128-150.
    14. Giampiero Marra & Matteo Fasiolo & Rosalba Radice & Rainer Winkelmann, 2023. "A flexible copula regression model with Bernoulli and Tweedie margins for estimating the effect of spending on mental health," Health Economics, John Wiley & Sons, Ltd., vol. 32(6), pages 1305-1322, June.
    15. Santiago Pereda Fernández, 2019. "Identification and estimation of triangular models with a binary treatment," Temi di discussione (Economic working papers) 1210, Bank of Italy, Economic Research and International Relations Area.
    16. Legendre, Nicolas & Nitani, Miwako & Riding, Allan, 2021. "Are franchises really more viable? Evidence from loan defaults," Journal of Business Research, Elsevier, vol. 133(C), pages 23-33.
    17. Han, Sukjin & Yang, Shenshen, 2024. "A computational approach to identification of treatment effects for policy evaluation," Journal of Econometrics, Elsevier, vol. 240(1).
    18. Bérengère Davin & Xavier Joutard & Alain Paraponaris, 2019. "“If You Were Me”: Proxy Respondents’ Biases in Population Health Surveys," AMSE Working Papers 1905, Aix-Marseille School of Economics, France.
    19. Kien C. Tran & Mike G. Tsionas, 2022. "Instrumental Variables Estimation without Outside Instruments," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 20(3), pages 489-506, September.
    20. Sukjin Han & Sungwon Lee, 2019. "Estimation in a generalization of bivariate probit models with dummy endogenous regressors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(6), pages 994-1015, September.
    21. Juan Diaz & Nicolas Grau & Tatiana Reyes & Jorge Rivera, 2021. "The Impact of Grade Retention on Juvenile Crime," Working Papers wp513, University of Chile, Department of Economics.
    22. Giachello, Marta & Leporatti, Lucia & Levaggi, Rosella & Montefiori, Marcello, 2024. "The illness trap: The impact of disability benefits on willingness to receive HCV treatment," Economics & Human Biology, Elsevier, vol. 52(C).
    23. Kim P. Huynh & Yuri Ostrovsky & Robert J. Petrunia & Marcel C. Voia, 2017. "Industry shutdown rates and permanent layoffs: evidence from firm-worker matched data," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 6(1), pages 1-31, December.
    24. Alexander Torgovitsky, 2019. "Partial identification by extending subdistributions," Quantitative Economics, Econometric Society, vol. 10(1), pages 105-144, January.
    25. Maite Bl'azquez Cuesta & Marco A. P'erez Navarro & Roc'io S'anchez-Mangas, 2024. "Overeducation under different macroeconomic conditions: The case of Spanish university graduates," Papers 2407.04437, arXiv.org.
    26. Lina Zhang & David T. Frazier & Don S. Poskitt & Xueyan Zhao, 2021. "Decomposing Identification Gains and Evaluating Instrument Identification Power for Partially Identified Average Treatment Effects," Monash Econometrics and Business Statistics Working Papers 21/21, Monash University, Department of Econometrics and Business Statistics.
    27. Cohen, Jed & Azarova, Valeriya & Kollmann, Andrea & Reichl, Johannes, 2019. "Q-complementarity in household adoption of photovoltaics and electricity-intensive goods: The case of electric vehicles," Energy Economics, Elsevier, vol. 83(C), pages 567-577.
    28. Wang, Chunchao & Zhang, Chenglei & Ni, Jinlan & Zhang, Haifeng & Zhang, Junsen, 2019. "Family migration in China: Do migrant children affect parental settlement intention?," Journal of Comparative Economics, Elsevier, vol. 47(2), pages 416-428.
    29. Arora, Varun & Chakravarty, Sujoy & Kapoor, Hansika & Mukherjee, Shagata & Roy, Shubhabrata & Tagat, Anirudh, 2023. "No going back: COVID-19 disease threat perception and male migrants' willingness to return to work in India," Journal of Economic Behavior & Organization, Elsevier, vol. 209(C), pages 533-546.
    30. Martey, Edward, 2019. "Tenancy and energy choice for lighting and cooking: Evidence from Ghana," Energy Economics, Elsevier, vol. 80(C), pages 570-581.
    31. Petri Böckerman & Pekka Ilmakunnas, 2017. "Do good working conditions make you work longer? Evidence on retirement decisions using linked survey and register data," Working Papers 315, Työn ja talouden tutkimus LABORE, The Labour Institute for Economic Research LABORE.
    32. Massimo Filippini & Suchita Srinivasan, 2022. "Adoption of environmental standards and a lack of awareness: evidence from the food and beverage industry in Vietnam," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 24(3), pages 307-340, July.
    33. Cellini, Stefano, 2021. "Split incentives and endogenous inattention in home retrofits uptake: a story of selection on unobservables?," Energy Economics, Elsevier, vol. 104(C).
    34. Böckerman, Petri & Ilmakunnas, Pekka, 2020. "Do good working conditions make you work longer? Analyzing retirement decisions using linked survey and register data," The Journal of the Economics of Ageing, Elsevier, vol. 17(C).
    35. Chuhui Li & Donald S. Poskitt & Xueyan Zhao, 2016. "The Bivariate Probit Model, Maximum Likelihood Estimation, Pseudo True Parameters and Partial Identification," Monash Econometrics and Business Statistics Working Papers 16/16, Monash University, Department of Econometrics and Business Statistics.
    36. Giampiero Marra & Rosalba Radice & David M. Zimmer, 2020. "Estimating the binary endogenous effect of insurance on doctor visits by copula‐based regression additive models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 69(4), pages 953-971, August.
    37. Massimo Filippini & Suchita Srinivasan, 2020. "Voluntary adoption of environmental standards and limited attention: Evidence from the food and beverage industry in Vietnam," CER-ETH Economics working paper series 20/338, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    38. Sun, Shengyang & Zhang, Chao & Hu, Ruifa & Liu, Jian, 2023. "Do pesticide retailers’ recommendations aggravate pesticide overuse? Evidence from rural China," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 13(7), pages 1-1.
    39. Shengyang Sun & Chao Zhang & Ruifa Hu & Jian Liu, 2023. "Do Pesticide Retailers’ Recommendations Aggravate Pesticide Overuse? Evidence from Rural China," Agriculture, MDPI, vol. 13(7), pages 1-16, June.
    40. Bergeot, Julien & Tenand, Marianne, 2023. "Does informal care delay nursing home entry? Evidence from Dutch linked survey and administrative data," Journal of Health Economics, Elsevier, vol. 92(C).

  10. Donald W. K. Andrews & Sukjin Han, 2009. "Invalidity of the bootstrap and the m out of n bootstrap for confidence interval endpoints defined by moment inequalities," Econometrics Journal, Royal Economic Society, vol. 12(s1), pages 172-199, January.

    Cited by:

    1. Xavier d'Haultfoeuille & Roland Rathelot, 2011. "Measuring Segregation on Small Units : A Partial Identification Analysis," Working Papers 2011-18, Center for Research in Economics and Statistics.
    2. Federico A. Bugni & Ivan A. Canay & Xiaoxia Shi, 2014. "Inference for functions of partially identified parameters in moment inequality models," CeMMAP working papers 22/14, Institute for Fiscal Studies.
    3. Stefan Boes, 2009. "Bounds on Counterfactual Distributions Under Semi-Monotonicity Constraints," SOI - Working Papers 0920, Socioeconomic Institute - University of Zurich.
    4. Donald W.K. Andrews & Xiaoxia Shi, 2010. "Inference Based on Conditional Moment Inequalities," Cowles Foundation Discussion Papers 1761R2, Cowles Foundation for Research in Economics, Yale University, revised May 2012.
    5. Victor Chernozhukov & Sokbae Lee & Adam M. Rosen, 2013. "Intersection Bounds: Estimation and Inference," Econometrica, Econometric Society, vol. 81(2), pages 667-737, March.
    6. Kim, Dongwoo, 2023. "Partially identifying competing risks models: An application to the war on cancer," Journal of Econometrics, Elsevier, vol. 234(2), pages 536-564.
    7. Ting Ye & Luke Keele & Raiden Hasegawa & Dylan S. Small, 2020. "A Negative Correlation Strategy for Bracketing in Difference-in-Differences," Papers 2006.02423, arXiv.org, revised Jun 2022.
    8. Joel L. Horowitz, 2018. "Bootstrap Methods in Econometrics," Papers 1809.04016, arXiv.org.
    9. Joel L. Horowitz, 2018. "Bootstrap methods in econometrics," CeMMAP working papers CWP53/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

Software components

  1. Victor Chernozhukov & Ivan Fernandez-Val & Sukjin Han & Amanda Kowalski, 2012. "CQIV: Stata module to perform censored quantile instrumental variables regression," Statistical Software Components S457478, Boston College Department of Economics, revised 25 Sep 2019.

    Cited by:

    1. Melstrom, Richard T. & Jayasekera, Deshamithra H.W., 2016. "Two-Stage Estimation to Control for Unobservables in a Recreation Demand Model with Unvisited Sites," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236252, Agricultural and Applied Economics Association.
    2. Mendolia, Silvia & Paloyo, Alfredo R. & Walker, Ian, 2016. "Heterogeneous Effects of High School Peers on Educational Outcomes," IZA Discussion Papers 9795, Institute of Labor Economics (IZA).
    3. Gabrielle Fack & Camille Landais, 2016. "The effect of tax enforcement on tax elasticities: Evidence from charitable contributions in France," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01300122, HAL.
    4. Martin Falk & Eva Hagsten, 2014. "Output growth and prices of establishments in the Swedish lodging industry," ERSA conference papers ersa14p360, European Regional Science Association.
    5. Broberg, Thomas & Kazukauskas, Andrius, 2014. "Inefficiencies in residential use of energy - A critical overview of literature and energy efficiency policies in EU and Sweden," CERE Working Papers 2014:7, CERE - the Center for Environmental and Resource Economics.
    6. Sven Neelsen & Owen O'Donnell, 2017. "Progressive universalism? The impact of targeted coverage on health care access and expenditures in Peru," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 179-203, December.
    7. Kiran Krishnamurthy, Chandra & Kriström, Bengt, 2013. "Determinants of the price-premium for Green Energy: Evidence from an OECD cross-section," CERE Working Papers 2013:7, CERE - the Center for Environmental and Resource Economics, revised 30 Jun 2014.
    8. Michael J. Peel, 2014. "Addressing unobserved endogeneity bias in accounting studies: control and sensitivity methods by variable type," Accounting and Business Research, Taylor & Francis Journals, vol. 44(5), pages 545-571, October.

More information

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Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 15 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (12) 2008-08-06 2013-10-05 2018-07-09 2018-09-03 2020-10-19 2024-01-08 2024-01-08 2024-04-01 2024-04-01 2024-04-08 2024-04-15 2024-10-28. Author is listed
  2. NEP-BIG: Big Data (3) 2021-07-12 2021-07-19 2024-10-28
  3. NEP-COM: Industrial Competition (3) 2021-07-12 2021-07-19 2024-04-08
  4. NEP-CMP: Computational Economics (2) 2021-07-12 2024-10-28
  5. NEP-DCM: Discrete Choice Models (2) 2018-09-03 2024-04-15
  6. NEP-GTH: Game Theory (2) 2018-06-11 2024-04-08
  7. NEP-AIN: Artificial Intelligence (1) 2024-10-28
  8. NEP-IND: Industrial Organization (1) 2021-07-19
  9. NEP-KNM: Knowledge Management and Knowledge Economy (1) 2018-07-09
  10. NEP-TRE: Transport Economics (1) 2018-06-11

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