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Brendan Kline

Personal Details

First Name:Brendan
Middle Name:
Last Name:Kline
Suffix:
RePEc Short-ID:pkl115
[This author has chosen not to make the email address public]
http://www.brendankline.com/
Terminal Degree:2012 Department of Economics; Northwestern 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

Working papers

  1. Brendan Kline & Elie Tamer, 2024. "Counterfactual Analysis in Empirical Games," Papers 2410.12731, arXiv.org.
  2. Brendan Kline & Ariel Pakes & Elie Tamer, 2021. "Moment Inequalities and Partial Identification in Industrial Organization," NBER Working Papers 29409, National Bureau of Economic Research, Inc.
  3. Tamer, Elie & Kline, Brendan, 2016. "Bayesian inference in a class of partially identified models," Scholarly Articles 30780157, Harvard University Department of Economics.

Articles

  1. Kline, Brendan, 2024. "Classical p-values and the Bayesian posterior probability that the hypothesis is approximately true," Journal of Econometrics, Elsevier, vol. 240(1).
  2. Brendan Kline & Elie Tamer, 2023. "Recent Developments in Partial Identification," Annual Review of Economics, Annual Reviews, vol. 15(1), pages 125-150, September.
  3. Brendan Kline, 2022. "Bayes Factors Based on p-Values and Sets of Priors With Restricted Strength," The American Statistician, Taylor & Francis Journals, vol. 76(3), pages 203-213, July.
  4. Brendan Kline, 2018. "An empirical model of non‐equilibrium behavior in games," Quantitative Economics, Econometric Society, vol. 9(1), pages 141-181, March.
  5. Brendan Kline & Elie Tamer, 2018. "Identification of treatment effects with selective participation in a randomized trial," Econometrics Journal, Royal Economic Society, vol. 21(3), pages 332-353, October.
  6. Brendan Kline, 2016. "Identification of the Direction of a Causal Effect by Instrumental Variables," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(2), pages 176-184, April.
  7. Brendan Kline, 2016. "The empirical content of games with bounded regressors," Quantitative Economics, Econometric Society, vol. 7(1), pages 37-81, March.
  8. Brendan Kline & Elie Tamer, 2016. "Bayesian inference in a class of partially identified models," Quantitative Economics, Econometric Society, vol. 7(2), pages 329-366, July.
  9. Kline, Brendan, 2015. "Identification of complete information games," Journal of Econometrics, Elsevier, vol. 189(1), pages 117-131.
  10. Olmstead, Todd A. & Alessi, Sheila M. & Kline, Brendan & Pacula, Rosalie Liccardo & Petry, Nancy M., 2015. "The price elasticity of demand for heroin: Matched longitudinal and experimental evidence," Journal of Health Economics, Elsevier, vol. 41(C), pages 59-71.
  11. Brendan Kline & Justin L. Tobias, 2014. "Explaining Trends in Body Mass Index Using Demographic Counterfactuals," Econometric Reviews, Taylor & Francis Journals, vol. 33(1-4), pages 172-196, June.
  12. Brendan Kline & Elie Tamer, 2013. "Comment," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(3), pages 276-279, July.
  13. Kline, Brendan & Tamer, Elie, 2012. "Bounds for best response functions in binary games," Journal of Econometrics, Elsevier, vol. 166(1), pages 92-105.
  14. Kline, Brendan, 2009. "A restriction on lobbyist donations," Economics Letters, Elsevier, vol. 104(3), pages 129-132, September.
  15. Brendan Kline & Justin L. Tobias, 2008. "The wages of BMI: Bayesian analysis of a skewed treatment-response model with nonparametric endogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(6), pages 767-793.

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. Brendan Kline & Ariel Pakes & Elie Tamer, 2021. "Moment Inequalities and Partial Identification in Industrial Organization," NBER Working Papers 29409, National Bureau of Economic Research, Inc.

    Cited by:

    1. Emir Malikov & Shunan Zhao & Jingfang Zhang, 2023. "A System Approach to Structural Identification of Production Functions with Multi-Dimensional Productivity," Papers 2302.13429, arXiv.org.
    2. Toru Kitagawa & Guanyi Wang, 2023. "Individualized Treatment Allocation in Sequential Network Games," Papers 2302.05747, arXiv.org, revised Jul 2024.
    3. , 2023. "Price Competition and Endogenous Product Choice in Networks: Evidence from the US airline Industry," Working Papers 950, Queen Mary University of London, School of Economics and Finance.

  2. Tamer, Elie & Kline, Brendan, 2016. "Bayesian inference in a class of partially identified models," Scholarly Articles 30780157, Harvard University Department of Economics.

    Cited by:

    1. Norets, Andriy & Shimizu, Kenichi, 2024. "Semiparametric Bayesian estimation of dynamic discrete choice models," Journal of Econometrics, Elsevier, vol. 238(2).
    2. Xiaohong Chen & Timothy M. Christensen & Elie Tamer, 2017. "Monte Carlo confidence sets for identified sets," CeMMAP working papers CWP43/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Xiaohong Chen & Timothy M. Christensen & Keith O'Hara & Elie Tamer, 2016. "MCMC confidence sets for identified sets," CeMMAP working papers CWP28/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Matthew Masten & Alexandre Poirier, 2017. "Inference on breakdown frontiers," CeMMAP working papers 20/17, Institute for Fiscal Studies.
    5. Vasilis Syrgkanis & Elie Tamer & Juba Ziani, 2017. "Inference on Auctions with Weak Assumptions on Information," Papers 1710.03830, arXiv.org, revised Mar 2018.
    6. Aureo de Paula & Imran Rasul & Pedro Souza, 2019. "Identifying Network Ties from Panel Data: Theory and an Application to Tax Competition," Papers 1910.07452, arXiv.org, revised Oct 2023.
    7. Chalak, Karim & Kim, Daniel, 2020. "Measurement error in multiple equations: Tobin’s q and corporate investment, saving, and debt," Journal of Econometrics, Elsevier, vol. 214(2), pages 413-432.
    8. Ivan A. Canay & Azeem M. Shaikh, 2016. "Practical and theoretical advances in inference for partially identified models," CeMMAP working papers CWP05/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    9. Jean-Pierre Florens & Anna Simoni, 2021. "Revisiting Identification Concepts in Bayesian Analysis," Post-Print hal-03504692, HAL.
    10. Yu‐Chin Hsu & Xiaoxia Shi, 2017. "Model‐selection tests for conditional moment restriction models," Econometrics Journal, Royal Economic Society, vol. 20(1), pages 52-85, February.
    11. Christiane Baumeister & James D. Hamilton, 2018. "Inference in Structural Vector Autoregressions when the Identifying Assumptions are not Fully Believed: Re-evaluating the Role of Monetary Policy in Economic Fluctuations," CESifo Working Paper Series 7048, CESifo.
    12. Kate Ho & Adam Rosen, 2015. "Partial identification in applied research: benefits and challenges," CeMMAP working papers 64/15, Institute for Fiscal Studies.
    13. Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2017. "Confidence intervals for projections of partially identified parameters," CeMMAP working papers 49/17, Institute for Fiscal Studies.
    14. Zach Flynn, 2020. "Identifying productivity when it is a factor of production," RAND Journal of Economics, RAND Corporation, vol. 51(2), pages 496-530, June.
    15. Jiang, Wenxin, 2017. "On limiting distribution of quasi-posteriors under partial identification," Econometrics and Statistics, Elsevier, vol. 3(C), pages 60-72.
    16. Valentin Zelenyuk & Valentyn Panchenko, 2023. "Bayesian Artificial Neural Networks for Frontier Efficiency Analysis," CEPA Working Papers Series WP022023, School of Economics, University of Queensland, Australia.
    17. Planas Christophe & Rossi Alessandro, 2024. "The slice sampler and centrally symmetric distributions," Monte Carlo Methods and Applications, De Gruyter, vol. 30(3), pages 299-313.
    18. David M. Kaplan & Longhao Zhuo, 2018. "Frequentist size of Bayesian inequality tests," Working Papers 1802, Department of Economics, University of Missouri, revised 14 Jul 2019.
    19. Raffaella Giacomini & Toru Kitagawa & Alessio Volpicella, 2020. "Uncertain Identification," CeMMAP working papers CWP33/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    20. Shuyang Sheng, 2020. "A Structural Econometric Analysis of Network Formation Games Through Subnetworks," Econometrica, Econometric Society, vol. 88(5), pages 1829-1858, September.
    21. Raffaella Giacomini & Toru Kitagawa & Harald Uhlig, 2019. "Estimation Under Ambiguity," CeMMAP working papers CWP24/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    22. Aradillas-López, Andrés & Rosen, Adam M., 2022. "Inference in ordered response games with complete information," Journal of Econometrics, Elsevier, vol. 226(2), pages 451-476.
    23. Kline, Brendan, 2015. "Identification of complete information games," Journal of Econometrics, Elsevier, vol. 189(1), pages 117-131.
    24. Paul S. Koh, 2022. "Estimating Discrete Games of Complete Information: Bringing Logit Back in the Game," Papers 2205.05002, arXiv.org, revised Aug 2024.
    25. Thorsten Drautzburg & Pooyan Amir-Ahmadi, 2017. "Identification through Heterogeneity," 2017 Meeting Papers 1087, Society for Economic Dynamics.
    26. Raffaella Giacomini & Toru Kitagawa, 2018. "Robust Bayesian inference for set-identified models," CeMMAP working papers CWP61/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    27. Flynn, Zach, 2018. "Identifying productivity when it is a factor of production," SocArXiv bwxfz_v1, Center for Open Science.
    28. Liu, Xiaobin & Li, Yong & Yu, Jun & Zeng, Tao, 2022. "Posterior-based Wald-type statistics for hypothesis testing," Journal of Econometrics, Elsevier, vol. 230(1), pages 83-113.
    29. Hsieh, Yu-Wei & Shi, Xiaoxia & Shum, Matthew, 2022. "Inference on estimators defined by mathematical programming," Journal of Econometrics, Elsevier, vol. 226(2), pages 248-268.
    30. Xiaohong Chen & Timothy M. Christensen & Elie Tamer, 2017. "Monte Carlo confidence sets for identified sets," CeMMAP working papers 43/17, Institute for Fiscal Studies.
    31. Francis DiTraglia & Camilo Garcia-Jimeno, 2015. "A Framework for Eliciting, Incorporating, and Disciplining Identification Beliefs in Linear Models, Third Version," PIER Working Paper Archive 15-030, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 09 Sep 2015.
    32. Christopher D. Walker, 2024. "Semiparametric Bayesian Inference for a Conditional Moment Equality Model," Papers 2410.16017, arXiv.org.
    33. Natalia Lazzati & John K.-H. Quah & Koji Shirai, 2018. "Nonparametric analysis of monotone choice," Discussion Paper Series 184, School of Economics, Kwansei Gakuin University.
    34. Semenova, Vira, 2023. "Debiased machine learning of set-identified linear models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1725-1746.
    35. Liao, Yuan & Simoni, Anna, 2019. "Bayesian inference for partially identified smooth convex models," Journal of Econometrics, Elsevier, vol. 211(2), pages 338-360.
    36. Federico A. Bugni & Ivan A. Canay & Xiaoxia Shi, 2015. "Inference for functions of partially identified parameters in moment inequality models," CeMMAP working papers CWP54/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    37. Pooyan Amir‐Ahmadi & Thorsten Drautzburg, 2021. "Identification and inference with ranking restrictions," Quantitative Economics, Econometric Society, vol. 12(1), pages 1-39, January.
    38. Shuowen Chen & Hiroaki Kaido, 2022. "Robust Tests of Model Incompleteness in the Presence of Nuisance Parameters," Papers 2208.11281, arXiv.org, revised Sep 2023.
    39. Giacomini, Raffaella & Kitagawa, Toru & Read, Matthew, 2022. "Robust Bayesian inference in proxy SVARs," Journal of Econometrics, Elsevier, vol. 228(1), pages 107-126.
    40. Emanuele Bacchiocchi & Toru Kitagawa, 2025. "Locally- but not Globally-identified SVARs," Papers 2504.01441, arXiv.org.
    41. Bei, Xinyue, 2024. "Local linearization based subvector inference in moment inequality models," Journal of Econometrics, Elsevier, vol. 238(1).
    42. Raffaella Giacomini & Toru Kitagawa, 2014. "Inference about Non-Identi?ed SVARs," CeMMAP working papers CWP45/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    43. Brendan Kline & Elie Tamer, 2024. "Counterfactual Analysis in Empirical Games," Papers 2410.12731, arXiv.org.
    44. 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.
    45. Kaplan, David M. & Zhuo, Longhao, 2021. "Frequentist properties of Bayesian inequality tests," Journal of Econometrics, Elsevier, vol. 221(1), pages 312-336.
    46. Toru Kitagawa & Jose Luis Montiel Olea & Jonathan Payne & Amilcar Velez, 2019. "Posterior distribution of nondifferentiable functions," CeMMAP working papers CWP17/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    47. Alvarez, Luis Antonio, 2023. "Approximate Bayesian Computation for Partially Identified Models," MPRA Paper 117339, University Library of Munich, Germany.
    48. Khan, S. & Ponomareva, M. & Tamer, E., 2023. "Identification of dynamic binary response models," Journal of Econometrics, Elsevier, vol. 237(1).
    49. Francis DiTraglia & Camilo Garcia-Jimeno, 2015. "A Framework for Eliciting, Incorporating, and Disciplining Identification Beliefs in Linear Models, Second Version," PIER Working Paper Archive 15-028, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 31 Aug 2015.
    50. Christian Bontemps & Thierry Magnac, 2017. "Set Identification, Moment Restrictions, and Inference," Annual Review of Economics, Annual Reviews, vol. 9(1), pages 103-129, September.
    51. Paul S. Koh, 2022. "Stable Outcomes and Information in Games: An Empirical Framework," Papers 2205.04990, arXiv.org, revised May 2023.
    52. Francis J. DiTraglia & Camilo Garcia-Jimeno, 2020. "A Framework for Eliciting, Incorporating, and Disciplining Identification Beliefs in Linear Models," Papers 2011.07276, arXiv.org.
    53. Gong, Xiao-Li & Liu, Jian-Min & Xiong, Xiong & Zhang, Wei, 2021. "The dynamic effects of international oil price shocks on economic fluctuation," Resources Policy, Elsevier, vol. 74(C).
    54. Francis DiTraglia & Camilo García-Jimeno, 2016. "A Framework for Eliciting, Incorporating, and Disciplining Identification Beliefs in Linear Models," NBER Working Papers 22621, National Bureau of Economic Research, Inc.
    55. Kline, Brendan, 2024. "Classical p-values and the Bayesian posterior probability that the hypothesis is approximately true," Journal of Econometrics, Elsevier, vol. 240(1).
    56. Koh, Paul S., 2023. "Stable outcomes and information in games: An empirical framework," Journal of Econometrics, Elsevier, vol. 237(1).
    57. Yuan Liao & Anna Simoni, 2016. "Bayesian Inference for Partially Identified Convex Models: Is it Valid for Frequentist Inference?," Departmental Working Papers 201607, Rutgers University, Department of Economics.
    58. Timothy Christensen & Benjamin Connault, 2023. "Counterfactual Sensitivity and Robustness," Econometrica, Econometric Society, vol. 91(1), pages 263-298, January.

Articles

  1. Brendan Kline & Elie Tamer, 2023. "Recent Developments in Partial Identification," Annual Review of Economics, Annual Reviews, vol. 15(1), pages 125-150, September.

    Cited by:

    1. Brendan Kline & Elie Tamer, 2024. "Counterfactual Analysis in Empirical Games," Papers 2410.12731, arXiv.org.

  2. Brendan Kline, 2022. "Bayes Factors Based on p-Values and Sets of Priors With Restricted Strength," The American Statistician, Taylor & Francis Journals, vol. 76(3), pages 203-213, July.

    Cited by:

    1. Kline, Brendan, 2024. "Classical p-values and the Bayesian posterior probability that the hypothesis is approximately true," Journal of Econometrics, Elsevier, vol. 240(1).

  3. Brendan Kline, 2018. "An empirical model of non‐equilibrium behavior in games," Quantitative Economics, Econometric Society, vol. 9(1), pages 141-181, March.

    Cited by:

    1. Victor Aguirregabiria, 2020. "Identification of Firms' Beliefs in Structural Models of Market Competition," Working Papers tecipa-670, University of Toronto, Department of Economics.
    2. Barkley, Aaron & Groeger, Joachim R. & Miller, Robert A., 2021. "Bidding frictions in ascending auctions," Journal of Econometrics, Elsevier, vol. 223(2), pages 376-400.
    3. Dimitris Batzilis & Sonia Jaffe & Steven Levitt & John A. List & Jeffrey Picel, 2019. "Behavior in Strategic Settings: Evidence from a Million Rock-Paper-Scissors Games," Games, MDPI, vol. 10(2), pages 1-34, April.

  4. Brendan Kline, 2016. "Identification of the Direction of a Causal Effect by Instrumental Variables," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(2), pages 176-184, April.

    Cited by:

    1. Vitalis, Kyriacos & Stefanidis, Dimosthenis & Pallis, George & Dikaiakos, Marios & Nicolaou, Nicos & Nicolaides, Christos, 2024. "Quantifying the impact of online social networks on the success of entrepreneurs," OSF Preprints x6vda_v1, Center for Open Science.
    2. Denis Chetverikov & Daniel Wilhelm, 2017. "Nonparametric Instrumental Variable Estimation Under Monotonicity," Econometrica, Econometric Society, vol. 85, pages 1303-1320, July.
    3. Denis Chetverikov & Daniel Wilhelm, 2016. "Nonparametric instrumental variable estimation under monotonicity," CeMMAP working papers 48/16, Institute for Fiscal Studies.
    4. Vitalis, Kyriacos & Stefanidis, Dimosthenis & Pallis, George & Dikaiakos, Marios & Nicolaou, Nicos & Nicolaides, Christos, 2024. "Quantifying the impact of online social networks on the success of entrepreneurs," OSF Preprints x6vda, Center for Open Science.

  5. Brendan Kline, 2016. "The empirical content of games with bounded regressors," Quantitative Economics, Econometric Society, vol. 7(1), pages 37-81, March.

    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. Kline, Brendan, 2015. "Identification of complete information games," Journal of Econometrics, Elsevier, vol. 189(1), pages 117-131.
    3. Vives, Xavier & Vravosinos, Orestis, 2024. "Strategic complementarity in games," Journal of Mathematical Economics, Elsevier, vol. 113(C).
    4. Nail Kashaev, 2022. "Identification and Estimation of Multinomial Choice Models with Latent Special Covariates," University of Western Ontario, Departmental Research Report Series 20224, University of Western Ontario, Department of Economics.
    5. Tadao Hoshino, 2020. "A Pairwise Strategic Network Formation Model with Group Heterogeneity: With an Application to International Travel," Papers 2012.14886, arXiv.org, revised Feb 2021.

  6. Brendan Kline & Elie Tamer, 2016. "Bayesian inference in a class of partially identified models," Quantitative Economics, Econometric Society, vol. 7(2), pages 329-366, July.
    See citations under working paper version above.
  7. Kline, Brendan, 2015. "Identification of complete information games," Journal of Econometrics, Elsevier, vol. 189(1), pages 117-131.

    Cited by:

    1. Nianqing Liu & Quang Vuong & Haiqing Xu, 2012. "Rationalization and Identification of Discrete Games with Correlated Types," Department of Economics Working Papers 130915, The University of Texas at Austin, Department of Economics.
    2. Candelaria, Luis E. & Ura, Takuya, 2020. "Identification and Inference of Network Formation Games with Misclassified Links," The Warwick Economics Research Paper Series (TWERPS) 1258, University of Warwick, Department of Economics.
    3. Tadao Hoshino & Takahide Yanagi, 2018. "Treatment Effect Models with Strategic Interaction in Treatment Decisions," Papers 1810.08350, arXiv.org, revised Feb 2023.
    4. Aradillas-López, Andrés & Rosen, Adam M., 2022. "Inference in ordered response games with complete information," Journal of Econometrics, Elsevier, vol. 226(2), pages 451-476.
    5. Candelaria, Luis E. & Ura, Takuya, 2023. "Identification and inference of network formation games with misclassified links," Journal of Econometrics, Elsevier, vol. 235(2), pages 862-891.
    6. Leogrande, Angelo, 2021. "The Destruction of Price-Representativeness," MPRA Paper 111224, University Library of Munich, Germany.
    7. Jun, Sung Jae & Pinkse, Joris, 2020. "Counterfactual prediction in complete information games: Point prediction under partial identification," Journal of Econometrics, Elsevier, vol. 216(2), pages 394-429.
    8. Fabian Dunker & Stefan Hoderlein & Hiroaki Kaido, 2013. "Random coefficients in static games of complete information," CeMMAP working papers CWP12/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    9. Dunker, Fabian & Hoderlein, Stefan & Kaido, Hiroaki & Sherman, Robert, 2018. "Nonparametric identification of the distribution of random coefficients in binary response static games of complete information," Journal of Econometrics, Elsevier, vol. 206(1), pages 83-102.
    10. Áureo de Paula, 2012. "Econometric analysis of games with multiple equilibria," CeMMAP working papers CWP29/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    11. Matthew A. Masten & Alexandre Poirier, 2018. "Interpreting Quantile Independence," Papers 1804.10957, arXiv.org.
    12. Brendan Kline & Elie Tamer, 2024. "Counterfactual Analysis in Empirical Games," Papers 2410.12731, arXiv.org.
    13. Erhao Xie, 2022. "Nonparametric Identification of Incomplete Information Discrete Games with Non-equilibrium Behaviors," Staff Working Papers 22-22, Bank of Canada.
    14. Nail Kashaev & Bruno Salcedo, 2019. "Discerning Solution Concepts," Papers 1909.09320, arXiv.org.
    15. Yoon, Jangsu, 2024. "Identification and estimation of sequential games of incomplete information with multiple equilibria," Journal of Econometrics, Elsevier, vol. 238(2).
    16. Liu, Nianqing & Vuong, Quang & Xu, Haiqing, 2017. "Rationalization and identification of binary games with correlated types," Journal of Econometrics, Elsevier, vol. 201(2), pages 249-268.
    17. Tadao Hoshino, 2020. "A Pairwise Strategic Network Formation Model with Group Heterogeneity: With an Application to International Travel," Papers 2012.14886, arXiv.org, revised Feb 2021.
    18. Koh, Paul S., 2023. "Stable outcomes and information in games: An empirical framework," Journal of Econometrics, Elsevier, vol. 237(1).

  8. Olmstead, Todd A. & Alessi, Sheila M. & Kline, Brendan & Pacula, Rosalie Liccardo & Petry, Nancy M., 2015. "The price elasticity of demand for heroin: Matched longitudinal and experimental evidence," Journal of Health Economics, Elsevier, vol. 41(C), pages 59-71.

    Cited by:

    1. David M. Cutler & J. Travis Donahoe, 2024. "Thick Market Externalities and the Persistence of the Opioid Epidemic," NBER Working Papers 32055, National Bureau of Economic Research, Inc.
    2. Johanna Catherine Maclean & Brady P. Horn & Jonathan H. Cantor, 2020. "Business Cycles And Admissions To Substance Abuse Treatment," Contemporary Economic Policy, Western Economic Association International, vol. 38(1), pages 139-154, January.
    3. Keaton Miller & Boyoung Seo, 2021. "The Effect of Cannabis Legalization on Substance Demand and Tax Revenues," National Tax Journal, University of Chicago Press, vol. 74(1), pages 107-145.
    4. GRANGER Maury & PRICE Gregory, 2016. "Breaking Bad In Mississippi: Do County-Level Alcohol Sale Bans Encourage Crystal Methamphetamine Production And Consumption?," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 11(3), pages 55-66, December.
    5. Cecilia S. Diaz-Campo, M. Antonella Mancino, 2023. "What We RANDomly Did Not Learn: Opioid Elasticities and Underlying Mechanisms," LCERPA Working Papers bm0139, Laurier Centre for Economic Research and Policy Analysis.

  9. Kline, Brendan & Tamer, Elie, 2012. "Bounds for best response functions in binary games," Journal of Econometrics, Elsevier, vol. 166(1), pages 92-105.

    Cited by:

    1. Natalia Lazzati & John K.-H. Quah & Koji Shirai, 2016. "A revealed preference theory of monotone choice and strategic complementarity," Discussion Paper Series 147, School of Economics, Kwansei Gakuin University, revised Oct 2016.
    2. Molinari, Francesca, 2020. "Microeconometrics with partial identification," Handbook of Econometrics, in: Steven N. Durlauf & Lars Peter Hansen & James J. Heckman & Rosa L. Matzkin (ed.), Handbook of Econometrics, edition 1, volume 7, chapter 0, pages 355-486, Elsevier.
    3. Kline, Brendan, 2015. "Identification of complete information games," Journal of Econometrics, Elsevier, vol. 189(1), pages 117-131.
    4. Tamer, Elie & Kline, Brendan, 2016. "Bayesian inference in a class of partially identified models," Scholarly Articles 30780157, Harvard University Department of Economics.
    5. Andrew Chesher & Adam Rosen, 2012. "Simultaneous equations for discrete outcomes: coherence, completeness, and identification," CeMMAP working papers 21/12, Institute for Fiscal Studies.
    6. Jun, Sung Jae & Pinkse, Joris, 2020. "Counterfactual prediction in complete information games: Point prediction under partial identification," Journal of Econometrics, Elsevier, vol. 216(2), pages 394-429.
    7. Marc HENRY & Ismael MOURIFIÉ, 2013. "Nonparametric Sharp Bounds For Payoffs In 2 × 2 Games," Working Papers tecipa-500, University of Toronto, Department of Economics.
    8. Fabian Dunker & Stefan Hoderlein & Hiroaki Kaido, 2013. "Random coefficients in static games of complete information," CeMMAP working papers CWP12/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    9. Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    10. Jiayu Huang & Yifan Wang & Yaojun Fan & Hexuan Li, 2022. "Gauging the effect of investor overconfidence on trading volume from the perspective of the relationship between lagged stock returns and current trading volume," International Finance, Wiley Blackwell, vol. 25(1), pages 103-123, April.
    11. Dunker, Fabian & Hoderlein, Stefan & Kaido, Hiroaki & Sherman, Robert, 2018. "Nonparametric identification of the distribution of random coefficients in binary response static games of complete information," Journal of Econometrics, Elsevier, vol. 206(1), pages 83-102.
    12. Matthew A. Masten & Alexandre Poirier, 2018. "Interpreting Quantile Independence," Papers 1804.10957, arXiv.org.
    13. Brendan Kline & Elie Tamer, 2024. "Counterfactual Analysis in Empirical Games," Papers 2410.12731, arXiv.org.
    14. Barkley, Aaron & Groeger, Joachim R. & Miller, Robert A., 2021. "Bidding frictions in ascending auctions," Journal of Econometrics, Elsevier, vol. 223(2), pages 376-400.
    15. Erhao Xie, 2018. "Inference in Games Without Nash Equilibrium: An Application to Restaurants, Competition in Opening Hours," Staff Working Papers 18-60, Bank of Canada.

  10. Brendan Kline & Justin L. Tobias, 2008. "The wages of BMI: Bayesian analysis of a skewed treatment-response model with nonparametric endogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(6), pages 767-793.

    Cited by:

    1. Harris, Matthew, 2015. "The impact of body weight on occupational mobility and career development," MPRA Paper 61924, University Library of Munich, Germany.
    2. John Cawley & Davide Dragone & Stephanie Von Hinke Kessler Scholder, 2016. "The Demand for Cigarettes as Derived from the Demand for Weight Loss: A Theoretical and Empirical Investigation," Health Economics, John Wiley & Sons, Ltd., vol. 25(1), pages 8-23, January.
    3. Chih-Chien Huang & Scott T. Yabiku & Stephanie L. Ayers & Jennie J. Kronenfeld, 2016. "The obesity pay gap: gender, body size, and wage inequalities—a longitudinal study of Chinese adults, 1991–2011," Journal of Population Research, Springer, vol. 33(3), pages 221-242, September.
    4. Grossbard, Shoshana & Mukhopadhyay, Sankar, 2017. "Body-Weight and Women's Hours of Work: More Evidence That Marriage Markets Matter," IZA Discussion Papers 10775, Institute of Labor Economics (IZA).
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  3. NEP-GTH: Game Theory (1) 2024-11-25
  4. NEP-REG: Regulation (1) 2021-11-22
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