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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/

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 & Ariel Pakes & Elie Tamer, 2021. "Moment Inequalities and Partial Identification in Industrial Organization," NBER Working Papers 29409, National Bureau of Economic Research, Inc.
  2. 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, 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.
  3. Brendan Kline, 2018. "An empirical model of non‐equilibrium behavior in games," Quantitative Economics, Econometric Society, vol. 9(1), pages 141-181, March.
  4. 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.
  5. 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.
  6. Brendan Kline, 2016. "The empirical content of games with bounded regressors," Quantitative Economics, Econometric Society, vol. 7(1), pages 37-81, March.
  7. 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.
  8. Kline, Brendan, 2015. "Identification of complete information games," Journal of Econometrics, Elsevier, vol. 189(1), pages 117-131.
  9. 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.
  10. 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.
  11. Brendan Kline & Elie Tamer, 2013. "Comment," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(3), pages 276-279, July.
  12. Kline, Brendan & Tamer, Elie, 2012. "Bounds for best response functions in binary games," Journal of Econometrics, Elsevier, vol. 166(1), pages 92-105.
  13. Kline, Brendan, 2009. "A restriction on lobbyist donations," Economics Letters, Elsevier, vol. 104(3), pages 129-132, September.
  14. 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, 2024. "A System Approach to Structural Identification of Production Functions with Multi-Dimensional Productivity," Advances in Econometrics, in: Essays in Honor of Subal Kumbhakar, volume 46, pages 211-263, Emerald Group Publishing Limited.
    2. , 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.
    3. Toru Kitagawa & Guanyi Wang, 2023. "Individualized Treatment Allocation in Sequential Network Games," Papers 2302.05747, arXiv.org, revised Jul 2023.

  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. Paul S. Koh, 2022. "Stable Outcomes and Information in Games: An Empirical Framework," Papers 2205.04990, arXiv.org, revised May 2023.
    2. Xiaohong Chen & Timothy Christensen & Keith O’Hara & Elie Tamer, 2016. "MCMC Confidence sets for Identified Sets," Cowles Foundation Discussion Papers 2037R, Cowles Foundation for Research in Economics, Yale University, revised Jul 2016.
    3. Mike Tsionas & Christopher F. Parmeter & Valentin Zelenyuk, 2023. "Bayesian Artificial Neural Networks for Frontier Efficiency Analysis," CEPA Working Papers Series WP012023, School of Economics, University of Queensland, Australia.
    4. Andres Aradillas-Lopez & Adam Rosen, 2013. "Inference in ordered response games with complete information," CeMMAP working papers 33/13, Institute for Fiscal Studies.
    5. 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.
    6. Áureo de Paula & Imran Rasul & Pedro CL Souza, 2023. "Identifying network ties from panel data: Theory and an application to tax competition," CeMMAP working papers 21/23, Institute for Fiscal Studies.
    7. Thorsten Drautzburg & Pooyan Amir-Ahmadi, 2017. "Identification through Heterogeneity," 2017 Meeting Papers 1087, Society for Economic Dynamics.
    8. Kate Ho & Adam M. Rosen, 2015. "Partial Identification in Applied Research: Benefits and Challenges," NBER Working Papers 21641, National Bureau of Economic Research, Inc.
    9. 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.
    10. 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.
    11. Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2016. "Confi dence Intervals for Projections of Partially Identi fied Parameters," Boston University - Department of Economics - Working Papers Series wp2016-001, Boston University - Department of Economics.
    12. Christian Bontemps & Thierry Magnac, 2017. "Set identification, moment restrictions, and inference," Post-Print hal-01575813, HAL.
    13. Federico A. Bugni & Ivan A. Canay & Xiaoxia Shi, 2014. "Inference for functions of partially identified parameters in moment inequality models," CeMMAP working papers CWP05/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    14. Raffaella Giacomini & Toru Kitagawa & Alessio Volpicella, 2017. "Uncertain identification," CeMMAP working papers 18/17, Institute for Fiscal Studies.
    15. Giacomini, Raffaella & Kitagawa, Toru & Read, Matthew, 2020. "Robust Bayesian Inference in Proxy SVARs," CEPR Discussion Papers 14626, C.E.P.R. Discussion Papers.
    16. Matthew Masten & Alexandre Poirier, 2017. "Inference on breakdown frontiers," CeMMAP working papers 20/17, Institute for Fiscal Studies.
    17. Jean-Pierre Florens & Anna Simoni, 2021. "Revisiting identification concepts in Bayesian analysis," Papers 2110.09954, arXiv.org.
    18. 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.
    19. 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.
    20. Vasilis Syrgkanis & Elie Tamer & Juba Ziani, 2017. "Inference on Auctions with Weak Assumptions on Information," Papers 1710.03830, arXiv.org, revised Mar 2018.
    21. 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.
    22. Xiaohong Chen & Timothy M. Christensen & Elie Tamer, 2017. "Monte Carlo confidence sets for identified sets," CeMMAP working papers 43/17, Institute for Fiscal Studies.
    23. Kaplan, David M. & Zhuo, Longhao, 2021. "Frequentist properties of Bayesian inequality tests," Journal of Econometrics, Elsevier, vol. 221(1), pages 312-336.
    24. 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.
    25. 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.
    26. 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.
    27. Raffaella Giacomini & Toru Kitagawa & Alessio Volpicella, 2022. "Uncertain identification," Quantitative Economics, Econometric Society, vol. 13(1), pages 95-123, January.
    28. 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.
    29. Flynn, Zach, 2018. "Identifying productivity when it is a factor of production," SocArXiv bwxfz, Center for Open Science.
    30. 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.
    31. Francis J. DiTraglia & Camilo Garcia-Jimeno, 2020. "A Framework for Eliciting, Incorporating, and Disciplining Identification Beliefs in Linear Models," Papers 2011.07276, arXiv.org.
    32. 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.
    33. Jiang, Wenxin, 2017. "On limiting distribution of quasi-posteriors under partial identification," Econometrics and Statistics, Elsevier, vol. 3(C), pages 60-72.
    34. Alvarez, Luis Antonio, 2023. "Approximate Bayesian Computation for Partially Identified Models," MPRA Paper 117339, University Library of Munich, Germany.
    35. Natalia Lazzati & John K.-H. Quah & Koji Shirai, 2018. "Nonparametric analysis of monotone choice," Discussion Paper Series 184, School of Economics, Kwansei Gakuin University.
    36. Semenova, Vira, 2023. "Debiased machine learning of set-identified linear models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1725-1746.
    37. Yuan Liao & Anna Simoni, 2019. "Bayesian inference for partially identified smooth convex models," Post-Print hal-03089881, HAL.
    38. 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).
    39. 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.
    40. Pooyan Amir‐Ahmadi & Thorsten Drautzburg, 2021. "Identification and inference with ranking restrictions," Quantitative Economics, Econometric Society, vol. 12(1), pages 1-39, January.
    41. Shuowen Chen & Hiroaki Kaido, 2022. "Robust Tests of Model Incompleteness in the Presence of Nuisance Parameters," Papers 2208.11281, arXiv.org, revised Sep 2023.
    42. Raffaella Giacomini & Toru Kitagawa & Alessio Volpicella, 2020. "Uncertain Identification," CeMMAP working papers CWP33/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    43. Shuyang Sheng, 2020. "A Structural Econometric Analysis of Network Formation Games Through Subnetworks," Econometrica, Econometric Society, vol. 88(5), pages 1829-1858, September.
    44. Emanuele Bacchiocchi & Toru Kitagawa, 2022. "Locally- but not Globally-identified SVARs," Working Papers wp1171, Dipartimento Scienze Economiche, Universita' di Bologna.
    45. 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.
    46. 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.
    47. 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.
    48. Kline, Brendan, 2015. "Identification of complete information games," Journal of Econometrics, Elsevier, vol. 189(1), pages 117-131.
    49. Paul S. Koh, 2022. "Estimating Discrete Games of Complete Information: Bringing Logit Back in the Game," Papers 2205.05002, arXiv.org, revised Jun 2022.
    50. 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.
    51. Planas, Christophe & Rossi, Alessandro, 2018. "The slice sampler and centrally symmetric distributions," Working Papers 2018-11, Joint Research Centre, European Commission.
    52. Timothy Christensen & Benjamin Connault, 2023. "Counterfactual Sensitivity and Robustness," Econometrica, Econometric Society, vol. 91(1), pages 263-298, January.

Articles

  1. 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, 2021. "Identification of firms’ beliefs in structural models of market competition," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 54(1), pages 5-33, February.
    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.

  2. 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. Denis Chetverikov & Daniel Wilhelm, 2016. "Nonparametric instrumental variable estimation under monotonicity," CeMMAP working papers 48/16, Institute for Fiscal Studies.
    2. Denis Chetverikov & Daniel Wilhelm, 2017. "Nonparametric instrumental variable estimation under monotonicity," CeMMAP working papers CWP14/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

  3. 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, 2020. "A Pairwise Strategic Network Formation Model with Group Heterogeneity: With an Application to International Travel," Papers 2012.14886, arXiv.org, revised Feb 2021.
    2. Hoshino, Tadao & Yanagi, Takahide, 2023. "Treatment effect models with strategic interaction in treatment decisions," Journal of Econometrics, Elsevier, vol. 236(2).
    3. Kline, Brendan, 2015. "Identification of complete information games," Journal of Econometrics, Elsevier, vol. 189(1), pages 117-131.
    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.

  4. 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.
  5. Kline, Brendan, 2015. "Identification of complete information games," Journal of Econometrics, Elsevier, vol. 189(1), pages 117-131.

    Cited by:

    1. Andres Aradillas-Lopez & Adam Rosen, 2013. "Inference in ordered response games with complete information," CeMMAP working papers 33/13, Institute for Fiscal Studies.
    2. Matthew A. Masten & Alexandre Poirier, 2018. "Interpreting Quantile Independence," Papers 1804.10957, arXiv.org.
    3. Leogrande, Angelo, 2021. "The Destruction of Price-Representativeness," MPRA Paper 111224, University Library of Munich, Germany.
    4. 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.
    5. Hoshino, Tadao & Yanagi, Takahide, 2023. "Treatment effect models with strategic interaction in treatment decisions," Journal of Econometrics, Elsevier, vol. 236(2).
    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. Nail Kashaev & Bruno Salcedo, 2019. "Discerning Solution Concepts," University of Western Ontario, Departmental Research Report Series 20193, University of Western Ontario, 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. Erhao Xie, 2022. "Nonparametric Identification of Incomplete Information Discrete Games with Non-equilibrium Behaviors," Staff Working Papers 22-22, Bank of Canada.
    10. 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.
    11. 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.
    12. 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.
    13. Áureo de Paula, 2012. "Econometric analysis of games with multiple equilibria," CeMMAP working papers 29/12, Institute for Fiscal Studies.
    14. 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.
    15. 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. 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. 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.
    3. 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.
    4. 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.
    5. 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.

  7. 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. Andrew Chesher & Adam Rosen, 2012. "Simultaneous equations for discrete outcomes: coherence, completeness, and identification," CeMMAP working papers 21/12, Institute for Fiscal Studies.
    2. Francesca Molinari, 2020. "Microeconometrics with Partial Identification," Papers 2004.11751, arXiv.org.
    3. Matthew A. Masten & Alexandre Poirier, 2018. "Interpreting Quantile Independence," Papers 1804.10957, arXiv.org.
    4. 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.
    5. 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.
    6. Marc HENRY & Ismael MOURIFIÉ, 2013. "Nonparametric Sharp Bounds For Payoffs In 2 × 2 Games," Working Papers tecipa-500, University of Toronto, Department of Economics.
    7. 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.
    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. 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.
    11. Barkley, Aaron & Groeger, Joachim R. & Miller, Robert A., 2021. "Bidding frictions in ascending auctions," Journal of Econometrics, Elsevier, vol. 223(2), pages 376-400.
    12. 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.
    13. Kline, Brendan, 2015. "Identification of complete information games," Journal of Econometrics, Elsevier, vol. 189(1), pages 117-131.
    14. 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.

  8. 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. Biroli, Pietro & Boneva, Teodora & Raja, Akash & Rauh, Christopher, 2022. "Parental beliefs about returns to child health investments," Journal of Econometrics, Elsevier, vol. 231(1), pages 33-57.
    3. 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.
    4. Böckerman, Petri & Cawley, John & Viinikainen, Jutta & Lehtimäki, Terho & Rovio, Suvi & Seppälä, Ilkka & Pehkonen, Jaakko & Raitakari, Olli, 2016. "The Effect of Weight on Labor Market Outcomes: An Application of Genetic Instrumental Variables," IZA Discussion Papers 9907, Institute of Labor Economics (IZA).
    5. Guettabi, Mouhcine & Munasib, Abdul, 2015. "The Impact of Obesity on Consumer Bankruptcy," Economics & Human Biology, Elsevier, vol. 17(C), pages 208-224.
    6. Demirgüç-Kunt, Asli & Torre, Iván, 2022. "Measuring human capital in middle income countries," Journal of Comparative Economics, Elsevier, vol. 50(4), pages 1036-1067.
    7. Kinge, Jonas Minet, 2016. "Waist circumference, body mass index and employment outcomes," HERO Online Working Paper Series 2016:4, University of Oslo, Health Economics Research Programme.
    8. Donal O’Neill & Olive Sweetman, 2013. "The consequences of measurement error when estimating the impact of obesity on income," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 2(1), pages 1-20, December.
    9. Donal O'Neill & Olive sweetman, 2012. "The Consequences of Measurement Error when Estimating the Impact of BMI on Labour Market Outcomes," Economics Department Working Paper Series n232b-12.pdf, Department of Economics, National University of Ireland - Maynooth.
    10. John Cawley & Chad Meyerhoefer, 2010. "The Medical Care Costs of Obesity: An Instrumental Variables Approach," NBER Working Papers 16467, National Bureau of Economic Research, Inc.
    11. Bozzi, Debra G. & Nicholas, Lauren Hersch, 2021. "A Causal Estimate of Long-Term Health Care Spending Attributable to Body Mass Index Among Adults," Economics & Human Biology, Elsevier, vol. 41(C).
    12. Christian A. Gregory & Christopher J. Ruhm, 2011. "Where Does the Wage Penalty Bite?," NBER Chapters, in: Economic Aspects of Obesity, pages 315-347, National Bureau of Economic Research, Inc.
    13. Sabia, Joseph J. & Rees, Daniel I., 2012. "Body weight and wages: Evidence from Add Health," Economics & Human Biology, Elsevier, vol. 10(1), pages 14-19.
    14. Pagan, Ricardo & Haro, Carmen Ordóñez de & Sánchez, Carlos Rivas, 2016. "Obesity, job satisfaction and disability at older ages in Europe," Economics & Human Biology, Elsevier, vol. 20(C), pages 42-54.
    15. Xuezheng Qin & Jay Pan, 2016. "The Medical Cost Attributable to Obesity and Overweight in China: Estimation Based on Longitudinal Surveys," Health Economics, John Wiley & Sons, Ltd., vol. 25(10), pages 1291-1311, October.
    16. Pinkston, Joshua, 2015. "The Dynamic Effects of Obesity on the Wages of Young Workers," MPRA Paper 64641, University Library of Munich, Germany.
    17. Atella, Vincenzo & Pace, Noemi & Vuri, Daniela, 2008. "Are employers discriminating with respect to weight?: European Evidence using Quantile Regression," Economics & Human Biology, Elsevier, vol. 6(3), pages 305-329, December.
    18. Hafner, Lucas & Tauchmann, Harald & Wübker, Ansgar, 2017. "Does moderate weight loss affect subjective health perception in obese individuals? Evidence from field experimental data," Ruhr Economic Papers 730, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    19. 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.
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  3. NEP-REG: Regulation (1) 2021-11-22

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