IDEAS home Printed from https://ideas.repec.org/a/wly/hlthec/v23y2014i3p376-378.html
   My bibliography  Save this article

Response To Epstein'S Comment On “Heterogeneity In Action”

Author

Listed:
  • Anirban Basu
  • Anupam B. Jena
  • Dana P. Goldman
  • Tomas J. Philipson
  • Robert Dubois

Abstract

No abstract is available for this item.

Suggested Citation

  • Anirban Basu & Anupam B. Jena & Dana P. Goldman & Tomas J. Philipson & Robert Dubois, 2014. "Response To Epstein'S Comment On “Heterogeneity In Action”," Health Economics, John Wiley & Sons, Ltd., vol. 23(3), pages 376-378, March.
  • Handle: RePEc:wly:hlthec:v:23:y:2014:i:3:p:376-378
    DOI: 10.1002/hec.3031
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/hec.3031
    Download Restriction: no

    File URL: https://libkey.io/10.1002/hec.3031?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Anirban Basu & James J. Heckman & Salvador Navarro-Lozano & Sergio Urzua, 2007. "Use of instrumental variables in the presence of heterogeneity and self-selection: an application to treatments of breast cancer patients," Health Economics, John Wiley & Sons, Ltd., vol. 16(11), pages 1133-1157.
    2. Anirban Basu & James J. Heckman & Salvador Navarro-Lozano & Sergio Urzua, 2007. "Use of instrumental variables in the presence of heterogeneity and self-selection: An application in breast cancer patients," Health, Econometrics and Data Group (HEDG) Working Papers 07/07, HEDG, c/o Department of Economics, University of York.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Olivier De Groote & Koen Declercq, 2021. "Tracking and specialization of high schools: Heterogeneous effects of school choice," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(7), pages 898-916, November.
    2. Raquel Fonseca Benito & Yuhui Zheng, 2011. "The Effect of Education on Health Cross-Country Evidence," Working Papers WR-864, RAND Corporation.
    3. Guilhem Bascle, 2008. "Controlling for endogeneity with instrumental variables in strategic management research," Post-Print hal-00576795, HAL.
    4. Elisa Gerten & Michael Beckmann & Elisa Gerten & Matthias Kräkel, 2022. "Information and Communication Technology, Hierarchy, and Job Design," ECONtribute Discussion Papers Series 189, University of Bonn and University of Cologne, Germany.
    5. Dumont, Etienne & Fortin, Bernard & Jacquemet, Nicolas & Shearer, Bruce, 2008. "Physicians' multitasking and incentives: Empirical evidence from a natural experiment," Journal of Health Economics, Elsevier, vol. 27(6), pages 1436-1450, December.
    6. Anirban Basu & Norma Coe & Cole G. Chapman, 2017. "Comparing 2SLS vs 2SRI for Binary Outcomes and Binary Exposures," NBER Working Papers 23840, National Bureau of Economic Research, Inc.
    7. Daniel Polsky & Anirban Basu, 2012. "Selection Bias in Observational Data," Chapters, in: Andrew M. Jones (ed.), The Elgar Companion to Health Economics, Second Edition, chapter 46, Edward Elgar Publishing.
    8. Adam Wagstaff, 2010. "Estimating health insurance impacts under unobserved heterogeneity: the case of Vietnam's health care fund for the poor," Health Economics, John Wiley & Sons, Ltd., vol. 19(2), pages 189-208, February.
    9. H. Evans & A. Basu, 2011. "Exploring comparative effect heterogeneity with instrumental variables: prehospital intubation and mortality," Health, Econometrics and Data Group (HEDG) Working Papers 11/26, HEDG, c/o Department of Economics, University of York.
    10. Andrew M. Jones, 2007. "Identification of treatment effects in Health Economics," Health Economics, John Wiley & Sons, Ltd., vol. 16(11), pages 1127-1131.
    11. Cornelissen, Thomas & Dustmann, Christian & Raute, Anna & Schönberg, Uta, 2016. "From LATE to MTE: Alternative methods for the evaluation of policy interventions," Labour Economics, Elsevier, vol. 41(C), pages 47-60.
    12. Michelle S. Goeree & John C. Ham & Daniela Iorio, 2009. "Caught in the bulimic trap? Persistence and state dependence of bulimia among young women," IEW - Working Papers 447, Institute for Empirical Research in Economics - University of Zurich, revised Jul 2012.
    13. Gelo, Dambala & Dikgang, Johane, 2019. "Collective action and heterogeneous welfare effects: Evidence from Ethiopian villages," World Development Perspectives, Elsevier, vol. 16(C).
    14. William N. Evans & Craig Garthwaite, 2012. "Estimating Heterogeneity in the Benefits of Medical Treatment Intensity," The Review of Economics and Statistics, MIT Press, vol. 94(3), pages 635-649, August.
    15. Duvendack, Maren & Palmer-Jones, Richard, 2011. "The microfinance of reproduction and the reproduction of microfinance: understanding the connections between microfinance, empowerment, contraception and fertility in Bangladesh in the 1990s," MPRA Paper 32384, University Library of Munich, Germany.
    16. Michelle S. Goeree & John C. Ham & Daniela Iorio, 2011. "Race, Social Class, and Bulimia Nervosa," Working Papers 2011-034, Human Capital and Economic Opportunity Working Group.
    17. Hoshino, Tadao & Yanagi, Takahide, 2023. "Treatment effect models with strategic interaction in treatment decisions," Journal of Econometrics, Elsevier, vol. 236(2).
    18. Lina Zhang & David T. Frazier & D. S. Poskitt & Xueyan Zhao, 2020. "Decomposing Identification Gains and Evaluating Instrument Identification Power for Partially Identified Average Treatment Effects," Papers 2009.02642, arXiv.org, revised Sep 2022.
    19. Jones A.M & Rice N, 2009. "Econometric Evaluation of Health Policies," Health, Econometrics and Data Group (HEDG) Working Papers 09/09, HEDG, c/o Department of Economics, University of York.
    20. Sasaki, Yuya & Ura, Takuya, 2023. "Estimation and inference for policy relevant treatment effects," Journal of Econometrics, Elsevier, vol. 234(2), pages 394-450.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:hlthec:v:23:y:2014:i:3:p:376-378. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www3.interscience.wiley.com/cgi-bin/jhome/5749 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.