Treatment Effect Bounds under Monotonicity Assumptions: An Application to Swan-Ganz Catheterization
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
CitationsCitations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
- Stefan Boes, 2009. "Bounds on Counterfactual Distributions Under Semi-Monotonicity Constraints," SOI - Working Papers 0920, Socioeconomic Institute - University of Zurich.
- Chiburis, Richard C., 2010. "Semiparametric bounds on treatment effects," Journal of Econometrics, Elsevier, vol. 159(2), pages 267-275, December.
- Lee, Jinhyun, 2013. "Sharp Bounds on Heterogeneous Individual Treatment Responses," SIRE Discussion Papers 2013-89, Scottish Institute for Research in Economics (SIRE).
- German Blanco & Carlos A. Flores & Alfonso Flores-Lagunes, 2013. "The Effects of Job Corps Training on Wages of Adolescents and Young Adults," American Economic Review, American Economic Association, vol. 103(3), pages 418-422, May.
- Kyungchul Song, 2009. "Point Decisions for Interval-Identified Parameters," PIER Working Paper Archive 09-036, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- James J. Heckman & Sergio Urzua & Edward Vytlacil, 2008.
"Instrumental Variables in Models with Multiple Outcomes: The General Unordered Case,"
Annals of Economics and Statistics,
GENES, issue 91-92, pages 151-174.
- Heckman, James J. & Urzua, Sergio & Vytlacil, Edward, 2008. "Instrumental Variables in Models with Multiple Outcomes: The General Unordered Case," IZA Discussion Papers 3565, Institute for the Study of Labor (IZA).
- James J. Heckman & Sergio Urzua & Edward Vytlacil, 2008. "Instrumental Variables In Models With Multiple Outcomes: The General Unordered Case," Working Papers 200830, Geary Institute, University College Dublin.
- Bhattacharya, Jay & Shaikh, Azeem M. & Vytlacil, Edward, 2012.
"Treatment effect bounds: An application to Swan–Ganz catheterization,"
Journal of Econometrics,
Elsevier, vol. 168(2), pages 223-243.
- Jay Bhattacharya & Azeem Shaikh & Edward Vytlacil, 2005. "Treatment Effect Bounds: An Application to Swan-Ganz Catheterization," NBER Working Papers 11263, National Bureau of Economic Research, Inc.
- Wooyoung Kim & Koohyun Kwon & Soonwoo Kwon & Sokbae Lee, 2014. "The identification power of smoothness assumptions in models with counterfactual outcomes," CeMMAP working papers CWP17/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
More about this item
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- I10 - Health, Education, and Welfare - - Health - - - General
StatisticsAccess and download statistics
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:aea:aecrev:v:98:y:2008:i:2:p:351-56. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Jane Voros) or (Michael P. Albert). General contact details of provider: http://edirc.repec.org/data/aeaaaea.html .
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.
We have no references for this item. You can help adding them by using 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.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.