Bounds on treatment effects on transitions
This paper considers the definition and identification of treatment effects on conditional transition probabilities. We show that even under sequential random assignment only the instantaneous average treatment effect is point identified. Because treated and control units drop out at different rates, randomization only ensures the comparability of treatment and controls at the time of randomization, so that long run average treatment effects are not point identified. Instead we derive informative bounds on these average treatment effects. Our bounds do not impose (semi)parametric restrictions, as e.g. proportional hazards, that would narrow the bounds or even allow for point identification. We also explore various assumptions such as monotone treatment response, common shocks and positively correlated outcomes.
|Date of creation:||25 Mar 2011|
|Date of revision:|
|Contact details of provider:|| Postal: |
Phone: (+46) 18 - 471 70 70
Fax: (+46) 18 - 471 70 71
Web page: http://www.ifau.se/
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:hhs:ifauwp:2011_006. 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: (Margareta Wicklander)
If references are entirely missing, you can add them using this form.