Identification of the Effects of Dynamic Treatments by Sequential Conditional Independence Assumptions

Michael Lechner and Ruth Miquel ()

University of St. Gallen Department of Economics working paper series 2005 from Department of Economics, University of St. Gallen

Abstract: This paper approaches the causal analysis of sequences of interventions from a potential outcome perspective. The identifying power of several different assumptions concerning the connection between the dynamic selection process and the outcomes of different sequences is discussed. The assumptions invoke different randomisation assumptions which are compatible with different selection regimes. Parametric forms are not involved. When participation in the sequences is decided every period depending on its success so far, the resulting endogeneity problem destroys nonparametric identification for many parameters of interest. However, some interesting dynamic forms of the average treatment effect are identified. As an empirical example for the application of this approach, we reexamine the effects of training programmes for the unemployed in West Germany.

JEL-codes: C21 C31 (search for similar items in EconPapers)
Pages: 48 pages
Date: 2005-08
New Economics Papers: this item is included in nep-ecm
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (34)

Downloads: (external link)
http://ux-tauri.unisg.ch/RePEc/usg/dp2005/DP-17_Le.pdf (application/pdf)

Related works:
Journal Article: Identification of the effects of dynamic treatments by sequential conditional independence assumptions (2010)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:usg:dp2005:2005-17

Access Statistics for this paper

More papers in University of St. Gallen Department of Economics working paper series 2005 from Department of Economics, University of St. Gallen Contact information at EDIRC.
Bibliographic data for series maintained by Joerg Baumberger ( this e-mail address is bad, please contact ).