Matching Estimating of Dynamic Treatment Models: Some Practical Issues
AbstractLechner and Miquel (2001) approached the causal analysis of sequences of interventions from a potential outcome perspective based on selection on observable type of assumptions (sequential conditional independence assumptions). Lechner (2004) proposed matching estimators for this framework. However, many practical issues that might have substantial consequences for interpretation of the results have not been thoroughly investigated so far. This paper discusses some of these practical issues. The discussion is related to estimates based on an artificial data set for which the true values of the parameters are known and that shares many features of data that could be used for an empirical dynamic matching analysis.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Department of Economics, University of St. Gallen in its series University of St. Gallen Department of Economics working paper series 2006 with number 2006-03.
Length: 39 pages
Date of creation: Jan 2006
Date of revision:
Dynamic treatment regimes; nonparametric identification; causal effects; sequential randomisation; programme evaluation; treatment effects; dynamic matching; panel data;
Find related papers by JEL classification:
- C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
- C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
This paper has been announced in the following NEP Reports:
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Michael Lechner & Stephan Wiehler, 2007.
"Does the Order and Timing of Active Labor Market Programs Matter?,"
University of St. Gallen Department of Economics working paper series 2007
2007-38, Department of Economics, University of St. Gallen.
- Lechner, Michael & Wiehler, Stephan, 2007. "Does the Order and Timing of Active Labor Market Programs Matter?," IZA Discussion Papers 3092, Institute for the Study of Labor (IZA).
- Stefan Boes, 2009. "Partial Identification of Discrete Counterfactual Distributions with Sequential Update of Information," Working Papers 0918, University of Zurich, Socioeconomic Institute.
- Michael Lechner & Stephan Wiehler, 2013.
"Does the Order and Timing of Active Labour Market Programmes Matter?,"
Oxford Bulletin of Economics and Statistics,
Department of Economics, University of Oxford, vol. 75(2), pages 180-212, 04.
- Lechner, Michael & Wiehler, Stephan, 2007. "Does the Order and Timing of Active Labour Market Programmes Matter?," CEPR Discussion Papers 6521, C.E.P.R. Discussion Papers.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joerg Baumberger).
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 references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link 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 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.