Program Evaluation and Random Program Starts
By Peter Fredriksson, Per-Olov Johansson. Social Science Research Network, 2003
102 citations recorded by the source corpus.
This paper discusses the evaluation problem using observational data when the timing of treatment is an outcome of a stochastic process. We show that, without additional assumptions, it is not possible to estimate the average treatment effect and treatment on the treated. It is, however, possible to estimate the effect of treatment on the treated up to a certain time point. We propose an estimator to estimate this effect and show that it is possible to test for an average treatment effect.
Subfields: Economics and Econometrics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/2b02f9cc0165eac654db65ab40690ce9e0a41391
How researchers see this paper
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In Economics and Econometrics
- M. Lechner
- Conny Wunsch
- Bernd Fitzenberger
- S. Speckesser
- Ruth Miquel
- Jochen Kluve
- Marco Caliendo
- Martin Huber
In Statistics and Probability
- M. Lechner
- Conny Wunsch
- Bernd Fitzenberger
- S. Speckesser
- Ruth Miquel
- Marco Caliendo
- Jochen Kluve
- Martin Huber
Citations in the corpus
- Get Training or Wait? Long-Run Employment Effects of Training Programs for the Unemployed in West Germany (2006, unknown): “Abbring and van den Berg (2003) and Fredriksson and Johansson (2003, 2004) interpret the start of the program as an additional random variable in the “timing of events”.”
- Long-Run Effects of Public Sector Sponsored Training in West Germany (2011, background): “Taking up the arguments in Fredriksson and Johansson (2003), the fact that we condition the nonparticipation status on ending unemployment without entering a programme (or not ending unemployment at all) before 1995 might lead to some bias in our results in favour of the so-defined nonparticipation ”
- Sensitivity of Matching-Based Program Evaluations to the Availability of Control Variables (2013, background): “14 Related to the arguments of Fredriksson and Johansson (2003, 2008), Sianesi (2004), and Lechner and Wiehler (2011) this definition of non-participation raises issues about dynamic program assignment and future labour market outcomes of the sodefined nonparticipants.”
- The Curse and Blessing of Training the Unemployed in a Changing Economy: The Case of East Germany After Unification (2007, unknown): “Also note that the approach suggested by Fredriksson and Johansson (2003, 2004), as applied e.g. by Sianesi (2004) or Steiger (2004), estimates a different causal effect that is not of particular interest in our study.”
- Employment effects of the provision of specific professional skills and techniques in Germany (2007, background): “Thus, the estimated treatment parameter depends dynamically on treatment decision and outcomes in the past when taking the timing of events seriously (Abbring and van den Berg, 2003; Fredriksson and Johanson, 2003; Sianesi, 2004).”