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Bounds On Treatment Effects On Transitions

Johan Vikström, Geert Ridder, Martin Weidner

arXiv 26 Sep 2017 · Econometrics · publishedJournal of Econometrics (2018) · 15 citations (OpenAlex)

arXiv:1709.08981 · PDF · DOI · OpenAlex · Extracted main text

Abstract

This paper considers the identification of treatment effects on conditional transition probabilities. We show that even under random assignment only the instantaneous average treatment effect is point identified. Since 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, for example, proportional hazards. We also explore various assumptions such as monotone treatment response, common shocks and positively correlated outcomes that tighten the bounds.

Citation extraction

28
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45
in-text mentions
28
distinct cited
1
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13,753
main-text words

appendix boundary found by appendix_titled_section at “Appendix A: Proofs” · 76% of the source is main text. Read the extracted text to check this.

Most heavily cited references

The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.

ReferenceIntensityMentionsSectionsMain text
1Meyer (1996) What Have We Learned from the Illinois Reemployment Bonus Experiment?1.00083100%
2Abbring and Van den Berg (2003) The non-parametric identification of treatment effects in duration models0.73732100%
3Andrews and Soares (2010) Inference for parameters defined by moment inequalities using generalized moment selection0.64441100%
4Woodbury and Spiegelman (1987) Bonusses to workers and employers to reduce unemployment: randomized trials in Illinois0.58531100%
5Chernozhukov, Hong, and Tamer (2007) Estimation and confidence regions for parameter sets in econometric models10.51121100%
6Heckman and Navarro (2007) Dynamic Discrete Choice and Dynamic Treatment Effects0.51121100%
7Van den Berg (2001) Duration models: specification, identification and multiple durations\/chap0.51121100%
8Elbers and Ridder (1982) True and spurious duration dependence: The identifiability of the proportional hazards model0.40511100%
9Abbring and Heckman (2007) Econometric evaluation of social programs, part III: Distributional treatment effects, dynamic treatment effects, dynamic discre…0.40511100%
10Andrews and Barwick (2012) Inference for parameters defined by moment inequalities: A recommended moment selection procedure0.40511100%

Showing the top 10 of 28 scored citations.

Cited by, within the corpus

arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.

Citing paperIntensityMentionsSections
1Dynamic confounding and long-term treatment effect estimation by data combination: point and partial identification0.40511