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Alternatives to polynomial trend-corrected differences-in-differences models

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type , Research 01 Jan 2018 English Publisher:Informa UK LimitedJournal:Applied Economics Letters, volume 26, pages 358-361 (issn: 1350-4851, eissn: 1466-4291, Copyright policy )
Authors: Vandenberghe, Vincent;

doi: 10.1080/13504851.2018.1478386 , 10.2139/ssrn.3376511

handle: 2078.1/214080 , 2078.1/195585 , 10419/173223

Alternatives to polynomial trend-corrected differences-in-differences models

Abstract

A common problem with differences-in-differences (DD) estimates is the failure of the parallel-trend assumption. To cope with this, most authors include polynomial (linear, quadratic…) trends among...

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Keywords

parallelism, ddc:330, Differences-in-differences (DD) models, Correction for trend differences, Differences-in-Differences Models, Treatment-effect analysis, C21, C5, Treatment-Effect Analysis, C4

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
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