In: Terra Cognita, 2019, vol. 34, p. 106–108
Hat da jemand etwas gesagt? Oder war es doch nur Lärm? In den frühen 1980er Jahren sah sich das Freiburger Rote Kreuz mit Asylsuchenden konfrontiert, die einfach keine Ruhe gaben. Was geschieht, wenn jene das Wort ergreifen, die nichts zu sagen haben sollen? Eine Annäherung.
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In: Interventions sociales et faits religieux / Verba D. & Guelamine F. (éd.), 2014, p. 193-212
Pourquoi la question du travail social identitaire, entendu comme tel lorsqu’il cherche à prendre en considération le registre identitaire comme base d’intervention, se thématise-t-elle aujourd’hui sur le devant de la scène socio-politique ? Bien évidemment, le retour du religieux dans la société en général et la montée de l’Islam au sein de populations issues de...
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In: Journal of Business and Economic Statistics, 2019, vol. 37, no. 4, p. 710-720
We propose a difference-in-differences approach for disentangling a total treatment effect within specific subpopulations into a direct effect and an indirect effect operating through a binary mediating variable. Random treatment assignment along with specific common trend and effect homogeneity assumptions identify the direct effects on the always and never takers, whose mediator is not...
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In: Journal of Econometric Methods, 2019, vol. 8, no. 1, p. 1-20
Using a sequential conditional independence assumption, this paper discusses fully nonparametric estimation of natural direct and indirect causal effects in causal mediation analysis based on inverse probability weighting. We propose estimators of the average indirect effect of a binary treatment, which operates through intermediate variables (or mediators) on the causal path between the...
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In: Agricultural and Resource Economics Review, 2019, vol. 48, no. 1, p. 117-141
This study investigates the effects of a local information campaign on farmers’ interest in a rural development programme (RDP) in the former Yugoslav Republic of Macedonia. The results suggest that while our intervention succeeded in informing farmers, it had a negative, albeit only marginally significant, effect on the reported possibility of using future RDP support. This puzzling result...
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In: International Journal of Industrial Organization, 2019, vol. 65, p. 277-301
We combine machine learning techniques with statistical screens computed from the distribution of bids in tenders within the Swiss construction sector to predict collusion through bid-rigging cartels. We assess the out of sample performance of this approach and find it to correctly classify more than 84% of the total of bidding processes as collusive or non-collusive. We also discuss...
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In: HMD Praxis der Wirtschaftsinformatik, 2019, vol. 57, p. 106-116
Die datenbasierte Kausalanalyse versucht, den kausalen Effekt einer Intervention auf ein interessierendes Ergebnis zu messen, häufig unter Kontrolle beobachtbarer Charakteristiken, die ebenfalls das Ergebnis beeinflussen. Beispiele für kausale Fragestellungen sind: Was ist der Effekt einer Marketingkampagne (Intervention) auf die Verkaufszahlen (Ergebnis) unter ansonsten identischen...
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In: Eurasian Geography and Economics, 2019, p. 304-332
This paper presents the outcomes of an anti-corruption educational intervention among Ukrainian students based on an online experiment. More than 3,000 survey participants were randomly assigned to one of three different videos on corruption and its consequences (treatment groups) or a video on higher education (control group). The data suggest a high level of academic dishonesty and...
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In: Journal of Business and Economic Statistics, 2019, vol. 37, no. 4, p. 710-720
We propose a difference-in-differences approach for disentangling a total treatment effect within specific subpopulations into a direct effect and an indirect effect operating through a binary mediating variable. Random treatment assignment along with specific common trend and effect homogeneity assumptions identify the direct effects on the always and never takers, whose mediator is not...
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In: Journal of Business and Economic Statistics, 2019, vol. 37, no. 4, p. 736-748
This article proposes a fully nonparametric kernel method to account for observed covariates in regression discontinuity designs (RDD), which may increase precision of treatment effect estimation. It is shown that conditioning on covariates reduces the asymptotic variance and allows estimating the treatment effect at the rate of one- dimensional nonparametric regression, irrespective of the...
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