Hétérogénéité des interactions et évaluation des effets de traitement: une approche par les effets de dépendance spatiale

Sileymane Ba () and Catherine Baumont ()
Additional contact information
Sileymane Ba: LEDi - Laboratoire d'Economie de Dijon [Dijon] - UB - Université de Bourgogne - UBFC - Université Bourgogne Franche-Comté [COMUE]
Catherine Baumont: LEDi - Laboratoire d'Economie de Dijon [Dijon] - UB - Université de Bourgogne - UBFC - Université Bourgogne Franche-Comté [COMUE]

Post-Print from HAL

Abstract: In the specific context of the two stage model of causal effect evaluation, this article deals with the analysis of the validity of the assumptions assuming no interdependency. More precisely we question the Cia and the Sutva assumptions. We use a spatial analytical framework to characterize the interactions between individuals. We consider the heterogeneity of neighborhoods according to individuals and their neighbors, whether or not they are involved in the public policy. The evaluation model combines two models. A probit model with a spatially autocorrelated errors makes possible to take account for unobservable factors potentially affecting individuals' decisions to take part in the policy. A spatial autoregressive model on the outcome allows us to integrate the heterogeneity of neighborhoods and the potential selection bias spatially adjusted. We use the Zrr (revitalization of rural areas) policy as an empirical application. We show that if the average treatment effects of the policy on the creation of business establishments are significant and positive with models without interactions, these effects are not significant anymore when we consider spatial dependencies.

Keywords: Zrr; spatial interactions; selection bias; Sutva treatment; effect; effet de traitement; interactions spatiales; Sutva; biais de sélection (search for similar items in EconPapers)
Date: 2015
Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-01224433v1
References: Add references at CitEc
Citations:

Published in Revue d'économie régionale et urbaine, 2015, Espace, statistique et économétrie : Progrès et défis en science régionale, 1-2, pp.105-148. ⟨10.3917/reru.151.0105⟩

Downloads: (external link)
https://shs.hal.science/halshs-01224433v1/document (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-01224433

DOI: 10.3917/reru.151.0105

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().