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Local government cooperation at work: A control function approach

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  • معلومة اضافية
    • Contributors:
      Centre de recherche en économie et management (CREM); Université de Caen Normandie (UNICAEN); Normandie Université (NU)-Normandie Université (NU)-Université de Rennes (UR)-Centre National de la Recherche Scientifique (CNRS); University of Naples Federico II = Università degli studi di Napoli Federico II; IMT Institute of Advanced Studies; Groupe d'Analyse et de Théorie Economique Lyon - Saint-Etienne (GATE Lyon Saint-Étienne); École normale supérieure de Lyon (ENS de Lyon)-Université Lumière - Lyon 2 (UL2)-Université Claude Bernard Lyon 1 (UCBL); Université de Lyon-Université de Lyon-Université Jean Monnet - Saint-Étienne (UJM)-Centre National de la Recherche Scientifique (CNRS)
    • بيانات النشر:
      HAL CCSD
    • الموضوع:
      2014
    • Collection:
      HAL Lyon 1 (University Claude Bernard Lyon 1)
    • نبذة مختصرة :
      We analyze voluntary coalition formation using a unique panel data for 1,056 municipalities in the French region of Brittany between 1995 and 2002. We use a control function approach to develop a binary discrete choice model with spatial interactions. We find that a municipality’s decision to cooperate over the provision local public goods depends on the decisions of its neighbours. Comparison with spatial econometrics models (SAR and Durbin) shows that the decision to cooperate is over estimated by these more traditional models. The results are in line with the recent applied spatial economics literature but are derived for a discrete choice model setting.
    • Relation:
      halshs-01098777; https://shs.hal.science/halshs-01098777; https://shs.hal.science/halshs-01098777/document; https://shs.hal.science/halshs-01098777/file/1444.pdf
    • الدخول الالكتروني :
      https://shs.hal.science/halshs-01098777
      https://shs.hal.science/halshs-01098777/document
      https://shs.hal.science/halshs-01098777/file/1444.pdf
    • Rights:
      info:eu-repo/semantics/OpenAccess
    • الرقم المعرف:
      edsbas.71764B5A