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Cooperation among local governments to deliver public services : a “structural” bivariate response model with fixed effects and endogenous covariate

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  • Edoardo di Porto

    () (EQUIPPE (Universités de Lille) and Sapienza (Universita di Roma)Dipartimento MEMOTEF, Via del Castro Laurenziano 9, 00161 Roma, Italy)

  • Vincent Merlin

    () (CREM CNRS and University of Caen Basse Normandie, 19 rue Bloch 14032 Caen, France)

  • Sonia Paty

    () (Université de Lyon, Lyon, F-69007, France ; CNRS, GATE Lyon St Etienne,F-69130 Ecully, France)

Abstract

Cooperation among local governments has been encouraged to enable the aggregation of resources and improved public sector efficiency. However, if cooperation through the joint delivery of local public services is likely to be welfare enhancing for the agglomeration, but will lead to losses for one of the parties, it is unlikely that the losing municipality will cooperate. Using a unique panel dataset of 30,000 French municipalities for 1995-2003, we estimate the relationship between cooperation decision and the fiscal revenues raised to provide local public goods. We employ a new econometric strategy based on Lee (1978), developing a non linear method controlling for fixed effect, endogenous covariates and cluster standard error. We find evidence that a positive difference between the expected fiscal revenues of a cooperating locality and the actual revenues realized by an isolated locality significantly increases the probability of joining an inter-municipal community.

Suggested Citation

  • Edoardo di Porto & Vincent Merlin & Sonia Paty, 2013. "Cooperation among local governments to deliver public services : a “structural” bivariate response model with fixed effects and endogenous covariate," Working Papers 1304, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
  • Handle: RePEc:gat:wpaper:1304
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    References listed on IDEAS

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    1. repec:oup:jecgeo:v:17:y:2017:i:2:p:435-463. is not listed on IDEAS
    2. repec:taf:regstd:v:50:y:2016:i:11:p:1804-1818 is not listed on IDEAS
    3. Massimiliano Ferraresi & Giuseppe Migali & Leonzio Rizzo, 2017. "Does Inter-municipal Cooperation promote efficiency gains? Evidence from Italian Municipal," Working papers 59, Società Italiana di Economia Pubblica.
    4. Allers, Maarten & van Ommeren, Bernard & Geertsema, Bieuwe, 2015. "Does intermunicipal cooperation create inefficiency? A comparison of interest rates paid by intermunicipal organizations, amalgamated municipalities and not recently amalgamated municipalities," Research Report 15003-EEF, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    5. Christian Bergholz & Ivo Bischoff, 2015. "Citizens‘ preferences for inter-municipal cooperation in rural areas: evidence from a survey in three Hessian counties," MAGKS Papers on Economics 201523, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    6. Edoardo Di Porto & Angela Parenti & Sonia Paty & Zineb Abidi, 2017. "Local government cooperation at work: a control function approach," Journal of Economic Geography, Oxford University Press, vol. 17(2), pages 435-463.
    7. Christian Bergholz & Ivo Bischoff, 2016. "Local council members’ view on inter-municipal cooperation: Does office-related self interest matter?," MAGKS Papers on Economics 201647, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).

    More about this item

    Keywords

    inter-municipal cooperation; fiscal revenues; bivariate response variable; panel data; endogeneity;

    JEL classification:

    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • H2 - Public Economics - - Taxation, Subsidies, and Revenue
    • H4 - Public Economics - - Publicly Provided Goods
    • H7 - Public Economics - - State and Local Government; Intergovernmental Relations

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