• Graduate Program
  • Research
  • Browse our Courses
  • Events
    • Events Calendar
    • Events Archive
    • Tinbergen Institute Lectures
    • Summer School
      • Deep Learning
      • Economics of Blockchain and Digital Currencies
      • Foundations of Machine Learning with Applications in Python
      • Marketing Research with Purpose
      • Modern Toolbox for Spatial and Functional Data
      • Sustainable Finance
      • Tuition Fees and Payment
      • Tinbergen Institute Summer School Program
    • Annual Tinbergen Institute Conference archive
  • News
  • Summer School
    • Deep Learning
    • Economics of Blockchain and Digital Currencies
    • Foundations of Machine Learning with Applications in Python
    • Marketing Research with Purpose
    • Modern Toolbox for Spatial and Functional Data
    • Sustainable Finance
  • Alumni

Loumeau, G. (2023). Locating Public Facilities: Theory and Micro Evidence from Paris Journal of Urban Economics, 135.


  • Affiliated author
    Gabriel Loumeau
  • Publication year
    2023
  • Journal
    Journal of Urban Economics

This paper proposes a novel approach to evaluate location decisions for public facilities. The approach addresses, not only the standard distance-minimizing problem, but also the endogenous location decisions of individuals. The paper develops a quantifiable general equilibrium model with endogenous (residential and commercial) densities, housing prices, commutes to work, as well as to public/private facilities. The framework is applied to the case of secondary schools in Paris{\textquoteright} greater region at a 1km2 geographical scale. The analysis reveals that the observed location decisions made between 2001 and 2015 underestimate the endogenous reaction of individuals. A more decentralized strategy is predicted to increase welfare growth by 10 percent, reduce density in Paris{\textquoteright} center, and shorten commuting times to school globally.