Course: Quantitative Urban Economics

Professor: Pierre M. Picard

ECTS: 1

Aims:

This course provides an introduction to quantitative spatial models of cities, trade and economic geography. It builds on neoclassical urban economics and spatial equilibrium frameworks and expands the spatial general equilibrium analysis to land and labor markets with worker heterogeneity. The main objective is to enable students to simulate quantitative spatial model to study counterfactual analyses of spatial policies. The course makes use of spatial data to generate model inputs, estimate model parameters and solve simulations. The aim is to be able to simulate the effects of a major spatial shock on the population, employment, wages, property prices, and the effect on aggregate GDP. The course will include programming exercises for estimation and simulation. Preliminary code and data will be provided. Students are expected to work in teams

Objectives:

At the end of this lecture, the students should

  • get an excellent understanding of spatial economics concepts
  • develop quantitative skills for analyzing spatial economic data
  • write numerical solution algorithms for the quantification and simulation of spatial models
  • apply theoretical knowledge to real-world spatial economic issues.

Registration & Practical Information: soon available on Moodle

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