Cities and Urbanization

About

Course Description:

Land-use and urbanization over history, France 1760-2020
- Machine learning to extract land use information from historical maps
- Land use changes in France 1860-2020
- Urbanization in France 1760-2020
- If time allows: Urbanization in emerging countries and/or Machine learning for other historical spatial archives
Estimation of agglomeration gains from individual panel data and wage equations
- Micro-foundations of agglomeration gains
- Spatial sorting and gains from cities
- Dynamic and heterogeneous effects
- If time allows: Matching in cities
Housing costs, real income disparities and amenities
- Land and housing prices variation within and between cities: Theory and estimation
- Real income spatial disparities and quality of life
- If time allows: Love of diversity and local price index
Urban divergence: Theory and estimation
- The evolution of urbanization: An agglomeration and growth model
- Estimation from within- and between-city historical variations
- Counterfactual scenarios for urban expansion limiting policies

Course leader

Pierre-Philippe Combes, CNRS (Centre National de la Recherche Scientifique), France

Target group

Master's students, doctoral candidates, researchers, and university professors, as well as other executives in the public and private sectors

Fee info

Tuition fees include all materials needed for the course and the provision of information about accommodation and restaurants near ISEG