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A. T1. Applied Econometrics
Volume horaire total | 18 |
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Responsables
Pré-requis
Connaissances de base en économétrie : modèle de régression linéaire, méthodes d’estimation par MCO, endogénéité des variables explicatives, méthode d’estimation par variables instrumentales.
Objectifs
The goal of this course is to focus on the identification of causal impacts in econometrics. Applications in urban economics and economic geography with strong endogeneity concerns will be provided as case studies.
Contenu
Course outlines
Assessing a causal impact: agglomeration economies
Calendrier
COURS NON DISPENSE EN 2023/2024.
COURS DISPENSE EN 2024/2025
Bibliographie
- Baum-Snow, N., Ferreira, F., 2015, Causal inference in urban economics, in Handbook of Urban and Regional Economics vol. 5, G. Duranton, V. Henderson and W. Strange (eds.), Elsevier-North Holland, Amsterdam, 3–68.
- Ciccone, A., Hall, R.E., 1996. Productivity and the density of economic activity. Am. Econ. Rev.4. 86, 54–70.
- Combes P.-P., Duranton G., Gobillon L., 2008, Spatial Wage Disparities : Sorting Matters !, Journal of Urban Economics 63, 723-742 (2008).
- Combes P.-P., Gobillon L., 2015, The empirics of agglomeration economies, in Handbook of Urban and Regional Economics vol. 5, G. Duranton, V. Henderson and W. Strange (eds.), Elsevier-North Holland, Amsterdam, 247–348.
- Hanson, G.H. (1997) - Increasing returns, trade, and the regional structure of wages. Econ. J. 107, 113–133.
- Moretti, E., 2013. Real wage inequality. Am. Econ. J. Appl. Econ. 5, 65–103.
- Neumark D., Simpson H., 2015, Place-based policies, in Handbook of Urban and Regional Economics vol. 5, G. Duranton, V. Henderson and W. Strange (eds.), Elsevier-North Holland, Amsterdam, 1197-1282.
- Redding, S., Sturm, D. (2008) - The costs of remoteness: evidence from German division and reunification. Am. Econ. Rev. 98, 1766–1797.