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A. T1. Applied Econometrics

Volume horaire total 18

Responsables

Florence Goffette-Nagot

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

Summary: We will review some applied econometric models in the field of regional and urban economics. The focus is on the identification of causal impacts in three cases: agglomeration economies, neighborhood effects and spatial mismatch, place-based policies. In the three cases, strong endogeneity issues lead to the development of different strategies for the identification of causal impacts. The course will be divided in three parts dealing with each of these cases.

Course outlines

Assessing a causal impact: agglomeration economies
1. The mechanisms of agglomeration economies
          a. Basic model
          b. Aggregated versus individual data
          c. Determinants of agglomeration effects
 
2. Empirical issues: endogeneity
          a. Sources of endogeneity
          b. Remedies to endogeneity: fixed effects, instrumentation, natural experiments
 
3. Further developments
          a. Agglomeration economies, employment and firm location choices
          b. Identification of mechanisms
          c. Estimation of urban costs
 
Assessing a causal impact: neighborhood effects and spatial mismatch
1. Mechanisms
          a. Spatial mismatch
          b. Neighborhood effects
          c. Location endogeneity issue
 
3. Identification strategies in urban economics
          a. Instrumental variables
          b. Exogenous variations in locations
          c. Assumptions on selection into locations
          d. Selection at different aggregation levels
 
Assessing a causal impact: place-based policies
          a. Evidence on theoretical motivations and behavioral hypotheses
          b. Identifying the effects of place-based policies
          c. Evidence on impacts of policy interventions
          d. Unanswered questions and research challenges

Calendrier

-le 12, 14, 19 mars 2019 de 9h à 12h et de 14h à 17h;
-le 21 mars 2019  (supprimé)

LieuGATE, 93 chemin des Mouilles, ECULLY, en salle de séminaire. 
Informations pratiques sur le site web du GATE 

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.