Applied methods: Causal inference in Microeconometrics

Provided by: 

S.ANNA

From: 

Altro PhD (Economics)

Sede: 

Nizza

Lecturers: 

Manule BAGUES, Mauro SYLOS LABINI

Semester: 

2

Hours: 

20

Exam: 

N

Educational Goals: 

The course introduces PhD students to the main empirical strategies for causal inference. It has a practical flavor; emphasis is not on proofs but on intuitions and on applications. Basic knowledge of Econometrics and Statistics is assumed. Software used is STATA. Outline: 1. Introduction, 2. Randomized Control Trials, 3. Instrumental variables, 4. Identification based on observables, 5. Differences-in- differences, 6. Regression discontinuity designs, 7. Non-standard standard error issues, 8. Introduction to Structural analysis
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