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Statistics and Econometrics 2 (ECO-CO-STATS2)

ECO-CO-STATS2


Department ECO
Course category ECO Compulsory courses
Course type Course
Academic year 2023-2024
Term BLOCK 2
Credits 1 (EUI Economics Department)
Professors
Contact Simonsen, Sarah
Sessions

16/11/2023 9:00-10:30 @ Seminar Room 3rd Floor,V. la Fonte

17/11/2023 9:00-10:30 @ Seminar Room 3rd Floor,V. la Fonte

20/11/2023 9:00-10:00 @ Seminar Room 3rd Floor,V. la Fonte

20/11/2023 11:00-12:03 @ Seminar Room 3rd Floor,V. la Fonte

21/11/2023 9:00-10:30 @ Seminar Room 3rd Floor,V. la Fonte

21/11/2023 11:00-12:30 @ Seminar Room 3rd Floor,V. la Fonte

23/11/2023 9:00-10:30 @ Seminar Room 3rd Floor,V. la Fonte

24/11/2023 13:30-15:00 @ Seminar Room 3rd Floor,V. la Fonte

28/11/2023 9:00-10:30 @ Seminar Room 3rd Floor,V. la Fonte

30/11/2023 9:00-10:30 @ Seminar Room 3rd Floor,V. la Fonte

01/12/2023 11:00-12:30 @ Seminar Room 3rd Floor,V. la Fonte

05/12/2023 9:00-10:30 @ Seminar Room 3rd Floor,V. la Fonte

07/12/2023 9:00-10:30 @ Seminar Room 3rd Floor,V. la Fonte

12/12/2023 9:00-10:30 @ Seminar Room 3rd Floor,V. la Fonte

14/12/2023 9:00-10:30 @ Seminar Room 3rd Floor,V. la Fonte

15/12/2023 9:00-10:30 @ Seminar Room 3rd Floor,V. la Fonte

19/12/2023 9:00-10:30 @ Seminar Room 3rd Floor,V. la Fonte

21/12/2023 9:00-10:30 @ Seminar Room 3rd Floor,V. la Fonte

Purpose

This course is intended to introduce students to some standard methods specifically designed for the analysis of micro-economic data.

Description

One half of the course covers methods for limited dependent variables, censoring, truncation, selection and duration data, applying ML and Bayesian estimation. Potential outcome framework to causality will also be introduced.
Sampling and randomization designs and inference will be discussed as well missing data methods. The other half of the course covers methods for panel data. We discuss
linear and binary response models for panel data. We also review method of moments and introduce generalized method of moments estimation.

See syllabus

Register for this course

Page last updated on 05 September 2023