Topics in Microeconometrics (ECO-AD-MICMTRIC)
ECO-AD-MICMTRIC
Department |
ECO |
Course category |
ECO Advanced courses |
Course type |
Course |
Academic year |
2023-2024 |
Term |
BLOCK 3 |
Credits |
1 (EUI Economics Department) |
Professors |
|
Contact |
Simonsen, Sarah
|
Sessions |
30/01/2024 9:00-11:00 @ Conference Room, Villa la Fonte
01/02/2024 9:00-11:00 @ Conference Room, Villa la Fonte
06/02/2024 9:00-11:00 @ Conference Room, Villa la Fonte
08/02/2024 9:00-11:00 @ Conference Room, Villa la Fonte
13/02/2024 9:00-11:00 @ Conference Room, Villa la Fonte
15/02/2024 9:00-11:00 @ Conference Room, Villa la Fonte
20/02/2024 9:00-11:00 @ Conference Room, Villa la Fonte
22/02/2024 9:00-11:00 @ Conference Room, Villa la Fonte
27/02/2024 9:00-11:00 @ Conference Room, Villa la Fonte
29/02/2024 9:00-10:45 @ Conference Room, Villa la Fonte
|
Purpose
A 20-hour topics course in applied micro-econometrics, with a particular emphasis on problems likely to be encountered in applied micro work, and techniques for dealing with those.
Description
1. Non-standard standard errors and inference (10 hours): Adjusting standard errors with non-i:i:d: data in cross-sectional and panel data; the bootstrap; smallsample inference; randomization inference; inference with multiple hypothesis and family-wise error rates. Moulton (REStat 1990), Bertrand, Du o and Mullainathan (QJE 2004), Cameron and Miller (JHR 2015), Holm (1979), Clarke, Romano and Wolf (2020).
2. Introduction to non-parametric and semi-parametric methods. Non-parametric estimation of densities and regressions. (4 hours): Bandwdiths and Kernels; Nadaraya- Watson and locally weighted regressions; partially linear models.
3. Quantile Regression. (2 hours)
4. Bounding causal estimates when exogeneity does not hold. Altonji et al (JPE 2005), Oster (JBES 2017), Pei, Pischke and Schwandt (JBES 2019), De Luca, Magnus and Peracchi (JBES 2019) (4 hours)
Exercise classes
No exercise class
Teaching material
• Selected journal articles and additional reading assigned with each lecture.
• Lecture notes provided by the instructor.
Evaluation
There will be 2-3 problem sets and a take home exam.
Register for this course
Page last updated on 05 September 2023