Munich Econometrics Seminar 2024
About the Seminar
The aim of the seminar is to bring together economists, econometricians and statisticians in and around Munich. It provides a platform for external speakers to present their recent advancements in both theoretical and applied econometrics. Talks generally take place on Mondays at 11am and last 60 minutes including discussions.
Schedule
- Monday 11:00-12:00
- LMU, Ludwigstr. 33, Room 245 (Old Library)
Zoom Link for the Seminar
- Zoom Link: https://lmu-munich.zoom.us/j/93049916214?pwd=N3dIRllPTEJUU0VROXlLa0ErYUZ0QT09
- Meeting ID: 930 4991 6214
- Passcode: 900710
Summer Term 2024
Archive
Summer Term 2024
Causal Inference with Corrupted Data: Measurement Error, Missing Values, Discretization, and Differential Privacy
Identification and Estimation of Continuous-Time Job Search Models with Preference Shocks
Decomposition and Interpretation of Treatment Effects in Settings with Delayed Outcomes
This lecture will exceptionally take place in room 144 (seminar room).
From Predictive Algorithms to the Automatic Generation of Anomalies. The draft can be found here.
Two-way Fixed Effects and Differences-in-Differences Estimators in Heterogeneous Adoption Designs
Production Function Estimation Using Subjective Expectations Data
Winter Term 2023/2024
Heterogeneity, Uncertainty and Learning: Semiparametric Identification and Estimation
A Simple and Computationally Trivial Estimator for Grouped Fixed Effects Models
Transfer Estimates for Causal Effects Across Heterogeneous Site
An Exact t-Test
Shrinkage Estimation of Two-Way Effects with Matched Data
Minimax Regret Treatment Rules in Finite Samples
On the Existence and Information of Orthogonal Moments
Locally Robust Policy Learning: Inequality, Inequality of Opportunity and Intergenerational Mobility
Summer Term 2023
The Fragility of Sparsity
A Neyman Orthogonalization Approach to the Incidental Parameter Problem
Linear regression with weak exogeneity
Pre-analysis plans and statistical decisions subject to implementability
Identification and Estimation of Average Marginal Effects in Fixed Effects Logit Models
GMM is Inadmissible Under Weak Identification
Bootstrap Inference in the Presence of Bias
Partially Linear Models under Data Combination