Munich Econometrics Seminar 2025
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.
Summer Term 2025
Treatment Effect Estimators as Weighted Outcomes
Inferring Treatment Effects in Large Panels by Uncovering Latent Similarities
Semiparametric Bayesian Difference-in-Differences
Causal Inference From Hypothetical Evaluations
Linear Regressions with Combined Data
Schedule
- Monday 11:00-12:00
- LMU, Ludwigstr. 33, Room 245 (Old Library)
Zoom Link for the Seminar
- https://lmu-munich.zoom-x.de/j/64143275872?pwd=aLG89T5SDQhbxS06IWLEc7KJZN70wU.1
- Meeting ID: 641 4327 5872
- Passcode: 524591
Archive
Upcoming Winter Term 2025/2026
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Winter Term 2024
Learning the Effect of Persuasion via Difference-in-Differences
Causal Inference under Interference through Designed Markets
Moment Restrictions in Nonlinear Panel Data Models with Feedback
Empirical Bayes When Estimation Precision Predicts Parameters
Inference for an Algorithmic Fairness-Accuracy Frontier
Robust Treatment Choice: A View From Partial Identification
From Predictive Algorithms to the Automatic Generation of Anomalies
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