Vladislav Morozov
Biographic Data
| ID | 8920089 |
|---|---|
| NAME | Vladislav Morozov |
| GIVEN NAMES | Vladislav |
| FAMILY NAME | Morozov |
| SIGNATURE | MOROZOV V |
| AFFILIATIONS | University of Bonn |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Inference on Extreme Quantiles of Unobserved Individual Heterogeneity
We develop a methodology for conducting inference on extreme quantiles of unobserved individual heterogeneity (e.g., heterogeneous coefficients and treatment effects) in panel data and meta-analysis settings. Inference is challenging in such settings: only noisy estimates of heterogeneity are available, and central limit approximations perform poorly in the tails. We derive a necessary and sufficient condition under which noisy estimates are info…
Unit Averaging for Heterogeneous Panels
In this work we introduce a unit averaging procedure to efficiently recover unit-specific parameters in a heterogeneous panel model. The procedure consists in estimating the parameter of a given unit using a weighted average of all the unit-specific parameter estimators in the panel. The weights of the average are determined by minimizing an MSE criterion we derive. We analyze the properties of the resulting minimum MSE unit averaging estimator i…
No prominent works on this page.
Inference on Extreme Quantiles of Unobserved Individual Heterogeneity
We develop a methodology for conducting inference on extreme quantiles of unobserved individual heterogeneity (e.g., heterogeneous coefficients and treatment effects) in panel data and meta-analysis settings. Inference is challenging in such settings: only noisy estimates of heterogeneity are available, and central limit approximations perform poorly in the tails. We derive a necessary and sufficient condition under which noisy estimates are info…
Unit Averaging for Heterogeneous Panels
In this work we introduce a unit averaging procedure to efficiently recover unit-specific parameters in a heterogeneous panel model. The procedure consists in estimating the parameter of a given unit using a weighted average of all the unit-specific parameter estimators in the panel. The weights of the average are determined by minimizing an MSE criterion we derive. We analyze the properties of the resulting minimum MSE unit averaging estimator i…
Spatial and Panel Data Analysis (2 works) · Advanced Causal Inference Techniques (1 works) · Central limit theorem (1 works) · Economic Policies and Impacts (1 works) · Estimation theory (1 works) · Estimator (1 works) · Extreme value theory (1 works) · Firm Innovation and Growth (1 works) · Frequentist inference (1 works) · Inference (1 works)