activity
20192026
most citedTesting nonparametric shape restrictions

4 citations · 4 across the 3 of their papers we have counts for

collaborators

6 papers

econ.EM2026

Quantile restrictions, revealed rankings, and the limits of multinomial choice

Tatiana Komarova

This paper analyzes when choice probabilities reveal rankings of deterministic utility indices in semiparametric discrete choice models. It begins with binary choice, where quantil…

econ.EM2026

Random Set Quantile Estimation of Partially Identified Discrete Response Models

Shakeeb Khan, Tatiana Komarova, Denis Nekipelov

Semiparametric discrete choice models are widely applied in economics, yet a fundamental tension arises when covariates are discrete as regression coefficients that are point ident…

econ.EM2022

The Anatomy of Dependence in Multivariate Ordered Choice

Tatiana Komarova, William Matcham

When individuals make simultaneous decisions across multiple ordered dimensions, standard multivariate ordered choice models impose narrow bracketing, with each dimension decided a…

econ.EM2021

Incorporating Social Welfare in Program-Evaluation and Treatment Choice

Debopam Bhattacharya, Tatiana Komarova

The econometric literature on treatment-effects typically takes functionals of outcome-distributions as `social welfare' and ignores program-impacts on unobserved utilities. We sho…

econ.EM2020

Privacy-aware identification

Tatiana Komarova, Denis Nekipelov

The paper redefines econometric identification under formal privacy constraints, particularly differential privacy (DP). Traditionally, econometrics focuses on point or partial ide…

stat.ME2019★ 4 cited

Testing nonparametric shape restrictions

Tatiana Komarova, Javier Hidalgo

We describe and examine a test for a general class of shape constraints, such as constraints on the signs of derivatives, U-(S-)shape, symmetry, quasi-convexity, log-convexity, …