activity
20142023
most citedInference on Directionally Differentiable Functions

19 citations · 31 across the 5 of their papers we have counts for

collaborators

5 papers

econ.EM2023

Standard errors when a regressor is randomly assigned

Denis Chetverikov, Jinyong Hahn, Zhipeng Liao +1

We examine asymptotic properties of the OLS estimator when the values of the regressor of interest are assigned randomly and independently of other regressors. We find that the OLS…

physics.pop-ph2021★ 12 cited

The Newcomb-Benford law: Scale invariance and a simple Markov process based on it

Andrea Burgos, Andrés Santos

The Newcomb-Benford law, also known as the first-digit law, gives the probability distribution associated with the first digit of a dataset, so that, for example, the first signifi…

econ.EM2020

Inference for Large-Scale Linear Systems with Known Coefficients

Zheng Fang, Andres Santos, Azeem M. Shaikh +1

This paper considers the problem of testing whether there exists a non-negative solution to a possibly under-determined system of linear equations with known coefficients. This hyp…

math.ST2015

Constrained Conditional Moment Restriction Models

Victor Chernozhukov, Whitney K. Newey, Andres Santos

Shape restrictions have played a central role in economics as both testable implications of theory and sufficient conditions for obtaining informative counterfactual predictions. I…

math.ST2014★ 19 cited

Inference on Directionally Differentiable Functions

Zheng Fang, Andres Santos

This paper studies an asymptotic framework for conducting inference on parameters of the form , where is a known directionally differentiable function and is esti…