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Found 5 papers, 0 papers with code
Inference for Regression with Variables Generated from Unstructured Data
The leading strategy for analyzing unstructured data uses two steps.
Externally Valid Policy Choice
We first show that welfare-maximizing policies for the experimental population are robust to shifts in the distribution of outcomes (but not characteristics) between the experimental and target populations.
Optimal Decision Rules when Payoffs are Partially Identified
We derive optimal statistical decision rules for discrete choice problems when payoffs depend on a partially-identified parameter $\theta$ and the decision maker can use a point-identified parameter $P$ to deduce restrictions on $\theta$.
Adaptive Estimation and Uniform Confidence Bands for Nonparametric Structural Functions and Elasticities
The first is a data-driven choice of sieve dimension for a popular class of sieve two-stage least squares estimators.
Counterfactual Sensitivity and Robustness
In particular, we derive bounds on counterfactuals as the distribution of latent variables spans nonparametric neighborhoods of a given parametric specification while other "structural" features of the model are maintained.
