Search Results for author:
Found 5 papers, 1 papers with code
Decision Theory for Treatment Choice Problems with Partial Identification
We apply classical statistical decision theory to a large class of treatment choice problems with partial identification, revealing important theoretical and practical challenges but also interesting research opportunities.
A Better Test of Choice Overload
Choice overload - by which larger choice sets are detrimental to a chooser's wellbeing - is potentially of great importance to the design of economic policy.
Bounding Infection Prevalence by Bounding Selectivity and Accuracy of Tests: With Application to Early COVID-19
I propose novel partial identification bounds on infection prevalence from information on test rate and test yield.
Constraint Qualifications in Partial Identification
The literature on stochastic programming typically restricts attention to problems that fulfill constraint qualifications.
Revealed Price Preference: Theory and Empirical Analysis
We develop a novel test of linear hypotheses on partially identified parameters to estimate the proportion of the population who are revealed better off due to a price change in the latter application.
