19 citations · 19 across the 8 of their papers we have counts for
9 papers · 1 filter
Coping with Inductive Risk When Theories are Underdetermined: Decision Making with Partial Identification
Charles F. Manski
Controversy about the significance of underdetermination of theories persists in the philosophy and conduct of science. The issue has practical import when research is used to info…
Prediction with Differential Covariate Classification: Illustrated by Covariate Classification in Medical Risk Assessment
Atheendar S. Venkataramani, Charles F. Manski, John Mullahy
A common practice in evidence-based decision-making uses estimates of conditional probabilities P(y|x) obtained from research studies to predict outcomes y on the basis of observed…
The Subtlety of Optimal Paternalism in a Population with Bounded Rationality
Charles F. Manski, Eytan Sheshinski
We study the subtlety of optimal paternalism when a utilitarian planner has the power to design a discrete choice set for a heterogeneous population with bounded rationality. We fi…
Inference with Imputed Data: The Allure of Making Stuff Up
Charles F. Manski
Incomplete observability of data generates an identification problem. There is no panacea for missing data. What one can learn about a population parameter depends on the assumptio…
Minimax-Regret Climate Policy with Deep Uncertainty in Climate Modeling and Intergenerational Discounting
Stephen J. DeCanio, Charles F. Manski, Alan H. Sanstad
Integrated assessment models have become the primary tools for comparing climate policies that seek to reduce greenhouse gas emissions. Policy comparisons have often been performed…
Probabilistic Prediction for Binary Treatment Choice: with focus on personalized medicine
Charles F. Manski
This paper extends my research applying statistical decision theory to treatment choice with sample data, using maximum regret to evaluate the performance of treatment rules. The s…