Charles
F. Manski
Curriculum
Vitae
Further information at charlesmanski.com
Autobiographical Reflections: Unlearning and Discovery, ET
Interview
COVID-19
Articles
Estimating
the COVID-19 Infection Rate: Anatomy of an Inference Problem, with
Francesca Molinari, Journal of Econometrics, 2021
Adaptive
Diversification of COVID-19 Policy, VoxEU,
June 12, 2020
Bounding
the Accuracy of Diagnostic Tests, with Application to COVID-19 Antibody Tests,
Epidemiology, 2021
Statistical Decision
Properties of Imprecise Trials Assessing COVID-19 Drugs, with Aleksey Tetenov, June 2020
Coping
with COVID Uncertainties, presented at the 3rd IESR-GLO Joint Conference, June
2020 text, video
Forming COVID-19 Policy under Uncertainty, Journal of
Benefit-Cost Analysis, 2020
Vaccination Planning under
Uncertainty, with Application To Covid-19.
Forthcoming
Articles
Minimax-Regret
Sample Design in Anticipation of Missing Data, with Application to Panel Data,
with Jeff Dominitz, Journal of Econometrics
Tail
and Center Rounding of Probabilistic Expectations in the Health and Retirement
Study, with Pamela Giustinelli and Francesca
Molinari, Journal of Econometrics
Public
Statements on Science in the Federal Government
Policy
Analysis in a Post-Truth World, VOX,
December 24, 2016
Trump
Administration’s Attacks on Science Are Taking a Grim Toll, with B. Santer and R. Weymann, The
Mercury News, January 3, 2018
Speaking
Science to Power, with B. Santer and R. Weymann, Scientific American, April 23, 2018
STATEMENT
TO RESTORE SCIENCE-BASED POLICY IN GOVERNMENT, By
Concerned Members of the U.S. National Academy of Sciences, April 2018
Link
to NAS Open Letter History statement,
July 2020
Communicating Uncertainty in Policy Analysis, Proceedings
of the National Academy of Sciences, 2019.
WZB Distinguished
Lecture video, 2019
Science and Scientific Expertise are More
Important than Ever, with R. Weymann and B. Santer,
Scientific American, August 5, 2020.
Working
Papers
Misguided Use of
Observed Covariates to Impute Missing Covariates in Conditional Prediction: A
Shrinkage Problem, with M. Gmeiner and A. Tambur
Addressing Partial Identification in
Climate Modeling and Policy Analysis, with Alan Sanstad
and Stephen DeCanio.
Econometrics for Decision Making:
Building Foundations Sketched by Haavelmo and Wald
Precise
or Imprecise Probabilities? Evidence from survey response on late-onset
dementia, with Pamela Giustinelli and Francesca
Molinari
The Quantile Performance of
Statistical Treatment Rules Using Hypothesis Tests to Allocate a Population to
Two Treatments, with Aleksey Tetenov
Links to Books
C. Manski,
Patient Care under
Uncertainty, Princeton University Press, 2019.
C.
Manski, Public Policy in
an Uncertain World: Analysis and Decisions,
Harvard University Press, 2013
Link to video recording of
Cemmap Masterclass on themes of the book in March
2013 (six 90-minute lectures)
C. Manski, Identification for
Prediction and Decision, Harvard University
Press, 2007
C. Manski, Social Choice with
Partial Knowledge of Treatment Response,
Princeton University Press, 2005.
C. Manski, Partial
Identification of Probability Distributions,
Springer-Verlag, 2003
C. Manski, J. Pepper, and C.
Petrie (editors), Informing America's Policy on
Illegal Drugs: What We Don't Know Keeps Hurting Us, National Academy Press, 2001 (book can be read online)
B. Fischhoff
and C. Manski (editors), Elicitation
of Preferences, Kluwer, 2000
C. Manski, Identification
Problems in the Social Sciences, Harvard,
1995
C. Manski and I. Garfinkel
(editors), Evaluating Welfare
and Training Programs, Harvard, 1992
C. Manski, Analog Estimation Methods in
Econometrics, Chapman & Hall, 1988
(out-of-print book can be downloaded for private use)
C. Manski and D. Wise College Choice in
America, Harvard, 1983
C. Manski and D. McFadden
(editors), Structural
Analysis of Discrete Data with Econometric Applications, MIT Press, 1981 (out-of-print
book can be downloaded for private use)
Samuil Manski, With God’s Help, 1990 (book can be
downloaded for private use)
Courses
Economics
480-1, Introduction to Econometrics, Fall 2020
(first-year Ph.D. course), past examinations
Economics 483,
Applied Econometrics, Fall 2020 (Ph.D. field course)
The Survey of Economic
Expectations