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MICHAEL MOLDOFF
EDUCATION
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M.A., Statistics, Yale University, 2006, New Haven, CT
B.S., Mathematics/Statistics, University of Connecticut, 2005,
Storrs, CT
Magna cum laude
Economics Minor
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Related Courses: Single and Multivariate Calculus, Intermediate
Micro/Macroeconomics, Differential Equations, Linear Algebra,
Mathematical Statistics, Probability Theory, Numerical Analysis,
Stochastic Processes, Analysis of Experiments, Data Analysis,
Statistical Consulting
PROFESSIONAL EXPERIENCE
September 2011-Present – Programmer Analyst 2, RAND, Santa Monica, CA
October 2010-August 2011 – Mathematical Statistician, Center for
Administrative Records Research and Applications, US Census Bureau,
Washington, DC
June 2006-October 2010 – Mathematical Statistician, Decennial
Statistical Studies Division, US Census Bureau, Washington, DC
PROFESSIONAL SKILLS
Michael Moldoff is a Research Programmer in the Research Information
Services Group (RIS) of Information Services (IS). He has employed
methods such as factor analysis, discriminant analysis, cluster
analysis, and many modeling techniques to identify trends and
differences in large datasets. The tasks he has engaged in
frequently have no established template, so independent and creative
thinking is a must. He is proficient in SAS, R,STATA, SPSS, MMIC, C,
and the Linux environment.
He has worked closely on the RAND HRS, creating the codebooks as
well as serving as the lead programmer for the wealth imputations.
He has also worked on other longitudinal surveys such as ELSA and
SHARE.
His work has specialized in logistic regression, missing data
techniques, statistical sampling and modeling.
PROFESSIONAL ORGANIZATIONS/HONORS
RAND Agility Award – July 2013. Awarded for work done on the
completely redesigned RAND HRS wealth imputations.
August 2013
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