Schedule
aug 27 · review · [slides] [notes] [solutions] fractions, logarithms, and exponents; calculus; matrices; probability theory
sep 03 · ml · [slides] [notes] [solutions] maximum likelihood; invariance principle; predictive distribution
sep 10 · se · [slides] [materials] [notes] [solutions] sampling distribution; parametric bootstrap; variance and standard error; delta method
sep 17 · X · [slides] [materials] [notes] [solutions] adding covariates; logit models; expected value and first difference
sep 24 · {marginaleffects} · [slides] [materials] [notes] [solutions] {marginaleffects}; information criteria; zero inflation
oct 01 · bayes · [slides] [materials] [notes] [solutions] Bayesian inference; rejection sampling; a Bayesian invariance property; censoring; duration models Due Oct. 1: prospectus for research paper.
oct 08 · mcmc · [slides] [materials] [notes] [solutions] Metropolis algorithm; HMC + Stan and its R ecosystem
oct 15 · midterm exam
oct 22 · hierarchical models, 1 · [slides] [solutions] Due: (1) first draft of research paper due and (2) initial outline of take-home workshop handout.
oct 29 · hierarchical models, 2 · [solutions] Due: (1) peer-review memo and (2) first drafts of all workshop materials.
nov 05 · irt · [slides] [solutions]
nov 12 · a final perspective · [ideal points slides] [mrp slides] [slides] [solutions] Due: workshop rehearsal
nov 19 · a final perspective, continued · [exercises]
nov 26 · thanksgiving break
Due by Tuesday: poster and second draft of research paper.
dec 03 · wrap/review · [ordered slides] [unordered slides] [interaction slides] [ATE slides] Poster presentation this week.
dec 10 · final exam [comments] Due: Final draft of research paper.