multe.pkg

v 1.1.0
d
d 'MULTE': Multiple Treatment Effects regression with saturated group control
d
d Given a multi-valued treatment, a saturated group variable (or a
d varlist which will be used to create a single, saturated group variable)
d within which treatment is as-good-as-randomly assigned, and a dependent
d variable, multe computes equal-weighted (ATE), variance-weighted,
d efficiently-weighted treatment effects estimates and contamination bias
d decomposition as in Goldsmith-Pinkham et al. (2022).
d
d KW: multiple
d KW: treatment
d KW: effects
d KW: Goldsmith-Pinkham
d KW: Hull
d KW: Kolesár
d
d Requires: Stata version 14.1
d
d Distribution-Date: 20240309
d
d Author: Paul Goldsmith-Pinkham
d Support: email [email]
d
d Author: Peter Hull
d Support: email [email]
d
d Author: Michal Kolesár
d Support: email [email]
d
f build/lmulte.mlib
f src/ado/multe.ado
f doc/multe.sthlp
f src/mata/multe.mata
f src/mata/multe_helpers.mata
f test/example_star.dta
f test/example_fryer_levitt.dta