Synthetic Control Methods with Micro- And Meso-Level Data

A generalization of the 'Synth' package that is designed for data at a more granular level (e.g., micro-level). Provides functions to construct weights (including propensity score-type weights) and run analyses for synthetic control methods with micro- and meso-level data; see Robbins, Saunders, and Kilmer (2017) .


Reference manual

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2.0.13 by Michael Robbins, 8 days ago

Browse source code at

Authors: Michael Robbins [aut, cre] , Steven Davenport [aut]

Documentation:   PDF Manual  

GPL-3 license

Imports boot, survey, MASS, stats, utils, kernlab, LowRankQP, nleqslv, pracma, parallel

Suggests knitr, xlsx, rmarkdown

See at CRAN