Interface to The Synergizer service for translating between sets
of biological identifiers.
This package provides programmatic access to
The Synergizer service for translating between sets of
biological identifiers.

Causal Inference using the Synthetic Control Group Method
Alexis Diamond <adiamond@fas.harvard.edu> and
Jens Hainmueller <jhainm@fas.harvard.edu>
Implements causal inference using the synthetic control group
method of Abadie and Gardeazabal (2003) and Abadie, Diamond,
Hainmueller (2007).
GPL2 or newer as long as authorship of this code is made
clear

Synthetic Control Group Method for Comparative Case Studies
Implements the synthetic control group
method for comparative case studies developed in Abadie and Gardeazabal (2003) and Abadie, Diamond,
Hainmueller (2007).

Implements the synthetic control group method for comparative case studies
developed in Abadie and Gardeazabal (2003) and Abadie, Diamond, Hainmueller (2007).

Alexis Diamond <adiamond@fas.harvard.edu> and Jens Hainmueller
<jhainm@mit.edu>
Implements the synthetic control group method for
comparative case studies developed in Abadie and Gardeazabal
(2003) and Abadie, Diamond, Hainmueller (2010).

Jens Hainmueller <jhainm@mit.edu> and Alexis Diamond
<adiamond@fas.harvard.edu>
Implements the synthetic control group method for
comparative case studies developed in Abadie and Gardeazabal
(2003) and Abadie, Diamond, and Hainmueller (2010).  The
synthetic control method allows for effect estimation in
settings where a single unit (a state, country, firm, etc.) is
exposed to an event or intervention.  It provides a data-driven
procedure to construct synthetic control units based on a
weighted combination of comparison units that approximates the
characteristics of the unit that is exposed to the
intervention. A combination of comparison units often provides
a better comparison for the unit exposed to the intervention
than any comparison unit alone.

Jens Hainmueller <jhainm@mit.edu> and Alexis Diamond <adiamond@fas.harvard.edu>
Implements the synthetic control group method for comparative case studies
developed in Abadie and Gardeazabal (2003) and Abadie, Diamond, and Hainmueller (2010).
The synthetic control method allows for effect estimation in settings where a
single unit (a state, country, firm, etc.) is exposed to an event or intervention.
It provides a data-driven procedure to construct synthetic control units based on a weighted
combination of comparison units that approximates the characteristics of
the unit that is exposed to the intervention. A combination of comparison units
often provides a better comparison for the unit exposed to the intervention than
any comparison unit alone.