Packaged: 2011-04-27 12:36:39 UTC; jhainmueller

Package: Synth
Version: 1.1-1
Date: 2011-9-27
Title: Synthetic Control Group Method for Comparative Case Studies
Author: Jens Hainmueller <jhainm@mit.edu> and Alexis Diamond
<adiamond@fas.harvard.edu>
Maintainer: Jens Hainmueller <jhainm@mit.edu>
Description: 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.
Imports: kernlab, optimx
Suggests: rgenoud, LowRankQP
License: GPL (>= 3)
URL: http://www.mit.edu/~jhainm/software.htm
Packaged: 2011-09-28 12:46:43 UTC; jhainmueller
Repository: CRAN
Date/Publication: 2011-09-28 13:47:32

Package: Synth
Version: 1.1-2
Date: 2011-12-26
Title: Synthetic Control Group Method for Comparative Case Studies
Author: Jens Hainmueller <jhainm@mit.edu> and Alexis Diamond <adiamond@fas.harvard.edu>
Maintainer: Jens Hainmueller <jhainm@mit.edu>
Description: 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.
Imports: kernlab, optimx
Suggests: rgenoud, LowRankQP
License: GPL (>= 3)
URL: http://www.mit.edu/~jhainm/software.htm
Packaged: 2011-12-27 00:54:59 UTC; jhainmueller
Repository: CRAN
Date/Publication: 2011-12-27 10:06:00