Stata help file on HET2

User: Guy Lacroix
help hte2
Title
hte2
Nonparametric Heterogeneous Treatment Effect Analysis
Syntax
hte2 depvar1 [depvar2 ... =] treatvar indepvars [if] [in] [, options ]
options
psmatch2_options
tt
tc
ttopts(options)
tcopts(options)
noscatter
lpoly[(options)]
lpolyci[(options)]
lowess[(options)]
listwise
casewise
overlay
combine(options)
twoway_options
Description
options as described in help psmatch2; excluding outcome(),
mahalanobis(), add, pcaliper(), w(), ate
condition on treated
condition on untreated
change look of markers for treated
change look of markers for untreated
suppress scatterplot
add a local polynomial smooth; the default (Stata 10 required)
add a local polynomial smooth with CI (Stata 10 required)
add a lowess smooth
use listwise deletion to handle missing values
synonym for listwise
include results for all dependent variables in one plot; the default
is to use separate plots and combine them into one graph using
graph combine; overlay implies noscatter
option passed through to graph combine in case of multiple depvars
(unless overlay is specified)
any options other than by() documented in [G] twoway_options
Description
hte2 applies psmatch2 (Leuven and Sianesi 2003) to compute counterfactual out comes and
then plots the treatment effect against the propensity score.
If multiple dependent variables are specified, then multiple sets of options may be
specified in lpoly(), lpolyci(), and lowess(). Use a comma separate the sets, as in
lpoly(set 1, set 2, ...). The same options are used for all dependent variables if only
one set is specified.
Dependencies
hte requires psmatch2 by Leuven and Sianesi (2003) to be installed on the system. Type
. ssc install psmatch2
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User: Guy Lacroix
to install the program.
Examples
Treatment effect of college on wages:
. sysuse nlsw88
. generate sq_exp = ttl_exp^2
. hte2 wage collgrad ttl_exp sq_exp tenure south smsa, lpoly(degree(1))
References
Leuven, E. and B. Sianesi. 2003. PSMATCH2: Stata module to perform full Mahalanobis and
propensity score matching, common support graphing, and covariate imbalance testing.
http://ideas.repec.org/c/boc/bocode/s432001.html.
Authors
Ben Jann, University of Bern, [email protected]
Jennie E. Brand, University of Calofornia - Los Angeles, [email protected]
Yu Xie, University of Michigan, [email protected]
Also see
Online:
help for hte, hte3; psmatch (if installed)
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