| Name : R-DIDmultiplegt
| |
| Version : 0.1.4
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp154.1.1
| Date : 2024-06-07 14:45:53
|
| Group : Development/Libraries/Other
| Source RPM : R-DIDmultiplegt-0.1.4-lp154.1.1.src.rpm
|
| Size : 0.06 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Estimation in DID with Multiple Groups and Periods
|
Description :
Estimate the effect of a treatment on an outcome in sharp
Difference-in-Difference designs with multiple groups and periods. It
computes the DIDM estimator introduced in Section 4 of \"Two-Way Fixed
Effects Estimators with Heterogeneous Treatment Effects\" (Chaisemartin,
D\'Haultfoeuille (2020) < doi:10.1257/aer.20181169>), which generalizes
the standard DID estimator with two groups, two periods and a binary
treatment to situations with many groups,many periods and a potentially
non-binary treatment. For each pair of consecutive time periods t-1 and
t and for each value of the treatment d, the package computes a DID
estimator comparing the outcome evolution among the switchers, the
groups whose treatment changes from d to some other value between t-1
and t, to the same evolution among control groups whose treatment is
equal to d both in t-1 and t. Then the DIDM estimator is equal to the
average of those DIDs across all pairs of consecutive time periods and
across all values of the treatment. Under a parallel trends assumption,
DIDM is an unbiased and consistent estimator of the average treatment
effect among switchers, at the time period when they switch. The
package can also compute placebo estimators that can be used to test
the parallel trends assumption. Finally, in staggered adoption designs
where each group\'s treatment is weakly increasing over time, it can
compute estimators of switchers\' dynamic treatment effects, one time
period or more after they have started receiving the treatment.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.4/x86_64 |
