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IVREGHDFE: reghdfe + ivreg2 (adds instrumental variable and additional robust SE estimators to reghdfe)
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install
This package integrates reghdfe
into ivreg2
, through an absorb()
option. This allows IV/2SLS regressions with multiple levels of fixed effects.
Recent updates
- version 1.1.2 29Sep2022:
- Fix bug #44; where cluster(...) worked but vce(cluster ...) was silently ignored
- Fix bug #46; small correction to e(cmdline)
- version 1.1.1 14dec2021:
- Add experimental support for
margins
postestimation command.
- Add experimental support for
- version 1.1 26feb2021:
- Update
ivreg2
dependency from 4.1.10 9Feb2016 to 4.1.11 22Nov2019. - Update
reghdfe
dependency from 5.9.0 03jun2020 to 6.0.2 25feb2021 - Before, reghdfe options had to be passed as suboptions of
absorb()
. Now they are passed directly as normal options - Note that some options are slightly different in reghdfe v6 (e.g. the exact technique used is set through the
technique()
option, following Stata convention). - Note that there might be a tiny difference in the SE estimates of ivreghdfe wrt those in reghdfe when both are used to run OLS instead of IV.
- This happens if we have clustered standard errors, and the fixed effects are nested within the clusters.
- Then, when computing the small sample adjustment
q
, reghdfe divides by (N-K-1) while ivreg2 (and thus ivreghdfe) divides by (N-K) reghdfe
does so to keep consistency with the small sample adjustment done byxtreg
- For more details see comment in code ("minor adj. so we match xtreg when the absvar is nested within cluster")
- Update
Comparison with other commands
As seen in the table below, ivreghdfe
is recommended if you want to run IV/LIML/GMM2S regressions with fixed effects, or run OLS regressions with advanced standard errors (HAC, Kiefer, etc.)
Command | regress | areg | reghdfe | ivreg2 | ivreghdfe |
---|---|---|---|---|---|
Models: | OLS | OLS | OLS | OLS, IV, LIML, GMM2S, CUE | OLS, IV, LIML, GMM2S (not CUE!) |
Fixed effects? | - | One-way | Multi-way | - | Multi-way |
Cluster SE? | One-way | One-way | Multi-way | Two-way | Two-way |
Additional SEs: | - | - | - | AC, HAC, Kiefer, Driscol-Kraay, etc. | AC, HAC, Kiefer, Driscol-Kraay, etc. |
(Speed) Time without FEs: | 1x | - | 2x | 3.7x | 4.3x |
(Speed) Time with one FE: | - | 6.3x | 2.1x | - | 4.6x |
(Benchmark run on Stata 14-MP (4 cores), with a dataset of 4 regressors, 10mm obs., 100 clusters and 10,000 FEs)
Installation
ivreghdfe
requires three packages: ivreg2
, reghdfe
(version 5.x) and ftools
. Run the lines below to install everything you might possibly need:
* Install ftools (remove program if it existed previously)
cap ado uninstall ftools
net install ftools, from("https://raw.githubusercontent.com/sergiocorreia/ftools/master/src/")
* Install reghdfe
cap ado uninstall reghdfe
net install reghdfe, from("https://raw.githubusercontent.com/sergiocorreia/reghdfe/master/src/")
* Install ivreg2, the core package
cap ado uninstall ivreg2
ssc install ivreg2
* Finally, install this package
cap ado uninstall ivreghdfe
net install ivreghdfe, from(https://raw.githubusercontent.com/sergiocorreia/ivreghdfe/master/src/)
Advice
This code just modifies ivreg2
adding an absorb()
option that uses
reghdfe
s Mata functions (see this link for the line-by-line differences).
When used, absorb()
will also activate the small
, noconstant
and nopartialsmall
options of ivreg2
(basically to force small sample adjustments, which are
required as we might have a substantial number of fixed effects).
You can also use all other reghdfe options as normal options of ivreghdfe
(e.g. tolerance, choice of transform, etc.):
sysuse auto, clear
ivreghdfe price weight (length=gear), absorb(turn trunk) tol(1e-6) accel(sd)
This is gives the same result as using the old version of reghdfe (but slower):
reghdfe price weight (length=gear), absorb(turn trunk) tol(1e-6) accel(sd) version(3)
Residuals
To save residuals, do this:
sysuse auto
ivreghdfe price weight, absorb(trunk) resid(myresidname)
You can also use the other predict options of reghdfe
, such as d
:
predict d, d