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st: ivreg2 & diagnostic statistics
From
Urska Kosi <[email protected]>
To
[email protected]
Subject
st: ivreg2 & diagnostic statistics
Date
Fri, 20 May 2011 18:12:57 +0200
Dear statalist,
I have been encountering some problems with ivreg2 command. In
particular with the following diagnostic statistics:
I have a model with cost of debt as dependent variable. Because loan
terms are assumed to be determined jointly, so I use ivreg2 command. I
have two endogenous regressors and I use one instrument for the first
and 2 instruments for the second. I use cluster option (clustering on
firms).
I would like to get the Cragg-Donald F statistic (using ffirst
option). Since I use cluster option with ivreg2, Kleinberg-Paap F
statistic should be reported but I my case even this one cannot be
calculated. Is this because I have 2 endogenous variables? Any
suggestion how to obtain either the Cragg-Donald or Kleinberg-Paap F
statistic?
Similar, I would like to get the Anderson LM statistic (using ffirst
option). Since I use cluster option, Kleinberg-Paap LM statistic
should be reported but I my case even this one cannot be calculated.
Is this because I have 2 endogenous variables? Any suggestion how to
obtain either the Anderson or Kleinberg-Paap LM statistic?
Here is how the output looks like:
Summary results for first-stage regressions
-------------------------------------------
Variable | Shea Partial R2 | Partial R2 | F( 3, 2268) P-value
maturity | 0.0020 | 0.0023 | 3.17 0.0235
secured | 0.1845 | 0.2170 | 6.28 0.0003
NB: first-stage F-stat cluster-robust
Underidentification tests
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
Kleibergen-Paap rk LM statistic Chi-sq(2)=. P-val= .
Kleibergen-Paap rk Wald statistic Chi-sq(2)=. P-val= .
Weak identification test
Ho: equation is weakly identified
Kleibergen-Paap Wald rk F statistic .
See main output for Cragg-Donald weak id test critical values
Weak-instrument-robust inference
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and overidentifying restrictions are valid
Anderson-Rubin Wald test F(3,2268)=13.50 P-val=0.0000
Anderson-Rubin Wald test Chi-sq(3)=41.30 P-val=0.0000
Stock-Wright LM S statistic Chi-sq(3)=41.80 P-val=0.0000
NB: Underidentification, weak identification and weak-identification-robust
test statistics cluster-robust
Number of clusters N_clust = 2269
Number of observations N = 9027
Number of regressors K = 172
Number of instruments L = 173
Number of excluded instruments L1 = 3
I appreciate any suggestions or advice about my concerns.
Thanks a lot,
Urska
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