Table 11

Robustness check--alternative proxies part II

VariablesModel 17Model 18Model 19Model 20
L.SLOPE0.521***0.340**0.521***0.340**
(0.0721)(0.134)(0.0721)(0.134)
Y1−0.305***−0.423***−0.305***−0.423***
(0.0428)(0.0254)(0.0428)(0.0254)
INF
CBRATE0.0874**0.109***0.0874**0.109***
(0.0419)(0.0295)(0.0419)(0.0295)
FX_C2.286***0.6292.286***0.629
(0.689)(3.715)(0.689)(3.715)
GOV_DEBT−0.0104−0.217***−0.0104−0.217***
(0.0196)(0.0772)(0.0196)(0.0772)
FIS_BAL
Constant2.177**12.81***2.177**12.81***
(0.996)(4.211)(0.996)(4.211)
EstimatorMGIV2SIVMGIV2SIV
Observations1,2511,2511,2511,251
Variance Explained 0.684 0.684
No of Instruments9999
No of Factors 6 6
Hansen Test (p value) 0.951 0.951

Note(s): Robust standard errors in parentheses

***p < 0.01, **p < 0.05, *p < 0.1

This table reports the second part of robustness check regression. A robustness check is conducted using the Dependent variable, SLOPE but with alternative proxies for Interest Expectation (INF vs CBRATE) and Fiscal condition variables (FIS_BAL vs GOV_DEBT) with instrument set I. Statistics presented are coefficients, standard error (in parentheses), type of estimators, number of observations, variance explained (by factors), number of factors, and the Overidentifying restriction test (Hansen test p-value). The significance levels at 0.01, 0.05, and 0.1 are denoted by ***, **, and *, respectively

Source(s): Authors' calculation

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