Table 9

CURV regression

VariablesModel 7Model 8Model 9Model 10Model 11Model 12
L.CURV0.697***0.646***0.694***0.686***0.697***0.940***
(0.0582)(0.142)(0.0562)(0.142)(0.0538)(0.0642)
Y1−0.0414−0.0354***−0.0488−0.0327***−0.0398−0.00475
(0.0314)(0.00641)(0.0411)(0.0106)(0.0404)(0.00638)
INF0.01330.0273***0.01840.0223***0.01400.00163
(0.0248)(0.00760)(0.0302)(0.00746)(0.0325)(0.00349)
FX_C−0.9760.439−3.6780.244−3.544−1.511*
(0.906)(1.335)(2.534)(1.721)(2.393)(0.808)
GOV_DEBT−0.0150−0.0390**−0.0304−0.0290−0.0102−0.0152
(0.0336)(0.0164)(0.0423)(0.0177)(0.0437)(0.0173)
Constant−0.2251.5750.3821.156−0.6820.684
(1.548)(1.533)(1.725)(1.119)(2.074)(1.229)
Estimator2SIVMGIV2SIVMGIV2SIVMGIV
Observations1,2601,2601,2601,2601,2601,260
Variance explained 0.609 0.639 0.484
No of instruments 6 6 6
No of factors 2 2 1
Hansen test (p value) 0.973 0.993 0.988

Note(s): Robust standard errors in parentheses

***p < 0.01, **p < 0.05, *p < 0.1

This table reports Two stages of instrumental variables estimation (Kripfganz and Sarafidis, 2021) for the Dependent variable: CURV. Statistics information presented includes coefficients, standard error (in parentheses), type of estimators, number of observations, variance explained (by factors), number of factors, and 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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