Table 9

Lewbel method of Two-Stage Least Squares (2SLS) for endogeneity test

(1)(2)(3)(4)(5)(6)(7)
VariableslnEPUFSD scoreForecasterNumber of forecastsPrecisionSpecificityHorizon
Instrumented LnEPU −0.116***0.235***0.091***−0.434***−0.379***0.193***
 (0.024)(0.011)(0.033)(0.057)(0.066)(0.021)
LnPCI0.733***      
(0.002)      
LnSize0.021***−0.034***0.031***0.036***0.067***0.209***0.001
(0.001)(0.005)(0.002)(0.010)(0.019)(0.024)(0.007)
Leverage0.029***−0.136***0.015**−0.121**0.053−0.409***−0.063*
(0.004)(0.023)(0.007)(0.053)(0.086)(0.111)(0.033)
MTB0.000***0.002***−0.001***−0.001−0.000−0.000−0.001
(0.000)(0.001)(0.000)(0.001)(0.001)(0.001)(0.000)
ROA0.014***0.067***−0.001−0.129***0.1350.570**−0.032
(0.003)(0.017)(0.003)(0.049)(0.096)(0.252)(0.040)
CFOA−0.013***−0.207***0.013***0.602***0.345**0.753***0.014
(0.004)(0.024)(0.005)(0.085)(0.144)(0.219)(0.060)
Cash Volatility−0.0000.012−0.002−0.111***−0.050−0.244−0.011
(0.001)(0.008)(0.002)(0.033)(0.085)(0.159)(0.027)
Sales Volatility−0.0000.046**−0.020***−0.118***−0.135*−0.248−0.052
(0.003)(0.020)(0.006)(0.044)(0.072)(0.356)(0.033)
INVZ0.001***0.004***0.001***0.014**−0.024**0.006−0.006
(0.000)(0.001)(0.000)(0.007)(0.010)(0.013)(0.004)
GDP Growth0.013***−0.005**−0.016***−0.005*0.021***0.018***−0.005**
(0.000)(0.002)(0.001)(0.003)(0.005)(0.004)(0.002)
VIX0.046***0.001−0.011***−0.006***0.013***0.010***−0.005***
(0.000)(0.001)(0.000)(0.001)(0.002)(0.003)(0.001)
Constant−3.458***      
(0.010)      
Observations61,35661,35661,35611,91011,9107,45511,910
Adjusted R-squared0.7400.0060.0290.0130.0270.1180.009
Firm FEYesYesYesYesYesYesYes
Diagnostic tests
Underidentification test 2,4152,415693.8693.8408693.8
Chi-sq(1) P-val 0.0000.0000.0000.0006.85e−062.72e−07
Weak identification test 16,94516,9453,2433,2431,3113,243
Hansen J statistic 15.40427.4138.272.9642.2225
Chi-sq(1) P-val 0.1180.0000.0000.0007840.4380.00535
Endogeneity test 18.56144.926.3211.280.60226.44
Chi-sq(1) P-val 1.64e−050.0002.89e−070.0000.0000.000

Note(s): This table presents the results of a two-stage least squares (2SLS) regression utilising Lewbel (2012)’s heteroscedasticity-based instrumental variable (IV) approach combined with the Political Polarization Index (Ln PCI) to address potential endogeneity in the relationship between Economic Policy Uncertainty (Ln EPU) and corporate disclosure quality. Column (1) presents the first-stage regression results, where internally generated Lewbel IVs based on model heteroscedasticity and the Political Polarization Index are employed as instrumental variables for Ln EPU. Columns (2) through (7) report the second-stage regression results, where the instrumented Ln EPU is used as the main explanatory variable to evaluate its effect on various corporate disclosure measures, including FSD Score, Forecaster, Number of Forecasts, Precision, Specificity, and Horizon. The bottom of the table presents the results of four instrument diagnostic tests. The 2SLS regression model is utilised for the analysis with firm fixed effects based on Gvkey. The coefficients related to firm fixed effects are suppressed in the respective columns for brevity. All models include a constant term. Robust standard errors are presented in parentheses and are clustered at the establishment level. Statistical significance is denoted by ***, **, and * at the 1%, 5%, and 10% levels, respectively. All variables are defined in  Appendix 1

Source(s): Authors’ own work

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