Table 5

COVID-19 outbreak and CSR disclosure – robustness checks

Explanatory variablesDependent variable: CSR disclosure
(1)(2)(3)
NonlinearityAlternate independent variable: ROLL_COVIDInstrumental variable estimator: 2SLS
COVIDNZ,t0.796*** (0.043)1.647*** (0.033)1.553*** (0.030)
SQ_COVIDNZ,t0.129*** (0.011)  
RANGEi,t−0.225*** (0.082)−0.370*** (0.082)−0.338*** (0.081)
ILLIQi,t−0.366*** (0.057)−0.404*** (0.054)−0.396*** (0.053)
PROFi,t−0.185* (0.095)−0.116 (0.089)−0.132 (0.088)
LEVi,t0.029 (0.039)0.049 (0.032)0.044 (0.031)
SIZEi,t1.119*** (0.187)1.105*** (0.143)1.119*** (0.141)
AGEj,t0.461*** (0.073)0.492*** (0.074)0.493*** (0.073)
BETANZ,tMKT−0.057 (0.041)−0.058 (0.042)−0.060 (0.042)
BETANZ,tSMB−0.340*** (0.107)−0.356*** (0.116)−0.348*** (0.115)
BETANZ,tHML0.178*** (0.065)0.186** (0.092)0.181** (0.091)
BETANZ,tMOM−0.100** (0.040)−0.099** (0.041)−0.098** (0.040)
CONSTANTi,t5.045*** (0.718)3.323*** (0.69)4.180*** (0.678)
Industry effectYesYesYes
Observations2,6722,6722,672
Fstat (pvalue)0.0000.0000.000
Adj R20.5570.5210.535

Note(s): Table 5 reports the results of the robustness checks in columns (1), (2) and (3). Column (1) presents the results for the test examining the nonlinear functional form of the model. In column (2), we check the consistency of baseline results using a 5-day rolling average of COVID (an alternate IV). We also confirm the robustness of baseline results by re-estimating the model using alternate estimator two-stage least square (2SLS) in column (3). The robust standard errors are reported in the parentheses. And “***”, “**” and “*” represent the significance at 1, 5 and 10% levels, respectively. The variables are defined as in  Appendix

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