“…To measure the effect, the researchers use diverse approaches such as logistic regression model (Imran, 2018), Ordinary Least Square (OLS) method (Kamar, 2017), regression analysis of panel data, t test, F test, and classical assumption of normality, multicollinearity, heteroscedasticity and autocorrelation tests (Asmirantho & Somantri, 2017), boostraping in the Structural Equation Modelling-Partial Least Square (SEM-PLS) (Bustani et al, 2021), Common Effect, Fixed Effect, and Random Effect. Chow test model, Hausman test, and Lagrange Multiplier test (Herawati & Angger, 2018;Siregar & Doriawaty, 2021), Weighted Least Square (WLS) (Musallam, 2018), VAR methodology (Meriç et al, 2017), a multiple regression analysis (Husna & Satria, 2019;and Karamoy & Tulung, 2020).…”