“…In the Hausman test, the null hypothesis is rejected in the random effect model as the p-value of the chi-square statistic is less than 0.01, indicating that the fixed effect model is the appropriate to estimate the model (see table 9). Existing financial inclusion studies have also used the fixed effect model such as Daud (2023), Nsiah and Tweneboah (2023) and Ozili (2023b). The panel fixed effect model allows us to control for all time-invariant omitted variables which are difficult to observe (Pesaran and Zhou, 2018), and it reduces the potential sources of biases in the estimations in comparison to the random effect model, thereby giving us a less biased estimator (Pesaran and Zhou, 2018).…”