How this and other machine learning models resolves the challenges in panal data

Is this and other machine learning models are perfectly fine for panal data analysis? How can we incorporate the year effect and industry effect in the model as we do in the conventional models (fixed effect model, random effect model, GMM) of panal data? Further, how can we check the reverse causal, and endogeneity problems in this and other machine learning models? Thanks