2026-10-11T09:50:04Z https://data.mendeley.com/oai

oai:data.mendeley.com/hps7rcbwm6.1 2022-02-10T11:59:38Z

Ungureanu, Adina Teodora Data Repository Mendeley Data We have used the dataset of Joint EVS/WVS 2017-2020, allowing for comparisons of tax morality in more than 79 countries worldwide, applying machine learning variable selection methods suited to categorical variables (Chi-Squared and mutual information). The empirical results revealed that variables like: religious denomination, faith in God and the importance of God, together with the level of trust in people from other religion, confidence in churches have been connected with a significantly increased the extent of tax morale, being the most relevant variables of religiosity. Statistics Machine Learning Davidescu, Adriana AnaMaria Manta, Eduard Mihai Dataset doi:10.17632/hps7rcbwm6.1 oai:data.mendeley.com/hps7rcbwm6.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/hps7rcbwm6 2022-02-10T11:59:38Z