Economics students: Self-selected in preferences and indoctrinated in beliefs Espín Martín, Antonio Manuel Correa Gómez, Manuel Ruiz Villaverde, Alberto Self-selection Indoctrination Self-interest Inequality aversion Beliefs Antonio M. Espin acknowledges funding by the European Union's Horizon 2020 research and innovation program and UGR Research and Knowledge Transfer Fund -Athenea3i [Marie Sklodowska-Curie grant agreement No. 754446]. The authors acknowledge the financial support received from Universidad de Granada/CBUA for open access charge. There is much debate as to why economics students display more self-interested behavior than other students: whether homo economicus self-select into economics or students are instead “indoctrinated” by economics learning, and whether these effects impact on preferences or beliefs about others’ behavior. Using a classroom survey (n > 500) with novel behavioral questions we show that, compared to students in other majors, econ students report being: (i) more selfinterested (in particular, less compassionate or averse to advantageous inequality) already in the first year and the difference remains among more senior students; (ii) more likely to think that people will be unwilling to work if unemployment benefits increase (thus, endorsing the standard neoclassical view about others and the market), but only among senior students. These results suggest self-selection in preferences and indoctrination in beliefs. 2022-05-12T12:01:01Z 2022-05-12T12:01:01Z 2021-12-16 info:eu-repo/semantics/article Antonio M. Espín, Manuel Correa, Alberto Ruiz-Villaverde, Economics students: Self-selected in preferences and indoctrinated in beliefs, International Review of Economics Education, Volume 39, 2022, 100231, ISSN 1477-3880, [https://doi.org/10.1016/j.iree.2021.100231] http://hdl.handle.net/10481/74813 10.1016/j.iree.2021.100231 eng info:eu-repo/grantAgreement/EC/H2020/754446 http://creativecommons.org/licenses/by-nc-nd/3.0/es/ info:eu-repo/semantics/openAccess Atribución-NoComercial-SinDerivadas 3.0 España Elsevier