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Master.do text/x-stata-syntax 191 bytes 10/18/2020 11:46:AM
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Tables_in_Paper.do text/x-stata-syntax 9.2 KB 10/18/2020 11:46:AM
combinecohorts.do text/x-stata-syntax 2.2 KB 10/18/2020 12:12:PM
makeworkingdata_1718.do text/x-stata-syntax 29.7 KB 10/18/2020 11:45:AM
makeworkingdata_1819.do text/x-stata-syntax 27.5 KB 10/18/2020 11:44:AM

Project Citation: 

Bayer, Amanda, Bhanot, Syon, Bronchetti, Erin , and O’Connell, Stephen. Data and Code for: Diagnosing the Learning Environment in Introductory Economics: An Analysis of Relevance, Belonging, and Growth Mindsets. Nashville, TN: American Economic Association [publisher], 2020. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2020-10-20. https://doi.org/10.3886/E124641V1

Project Description

Summary:  View help for Summary As part of our profession’s continuing efforts to understand and address the underrepresentation of women and minority students in undergraduate economics majors, this paper analyzes administrative and survey data to diagnose the learning environment in an introductory economics course.  The first key contribution of our study is to document significantly lower survey measures of relevance, belonging, and growth mindsets (RBG) among women and URM students in introductory economics relative to non-URM men. Linking these measures to administrative data, we find that students with lower measures of RBG also tend to earn lower grades in the course and are less likely to declare economics as a major.We then provide evidence on the impact of a new, low-cost initiative that our department introduced to encourage persistence in economics among women and URM students.

Scope of Project

JEL Classification:  View help for JEL Classification
      A20 Economic Education and Teaching of Economics: General
      A22 Economic Education and Teaching of Economics: Undergraduate
Time Period(s):  View help for Time Period(s) 9/1/2017 – 5/30/2019 (Academic Years 2017-18 and 2018-19)
Universe:  View help for Universe Introductory economics students at Swarthmore College who took their introductory course in 2017-18 or 2018-19.
Data Type(s):  View help for Data Type(s) program source code


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