Data and code for "A Pareto-Improving Way to Teach Principles of Economics: Evidence from the University of Toronto"

Principal Investigator(s): View help for Principal Investigator(s) Dwayne Benjamin, University of Toronto; Avi Cohen, University of Toronto and York University; Gillian Hamilton, University of Toronto

Version: View help for Version V1

Name	File Type	Size	Last Modified
Data-and-code			08/25/2020 02:33:PM
LICENSE.txt	text/plain	1.4 KB	08/25/2020 10:32:AM
readme.pdf	application/pdf	96.7 KB	08/25/2020 10:33:AM

Project Citation:

Benjamin, Dwayne, Cohen, Avi, and Hamilton, Gillian. Data and code for “A Pareto-Improving Way to Teach Principles of Economics: Evidence from the University of Toronto.” Nashville, TN: American Economic Association [publisher], 2020. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2020-09-10. https://doi.org/10.3886/E120768V1

Project Description

Summary: University of Toronto undergraduates can choose between conventional and literacy-targeted (LT) principles of economics courses. We compare demographics and performance in subsequent courses for 13,000 students over 11 years and find that LT courses attract a greater percentage of female and domestic students; conditional on meeting grade thresholds, LT students do just as well in intermediate theory and statistics courses as conventional principles students; women do as well or better than men in intermediate theory and statistics courses. With appropriately chosen thresholds, departments offering LT courses can preserve subsequent disciplinary rigor and address underrepresentation of women and minorities.

Scope of Project

Subject Terms: Introductory Economics; Literacy-targeted principles; Undergraduate education; Gender; Diversity

JEL Classification:
      A22 Economic Education and Teaching of Economics: Undergraduate
      I23 Higher Education; Research Institutions
      J15 Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
      J16 Economics of Gender; Non-labor Discrimination

Geographic Coverage: Canada

Time Period(s): 2006 – 2017

Universe: First year Economics students at the University of Toronto, 2006-2017.

Data Type(s): administrative records data

Methodology

Unit(s) of Observation: Individual student

Geographic Unit: Canada (University of Toronto)

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Published Versions

V1 [2020-09-10]

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