Data and Code for: "Universalism: Global Evidence"
Principal Investigator(s): View help for Principal Investigator(s) Alexander Cappelen, Norwegian School of Economics; Benjamin Enke, Harvard University. Department of Economics; Bertil Tungodden, Norwegian School of Economics
Version: View help for Version V1
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GUS_Package_AER | 12/23/2024 04:22:AM | ||
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application/pdf | 441.6 KB | 12/22/2024 11:15:PM |
Project Citation:
Cappelen, Alexander, Enke, Benjamin, and Tungodden, Bertil. Data and Code for: “Universalism: Global Evidence.” Nashville, TN: American Economic Association [publisher], 2025. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2024-12-29. https://doi.org/10.3886/E205581V1
Project Description
Summary:
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This paper leverages nationally representative surveys across 60 countries and 64,000 respondents to present novel stylized facts about the relationship-specific nature of altruism. Across individuals, universalist preferences systematically vary with demographics such as age and religiosity, and are predictive of many left-wing political views, albeit in culturally highly heterogeneous ways. Across countries, universalism is strongly linked to a broader radius of trust. Looking at origins, universalism varies with the economic, political and religious organization of societies in ways that are consistent with the idea that the scope of altruism is partly shaped by economic incentives and democracy.
This repository contains code and data to reproduce the results contained in the paper.
This repository contains code and data to reproduce the results contained in the paper.
Funding Sources:
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Research Council of Norway (262675, 236995, 250415)
Scope of Project
Subject Terms:
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universalism;
culture;
political economy
JEL Classification:
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D01 Microeconomic Behavior: Underlying Principles
D70 Analysis of Collective Decision-Making: General
D01 Microeconomic Behavior: Underlying Principles
D70 Analysis of Collective Decision-Making: General
Geographic Coverage:
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60 countries
Collection Date(s):
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9/1/2020 – 3/1/2022
Universe:
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Nationally representative sample in 60 different countries. Samples are representative of adult population > 18 years of age
Data Type(s):
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experimental data;
program source code;
survey data
Methodology
Unit(s) of Observation:
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Individual and country level
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