Data and Code for: The Immigrant Next Door

Principal Investigator(s): View help for Principal Investigator(s) Leonardo Bursztyn, The University of Chicago and NBER; Thomas Chaney, University of Southern California, Sciences Po, and CEPR; Tarek A. Hassan, Boston University, NBER, and CEPR; Aakaash Rao, Harvard University

Version: View help for Version V1

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TOP			12/12/2023 12:35:PM

Project Citation:

Bursztyn, Leonardo, Chaney, Thomas, Hassan, Tarek A., and Rao, Aakaash. Data and Code for: The Immigrant Next Door. Nashville, TN: American Economic Association [publisher], 2024. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2024-01-18. https://doi.org/10.3886/E191911V1

Project Description

Summary:

We study how decades-long exposure to individuals of a given foreign descent shapes natives' attitudes and behavior toward that group. Using individualized donations data, we show that long-term exposure to a given foreign ancestry leads to more generous behavior specifically toward that group's ancestral country. Focusing on exposure to Arab-Muslims to examine mechanisms, we show that long-term exposure: i) decreases explicit and implicit prejudice against Arab-Muslims, ii) reduces support for policies and political candidates hostile toward Arab-Muslims, iii) increases charitable donations to Arab countries, iv) leads to more personal contact with Arab-Muslims, and v) increases knowledge of Arab-Muslims and Islam.

Funding Sources: Alfred P. Sloan Foundation; European Research Council (337272); European Research Council (884847)

Scope of Project

Subject Terms: contact; attitudes; immigration; prejudice

JEL Classification:
      D83 Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
      D91 Micro-Based Behavioral Economics: Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
      J15 Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
      P16 Capitalist Systems: Political Economy

Geographic Coverage: United States

Time Period(s): 1880 – 2021

Collection Date(s): 2020 – 2021

Universe: All counties in the US

Data Type(s): aggregate data; census/enumeration data; geographic information system (GIS) data; observational data; survey data; text

Methodology

Collection Mode(s): web-based survey

Unit(s) of Observation: County and quarter, individual, country

Geographic Unit: County

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Published Versions

V1 [2024-01-18]

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