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Immigration Opposition: Distinguishing Cultural Concerns From Labor Market Impact
Insights from the Field
Immigration Attitudes
Labor Market Competition
H-1B Visas
High-Tech Counties
Migration Citizenship
AJPS
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3 text files
3 other files
Dataverse
Economic Explanations for Opposition to Immigration: Distinguishing Between Prevalence and Conditional Impact was authored by Neil Malhotra, Yotam Margalit and Cecilia Hyunjung Mo. It was published by Wiley in AJPS in 2013.

# Economic Explanations for Immigration Opposition

While cultural factors consistently predict opposition to immigration, economic competition remains a contested explanation. This study examines Americans' attitudes toward H-1B visas—a specific pathway allowing Indian skilled workers into high-technology sectors.

## Targeted Sampling in High-Tech Counties

* We focused on counties with a significant concentration of high-technology firms ("high-tech counties")

* These areas represent regions where technological industries compete for specialized labor

Our innovative approach leverages these unique contexts to isolate the economic threat relevant to this specific immigration policy. By concentrating on H-1B visa holders, who are skilled but ethnically distinct from native-born workers in these sectors, we were able to pinpoint a genuine conditional impact.

## Conditional Impact of Economic Threat

Labor-market competition does* significantly predict opposition to specific immigrant groups under certain conditions

* This effect is observable when comparing attitudes within high-technology counties that rely heavily on H-1B visas versus other areas

However, this economic threat does not represent a general phenomenon across all labor markets and regions. Aggregate studies fail to capture it because they don't isolate the relevant context.

## Political Science Significance

* This nuanced understanding challenges conventional interpretations of immigration attitudes

* It demonstrates how targeted research designs can reveal insights obscured by standard aggregate analyses

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