scispace - formally typeset
Journal ArticleDOI

Politicized Places: Explaining Where and When Immigrants Provoke Local Opposition

Daniel J. Hopkins
- 01 Feb 2010 - 
- Vol. 104, Iss: 01, pp 40-60
TLDR
This article developed the politicized places hypothesis, an alternative that focuses on how national and local conditions interact to construe immigrants as threatening, and tested the hypothesis using new data on local anti-immigrant policies.
Abstract
In ethnic and racial terms, America is growing rapidly more diverse. Yet attempts to extend racial threat hypotheses to today's immigrants have generated inconsistent results. This article develops the politicized places hypothesis, an alternative that focuses on how national and local conditions interact to construe immigrants as threatening. Hostile political reactions to neighboring immigrants are most likely when communities undergo sudden influxes of immigrants and when salient national rhetoric reinforces the threat. Data from several sources, including twelve geocoded surveys from 1992 to 2009, provide consistent support for this approach. Time-series cross-sectional and panel data allow the analysis to exploit exogenous shifts in salient national issues such as the September 11 attacks, reducing the problem of residential self-selection and other threats to validity. The article also tests the hypothesis using new data on local anti-immigrant policies. By highlighting the interaction of local and national conditions, the politicized places hypothesis can explain both individual attitudes and local political outcomes.

read more

Citations
More filters
Journal ArticleDOI

The treatment works: Revisiting a key link in contextual theories of political behavior:

TL;DR: The use of self-reported contextual factors is prominent in political science as discussed by the authors, and while recent research demonstrates that perceptions of contextual factors positively associate with census measured fa......

Explaining Metropolitan Political Polarization: Political Segregation in New York City, Chicago, and Los Angeles

TL;DR: The authors explored municipal-level political segregation in the Chicago, Los Angeles, and New York City metropolitan areas using precinct-level returns from the 2000 presidential election, and compared political spatial clustering in America's three largest metropolises using both Moran's I values and spatial lag models.
Journal ArticleDOI

Racial proximity and campaign contributing

TL;DR: In this paper, the authors examined whether elevated participation in the form of campaign contributions is also visible in areas of mixed settlement, and which party, if any, this activism has come to favor.
Journal ArticleDOI

Subnational Activism for Immigration Reform: Arizona and SB 1070

Jai Sang Sun
- 01 Jun 2015 - 
TL;DR: This article employed a mixed methodological approach, triangulating the findings of a multivariable regression analysis that tests the degree of influence of social, economic, demographic, political and safety factors.
References
More filters
Book ChapterDOI

Prospect theory: an analysis of decision under risk

TL;DR: In this paper, the authors present a critique of expected utility theory as a descriptive model of decision making under risk, and develop an alternative model, called prospect theory, in which value is assigned to gains and losses rather than to final assets and in which probabilities are replaced by decision weights.
Book

Data Analysis Using Regression and Multilevel/Hierarchical Models

TL;DR: Data Analysis Using Regression and Multilevel/Hierarchical Models is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models.
Posted Content

Mostly Harmless Econometrics: An Empiricist's Companion

TL;DR: The core methods in today's econometric toolkit are linear regression for statistical control, instrumental variables methods for the analysis of natural experiments, and differences-in-differences methods that exploit policy changes.
Book

Analysis of Incomplete Multivariate Data

TL;DR: The Normal Model Methods for Categorical Data Loglinear Models Methods for Mixed Data and Inference by Data Augmentation Methods for Normal Data provide insights into the construction of categorical and mixed data models.
Related Papers (5)