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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.

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Journal ArticleDOI

When Issue Salience Affects Adjudication: Evidence from Swiss Asylum Appeal Decisions

TL;DR: This paper found that higher asylum saliency leads judges to decide otherwise similar asylum appeals less favorably, and this effect is not restricted to judges affiliated with anti-immigrant parties, unlikely to be driven by accountability pressures, and strongest for those topics known to drive anti-immigration sentiment in the general public.
Journal ArticleDOI

The role of contextual factors in the electoral resurgence of extreme right-wing forces in Spain: The case of Andalusia

TL;DR: In this paper, the role played by contextual factors (i.e., outgroup size, territorial concentration of the immigrant population, demographic change in settlement locations, aggregated educational level and unemployment rate among the receiving society) in the rise in the number of VOX voters was analyzed.
Book ChapterDOI

SB 1070: Testing the “Frustration” Hypothesis

TL;DR: The first state law to directly challenge the federal government's claim of plenary power over enforcement of its immigration law, Arizona's Support Our Law Enforcement and Safe Neighborhoods Act, popularly known as SB 1070 as mentioned in this paper, was the first law that directly challenged the federal authorities' claim of power over enforcing its immigration laws.
Dissertation

Proximity, Politics and Policy Attitudes in the North American Context

TL;DR: In this paper, the authors make the argument that spatial proximity to geographic features act as an indirect measure of intergroup contact, localized knowledge, issue awareness, and issue salience.
Journal ArticleDOI

Who's Welcome and Who's Not? Opposition towards Immigration in the Nordic Countries, 2002–2014

TL;DR: In this article, the authors demonstrate the analytical advantages of studying not only the degree to which people oppose immigration in a country, but also the character of their opposition using Latent Class A.
References
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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.
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