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

Catalyst of hate? Ethnic insulting on YouTube in the aftermath of terror attacks in France, Germany and the United Kingdom 2014–2017

TL;DR: In this paper , the authors examine the impact of such terror attacks on hostile behavior on social media from a cross-national perspective, and find that hate speech is mainly driven by changes in the composition of users and not by changing behaviour of individual users.

Predicting Positive Attitudes toward Immigrants with Altruism

TL;DR: This paper examined the relationship between attitudes towards immigration and several Big Five personality traits, focusing on Altruism, and found that personality traits are crucial determinants of attitudes toward immigrants, even in the face of an array of controls for political predispositions and socio-demographic characteristics.
Book ChapterDOI

Introduction: Local Governments and Immigration

TL;DR: Filomeno as mentioned in this paper proposes a relational approach to the study of local immigration policy, which can explain the emergence, variation and effects of localimmigration policy in a context of globalization.
Journal ArticleDOI

Residential Constraints and the Political Geography of the Populist Radical Right: Evidence from France

TL;DR: In this article, a theory of residential constraints is proposed to explain variation in populist radical right (PRR) support within Western democracies, specifically, why contemporary PRR support often and increasingly stronger in areas seemingly detached from the effects of globalization, transnationalism, or immigration, the key issues these parties emphasize.
Journal ArticleDOI

Exploring the Relationship Between Housing Downturns and Partisan Elections: Neighborhood-Level Evidence from Maricopa County, Arizona:

TL;DR: This article found that partisan shifts may occur in neighborhoods with concentrated foreclosures in the aftershocks of a foreclosure crisis, and that such shifts may affect partisan election outcomes in the US.
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)