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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

Understanding out-mobility and radical-right support as responses to differentiated refugee exposure

TL;DR: In this article , the authors study how asylum centers and refugees choosing their own residences prompt each of these two behavioral outcomes using register data for the whole of Sweden (2013-2018) and find that only increased radical-right support is observed following the establishment of a new asylum center, whereas greater native outmobility is found following refugees self-selecting into native-based areas.
Book ChapterDOI

Demographic Change, White Decline, and the Changing Nature of Racial Politics in Election Campaigns

TL;DR: The authors examines the history and literature, detailing the increasing significance of race and racism in American campaigns and elections, and argues that candidates of color will become more likely to run for office and hold a larger share of American political representation.

The Occupational Share of Foreigners and Attitudes to Equal Opportunities

TL;DR: This article examined the relationship between Swiss attitudes towards equal opportunities for foreigners and ethnic concentration at the occupational level using data from the Swiss Household Panel, ordered probit regressions with standard controls show that there is a negative association between the share of foreigners in one's occupation and positive attitudes to equal opportunities.
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.
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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.
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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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