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Research regarding the electoral importance of race and ethnicity in congressional elections is limited by the overwhelming focus on general-election outcomes. This article seeks to extend this research by examining minority candidate emergence and electoral competition in U.S. House primary elections, using a new data set on all U.S. House contests between 1994 and 2004 that includes demographic information on all the candidates in the primary elections. The results indicate that district-level race and ethnicity are associated with minority candidate emergence; furthermore, the presence of minority candidates influences electoral competitiveness in primary elections. Adapted from the source document.

Research regarding the electoral importance of race and ethnicity in congressional elections is limited by the overwhelming focus on general-election outcomes. This article seeks to extend this research by examining minority candidate emergence and electoral competition in U.S. House primary elections, using a new data set on all U.S. House contests between 1994 and 2004 that includes demographic information on all the candidates in the primary elections. The results indicate that district-level race and ethnicity are associated with minority candidate emergence; furthermore, the presence of minority candidates influences electoral competitiveness in primary elections.

Compares influence of race and ethnicity on voting behavior on state ballot initiatives that are racially relevant and non-racially relevant; data from 1996 and 1998 Voter News Service state exit poll surveys and the US Census Bureau.

AbstractDoes the racial and ethnic diversity of the area in which a voter lives affect his or her political behavior? Scholars have suggested a range of such effects, but these conclusions have questionable generalizability because the behavior they typically examine is racially charged. In this article, I test more general affects of racial and ethnic context by examining political behavior on a range of issues, both racially relevant and racially neutral. Specifically, I examine the impact of the racial and ethnic context on individual-level voting by whites in initiative elections. Merging 1996 and 1998 Voter News Service state exit poll survey data and United States Census Bureau contextual data, I find that there is a distinct relationship between racial and ethnic diversity and white voting behavior on racially relevant ballot initiatives, but that racial diversity does not have a consistent impact on voting on race-neutral initiatives.

When compared to studies of media effects, relatively few studies of the media focus on factors that influence the behavior of media organizations. Specifically, there are few empirical studies of the attributes and incentives of news organizations that might lead to slanted coverage of particular policy issues. In this study, we identify factors that lead to negatively slanted coverage of a specific policy issue: immigration. Using content analysis, geographic information systems (GIS) data, and contextual data, we find that newspaper ownership and proximity to the U.S.–Mexico border are related to slant in news articles and opinion pieces regarding immigration.

This article examines how geographic proximity to the U.S.-Mexico border influences newspaper coverage of immigration issues. The authors investigate two questions: Do media organizations spatially proximate to the border offer more frequent coverage of Latino immigration than media organizations farther removed from the border? Do media organizations spatially proximate to the border offer more frequent coverage of the negative aspects of immigration than media organizations farther removed from the border? We find that news organizations closer to the border generate a higher volume of articles about Latino immigration, articles featuring the negative aspects of immigration, and articles regarding illegal immigration. Adapted from the source document.

This article examines how geographic proximity to the U.S.—Mexico border influences newspaper coverage of immigration issues. The authors investigate two questions: Do media organizations spatially proximate to the border offer more frequent coverage of Latino immigration than media organizations farther removed from the border? Do media organizations spatially proximate to the border offer more frequent coverage of the negative aspects of immigration than media organizations farther removed from the border? We find that news organizations closer to the border generate a higher volume of articles about Latino immigration, articles featuring the negative aspects of immigration, and articles regarding illegal immigration.

Social science research notes that racial context is related to attitudes toward social issues; however, surprisingly little research has examined how the impact of racial context on attitudes is activated. The aim of this article is to examine racial context "effects" for policy preferences, but to do so within a broader perspective. This article extends the literature on racial attitudes by considering a conditional relationship between racial and ethnic context and socioeconomic context and expanding racial context to include multiple racial and ethnic groups. The findings indicate that racial and ethnic contextual effects do emerge; however, these effects are conditional on the socioeconomic context in which an individual resides. Specifically, high socioeconomic contexts and highly diverse contexts are related to higher levels of support for racial social issues; however, contexts characterized by low socioeconomic context and high racial and ethnic diversity are associated with lower levels of support for such issues.

AbstractSince 1990, the standard statistical approach for studying state policy adoption has been an event history analysis using binary link models, such as logit or probit. In this article, we evaluate this logit-probit approach and consider some alternative strategies for state policy adoption research. In particular, we discuss the Cox model, which avoids the need to parameterize the baseline hazard function and, therefore, is often preferable to the logit-probit approach. Furthermore, we demonstrate how the Cox model can be modified to deal effectively with repeatable and competing events, events that the logit-probit approach cannot be used to model.

Since 1990, the standard statistical approach for studying state policy adoption has been an event history analysis using binary link models, such as logit or probit. In this article, we evaluate this logit-probit approach & consider some alternative strategies for state policy adoption research. In particular, we discuss the Cox model, which avoids the need to parameterize the baseline hazard function &, therefore, is often preferable to the logit-probit approach. Furthermore, we demonstrate how the Cox model can be modified to deal effectively with repeatable & competing events, events that the logit-probit approach cannot be used to model. Tables, Figures, References. Adapted from the source document.