Constituents’ economic interests and senator support for spending limitations

Peltzman [Peltzman, S., 1984. Constituent interest and congressional voting. Journal of Law and Economics 27, 181–210] argues that if constituents’ economic interests have well-defined “winners and losers” and are appropriately measured, then constituents’ economic interests, and not legislator ideology, are the most important determinates of legislator voting. We test Peltzman's theory by examining senatorial voting on three mandated spending limitation bills. We find, consistent with Peltzman's theory, that the ratio of federal spending in a senator's state to federal taxes paid by that state, and not a senator's personal ideology, matters on legislation where there are well-defined economic “winners and losers.” This is particularly important because unlike other constituents’ economic interest measures that only impact a fraction of the constituency, the ratio of federal spending to federal taxes in a state represents the economic interests of all the constituents in a state.     

The Continuing Significance of Race in the Occupational Attainment of Whites and Blacks: A Segmented Labor Market Analysis*

In this article we posit that racial discrimination is not uniform across the U.S. labor market. While it is likely that patterns of racial discrimination occur in some types of jobs more than others, little empirical research has examined the effect of race across segmented labor markets. Incorporating two decades of comparable General Social Survey data, this article revisits William J. Wilson's hypothesis that the significance of race in determining labor market outcomes is declining. We examine the effect of race within two dissimilar labor segments over time, dividing the labor market into technique‐versus social‐skills‐oriented segments. Using this theoretically useful dichotomy, we examine if the net effect of race (African American and white men) on occupational prestige has declined from the 1970s to the 1990s. Our multivariate analysis shows that the net effect of race is different in each labor market. This suggests that racial discrimination against African Americans is not uniform across the entire labor market, but instead is differentiately manifested within various labor market segments. Overall, our findings partially support Wilson's thesis indicating that while the effect of race is no longer a significant indicator of occupational prestige by the 1990s in a technique‐oriented job segment, it remains a significant predictive variable within a social‐skills‐oriented job segment, even when controlling for a range of social class and structural variables.     

Financial manager's perception of rural household Economie Well-Being: Development and testing of a composite measure

An index of Perceived Economic Well-Being is constructed using factor analysis and tested for reliability and validity. The index is composed of (a) perceived income adequacy, and satisfaction with (b) current total household income, (c) amount of money your family is able to save, (d) amount of current debt, (e) level of consumption, (f) amount of household net worth, and (g) resources available to meet a financial emergency. The index is used in regression analysis. Results show that financial managers perceive economic well-being more favorably if they are more satisfied with resources and with the current level of living, view the present financial situation as better compared to 5 years ago, save on a regular basis for goal(s), and have a higher income. Financial managers who report more frequent financial problems, worry more about where money would come from to pay bills, and more frequently make only minimum payments on charge accounts perceive economic well-being less favorably.Preparation of this research was supported in part by the Illinois Agricultural Experiment Station. Data were collected in conjunction with the cooperative regional research project NC-182, Family Resource Utilization as a Factor in Determining Economic Well-Being of Rural Families. Cooperating states are Arizona, California, Illinois, Indiana, Iowa, Kansas, Michigan, and Minnesota.He received his Ph.D. from the University of Illinois in 1991 with Dr. Fitzsimmons as advisor. His current research interest is economic well-being.She received her Ph.D. from the University of Illinois; her current research interests include gender roles, family financial management, and economic well-being.     

Colourism and African–american wealth: evidence from the nineteenth-century south

Black is not always black. Subtle distinctions in skin tone translate into significant differences in outcomes. Data on more than 15,000 households interviewed during the 1860 US federal census exhibit sharp differences in wealth holdings between white, mulatto, and black households in the urban South. We document these differences, investigate relationships between wealth and recorded household characteristics, and decompose the wealth gaps to examine the returns to racial characteristics. The analysis reveals a distinct racial hierarchy. Black wealth was only 20% of white wealth, but mulattoes held nearly 50% of whites’ wealth. This advantage is consistent with colourism, the favouritism shown to those of lighter complexion.

Gay and lesbian partnership: Evidence from California

Much recent research on sexual minorities has used couples-based samples, which--by construction--provide no information on nonpartnered individuals. We present the first systematic empirical analysis of partnership and cohabitation among self-identified gay men and lesbians using two independent, large, population-wwbased data sources from California. These data indicate that 37%-46% of gay men and 51%-62% of lesbians aged 18-59 are in cohabiting partnerships (compared with 62% of heterosexual individuals in coresidential unions at comparable ages). Unlike previous research, we find that white and highly educated gay men and lesbians are more likely to be partnered, and we confirm that same-sex cohabiting partners in our data have demographic characteristics that are similar to California same-sex couples from Census 2000. We also present the first detailed analysis of officially registered domestic partnerships in California. We find that almost half of partnered lesbians are officially registered with the local or state government, while less than a quarter of partnered gay men are officially registered. We conclude with implications of our findings for couples-based research on gay men and lesbians, as well as recommendations for survey data collection.     

Coloring vertices of claw-free graphs in three colors

We study the computational complexity of the vertex 3-colorability problem in the class of claw-free graphs. Both the problem and the class received much attention in the literature, separately of each other. However, very little is known about the 3-colorability problem restricted to the class of claw-free graphs beyond the fact the problem is NP-complete under this restriction. In this paper we first strengthen this negative fact by revealing various further restrictions under which the problem remains NP-complete. Then we derive a number of positive results that deal with polynomially solvable cases of the problem in the class of claw-free graphs.     

A Tiered Framework for Risk‐Relevant Characterization and Ranking of Chemical Exposures: Applications to the National Children's Study (NCS)

A challenge for large‐scale environmental health investigations such as the National Children's Study (NCS), is characterizing exposures to multiple, co‐occurring chemical agents with varying spatiotemporal concentrations and consequences modulated by biochemical, physiological, behavioral, socioeconomic, and environmental factors. Such investigations can benefit from systematic retrieval, analysis, and integration of diverse extant information on both contaminant patterns and exposure‐relevant factors. This requires development, evaluation, and deployment of informatics methods that support flexible access and analysis of multiattribute data across multiple spatiotemporal scales. A new “Tiered Exposure Ranking” (TiER) framework, developed to support various aspects of risk‐relevant exposure characterization, is described here, with examples demonstrating its application to the NCS. TiER utilizes advances in informatics computational methods, extant database content and availability, and integrative environmental/exposure/biological modeling to support both “discovery‐driven” and “hypothesis‐driven” analyses. “Tier 1” applications focus on “exposomic” pattern recognition for extracting information from multidimensional data sets, whereas second and higher tier applications utilize mechanistic models to develop risk‐relevant exposure metrics for populations and individuals. In this article, “tier 1” applications of TiER explore identification of potentially causative associations among risk factors, for prioritizing further studies, by considering publicly available demographic/socioeconomic, behavioral, and environmental data in relation to two health endpoints (preterm birth and low birth weight). A “tier 2” application develops estimates of pollutant mixture inhalation exposure indices for NCS counties, formulated to support risk characterization for these endpoints. Applications of TiER demonstrate the feasibility of developing risk‐relevant exposure characterizations for pollutants using extant environmental and demographic/socioeconomic data.     

A Dynamic Model of Demand for Houses and Neighborhoods

This paper develops a dynamic model of neighborhood choice along with a computationally light multi‐step estimator. The proposed empirical framework captures observed and unobserved preference heterogeneity across households and locations in a flexible way. We estimate the model using a newly assembled data set that matches demographic information from mortgage applications to the universe of housing transactions in the San Francisco Bay Area from 1994 to 2004. The results provide the first estimates of the marginal willingness to pay for several non‐marketed amenities—neighborhood air pollution, violent crime, and racial composition—in a dynamic framework. Comparing these estimates with those from a static version of the model highlights several important biases that arise when dynamic considerations are ignored.