The State of Indian Exorcism: Violence and Racial Formation in Eastern Brazil

As in various parts of the Western Hemisphere, the indigenous population of eastern Brazil has increased rapidly in recent decades. Based on over fifty in-depth interviews that I conducted with eastern Indians and the twelve months I spent living in their households and communities between 1994 and 1997, I discovered that much of this demographic phenomenon has been fueled by increasing numbers of individuals self-identifying as Indian who had not always identified as such or their parents had not identified as Indian. A number of lay people and scholars have argued that this shift in the direction of racial formation has been driven by state induced material incentives. Yet my ethnographic data, which I detail in great depth in this article, suggests that in terms of the material factors responsible for Indian resurgence that the state's sticks have been a much more significant variable than the state's racializing carrots. In other words, I found that the fundamental change in state practices in eastern Brazil has been in the drastic reduction of the costs of being Indian. Thus I posit and demonstrate how one of the primary variables behind this demographic shift has been the reduction of state led and sanctioned anti-Indian violence in eastern Brazil.     

Integrating risk assessment and life cycle assessment: a case study of insulation.

Increasing residential insulation can decrease energy consumption and provide public health benefits, given changes in emissions from fuel combustion, but also has cost implications and ancillary risks and benefits. Risk assessment or life cycle assessment can be used to calculate the net impacts and determine whether more stringent energy codes or other conservation policies would be warranted, but few analyses have combined the critical elements of both methodologies In this article, we present the first portion of a combined analysis, with the goal of estimating the net public health impacts of increasing residential insulation for new housing from current practice to the latest International Energy Conservation Code (IECC 2000). We model state-by-state residential energy savings and evaluate particulate matter less than 2.5 microm in diameter (PM2.5), NOx, and SO2 emission reductions. We use past dispersion modeling results to estimate reductions in exposure, and we apply concentration-response functions for premature mortality and selected morbidity outcomes using current epidemiological knowledge of effects of PM2.5 (primary and secondary). We find that an insulation policy shift would save 3 x 10(14) British thermal units or BTU (3 x 10(17) J) over a 10-year period, resulting in reduced emissions of 1,000 tons of PM2.5, 30,000 tons of NOx, and 40,000 tons of SO2. These emission reductions yield an estimated 60 fewer fatalities during this period, with the geographic distribution of health benefits differing from the distribution of energy savings because of differences in energy sources, population patterns, and meteorology. We discuss the methodology to be used to integrate life cycle calculations, which can ultimately yield estimates that can be compared with costs to determine the influence of external costs on benefit-cost calculations.     

Divergent Trends in the Effects of Early Life Factors on Adult Health

Population Research and Policy Review - Life course theories have shaped social and health scientists’ understanding of the origins and pathways of health, aging, and mortality. However, few...     

IDENTIFYING THE EFFECTS OF MONETARY POLICY SHOCKS ON EXCHANGE RATES USING HIGH FREQUENCY DATA

This paper proposes a new approach to identifying the effects of monetary policy shocks in an international vector autoregression. Using high‐frequency data on the prices of Fed Funds futures contracts, we measure the impact of the surprise component of the FOMC‐day Federal Reserve policy decision on financial variables, such as the exchange rate and the foreign interest rate. We show how this information can be used to achieve identification without having to make the usual strong assumption of a recursive ordering. (JEL: C32, E52, F30)     

The Experience of Learning EFT in Spanish-speaking Countries: A Multi-National Replication Study

This study is a multi-national follow-up to the original (Sandberg and Knestel (2011) Journal of Marital and Family Therapy, 37, 393–410) article on the process of learning Emotionally Focused Couples Therapy (EFT). A total of 102 clinicians from nine Spanish-speaking countries (Mexico, Costa Rica, Guatemala, Spain, Colombia, Argentina, Chile, Ecuador, and El Salvador) participated in the study. A comparison of results across the two studies revealed more similarities than differences. However, a few notable differences emerged from responses to qualitative questions, namely a heightened sense of appreciation for and resonance with the focus on core emotion in EFT and less frequent reports of difficulty learning and adapting to the model among Spanish-speaking therapists. These differences were consistent with common cultural values and forms of expression in Latin America and Spain. Results are discussed in terms of training, supervision, and future research as well.     

Family Structure and Child Well-Being in a Non-western Context: The Role of Parent–Child Relations and Parental Conflict in South Korea

Population Research and Policy Review - Research suggests that children who live with two biological married parents are less likely to exhibit behavioral problems than children who do not. While...     

p-Values,Bayes Factors,and Sufficiency

ABSTRACT

Various approaches can be used to construct a model from a null distribution and a test statistic. I prove that one such approach, originating with D. R. Cox, has the property that the p-value is never greater than the Generalized Likelihood Ratio (GLR). When combined with the general result that the GLR is never greater than any Bayes factor, we conclude that, under Cox’s model, the p-value is never greater than any Bayes factor. I also provide a generalization, illustrations for the canonical Normal model, and an alternative approach based on sufficiency. This result is relevant for the ongoing discussion about the evidential value of small p-values, and the movement among statisticians to “redefine statistical significance.”     

Identification of average marginal effects under misspecification when covariates are normal

A previously known result in the econometrics literature is that when covariates of an underlying data generating process are jointly normally distributed, estimates from a nonlinear model that is misspecified as linear can be interpreted as average marginal effects. This has been shown for models with exogenous covariates and separability between covariates and errors. In this paper, we extend this identification result to a variety of more general cases, in particular for combinations of separable and nonseparable models under both exogeneity and endogeneity. So long as the underlying model belongs to one of these large classes of data generating processes, our results show that nothing else must be known about the true DGP—beyond normality of observable data, a testable assumption—in order for linear estimators to be interpretable as average marginal effects. We use simulation to explore the performance of these estimators using a misspecified linear model and show they perform well when the data are normal but can perform poorly when this is not the case.     

WHEN SHOULD DRIVERS BE ENCOURAGED TO CARPOOL IN HOV LANES?

Policies to encourage carpooling in high‐occupancy vehicle (HOV) lanes have been adopted in the United States to lower congestion and reduce air pollution. We analytically model highway congestion and other vehicle‐related externalities. Encouraging carpooling decreases total costs when congestion relief in mainline lanes outweighs increased HOV lane congestion. Importantly, entry of new drivers via induced demand can negate the benefits of increased carpooling. Using 10 years of traffic data from Los Angeles we estimate time and route‐specific marginal external costs. Because costs vary substantially across routes, hours, and days, current policies to promote carpooling will often increase social costs. (JEL R41, R48, Q53)     

Understanding How Peer Mentoring and Capitalization Link STEM Students to Their Majors

This study investigated the role of peer mentoring and voluntary self‐development activities (i.e., capitalization) in anchoring science, technology, engineering, and mathematics students to their college majors. Online data were collected from 214 undergraduate students. As hypothesized, mentoring was positively related to capitalization, and both mentoring and capitalization were positively related to satisfaction with one's major, affective commitment to one's major, involvement in one's major, and willingness to be a mentor. Contrary to expectations, capitalization did not mediate the relationship between peer mentoring and student outcomes, suggesting that these constructs contribute independently to positive outcomes. Implications and future research directions are discussed.