Quality competition, Pricing-To-Market and Non-Tariff measures: A Unified Framework For the Analysis of Bilateral Unit Values

This paper presents a unified framework for analyzing several factors that have been independently studied as determinants of unit values in international trade: product differentiation by quality (which suggests that unit values should be positively correlated with exporters' per capita income), pricing-to-market (which suggests they should be positively correlated with importers' per capita income), and non-tariff measures (which suggests that remaining residuals may contain evidence of trade barriers). On a large sample of bilateral unit values for 2005, we find that about 58 percent of all HS-6 products demonstrate both significant quality-ladder effects and pricing-to-market effects, with quality-ladder effects predominating in importance. Distance-related effects appearing directly in prices appear significantly larger than one would expect as a result of shipping margins. We also rank importers by the remaining unexplained variation in import prices, and examine whether these variations are plausibly related to non-tariff measures.

Interdisciplinary approach to the demography of Jamaica

<p>Background: The trans-Atlantic slave trade dramatically changed the demographic makeup of the New World, with varying regions of the African coast exploited differently over roughly a 400 year period. When compared to the discrete mitochondrial haplotype distribution of historically appropriate source populations, the unique distribution within a specific source population can prove insightful in estimating the contribution of each population. Here, we analyzed the first hypervariable region of mitochondrial DNA in a sample from the Caribbean island of Jamaica and compared it to aggregated populations in Africa divided according to historiographically defined segments of the continent's coastline. The results from these admixture procedures were then compared to the wealth of historic knowledge surrounding the disembarkation of Africans on the island.</p> <p>Results: In line with previous findings, the matriline of Jamaica is almost entirely of West African descent. Results from the admixture analyses suggest modern Jamaicans share a closer affinity with groups from the Gold Coast and Bight of Benin despite high mortality, low fecundity, and waning regional importation. The slaves from the Bight of Biafra and West-central Africa were imported in great numbers; however, the results suggest a deficit in expected maternal contribution from those regions.</p> <p>Conclusions: When considering the demographic pressures imposed by chattel slavery on Jamaica during the slave era, the results seem incongruous. Ethnolinguistic and ethnographic evidence, however, may explain the apparent non-random levels of genetic perseverance. The application of genetics may prove useful in answering difficult demographic questions left by historically voiceless groups.</p&gt

Predictors of depression, stress, and anxiety among non-tenure track faculty

Nationwide in the United States, 70% of faculty members in higher education are employed off the tenure-track. Nearly all of these non-tenure-track (NTT) appointments share a quality that may produce stress for those who hold them: contingency. Most NTT appointments are contingent on budget, enrollment, or both, and the majority of contingent faculty members are hired for one quarter or semester at a time. Significant research has investigated the effects of contingency on teaching, students, departments, colleges, and universities; however, little research has focused on the psychological experiences of NTT faculty. The current study examined perceptions of workplace stressors and harm, organizational commitment, common coping mechanisms, and depression, anxiety and stress among NTT faculty using a longitudinal design that spanned two to four months. Results indicate that NTT faculty perceive unique stressors at work that are related to their contingent positions. Specific demographic characteristics and coping strategies, inability to find a permanent faculty position, and commitment to one’s organization predispose NTT faculty to perceive greater harm and more sources of stress in their workplaces. Demographic characteristics, lower income, inability to find a permanent faculty position, disengagement coping mechanisms (e.g., giving up, denial), and organizational commitment were associated with the potential for negative outcomes, particularly depression, anxiety, and stress. Our findings suggest possibilities for institutional intervention. Overall, we argue that universities would be well-served by attending to the needs of NTT faculty on campus in order to mitigate negative outcomes for institutions, students, and faculty

African Immigrant Women in the United States: Perceptions on Female Circumcision and Policies that Outlaw the Practice

Harmful traditional practice, such as female circumcision (FC) performed on children causes minimal to severe health problems. FC violates the human and medical informed consent rights of female children. African immigrants from communities that practice FC are required to comply with policies that outlaw FC. The purpose of this study is twofold: 1) to gain an understanding of African immigrant women‟s views on FC and policies that outlaw the practice, and 2) to provide new insights and identify effective strategies for improving compliance with anti-FC laws. A phenomenological approach was deployed to gain an understanding of African immigrant women‟s perceptions of FC and policies that outlaw it. The results indicate that the participants want to eradicate FC; yet some of them vacillate between eradication of FC and participation in the practice

Political Factors and Enforcement of the Nursing Home Regulatory Regime

This study analyzes the influence of political factors, oversight, and nursing home affiliation or ownership status on the enforcement of the nursing home regulatory regime, signified by the Nursing Home Reform Act ( NHRA ) and its progeny. Specifically speaking, it measures, using the statistical technique of regression analysis, factors that account for variations across states in the number of deficiencies (or violations of quality standards) cited by nursing home inspectors across the states. This work is a first of its kind, an analysis not government-related, by a set of public administration scholars that systematically studies the influence of political forces on nursing home regulations and inspection and their ultimate effect on the well-being of nursing home patients

Political Factors and Enforcement of the Nursing Home Regulatory Regime

This study analyzes the influence of political factors, oversight, and nursing home affiliation or ownership status on the enforcement of the nursing home regulatory regime, signified by the Nursing Home Reform Act ( NHRA ) and its progeny. Specifically speaking, it measures, using the statistical technique of regression analysis, factors that account for variations across states in the number of deficiencies (or violations of quality standards) cited by nursing home inspectors across the states. This work is a first of its kind, an analysis not government-related, by a set of public administration scholars that systematically studies the influence of political forces on nursing home regulations and inspection and their ultimate effect on the well-being of nursing home patients

The nitty gritty of South Carolina soil orders

Detailed information on soil orders of South Carolina is available but not in a digestible format for various state stakeholders. The goal of this first-semester Creative Inquiry is to develop stakeholder appropriate tools regarding general soil characteristics of South Carolina. A poster and interactive Web map depicting and explaining the soil orders of South Carolina are the first tools produced. Both the poster and Web map are targeted for K-12 teachers as teaching aids and will accompany a lesson plan for meeting school standards. The Web map will also be available for the public to use in exploring the soil orders of South Carolina. By the end of the first semester, students will determine complete lesson plans and present a lesson to two 7th grade science classes, and will identify at what classification level will soil attributes be used to integrate in to the interactive Web map

Can we really pick and choose? Benchmarking various selections of Gaia Enceladus/Sausage stars in observations with simulations

Large spectroscopic surveys plus Gaia astrometry have shown us that the inner stellar halo of the Galaxy is dominated by the debris of Gaia Enceladus/Sausage (GES). With the richness of data at hand, there are a myriad of ways these accreted stars have been selected. We investigate these GES selections and their effects on the inferred progenitor properties using data constructed from APOGEE and Gaia. We explore selections made in eccentricity, energy-angular momentum (E-Lz), radial action-angular momentum (Jr-Lz), action diamond, and [Mg/Mn]-[Al/Fe] in the observations, selecting between 144 and 1279 GES stars with varying contamination from in-situ and other accreted stars. We also use the Auriga cosmological hydrodynamic simulations to benchmark the different GES dynamical selections. Applying the same observational GES cuts to nine Auriga galaxies with a GES, we find that the Jr-Lz method is best for sample purity and the eccentricity method for completeness. Given the average metallicity of GES (−1.28 < [Fe/H] < −1.18), we use the z = 0 mass–metallicity relationship to find an average of ∼4 × 108 M⊙. We adopt a similar procedure and derive for the GES-like systems in Auriga and find that the eccentricity method overestimates the true by ∼2.6 × while E-Lz underestimates by ∼0.7 ×. Lastly, we estimate the total mass of GES to be using the relationship between the metallicity gradient and the GES-to-in-situ energy ratio. In the end, we cannot just ‘pick and choose’ how we select GES stars, and instead should be motivated by the science question

Can we really pick and choose? Benchmarking various selections of Gaia Enceladus/Sausage stars in observations with simulations

Large spectroscopic surveys plus Gaia astrometry have shown us that the inner stellar halo of the Galaxy is dominated by the debris of Gaia Enceladus/Sausage (GES). With the richness of data at hand, there are a myriad of ways these accreted stars have been selected. We investigate these GES selections and their effects on the inferred progenitor properties using data constructed from APOGEE and Gaia. We explore selections made in eccentricity, energy-angular momentum (E-Lz), radial action-angular momentum (Jr-Lz), action diamond, and [Mg/Mn]-[Al/Fe] in the observations, selecting between 144 and 1,279 GES stars with varying contamination from in-situ and other accreted stars. We also use the Auriga cosmological hydrodynamic simulations to benchmark the different GES dynamical selections. Applying the same observational GES cuts to nine Auriga galaxies with a GES, we find that the Jr-Lz method is best for sample purity and the eccentricity method for completeness. Given the average metallicity of GES (-1.28 < [Fe/H] < -1.18), we use the $z=0$ mass-metallicity relationship to find an average $\rm M_{\star}$ of $\sim 4 \times 10^{8}$ $\rm M_{\odot}$. We adopt a similar procedure and derive $\rm M_{\star}$ for the GES-like systems in Auriga and find that the eccentricity method overestimates the true $\rm M_{\star}$ by $\sim2.6\times$ while E-Lz underestimates by $\sim0.7\times$. Lastly, we estimate the total mass of GES to be $\rm 10^{10.5 - 11.1}~M_{\odot}$ using the relationship between the metallicity gradient and the GES-to-in-situ energy ratio. In the end, we cannot just `pick and choose' how we select GES stars, and instead should be motivated by the science question.Comment: 20 pages, 14 figures, submitted to MNRA

The effects of dynamical substructure on Milky Way mass estimates from the high velocity tail of the local stellar halo

We investigate the impact of dynamical streams and substructure on estimates of the local escape speed and total mass of Milky Way-mass galaxies from modelling the high velocity tail of local halo stars. We use a suite of high-resolution, magneto-hydrodynamical cosmological zoom-in simulations, which resolve phase space substructure in local volumes around solar-like positions. We show that phase space structure varies significantly between positions in individual galaxies and across the suite. Substructure populates the high velocity tail unevenly and leads to discrepancies in the mass estimates. We show that a combination of streams, sample noise and truncation of the high velocity tail below the escape speed leads to a distribution of mass estimates with a median that falls below the true value by $\sim 20 \%$, and a spread of a factor of 2 across the suite. Correcting for these biases, we derive a revised value for the Milky Way mass presented in Deason et al. of $1.29 ^{+0.37}_{-0.47} \times 10^{12}$ $\rm M_{\odot}$.Comment: Re-submitted to MNRAS Letters after minor revisio