163 research outputs found

    Religion, Religiosity and Educational Attainment of Immigrants to the USA

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    This paper quantifies the association between religions, religiosity and educational attainment of new lawful immigrants to the U.S. This paper considers a broad set of religions that includes most of the major religions of the world. Using data from the New Immigrant Survey (2003), we show that affiliation with religion is not necessarily associated with an increase in educational attainment. Muslim and “Other religion” immigrants have less education compared to the immigrants who are not affiliated with any religion. However, affiliation with the Jewish religion is associated with higher educational attainment for males. With regard to religiosity, our results show that high religiosity is associated with lower educational attainment, especially for females. We also outline alternative frameworks that provide insight about the mechanisms that link religion and religiosity with educational attainment.Immigration; Religion; Religiosity; Education

    Private Money as a Competing Medium of Exchange

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    Using a relatively mild restriction on the beliefs of the MMEU-apreference functional, in which the decision maker’s degree of ambiguity and degree of pessimism are each parameterized, we present a rather general theory of religious choice in the decision theory tradition, one that can resolve dilemmas, address the many Gods objection, and address the inherent ambiguity. Using comparative static analysis, we are able to show how changes in either the degree of ambiguity or the degree of pessimism can lead a decision maker to “convert” from one religion to another. We illustrate the theory of religious choice using an example where the decision maker perceives three possible religious alternatives.Private money; Speculative demand; Search theory; Medium of exchange

    Analyzing the impact of prenatal care on infant health: do we have useful input and output measures?

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    Recent work raises questions about the input and output measures typically used to estimate the impact of prenatal care on infant health: self-reported prenatal care may generate biased estimates of the impact of prenatal care on infant health, and birthweight may be a narrow measure of infant health that leads to underestimation of the impact of prenatal care on delivery outcomes. We link data from a prenatal care clinic, the associated hospital and the relevant birth certificate records to analyze these measurement issues. We conclude that low birthweight is not meaningful measure of infant health for the purpose of estimating the relation between prenatal care and delivery outcomes. In addition, the discrepancy between provider-reported and self-reported care is substantial, the correlation between these two measures is low, and the estimated relationship between prenatal care and infant health is not robust with respect to reliance on self-reported vs. provider-reported care.

    How Universal School Vouchers Affect Educational and Labor Market Outcomes: Evidence from Chile

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    This paper studies the effects of school vouchers in Chile, which adopted a nationwide school voucher program 28 years ago. Chile has a relatively unregulated, decentralized, competitive market in primary and secondary education and therefore provides a unique setting in which to study how voucher programs affect school choice as well as educational attainment and labor market outcomes. This paper develops and estimates a dynamic model of schooling and work decisions using data from the 2002 Historia Laboral y Seguridad Social and the 2004 Enquesta Proteccion Social (EPS) surveys. The dataset includes rich demographic information as well as contemporaneous and retrospective schooling and work information covering a thirty-five year time frame. Some individuals in the sample completed their schooling before the voucher program was introduced, while others had the option of using the vouchers over part or all of their schooling careers. The impacts of the voucher program are identified from the differences in the schooling and work choices made and wage returns received by individuals differentially exposed to the program. Simulations based on the estimated dynamic model indicate that the school voucher program induced individuals affected by the program to attend private subsidized schools at a higher rate, achieve higher educational attainment, receive higher wages and participate more in the labor force. Returns to both public and private education increased after the introduction of vouchers. An examination of distributional effects shows that the voucher program benefitted individuals from both poor and non-poor backgrounds, but that the non-poor experienced greater benefits

    Cooking practices, air quality, and the acceptability of advanced cookstoves in Haryana, India: an exploratory study to inform large-scale interventions.

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    BackgroundIn India, approximately 66% of households rely on dung or woody biomass as fuels for cooking. These fuels are burned under inefficient conditions, leading to household air pollution (HAP) and exposure to smoke containing toxic substances. Large-scale intervention efforts need to be informed by careful piloting to address multiple methodological and sociocultural issues. This exploratory study provides preliminary data for such an exercise from Palwal District, Haryana, India.MethodsTraditional cooking practices were assessed through semi-structured interviews in participating households. Philips and Oorja, two brands of commercially available advanced cookstoves with small blowers to improve combustion, were deployed in these households. Concentrations of particulate matter (PM) with a diameter <2.5 Όm (PM2.5) and carbon monoxide (CO) related to traditional stove use were measured using real-time and integrated personal, microenvironmental samplers for optimizing protocols to evaluate exposure reduction. Qualitative data on acceptability of advanced stoves and objective measures of stove usage were also collected.ResultsTwenty-eight of the thirty-two participating households had outdoor primary cooking spaces. Twenty households had liquefied petroleum gas (LPG) but preferred traditional stoves as the cost of LPG was higher and because meals cooked on traditional stoves were perceived to taste better. Kitchen area concentrations and kitchen personal concentrations assessed during cooking events were very high, with respective mean PM2.5 concentrations of 468 and 718 ”g/m3. Twenty-four hour outdoor concentrations averaged 400 ”g/m3. Twenty-four hour personal CO concentrations ranged between 0.82 and 5.27 ppm. The Philips stove was used more often and for more hours than the Oorja.ConclusionsThe high PM and CO concentrations reinforce the need for interventions that reduce HAP exposure in the aforementioned community. Of the two stoves tested, participants expressed satisfaction with the Philips brand as it met the local criteria for usability. Further understanding of how the introduction of an advanced stove influences patterns of household energy use is needed. The preliminary data provided here would be useful for designing feasibility and/or pilot studies aimed at intervention efforts locally and nationally

    Inner-View of Nanomaterial Incited Protein Conformational Changes: Insights into Designable Interaction.

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    Nanoparticle bioreactivity critically depends upon interaction between proteins and nanomaterials (NM). The formation of the "protein corona" (PC) is the effect of such nanoprotein interactions. PC has a wide usage in pharmaceuticals, drug delivery, medicine, and industrial biotechnology. Therefore, a detailed in-vitro, in-vivo, and in-silico understanding of nanoprotein interaction is fundamental and has a genuine contemporary appeal. NM surfaces can modify the protein conformation during interaction, or NMs themselves can lead to self-aggregations. Both phenomena can change the whole downstream bioreactivity of the concerned nanosystem. The main aim of this review is to understand the mechanistic view of NM-protein interaction and recapitulate the underlying physical chemistry behind the formation of such complicated macromolecular assemblies, to provide a critical overview of the different models describing NM induced structural and functional modification of proteins. The review also attempts to point out the current limitation in understanding the field and highlights the future scopes, involving a plausible proposition of how artificial intelligence could be aided to explore such systems for the prediction and directed design of the desired NM-protein interactions

    Technology transfer in duopoly: the role of cost asymmetry

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    Abstract This article examines the possibility of a profitable technology transfer deal in a duopoly. We show that under a fixed fee contract, technology transfer will be always profitable if the products are sufficiently differentiated or the firms behave sufficiently cooperatively or both. Under a profit sharing contract, however, a profitable technology transfer deal always exists even in a market characterised by Cournot duopoly with homogeneous goods

    Experimental and numerical simulation of a TPC like set up for the measurement of ion backflow

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    Ion backflow is one of the effects limiting the operation of a gaseous detector at high flux, by giving rise to space charge which perturbs the electric field. The natural ability of bulk Micromegas to suppress ion feedback is very effective and can help the TPC drift volume to remain relatively free of space charge build-up. An efficient and precise measurement of the backflow fraction is necessary to cope up with the track distortion due to the space charge effect. In a subtle but significant modification of the usual approach, we have made use of two drift meshes in order to measure the ion backflow fraction for bulk Micromegas detector. This helps to truly represent the backflow fraction for a TPC. Moreover, attempt is taken to optimize the field configuration between the drift meshes. In conjunction with the experimental measurement, Garfield simulation framework has been used to simulate the related physics processes numerically
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