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This paper uses data from the 1987–88 National Survey of Families and Households to study how the religion in which individuals are brought up influences the number of years of schooling that they complete. In multivariate analyses where a large number of other family background factors are held constant, significant differences by religion are uncovered: educational attainment is highest among Jews and lowest among fundamentalist Protestants, with Catholics and mainline Protestants at the center of the distribution. Various channels through which religion may influence the level of schooling are considered, within the framework of a human capital model that distinguishes between supply and demand factors. The empirical findings suggest that while demand influences are most important in explaining the high education of Jews, the relatively low schooling level of fundamentalist Protestants reflects supply and demand forces of similar strength. Analyses of schooling transitions shed light on the stages of the process at which the divergences occur.  相似文献   
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This paper reports the results of a prospective experiment in which a group of approximately 4,000 participants in the Transcendental Meditation and TM-Sidhi programs of Maharishi Mahesh Yogi assembled in Washington, D.C., from June 7 to July 30, 1993. It was hypothesized that levels of violent crime in the District of Columbia would fall substantially during the Demonstration Project, as a result of the group's effect of increasing coherence and reducing stress in the collective consciousness of the District. A 27-member Project Review Board comprising independent scientists and leading citizens approved the research protocol and monitored the research process. Weekly crime data was derived from database records provided by the District of Columbia Metropolitan Police Department (DCMPD), which are used in the FBI Uniform Crime Reports. Statistical analysis considered the effect of weather variables, daylight, historical crime trends and annual patterns in the District of Columbia, as well as trends in neighboring cities. Consistent with previous research, levels of homicides, rapes and assaults (HRA crimes) correlated with average weekly temperature. Robberies approximately followed an annually recurring cycle. Time series analysis of 1993 data, controlling for temperature, showed that HRA crimes dropped significantly during the Demonstration Project, corresponding with increases in the size of the group; the maximum decrease was 23.3% (p < 2 × 10–9) [24.6% using a longer baseline, with 1988--1993 data (p < 3 × 10–5)], coincident with the peak number of participants in the group during the final week of the assembly. When the same period in each of the five previous years was examined, no significant decreases in HRA crimes were found. Robberies did not decrease significantly. However, a model that jointly estimated the effect of the Demonstration Project on both HRA crimes and robberies showed a significant reduction in violent crimes overall of 15.6% (p = 0.0008). Further analysis showed that the effect of the coherence-creating group on reducing HRA crimes could not be accounted for by additional police staffing. The time series analysis for HRA crimes gave results that are highly robust to alternative model specifications, and showed that the effect of the group size was cumulative and persisted after the Demonstration Project ended. Also, calculation of the steady state gain based on the time series model predicted that a permanent group of 4,000 coherence-creating experts in the District would have a long-term effect of reducing HRA crimes by 48%.  相似文献   
229.
吕超 《南亚研究》2007,175(2):79-82
印度表演艺术与敦煌变文讲唱之间存在很深的渊源关系。二者在授受流变过程中,体现出异质文化融会时的过滤机制。佛教入华,亦带来了印度历史悠久的讲唱艺术,促成中土释门梵呗、转读、唱导、俗讲的发展繁荣。另一方面,梵剧途经西域传入中国,在当地文化影响下一路蜕变,最终在敦煌完全汉化,和变文讲唱融为一体。  相似文献   
230.
A heteroscedastic regression based on the odd log-logistic Marshall–Olkin normal (OLLMON) distribution is defined by extending previous models. Some structural properties of this distribution are presented. The estimation of the parameters is addressed by maximum likelihood. For different parameter settings, sample sizes and some scenarios, various simulations investigate the performance of the heteroscedastic OLLMON regression. We use residual analysis to detect influential observations and to check the model assumptions. The new regression explains the mass loss of different wood species in civil construction in Brazil.  相似文献   
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