938 resultados para Cost and standard of living--Maryland--Baltimore
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Bert M. Fernald, chairman.
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Reuse of record except for individual research requires license from Congressional Information Service, Inc.
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"April 1980."
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Issued July 1978.
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Mode of access: Internet.
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Mode of access: Internet.
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Most of these essays were originally delivered as lectures, they were afterward rewritten and printed in the Springfield Republican, under the title "Plain talks with young folks in a parson's study." cf. Pref.
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Cover title.
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"May 26, 1982."
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Young people living in rural and regional areas are often reported as being less physically active than are young people living elsewhere. An understanding of this phenomenon will inform policies and strategies to address this finding. One source of valuable information is a qualitative understanding of how social relations and cultural meanings influence young people's opportunities and choices in relation to physical activity as told by young people themselves. The study reported here forms a component of a national project to gain insights into young people's engagement with physical activity and physical culture. Data has been collected for over two years with 15 young people residing in rural areas throughout Queensland, using semi- structured interviews. This paper reports the findings of the research. [Author abstract, ed]
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In this paper we propose a range of dynamic data envelopment analysis (DEA) models which allow information on costs of adjustment to be incorporated into the DEA framework. We first specify a basic dynamic DEA model predicated on a number or simplifying assumptions. We then outline a number of extensions to this model to accommodate asymmetric adjustment costs, non-static output quantities, non-static input prices, and non-static costs of adjustment, technological change, quasi-fixed inputs and investment budget constraints. The new dynamic DEA models provide valuable extra information relative to the standard static DEA models-they identify an optimal path of adjustment for the input quantities, and provide a measure of the potential cost savings that result from recognising the costs of adjusting input quantities towards the optimal point. The new models are illustrated using data relating to a chain of 35 retail department stores in Chile. The empirical results illustrate the wealth of information that can be derived from these models, and clearly show that static models overstate potential cost savings when adjustment costs are non-zero.