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Author: American Statistical Association. Meeting
Publisher:
ISBN:
Category : Canada
Languages : en
Pages : 532
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Book Description
Author: American Statistical Association. Meeting
Publisher:
ISBN:
Category : Canada
Languages : en
Pages : 532
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Book Description
Author:
Publisher: National Center for Health Statistics
ISBN:
Category : Medical
Languages : en
Pages : 100
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Book Description
Author:
Publisher:
ISBN:
Category : Census
Languages : en
Pages : 1196
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Author:
Publisher:
ISBN:
Category : Electronic journals
Languages : en
Pages : 606
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Book Description
Author: Abigail J. Moss
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 130
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Author: National Research Council
Publisher: National Academies Press
ISBN: 0309184215
Category : Social Science
Languages : en
Pages : 134
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Book Description
The U.S. Department of Education uses estimates of school-age children in poverty to allocate federal funds under Title I of the Elementary and Secondary Education Act for education programs to aid disadvantaged children. Historically, the allocations have been made by a two-stage process: the department's role has been to allocate Title I funds to counties; the states have then distributed these funds to school districts. Until recently, the department has based the county allocations on the numbers and proportions of poor school-age children in each county from the most recent decennial census. States have used several different data sources, such as the decennial census and the National School Lunch Program, to distribute the department's county allocations to districts. In 1994 Congress authorized the Bureau of the Census to provide updated estimates of poor school-age children every 2 years, to begin in 1996 with estimates for counties and in 1998 with estimates for school districts. The Department of Education is to use the school district estimates to allocate Title I basic and concentration grants directly to districts for the 1999-2000 and later school years, unless the Secretaries of Education and Commerce determine that they are "inappropriate or unreliable" on the basis of a study by the National Research Council. That study is being carried out by the Committee on National Statistics' Panel on Estimates of Poverty for Small Geographic Areas.
Author:
Publisher:
ISBN:
Category : Health surveys
Languages : en
Pages : 132
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Book Description
Author: Christine A. Franklin
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 118
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Book Description
Statistics education as proposed in this framework can promote the must-have competencies for graduates to thrive in the modern world.
Author:
Publisher:
ISBN:
Category : Canada
Languages : en
Pages : 720
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Book Description
Author: Monica Pratesi
Publisher: John Wiley & Sons
ISBN: 1118815017
Category : Mathematics
Languages : en
Pages : 485
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Book Description
A comprehensive guide to implementing SAE methods for poverty studies and poverty mapping There is an increasingly urgent demand for poverty and living conditions data, in relation to local areas and/or subpopulations. Policy makers and stakeholders need indicators and maps of poverty and living conditions in order to formulate and implement policies, (re)distribute resources, and measure the effect of local policy actions. Small Area Estimation (SAE) plays a crucial role in producing statistically sound estimates for poverty mapping. This book offers a comprehensive source of information regarding the use of SAE methods adapted to these distinctive features of poverty data derived from surveys and administrative archives. The book covers the definition of poverty indicators, data collection and integration methods, the impact of sampling design, weighting and variance estimation, the issue of SAE modelling and robustness, the spatio-temporal modelling of poverty, and the SAE of the distribution function of income and inequalities. Examples of data analyses and applications are provided, and the book is supported by a website describing scripts written in SAS or R software, which accompany the majority of the presented methods. Key features: Presents a comprehensive review of SAE methods for poverty mapping Demonstrates the applications of SAE methods using real-life case studies Offers guidance on the use of routines and choice of websites from which to download them Analysis of Poverty Data by Small Area Estimation offers an introduction to advanced techniques from both a practical and a methodological perspective, and will prove an invaluable resource for researchers actively engaged in organizing, managing and conducting studies on poverty.
