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Sampling and the census : a case against the proposed adjustments for undercount

著者: Kenneth Darga
出版商: Washington, D.C. : AEI Press, 1999.
版本/格式:   图书 : 英语查看所有的版本和格式
提要:
How to conduct Census 2000 has become a highly contentious issue, and the delay in selecting an approach threatens the census's eventual effectiveness. In dispute is the proposed "census sampling" technique for addressing the problem of undercount. Because census data are used to apportion federal funds and to determine how congressional seats are divided among and within states, the ultimate decision will have an
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附加的形体格式: Online version:
Darga, Kenneth.
Sampling and the census.
Washington, D.C. : AEI Press, 1999
(OCoLC)603626906
文件类型:
所有的著者/提供者: Kenneth Darga
ISBN: 0844741019 9780844741017 0844741027 9780844741024
OCLC号码: 40602892
描述: xii, 143 p. : ill. ; 22 cm.
内容: Foreword / Christopher DeMuth --
Introduction / Marvin H. Kosters --
Straining out gnats and swallowing camels--unintended effects of adjusting for undercount --
Quantifying measurement error and bias in the 1990 undercount adjustments --
Concluding observations --
Appendix A: responses to questions from the Honorable Carolyn B. Maloney on census undercount adjustment --
Appendix B: a debate on adjusting the census for undercount.
责任: Kenneth Darga.

摘要:

How to conduct Census 2000 has become a highly contentious issue, and the delay in selecting an approach threatens the census's eventual effectiveness. In dispute is the proposed "census sampling" technique for addressing the problem of undercount. Because census data are used to apportion federal funds and to determine how congressional seats are divided among and within states, the ultimate decision will have an important political effect. Media reports misleadingly suggest that sampling would heighten the accuracy of the count. But in Sampling and the Census, Kenneth Darga presents a compelling case against the proposed procedure.

In an attempt to address an inaccuracy at the national level, the adjustment would seriously undermine the reliability of census data at the state and local levels.

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