Some New Techniques for Applying the Housing Unit Method of Local Population Estimation

Author:

Smith Stanley K.1,Lewis Bart B.2

Affiliation:

1. Department of Economics and Bureau of Economic and Business Research, University of Florida, Gainesville, Florida 32611

2. The Atlanta Regional Commission, Atlanta, Georgia 30303

Abstract

Abstract The housing unit method of population estimation is often characterized as being imprecise and having an upward bias. We believe that the method itself cannot properly be characterized by a particular level of precision or direction of bias. Only specific techniques of applying the method can have such characteristics. In this paper we discuss several new techniques we have developed for estimating households and the average number of persons per household. Estimates produced by these techniques are compared to estimates produced by several other techniques. Special census results from Florida provide preliminary evidence that the new techniques produce more precise, less biased estimates than the other techniques.

Publisher

Duke University Press

Subject

Demography

Cited by 34 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Estimating Postcensal Household Size for NYC’s Neighborhoods;Population Research and Policy Review;2020-07-14

2. References;Survey Sampling Theory and Applications;2017

3. Housing-Unit Method in Comparison: The Virginia Case;Emerging Techniques in Applied Demography;2014-10-10

4. Estimating historic population data for small geographies using census housing information;Journal of Population Research;2013-10-01

5. Improving Small-Area Population Estimation: An Integrated Geographic and Demographic Approach;Annals of the Association of American Geographers;2013-09

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3