Report on a multiple regression method for making population estimates

Author:

O’Hare William12

Affiliation:

1. Department of Management and Budget, State of Michigan, Lansing, Michigan 48913

2. Department of Sociology, Michigan State University, East Lansing, Michigan 48824

Abstract

Abstract A new method of making population estimates is introduced and contrasted to the standard ratio-correlation method. The new method, called the “difference-correlation method,” produced population estimates for the counties of Michigan which had a smaller mean percentage error than estimates produced by the ratio-correlation method. The differences of proportions which are used in the difference-correlation method will always have means of zero, while the ratios used in the ratio-correlation method have means which vary. Higher intercorrelations among the variables and increased temporal stability of the intercorrelations are two advantages of using differences rather than ratios.

Publisher

Duke University Press

Subject

Demography

Cited by 26 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. 31 Small-Area and Business Demography;Handbooks of Sociology and Social Research;2019

2. New insights on the impact of coefficient instability on ratio-correlation population estimates;Journal of Economic and Social Measurement;2016-06-21

3. Estimating the Demographic Dynamic of Small Areas with the Kalman Filter;Dynamic Demographic Analysis;2016

4. Overview of Estimation Methods;The Springer Series on Demographic Methods and Population Analysis;2012

5. Advancing Methodological Knowledge Within State and Local Demography: a Case Study;Population Research and Policy Review;2004-08

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