Household and Living Arrangement Projections at the Small Area Level

Yi Zeng, Kenneth C. Land, Danan Gu and Zhenglian Wang
Additional contact information
Yi Zeng: Duke University, Center for Study of Aging and Human Development Medical School
Kenneth C. Land: Duke University, Department of Sociology and Center for Population Health and Aging Population Research Institute
Danan Gu: United Nations, Population Division
Zhenglian Wang: Duke University, Center for Population Health and Aging Population Research Institute

Chapter Chapter 6 in Household and Living Arrangement Projections, 2014, pp 109-114 from Springer

Abstract: Abstract In this chapter presented and discussed the basic concepts and methodology for applying the ProFamy approach in combination with ratio methods (including the constant-share and shift-share ratio methods) to project household and living arrangement projections at the small area level. To assess the accuracy of the combined ratio method and ProFamy approach and present illustrative applications, we calculated projections from 1990 to 2000 and compared projected estimates with census-observed counts in 2000 for sets of randomly selected 25 small counties and 25 small cities which were more or less evenly distributed across the United States. The comparisons show that, in general, most forecast errors are reasonably small – mostly less than or slightly more than 5 %. These results evidently illustrated the utility of the ProFamy approach in combination with ratio methods to project households and living arrangements at the small area level.

Keywords: Living Arrangement Projections; Small Area Level; ProFamy; Small County; Ratio Method (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ssdmcp:978-90-481-8906-9_6

Ordering information: This item can be ordered from
http://www.springer.com/9789048189069

DOI: 10.1007/978-90-481-8906-9_6

Access Statistics for this chapter

More chapters in The Springer Series on Demographic Methods and Population Analysis from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().