Related Projections

Stanley K. Smith, Jeff Tayman and David A. Swanson
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Stanley K. Smith: University of Florida, Bureau of Economic and Business Research
Jeff Tayman: University of California-San Diego, Economics Department
David A. Swanson: University of California Riverside, Department of Sociology

Chapter Chapter 11 in A Practitioner's Guide to State and Local Population Projections, 2013, pp 287-299 from Springer

Abstract: Abstract Many planning and budgeting decisions are based on projections of households, school enrollment, family structure, employment, poverty, disability status, and similar variables. These projections are related to population projections in that they are strongly affected by population size and demographic composition. In this chapter, we describe two methods for making projections of socioeconomic characteristics, health characteristics, and a variety of population subgroups (e.g., persons in prison or enrolled in government benefits programs). One derives these projections from population projections by age (and sometimes by sex, race, and ethnicity as well) and the other employs cohort-change ratios similar to those described in Chap. 7 . We illustrate the application of these methods using projections of school enrollment, disability, labor force, and households.

Keywords: Labor Force; Housing Unit; School Enrollment; Population Projection; Supplemental Nutrition Assistance Program (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssdmcp:978-94-007-7551-0_11

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DOI: 10.1007/978-94-007-7551-0_11

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