A Multidimensional Approach in International Comparative Policy Analysis Based on Demographic Projections

Izhak Berkovich ()

Population Research and Policy Review, 2013, vol. 32, issue 6, 943-968

Abstract: The present study adopts a multidimensional approach to classifying countries in international comparative policy analyses. The article builds a data-based typology founded on future demographic projections of the United Nations. Latent class analysis is used to identify various demographic profiles of countries based on fertility rates, net migration rates, and dependency ratios. There is great value in identifying future changes in population composition, as it enables governments to set policy agenda, prioritize needs, and prepare better for what lies ahead. The paper demonstrates the value of such typology to social services, by analyzing the demographic profiles and estimating their implications for future challenges in educational provision. The contributions of the paper to international comparative policy analysis are discussed. Copyright Springer Science+Business Media Dordrecht 2013

Keywords: Demography; Educational policy; Planning; Multiculturalism (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1007/s11113-013-9281-x (text/html)
Access to full text is restricted to subscribers.

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:kap:poprpr:v:32:y:2013:i:6:p:943-968

Ordering information: This journal article can be ordered from
http://www.springer. ... es/journal/11113/PS2

DOI: 10.1007/s11113-013-9281-x

Access Statistics for this article

Population Research and Policy Review is currently edited by D.A. Swanson

More articles in Population Research and Policy Review from Springer, Southern Demographic Association (SDA)
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().