Conclusion
Andrei Rogers (),
James Raymer () and
Jani Little ()
Additional contact information
Andrei Rogers: University of Colorado, Boulder Inst. Behavioral Science Population Program
James Raymer: University of Southampton, School of Social Sciences
Jani Little: University of Colorado Institute of Behavioral Science
Chapter Chapter 7 in The Indirect Estimation of Migration, 2010, pp 155-158 from Springer
Abstract:
Abstract Mortality, fertility, and migration rates combine to shape the temporal evolution of multiregional populations, and demographers study how the levels, age profiles, and spatial patterns of these contributors to population change vary over time and space. What they have discovered is that all three generally exhibit persistent regularities in their age and spatial structures, when changing levels are controlled for. Drawing on such regularities, it is often possible to improve the quality of the available data by smoothing irregular data, imposing the structures of borrowed and related data on inadequate data, or by inferring missing data.
Keywords: Migration Flow; Migration Data; Inadequate Data; Interregional Migration; Irregular Data (search for similar items in EconPapers)
Date: 2010
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssdmcp:978-90-481-8915-1_7
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DOI: 10.1007/978-90-481-8915-1_7
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