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Shows how to convert irregular sample data into smooth and more valid migration patterns
Details how to combine various migration data together to provide a more complete and accurate picture of population movements
Fills in the gaps found in historical censuses that lack a migration question as well as the migration data from poor developing countries
This unique book introduces an essential element in applied demographic analysis: a tool-kit for describing, smoothing, repairing and - in instances of totally missing data - inferring directional migration flows. Migration rates combine with fertility and mortality rates to shape the evolution of human populations. Demographers have found that all three generally exhibit persistent regularities in their age and spatial patterns, when changing levels are controlled for. Drawing on statistical descriptions of 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 unreliable data, and estimating missing data by indirect methods. Model migration schedules and log-linear models are presented as powerful methods for helping population researchers, historical demographers, geographers, and migration analysts work with the data available to them.
Content Level »Research
Keywords »ACS - Age patterns - Census - Census 2000 - Data - Demography - Fertility - Historical Demographers - IRS - Migration - Mortality rates - Population Movements - Social Sciences - Statistics
Describing Age Structures of Migration.- Describing Spatial Structures of Migration.- Smoothing Age and Spatial Patterns.- Imposing Age and Spatial Patterns.- Inferring Age and Spatial Patterns.- Conclusion.