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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/1107 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/1107 http://eprints.org/relation/isCoversheetVersionOf https://pure.iiasa.ac.at/id/document/1107 archive 351 disk0/00/00/10/95 2016-01-15 01:46:13 2021-08-27 17:09:17 2016-01-15 01:46:13 monograph show 2 Willekens F. 323 Por A. AL1709 Raquillet R. AL0333 pub iis_cmp iis_mig prog_hss This paper presents techniques for inferring migration flows by migrant category from some available aggregate data. The data are in the form of marginal totals of migration flow matrices or prior information on certain cell values. A generalized estimation procedure is presented which incorporates both maximum likelihood and x^2 estimates. The duality results of the optimizing problems rely on the decomposition principle of Rockafellar. We prove the convergence of the general iterative procedure of which the well-known RAS and entropy methods are special cases. The validity of the methods is tested by comparison of estimates and observations for Austria and Sweden, using x^2 and absolute percentage deviation test statistics. The techniques are then applied to infer age-specific migration flows for Bulgaria. Algorithms and FORTRAN computer programs are also given. 1979-09 published WP-79-088 WP-79-088 1665 2750 2322 public working_paper IIASA, Laxenburg, Austria 120 FALSE info:eu-repo/semantics/book