A logistic model of the seasonal migration decision for elderly households in Arizona and Minnesota
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Updated: Jul 19, 2026

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
1Center for Business Research, Arizona State University, Tempe, USA.
Abstract:
While most previous studies of elderly migration have investigated permanent migration using Census data, this paper employs household (micro) data from statewide surveys conducted in Arizona and Minnesota to analyze seasonal migration as an economic decision. Estimation of logistic regression models for each state indicate income and age are important determinants, whereas these variables have not proven significant in previous studies based on aggregate data. The results lead to the conclusion that seasonal migration may be an integral part of a life cycle of elderly migration.
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