UNIVERSITY OF MICHIGAN
Stochastic learning model of migration
THIS REPORT USES A BEHAVIORISTIC APPROACH TO MIGRATION IN WHICH INDIVIDUALS" DECISIONS ARE TREATED AS RANDOM VARIABLES WHOSE LIKELIHOODS ARE DEPENDENT UPON EACH INDIVIDUAL"S PREVIOUS EXPERIENCE AND NOT ON ANY KIND OF EXPLICIT EXPECTED INCOME OR UTILITY CALCULATIONS.
Cross, J. G. · 1970
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Abstract
THIS APPROACH IS IN CONTRAST TO THOSE MIGRATION THEORIES WHICH ASSUME THAT WORKERS TAKE RATIONAL ACCOUNT OF UNEMPLOYMENT RATES WHEN THEY COMPARE THE INCOME POTENTIALS OF ALTERNATIVE LOCATIONS AND FAIL, IRRATIONALLY, TO ACT UPON THESE COMPARISONS. THIS MODEL WOULD EMPLOY MANY OTHER VARIABLES. A MIGRATION THEORY IS DEVELOPED WHICH RELIES UPON A THEORY OF LEARNING AND INFORMATION TRANSMISSION. THIS LEADS TO THE FORMULATION OF A MIGRATION MODEL WHICH IS QUITE SIMILAR TO THE MORE INTUITIVELY BASED MIGRATION EQUATIONS FOUND IN THE CURRENT LITERATURE.
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