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Optimization Methods and Control Theory
A note on migration perturbation and convergence rates to a steady state
Lawrence E. Blumeab, Aleksandra A. Lukinac a Cornell University
b Institute for Advanced Studies, Vienna
c Harris School of Public Policy, University of Chicago
Abstract:
Using tools developed in the Markov chains literature, we study convergence times in the Leslie population model in the short and middle run. Assuming that the population is in a steady state and reproduces itself period after period, we address the following question: how long will it take to get back to the steady state if the population distribution vector was affected by some shock as, for instance, the “brain drain”? We provide lower and upper bounds for the time required to reach a given distance from the steady state.
Key words and phrases:
The Leslie population model, migration perturbation, convergence rates to a steady state.
Received: 21.10.2020 06.11.2020 Accepted: 06.12.2020
Citation:
Lawrence E. Blume, Aleksandra A. Lukina, “A note on migration perturbation and convergence rates to a steady state”, Program Systems: Theory and Applications, 11:4 (2020), 17–30
Linking options:
https://www.mathnet.ru/eng/ps373 https://www.mathnet.ru/eng/ps/v11/i4/p17
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Statistics & downloads: |
Abstract page: | 87 | Full-text PDF : | 28 | References: | 20 |
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