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Featured
Markov Switching

"Markov switching models are a family of models that introduces time variation in the parameters in the form of their state, or regime-specific values. This time variation is governed by a latent discrete-valued stochastic process with limited memory. ..." – By Yong Song and Tomasz Woźniak
Featured
Agent-Level Adaptive Learning

"The introduction of adaptive learning at the agent level requires the specification of the learning implementation’s behavioral primitives, equilibrium notions, and stability concepts. The cognitive consistency principle—that the sophistication of a model’s agents should be comparable to the sophistication of the modeler—guides the behavioral assumptions. ..." – By George W. Evans and Bruce McGough
What's New to the OREs
In March 2021, more than 310 new and 11 revised articles have been published on the Oxford Research Encyclopedias platform. Explore the recently published articles now.
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On May 28, the Oxford Research Encyclopedias of Business and Management, Economics and Finance, and Neuroscience will be available via subscription. After a successful free period during development, the OREs provide in-depth overviews of the major areas of research and will continue to grow with the field over time. If you're a librarian, explore Subscriber Services to learn how to provide access to the OREs for your institution. If you're not a librarian, you can recommend the OREs to your librarian here.

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Recently Published
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