English, Article edition: A Dynamic Probabilistic Version of the Aoki–Yoshikawa Sectoral Productivity Model Scalas, Enrico; Garibaldi, Ubaldo

User activity

Share to:
 
Bookmark: http://trove.nla.gov.au/version/139764
Physical Description
  • article
Language
  • English

Edition details

Title
  • A Dynamic Probabilistic Version of the Aoki–Yoshikawa Sectoral Productivity Model
Author
  • Scalas, Enrico
  • Garibaldi, Ubaldo
Physical Description
  • article
Notes
  • In this paper, the authors explore a dynamical version of the Aoki and Yoshikawa model (AYM) for an economy driven by demand. They show that when an appropriate Markovian dynamics is taken into account, the AYM has different equilibrium distributions depending on the form of transition probabilities. In the version of the dynamic AYM presented here, transition probabilities depend on a parameter c tuning the choice of a new sector for workers leaving their sector. The solution of Aoki and Yoshikawa is recovered only in the case c =​ 0. All the other possible cases give different equilibrium probability distributions, including the Bose–Einstein distribution.
  • Macroeconomics, Markov processes, Markov chains, stochastic models, statistical equilibrium in Economics
  • RePEc:zbw:ifweej:7601
Language
  • English
Contributed by
OAIster

Get this edition

Other links

  • Set up My libraries

    How do I set up "My libraries"?

    In order to set up a list of libraries that you have access to, you must first login or sign up. Then set up a personal list of libraries from your profile page by clicking on your user name at the top right of any screen.

  • All (1)
  • Unknown (1)
None of your libraries hold this item.
None of your libraries hold this item.
None of your libraries hold this item.
None of your libraries hold this item.
None of your libraries hold this item.
None of your libraries hold this item.
None of your libraries hold this item.
None of your libraries hold this item.

User activity


e.g. test cricket, Perth (WA), "Parkes, Henry"

Separate different tags with a comma. To include a comma in your tag, surround the tag with double quotes.

Be the first to add a tag for this edition

Be the first to add this to a list

Comments and reviews

What are comments? Add a comment

No user comments or reviews for this version

Add a comment