Tuesday, May 16, 2017

Explore more about information equilibrium

Originally formulated by physicists Peter Fielitz and Guenter Borchardt for natural complex systems, information equilibrium [arXiv:physics.gen-ph] is a potentially useful framework for understanding many economic phenomena. Here are some additional resources:


A tour of information equilibrium
Slide presentation (51 slides)


Dynamic equilibrium and information equilibrium
Slide presentation (19 slides)


Maximum entropy and information theory approaches to economics
Slide presentation (27 slides)


Information equilibrium as an economic principle
Pre-print/working paper (44 pages)
[arXiv:q-fin.EC], [SSRN], [EconPapers:RePEc]

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Update 27 July 2017


Macro ensembles and information equilibrium
Simple macroeconomics: AD-AS, IS-LM
Slide presentation (29 slides)
[download pdf], [slide images], ["Twitter talk"]

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Update 28 December 2017


Forecasting macroeconomic observables using (dynamic) information equilibrium
Slide presentation (36 slides)
[download pdf], [slide images], ["Twitter talk"]

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Update 01 January 2018


Maximum entropy and information theory approaches to economics
Pre-print/working paper (21 pages)
[SSRN]

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Update 2 April 2018


Trends in macroeconomic observables and (dynamic) information equilibrium
Slide presentation (22 slides)
[download pdf], ["Twitter talk"], [page link]

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Update 6 October 2018


Information equilibrium and economics: Applications of maximum entropy information theory
Presented at the "Outside the Box" workshop
at the UW Economics department 5 October 2018
Slide presentation (67 slides)

For a general audience:



A random physicist takes on economics
2017 e-Book and Paperback (133 pages)
[book website]




A Workers' History of the United States 1948-2020
2019 e-Book and Paperback (138 pages)
[book website]



Hayek Meets Information Theory. And Fails.
Evonomics article (3500 words)
[evonomics.com]


Supply and demand and GANs
Slide presentation/twitter talk (9 "slides")
["Twitter talk"]


Information equilibrium
Slide presentation/twitter talk (16 "slides")
["Twitter talk"], [slide images]

2 comments:

  1. 4 hours and my head hurts, indicating my math isn't up to a detailed critique - but it looks interesting.
    Nothing I could fault, but I can't be confident something isn't hiding in the assumptions.
    Someone with better skills in this domain required.

    ReplyDelete
    Replies
    1. All of the assumptions are laid out in pretty explicit mathematical detail in section II of this paper:

      https://arxiv.org/abs/0905.0610

      Delete

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