Information geometries and Microeconomic Theories

Economy – Quantitative Finance – General Finance

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

More than thirty years ago, Charnes, Cooper and Schinnar (1976) established an enlightening contact between economic production functions (EPFs) -- a cornerstone of neoclassical economics -- and information theory, showing how a generalization of the Cobb-Douglas production function encodes homogeneous functions. As expected by Charnes \textit{et al.}, the contact turns out to be much broader: we show how information geometry as pioneered by Amari and others underpins static and dynamic descriptions of microeconomic cornerstones. We show that the most popular EPFs are fundamentally grounded in a very weak axiomatization of economic transition costs between inputs. The strength of this characterization is surprising, as it geometrically bonds altogether a wealth of collateral economic notions -- advocating for applications in various economic fields --: among all, it characterizes (i) Marshallian and Hicksian demands and their geometric duality, (ii) Slutsky-type properties for the transformation paths, (iii) Roy-type properties for their elementary variations.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Information geometries and Microeconomic Theories does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Information geometries and Microeconomic Theories, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Information geometries and Microeconomic Theories will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-118807

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.