Information geometries and Microeconomic Theories
Richard Nock, Brice Magdalou, Nicolas Sanz, Eric Briys, Fred Celimene,, Frank Nielsen

TL;DR
This paper explores how information geometry underpins microeconomic theories, revealing geometric structures behind production functions, demand dualities, and transition costs, thus unifying various economic concepts.
Contribution
It demonstrates that key microeconomic concepts can be derived from a weak axiomatization rooted in information geometry, broadening the theoretical foundation.
Findings
Grounds popular EPFs in geometric axiomatization
Characterizes demand functions and their duality geometrically
Links economic transition costs to information geometric structures
Abstract
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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsEconomic theories and models · Complex Systems and Time Series Analysis · Economic Theory and Institutions
