A Keynesian Endogenous Growth Theory with a Rigorous Microeconomic Foundation

A New Micro-Foundation for Keynesian Economics

Standard micro-founded macroeconomics starts with optimization exercises to derive the precise behavior of the representative agent and regards the macroeconomy as a homothetic enlargement of a micro agent. This paper takes a different approach and presents a new micro-foundation for Keynesian economics. The key concept is stochastic macro-equilibrium, which is a natural extension of the labor ...

Do Information Asymmetries Constitute a Solid Foundation for the Elaboration of a Keynesian Theory of Credit and Financial Institutions? Do Information Asymmetries Constitute a Solid Foundation for the Elaboration of a Keynesian Theory of Credit and Financial Institutions?

These Working papers collect the work of the Faculty of Economics of the University of Insubria. The publication of work by other Authors can be proposed by a member of the Faculty, provided that the paper has been presented in public. The name of the proposer is reported in a footnote. The views expressed in the Working papers reflect the opinions of the Authors only, and not necessarily the o...

Lecture Notes1 Microeconomic Theory

Building a Rigorous Foundation for Assurance into Information Assurance Education

Syracuse University is one of thirty-six National Security Agency designated Centers of Academic Excellence in Information Assurance Education. Our IA program was developed within the Center for Systems Assurance (CSA), whose mission is to promote improvement in systems and information assurance through research, education, and technology trans-

A Mathematically Rigorous Foundation for Supervised Learning ? ? ? Eugene

This paper consists of two parts, one theoretical, and one experimental. And while its primary focus is the development of a mathematically rigorous, theoretical foundation for the eld of supervised learning, including a discussion of what constitutes a \solvable pattern recognition problem", it will also provide some algorithmic detail for implementing the general classi cation method derived ...