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Bjarne S. Jensen

Researcher at Copenhagen Business School

Publications -  37
Citations -  298

Bjarne S. Jensen is an academic researcher from Copenhagen Business School. The author has contributed to research in topics: General equilibrium theory & Endogenous growth theory. The author has an hindex of 10, co-authored 37 publications receiving 290 citations. Previous affiliations of Bjarne S. Jensen include University of Southern Denmark.

Papers
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MonographDOI

Dynamics, Economic Growth, and International Trade

TL;DR: The authors studied the relationship between growth and international trade and provided new analysis and techniques of economic growth, and provided analysis of new issues related to growth and trade, including the impact of trade on economic growth.
Journal ArticleDOI

General equilibrium dynamics of multi-sector growth models

TL;DR: In this article, the authors analyze the Walrasian general equilibrium systems and calculate the static and dynamic solutions for competitive market equilibria, including the endogenous behavior of all the relative prices and sectorial allocations of the primary factors, labor and capital.
Book

The Dynamic Systems of Basic Economic Growth Models

TL;DR: In this paper, the authors present an axiomatic approach to the basic economic growth model, based on the basic laws of production and homogeneity of growth models, and a two-sector growth model.
Journal ArticleDOI

Walrasian General Equilibrium Allocations and Dynamics in Two‐Sector Growth Models

TL;DR: In this article, the authors analyzed and solved miniature Walrasian general equilibrium systems of momentary and moving equilibria, which encompasses the fundamental neoclassical and classical two-sector growth models; the regimes (families of solutions) of steady-state and persistent growth per capita in various competitive two-tier economies are parametrically characterized.
Book

Stochastic Economic Dynamics

TL;DR: In this article, the authors analyze stochastic dynamic systems across a broad spectrum of economics and finance, and the major unifying theme is the coherent and rigorous treatment of uncertainty and its implications for describing stochance processes by the stochastically differential equations of the fundamental models in various fields.