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Peter Howitt
Researcher at Brown University
Publications - 171
Citations - 29383
Peter Howitt is an academic researcher from Brown University. The author has contributed to research in topics: Endogenous growth theory & Competition (economics). The author has an hindex of 58, co-authored 171 publications receiving 27996 citations. Previous affiliations of Peter Howitt include University of Western Ontario & University of Notre Dame.
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What Do We Learn From Schumpeterian Growth Theory
TL;DR: In this paper, the role of competition and market structure, firm dynamics, the relationship between growth and development with the notion of appropriate growth institutions, and the emergence and impact of long-term technological waves.
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Steady Endogenous Growth with Population and R & D Inputs Growing
Peter Howitt,Peter Howitt +1 more
TL;DR: In this paper, a Schumpeterian endogenous growth model is presented in which a steady state exists with a constant growth rate even though population and the inputs to R&D are growing.
OtherDOI
Macroeconomics with Intelligent Autonomous Agents
TL;DR: The work of Axel Leijonhufvud is discussed in this article, where topics range from Keynesian economics and the economics of high inflation to the micro-foundations of macroeconomics and economic history.
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Wage flexibility and employment
TL;DR: One of the central messages of Keynes's General Theory was that wage flexibility cannot be counted on to cure unemployment as mentioned in this paper. But he did not rest his case on the assumption of sticky wages, and argued that if wages were more flexible, matters would be even worse.
Journal ArticleDOI
Activist Monetary Policy under Rational Expectations
TL;DR: In this article, the authors argue that the pursuit of an activist monetary policy may make economic sense even when people's expectations are formed rationally, and they present a simple model in which prices are costly to adjust, there is uncertainty concerning the parameters affecting aggregate demand, and there are positive costs of gathering and processing information.