scispace - formally typeset
P

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.

Papers
More filters
Posted Content

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.
Posted Content

Steady Endogenous Growth with Population and R & D Inputs Growing

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.
Posted Content

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.