J. Peter Neary
University of Oxford
202 Papers
3.2K Citations
J. Peter Neary is an academic researcher from University of Oxford. The author has contributed to research in topics: Oligopoly & Commercial policy. The author has an hindex of 57, co-authored 202 publications. Previous affiliations of J. Peter Neary include Nuffield College & Economic Policy Institute.
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Papers
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Export subsidies and national welfare
TL;DR: The binding of this item renders some marginal text unreadable as mentioned in this paper, and the original photocopying quality of the original document renders some text in this item unreadable as well.
The Failure of Economic Nationalism
J. Peter Neary
- 01 Jan 1994
TL;DR: These are the opening words of a lecture by one of the greatest economists of the century, John Maynard Keynes, entitled "Economic Possibilities for our Grandchildren." It was delivered in 1930, at the lowest point of the British Great Depression as mentioned in this paper.
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New Characteristics and Hedonic Price Index Numbers
TL;DR: In this paper, the authors combine theoretical insights from index numbers and demand for characteristics to develop a new method for incorporating changes on the extensive characteristic margin, which leads to revisions in estimated inflation rates for this commodity group that are both plausible and quantitatively important.
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R&D Spillovers and the Case for Industrial Policy in an Open Economy
TL;DR: In this article, the authors consider the case for subsidies towards firms which generate RD RD and international spillovers which benefit foreign firms may justify a subsidy, even though the government cares only about the profits of home firms.
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True Multilateral Indexes for International Comparisons of Real Income: Theory and Empirics
TL;DR: The GAIA (Geary-Allen International Accounts) as discussed by the authors is a utility-consistent benchmark for international comparisons of real income, which coincides with the Geary method (which underlies the Penn World Table) when preferences are Leontief and with the EKS method when preference are homogeneous quadratic.
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