9780198287599-0198287593-Understanding Consumption (Clarendon Lectures in Economics)

Understanding Consumption (Clarendon Lectures in Economics)

ISBN-13: 9780198287599
ISBN-10: 0198287593
Author: Angus Deaton
Publication date: 1993
Publisher: Oxford University Press
Format: Hardcover 256 pages
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Book details

ISBN-13: 9780198287599
ISBN-10: 0198287593
Author: Angus Deaton
Publication date: 1993
Publisher: Oxford University Press
Format: Hardcover 256 pages

Summary

Understanding Consumption (Clarendon Lectures in Economics) (ISBN-13: 9780198287599 and ISBN-10: 0198287593), written by authors Angus Deaton, was published by Oxford University Press in 1993. With an overall rating of 4.2 stars, it's a notable title among other books. You can easily purchase or rent Understanding Consumption (Clarendon Lectures in Economics) (Hardcover) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

This book provides an overview of the recent research on saving and consumption, a field in which substantial progress has been made over the last decade.
Attempts by economists to understand saving and consumption patterns have generated some of the best science in economics. For more than fifty years, there has been serious empirical and theoretical activity, and data, theory, and policy have never been separated as has happened in many branches of economics. Research has drawn microeconomists interested in household behaviour, as well as macroeconomists for whom the behaviour of aggregate consumption has always occupied a central role in explaining aggregate fluctuations. Econometricians have also made distinguished contributions, and there has been a steady flow of new methodologies by those working on saving and consumption, in time-series econometrics, as well as in the study of micro and panel data.
A coherent account of these developments is presented here, emphasizing the interplay between micro and macro, between studies of cross-section and panels, and those using aggregate time series data.

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