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Recursive Models of Dynamic Linear Economies

By: (Author) Lars Peter Hansen , (Author) Thomas J. Sargent

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Ksh 9,000.00

Format: Hardback or Cased Book

ISBN-10: 0691042772

ISBN-13: 9780691042770

Series: The Gorman Lectures in Economics

Publisher: Princeton University Press

Imprint: Princeton University Press

Country of Manufacture: US

Country of Publication: GB

Publication Date: Dec 26th, 2013

Print length: 424 Pages

Weight: 928 grams

Dimensions (height x width x thickness): 26.00 x 18.80 x 2.90 cms

Product Classification: Economic theory & philosophy
Econometrics

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Demonstrates the analytical benefits acquired when an analysis with a representative consumer is possible, they also characterize the restrictiveness of assumptions under which a representative household justifies a purely aggregative analysis.

A guide to the economic modeling of household preferences, from two leaders in the field

A common set of mathematical tools underlies dynamic optimization, dynamic estimation, and filtering. In Recursive Models of Dynamic Linear Economies, Lars Peter Hansen and Thomas Sargent use these tools to create a class of econometrically tractable models of prices and quantities. They present examples from microeconomics, macroeconomics, and asset pricing. The models are cast in terms of a representative consumer. While Hansen and Sargent demonstrate the analytical benefits acquired when an analysis with a representative consumer is possible, they also characterize the restrictiveness of assumptions under which a representative household justifies a purely aggregative analysis.

Hansen and Sargent unite economic theory with a workable econometrics while going beyond and beneath demand and supply curves for dynamic economies. They construct and apply competitive equilibria for a class of linear-quadratic-Gaussian dynamic economies with complete markets. Their book, based on the 2012 Gorman lectures, stresses heterogeneity, aggregation, and how a common structure unites what superficially appear to be diverse applications. An appendix describes MATLAB programs that apply to the book''s calculations.


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