Recursive Models of Dynamic Linear Economies is popular PDF and ePub book, written by Lars Peter Hansen in 2018-07-10, it is a fantastic choice for those who relish reading online the Business & Economics genre. Let's immerse ourselves in this engaging Business & Economics book by exploring the summary and details provided below. Remember, Recursive Models of Dynamic Linear Economies can be Read Online from any device for your convenience.
Recursive Models of Dynamic Linear Economies Book PDF Summary
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.
Detail Book of Recursive Models of Dynamic Linear Economies PDF
- Author : Lars Peter Hansen
- Release : 10 July 2018
- Publisher : Princeton University Press
- ISBN : 9780691180731
- Genre : Business & Economics
- Total Page : 418 pages
- Language : English
- PDF File Size : 13,9 Mb
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