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단행본

Recursive Models of Dynamic Linear Economies

발행사항
Princeton, New Jersey : Princeton University Press, 2014
형태사항
xv, 399p. ; 26cm
서지주기
Includes bibliographical references (p. 379-392) and index
소장정보
위치등록번호청구기호 / 출력상태반납예정일
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책 소개

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.



목차
Preface Acknowledgments Part I: Overview 1. Theory and Econometrics Part II: Tools 2. Linear Stochastic Difference Equations 3. Efficient Computations Part III: Components of Economies 4. Economic Environments 5. Optimal Resource Allocations 6. A Commodity Space 7. Competitive Economies Part IV: Representations and Properties 8. Statistical Representations 9. Canonical Household Technologies 10. Examples 11. Permanent Income Models 12. Gorman Heterogeneous Households 13. Complete Markets Aggregation 14. Periodic Models of Seasonality A. MATLAB Programs References Subject Index Author Index MATLAB Index