Recursive models of dynamic linear economies /
Lars Hansen and Thomas J. Sargent.
- 1 online resource (xv, 399 p.)
- The Gorman lectures in economics .
Includes bibliographical references (p. 379-392) and index.
Acknowledgements -- Preface -- Overview -- Theory and econometrics -- Tools -- Linear stochastic difference equations -- Efficient computations -- Components of economies -- Economic environments -- Optimal resource allocations -- A commodity space -- Competitive economies -- Representations and properties -- Statistical representations -- Canonical household technologies -- Examples -- Permanent income models -- Gorman heterogeneous households -- Complete markets aggregation -- References -- Subject index -- Author index -- MATLAB index.
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.