Robust Permanent Income and Pricing with Filtering

Posted: 7 May 2005

See all articles by Lars Peter Hansen

Lars Peter Hansen

University of Chicago - Department of Economics; National Bureau of Economic Research (NBER)

Thomas J. Sargent

New York University (NYU) - Department of Economics, Leonard N. Stern School of Business; National Bureau of Economic Research (NBER)

Neng Wang

Columbia University - Columbia Business School, Finance; National Bureau of Economic Research (NBER); Asian Bureau of Finance and Economic Research (ABFER)

Abstract

A planner and agent in a permanent-income economy cannot observe part of the state, regard their model as an approximation, and value decision rules that are robust across a set of models. They use robust decision theory to choose allocations. Equilibrium prices reflect the preference for robustness and so embody a "market price of Knightian uncertainty." We compute market prices of risk and compare them with a model that assumes that the state is fully observed. We use detection error probabilities to constrain a single parameter that governs the taste for robustness.

Keywords: Kalman filter, approximating model, Knightian uncertainty, robustness, equity premium, market price of uncertainty, permanent income

JEL Classification: D11, D91, E21

Suggested Citation

Hansen, Lars Peter and Sargent, Thomas J. and Wang, Neng, Robust Permanent Income and Pricing with Filtering. Macroeconomic Dynamics, Vol. 6, pp. 40-84, 2002, Available at SSRN: https://ssrn.com/abstract=715122

Lars Peter Hansen (Contact Author)

University of Chicago - Department of Economics ( email )

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National Bureau of Economic Research (NBER)

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Thomas J. Sargent

New York University (NYU) - Department of Economics, Leonard N. Stern School of Business ( email )

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National Bureau of Economic Research (NBER)

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Neng Wang

Columbia University - Columbia Business School, Finance ( email )

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National Bureau of Economic Research (NBER) ( email )

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Asian Bureau of Finance and Economic Research (ABFER) ( email )

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