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Author:Hansen, Lars Peter 

Working Paper
Linear rational expectations models for dynamically interrelated variables

Working Papers , Paper 135

Conference Paper
Flat rate taxes with adjustment costs and several capital stocks and household types

Proceedings , Issue Mar

Working Paper
Examining macroeconomic models through the lens of asset pricing

Dynamic stochastic equilibrium models of the macro economy are designed to match the macro time series including impulse response functions. Since these models aim to be structural, they also have implications for asset pricing. To assess these implications, we explore asset pricing counterparts to impulse response functions. We use the resulting dynamic value decomposition (DVD) methods to quantify the exposures of macroeconomic cash flows to shocks over alternative investment horizons and the corresponding prices or compensations that investors must receive because of the exposure to such ...
Working Paper Series , Paper WP-2012-01

Conference Paper
Certainty equivalence and model uncertainty

Simon?s and Theil?s certainty equivalence property justifies a convenient algorithm for solving dynamic programming problems with quadratic objectives and linear transition laws: first, optimize under perfect foresight, then substitute optimal forecasts for unknown future values. A similar decomposition into separate optimization and forecasting steps prevails when a decision maker wants a decision rule that is robust to model misspecification. Concerns about model misspecification leave the first step of the algorithm intact and affect only the second step of forecasting the future. The ...
Proceedings

Working Paper
Flat rate taxes with adjustment costs and several capital stocks and household types

Working Papers in Applied Economic Theory , Paper 93-03

Report
A note on Wiener-Kolmogorov prediction formulas for rational expectations models

A prediction formula for geometrically declining sums of future forcing variables is derived for models in which the forcing variables are generated by a vector autoregressive-moving average process. This formula is useful in deducing and characterizing cross-equation restrictions implied by linear rational expectations models.
Staff Report , Paper 69

Report
Mechanics of forming and estimating dynamic linear economies

This paper catalogues formulas that are useful for estimating dynamic linear economic models. We describe algorithms for computing equilibria of an economic model and for recursively computing a Gaussian likelihood function and its gradient with respect to parameters. We display an application to Rosen, Murphy, and Scheinkman's (1994) model of cattle cycles.
Staff Report , Paper 182

Report
On the mechanics of forming and estimating dynamic linear economies

This paper catalogues formulas that are useful for estimating dynamic linear economic models. We describe algorithms for computing equilibria of an economic model and for recursively computing a Gaussian likelihood function and its gradient with respect to parameters. We apply these methods to several example economies.
Staff Report , Paper 198

Report
Assessing specification errors in stochastic discount factor models

In this paper we develop alternative ways to compare asset pricing models when it is understood that their implied stochastic discount factors do not price all portfolios correctly. Unlike comparisons based on chi-squared statistics associated with null hypotheses that models are correct, our measures of model performance do not reward variability of discount factor proxies. One of our measures is designed to exploit fully the implications of arbitrage-free pricing of derivative claims. We demonstrate empirically the usefulness of methods in assessing some alternative stochastic factor models ...
Staff Report , Paper 167

Report
Aggregation over time and the inverse optimal predictor problem for adaptive expectations in continuous time

This paper describes the continuous time stochastic process for money and inflation under which Cagan?s adaptive expectations model is optimal. It then analyzes how data formed by sampling money and prices at discrete points in time would behave.
Staff Report , Paper 74

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