Multivariate Rational Inattention

Author:

Miao Jianjun1,Wu Jieran2,Young Eric R.34

Affiliation:

1. Department of Economics, Boston University

2. Academy of Financial Research and College of Economics, Zhejiang University

3. Department of Economics, University of Virginia

4. Research Department, Federal Reserve Bank of Cleveland

Abstract

We study optimal control problems in the multivariate linear‐quadratic‐Gaussian framework under rational inattention. We propose a three‐step procedure to solve this problem using semidefinite programming and derive the optimal signal structure without strong prior restrictions. We analyze both the transition dynamics of the optimal posterior covariance matrix and its steady state. We characterize the optimal information structure for some special cases and develop numerical algorithms for general cases. Applying our methods to solve three multivariate economic models, we obtain some results qualitatively different from the literature.

Publisher

The Econometric Society

Subject

Economics and Econometrics

Reference48 articles.

1. Afrouzi, H., and C. Yang (2019): “Dynamic Rational Inattention and the Phillips Curve,” working paper, Columbia University.

2. Rational Inattention, Optimal Consideration Sets, and Stochastic Choice

3. CVX Research, Inc. (2011): “CVX: Matlab Software for Disciplined Convex Programming,” version 2.0, http://cvxr.com/cvx.

4. Dewan, A. (2018): “Costly Multidimensional Information,” working paper, Columbia University.

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