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Sequential Estimation of Structural Models With a Fixed Point Constraint
DOI:10.3982/ECTA8291.png)
Abstract
En 中文
This paper considers the estimation problem of structural models for which empirical restrictions are characterized by a fixed point constraint, such as structural dynamic discrete choice models or models of dynamic games. We analyze a local condition under which the nested pseudo likelihood (NPL) algorithm converges to a consistent estimator, and derive its convergence rate. We find that the NPL algorithm may not necessarily converge to a consistent estimator when the fixed point mapping does not have a local contraction property. To address the issue of divergence, we propose alternative sequential estimation procedures that can converge to a consistent estimator even when the NPL algorithm does not.
Keywords:
Contraction
dynamic games
nested pseudo likelihood
recursive projection method
Journal
IF:
7.1
Papers:
3.0K
Citations:
4.3W

