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Keywords:structural models 

Working Paper
Poor (Wo)man’s Bootstrap

The bootstrap is a convenient tool for calculating standard errors of the parameters of complicated econometric models. Unfortunately, the fact that these models are complicated often makes the bootstrap extremely slow or even practically infeasible. This paper proposes an alternative to the bootstrap that relies only on the estimation of one-dimensional parameters. The paper contains no new difficult math. But we believe that it can be useful.
Working Paper Series , Paper WP-2015-1

Report
Expectations Data in Structural Microeconomic Models

A growing literature uses now widely available data on beliefs and expectations in the estimation of structural models. In this chapter, we review this literature, with an emphasis on models of individual and household behavior. We first show how expectations data have been used to relax strong assumptions about beliefs and outline how they can be used in estimation to substitute for, or as a complement to, data on choices. Next, we discuss the literature that uses different types of expectations data in the estimation of structural models. We conclude by noting directions for future research.
Staff Reports , Paper 1018

Working Paper
Impulse Response Analysis for Structural Dynamic Models with Nonlinear Regressors

We study the construction of nonlinear impulse responses in structural dynamic models that include nonlinearly transformed regressors. Such models have played an important role in recent years in capturing asymmetries, thresholds and other nonlinearities in the responses of macroeconomic variables to exogenous shocks. The conventional approach to estimating nonlinear responses is by Monte Carlo integration. We show that the population impulse responses in this class of models may instead be derived analytically from the structural model. We use this insight to study under what conditions ...
Working Papers , Paper 2019

Working Paper
Mind the gap! Stylized Dynamic Facts and Structural Models.

We study what happens to identified shocks and to dynamic responses when the data generating process features q disturbances but q1
Working Paper Series , Paper WP-2020-29

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