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Sensitivity to Calibrated Parameters

Thomas Jørgensen

The Review of Economics and Statistics, 2023, vol. 105, issue 2, 474-481

Abstract: A common approach to estimation of dynamic economic models is to calibrate a subset of model parameters and keep them fixed when estimating the remaining parameters. Calibrated parameters likely affect conclusions based on the model, but estimation time often makes a systematic investigation of the sensitivity to calibrated parameters infeasible. I propose a simple and computationally low-cost measure of the sensitivity of parameters and other objects of interest to the calibrated parameters. In the main empirical application, I revisit the analysis of life-cycle savings motives in Gourinchas and Parker (

Date: 2023
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https://doi.org/10.1162/rest_a_01054
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Working Paper: Sensitivity to Calibrated Parameters (2021) Downloads
Working Paper: Sensitivity to Calibrated Parameters (2021) Downloads
Working Paper: Sensitivity to Calibrated Parameters (2020) Downloads
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The Review of Economics and Statistics is currently edited by Pierre Azoulay, Olivier Coibion, Will Dobbie, Raymond Fisman, Benjamin R. Handel, Brian A. Jacob, Kareen Rozen, Xiaoxia Shi, Tavneet Suri and Yi Xu

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