Uncertainty Quantification and Global Sensitivity Analysis for Economic Models-Reference-Cited by-同舟云学术

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Uncertainty Quantification and Global Sensitivity Analysis for Economic Models

Published:2017 Issue: Volume: Page:
ISSN:1556-5068
Container-title:SSRN Electronic Journal
language:en
Short-container-title:SSRN Journal

Author:

Harenberg Daniel,Marelli Stefano,Sudret Bruno,Winschel Viktor

Publisher

Elsevier BV

Reference86 articles.

1. Uncertainty in climate change modeling: can global sensitivity analysis be of help;B Anderson;Risk analysis,2014

2. Comparing solution methods for dynamic equilibrium economies;S B B Aruoba;Journal of Economic Dynamics and Control,2006

3. Presentation of two methods for computing the response coefficients in stochastic finite element analysis;M Berveiller;Proc. 9th ASCE Specialty Conference on Probabilistic Mechanics and Structural Reliability,2004

4. Stochastic finite elements: a non intrusive approach by regression;M Berveiller;Eur. J. Comput. Mech,2006

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Stranded Assets: How Policy Uncertainty Affects Capital, Growth, and the Environment;SSRN Electronic Journal;2018

2. Transport Policies in a Two-Sided Market;SSRN Electronic Journal;2018

3. Green Tax Reform, Endogenous Innovation and the Growth Dividend;SSRN Electronic Journal;2017

4. As Bad as it Gets: How Climate Damage Functions Affect Growth and the Social Cost of Carbon;SSRN Electronic Journal;2017

5. Machine Learning for High-Dimensional Dynamic Stochastic Economies;SSRN Electronic Journal;2017

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