Rare shocks vs. non-linearities: what drives extreme events in the economy? Some empirical evidence
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Publication:1655557
DOI10.1016/j.jedc.2016.12.005zbMath1401.91492OpenAlexW2270500969MaRDI QIDQ1655557
Publication date: 9 August 2018
Published in: Journal of Economic Dynamics \& Control (Search for Journal in Brave)
Full work available at URL: http://www.cnb.cz/en/economic-research/.galleries/research_publications/cnb_wp/cnbwp_2015_04.pdf
Economic time series analysis (91B84) Stochastic models in economics (91B70) Statistical methods; economic indices and measures (91B82) Economic dynamics (91B55) Dynamic stochastic general equilibrium theory (91B51)
Uses Software
Cites Work
- Unnamed Item
- Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses
- Bayesian Measures of Model Complexity and Fit
- Adaptive Rejection Sampling for Gibbs Sampling
- BAYESIAN INFERENCE OF THRESHOLD AUTOREGRESSIVE MODELS
- DSGE Models with Student-tErrors
- Bayesian predictive information criterion for the evaluation of hierarchical Bayesian and empirical Bayes models
- Time Varying Structural Vector Autoregressions and Monetary Policy
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