Modeling tails of aggregate economic processes in a stochastic growth model
type: Item
instance of: scholarly article
title: Modeling tails of aggregate economic processes in a stochastic growth model
zbMATH Open document ID: 1506.62014
author: Stéphane Auray
author: Aurélien Eyquem
author: Frédéric Jouneau-Sion
published in: Computational Statistics and Data Analysis
publication date: 2018-11-23T00:00:00Z
Mathematics Subject Classification ID: 62-08
Mathematics Subject Classification ID: 62M10
Mathematics Subject Classification ID: 62P20
Mathematics Subject Classification ID: 91B62
zbMATH DE Number: 6983966
zbMATH Keywords: economic growth
zbMATH Keywords: unified growth theory
zbMATH Keywords: heteroskedasticity
zbMATH Keywords: fat tails
describes a project that uses: decon
MaRDI profile type: Publication
full work available at URL: j.csda.2014.02.011
OpenAlex ID: W2127312845
cites work: Robust Bayesian analysis of heavy-tailed stochastic volatility models using scale mixtures of normal distributions
cites work: Tests for Parameter Instability and Structural Change With Unknown Change Point
cites work: Rare Disasters and Asset Markets in the Twentieth Century*
cites work: MIXING AND MOMENT PROPERTIES OF VARIOUS GARCH AND STOCHASTIC VOLATILITY MODELS
cites work: Spectral and persistence properties of cyclical growth
cites work: Empirical properties of asset returns: stylized facts and statistical issues
cites work: The sample autocorrelations of heavy-tailed processes with applications to ARCH
cites work: Extremal behaviour of solutions to a stochastic difference equation with applications to ARCH processes
cites work: Density estimation with heteroscedastic error
cites work: Testing for unit root processes in random coefficient autoregressive models
cites work: Efficient Tests for an Autoregressive Unit Root
cites work: Q4343010
cites work: Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation
cites work: Zipf's Law for Cities: An Explanation
cites work: Institutional Investors and Stock Market Volatility
cites work: Rank − 1 / 2: A Simple Way to Improve the OLS Estimation of Tail Exponents
cites work: From Physical to Human Capital Accumulation: Inequality and the Process of Development
cites work: Inequality in Landownership, the Emergence of Human-Capital Promoting Institutions, and the Great Divergence
cites work: Modelling nonlinearities and heavy tails via threshold normal mixture GARCH models
cites work: Long memory relationships and the aggregation of dynamic models
cites work: Random difference equations and renewal theory for products of random matrices
cites work: The generalized fluctuation test: A unifying view
cites work: Making a Miracle
cites work: Investment Under Uncertainty
cites work: Limit theory for the sample autocorrelations and extremes of a GARCH \((1,1)\) process.
cites work: Generalized extreme value distribution with time-dependence using the AR and MA models in state space form
cites work: Human Capital, Product Quality, and Growth
DOI: 10.1016/J.CSDA.2014.02.011
description: scientific article; zbMATH DE number 6983966