On the probability distribution of economic growth

DOI10.1080/02664763.2010.545110OpenAlexW2027778537MaRDI QIDQ5124888

Pär Stockhammar, Lars-Erik Öller

Publication date: 30 September 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://mpra.ub.uni-muenchen.de/18581/1/MPRA_paper_18581.pdf

zbMATH Keywords

kernel density estimationmethod of moments estimationAghion-Howitt modelasymmetric innovationsmixed normal-asymmetric Laplace distribution

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Fitting probability distributions to economic growth: a maximum likelihood approach

Uses Software

• bootstrap

Cites Work

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• Random fluctuations of response rate
• Capital accumulation and innovation as complementary factors in long-run growth
• A Simple Heteroscedasticity Removing Filter
• The Double Pareto-Lognormal Distribution—A New Parametric Model for Size Distributions
• Better Bootstrap Confidence Intervals
• A Model of Growth Through Creative Destruction
• Comparisons of tests for normality with a cautionary note
• ENDOGENOUS GROWTH AND ENDOGENOUS BUSINESS CYCLES
• A comparison of some methods for estimating mixed normal distributions
• A Three-Parameter Asymmetric Laplace Distribution and Its Extension

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