Age–period–cohort decompositions using principal components and partial least squares

DOI10.1080/00949655.2010.507763zbMath1365.62466OpenAlexW2138669075MaRDI QIDQ5300721

Kosei Fukuda

Publication date: 28 June 2013

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2010.507763

zbMATH Keywords

partial least squaresidentification problemprincipal componentsage-period-cohort decomposition

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Linear inference, regression (62J99)

Related Items (5)

Functional principal component analysis in age–period–cohort analysis of body mass index data by gender and ethnicity ⋮ Age-period-cohort models and the perpendicular solution ⋮ A simple method for age-period-cohort decomposition of firm survival data ⋮ Principal-component-based generalized-least-squares approach for panel data ⋮ Some remarks on the functional relation between canonical correlation analysis and partial least squares

Cites Work

• On the structure of partial least squares regression
• Determining the Number of Factors in Approximate Factor Models
• Consumption Over the Life Cycle

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