The role of age-structured education data for economic growth forecasts

DOI10.1002/for.1171zbMath1208.91107OpenAlexW2164652900WikidataQ114697536 ScholiaQ114697536MaRDI QIDQ3084619

Tapas Kumar Mishra, Jesús Crespo Cuaresma

Publication date: 25 March 2011

Published in: Journal of Forecasting (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/for.1171

zbMATH Keywords

economic growthforecastingBayesian model averagingadaptive regressioneducation data

Mathematics Subject Classification ID

Statistical methods; economic indices and measures (91B82)

Cites Work

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• Vintage human capital, demographic trends, and endogenous growth
• Long memory relationships and the aggregation of dynamic models
• Estimating the dimension of a model
• Forecasting using predictive likelihood model averaging
• Age dynamics and economic growth: revisiting the nexus in a nonparametric setting
• Growth and human capital: good data, good results
• Bayesian Model Averaging for Linear Regression Models
• Adaptive Regression by Mixing
• Bayesian Graphical Models for Discrete Data
• A Contribution to the Empirics of Economic Growth

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