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来源类型Article
规范类型其他
DOI10.1002/for.2328
Last night a shrinkage saved my life: economic growth, model uncertainty and correlated regressors.
Hofmarcher P; Crespo Cuaresma J; Gruen B; Hornik K
发表日期2015
出处Journal of Forecasting 34 (2): 133-144
出版年2015
语种英语
摘要We compare the predictive ability of Bayesian methods which deal simultaneously with model uncertainty and correlated regressors in the framework of cross-country growth regressions. In particular, we assess methods with 'spike and slab' priors combined with different prior specifications for the slope parameters in the slab. Our results indicate that moving away from Gaussan g-priors towards Bayesian ridge, LASSO or elastic net specifications has clear advantages for prediction when dealing with datasets of (potentially highly) correlated regressors, a pervasive characteristic of the data used hitherto in the econometric literature.
主题World Population (POP)
关键词model uncertainty prediction economic growth Bayesian methods correlated regressors
URLhttp://pure.iiasa.ac.at/id/eprint/11499/
来源智库International Institute for Applied Systems Analysis (Austria)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/130395
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Hofmarcher P,Crespo Cuaresma J,Gruen B,et al. Last night a shrinkage saved my life: economic growth, model uncertainty and correlated regressors.. 2015.
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