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http://dx.doi.org/10.5351/KJAS.2012.25.4.553

A Study of a Combining Model to Estimate Quarterly GDP  

Kang, Chang-Ku (Economic Statistics Department, The Bank of Korea)
Publication Information
The Korean Journal of Applied Statistics / v.25, no.4, 2012 , pp. 553-561 More about this Journal
Abstract
Various statistical models to Estimate GDP (measured as a nation's economic situation) have been developed. In this paper an autoregressive distributed lag model, factor model, and a Bayesian VAR model estimate quarterly GDP as a single model; the combined estimates were evaluated to compare a single model. Subsequently, we suggest that some combined models are better than a single model to estimate quarterly GDP.
Keywords
Combining estimates; quarterly GDP; factor model;
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