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Testing for latent factors in models with autocorrelation and heteroskedasticity of unknown form

Publication at Faculty of Social Sciences, Faculty of Mathematics and Physics, Centre for Economic Research and Graduate Education |
2005

Abstract

This article considers the problem of testing for latent factors or reduced rank in a broad class of (multivariate linear stationary) time-series models, wherein model errors have autocorrelation and heteroskedasticity of unknown form