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cemmap Working Papers
February 2008 CWP04/08
Article
Consistent noisy independent component analysis
Type: cemmap Working Papers
Authors: Stéphane Bonhomme and Jean-Marc Robin
JEL classification: C14
Now published in: Journal of Econometrics [Details]

We study linear factor models under the assumptions that factors are mutually independent and independent of errors, and errors can be correlated to some extent. Under factor non-Gaussianity, second to fourth-order moments are shown to yield full identification of the matrix of factor loadings. We develop a simple algorithm to estimate the matrix of factor loadings from these moments. We run Monte Carlo simulations and apply our methodology to British data on cognitive test scores.

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