Tools
Moneta, Alessio, Entner, Doris, Hoyer, Patrik O and Coad, Alex (2012) Causal inference by independent component analysis: theory and applications. Oxford Bulletin of Economics and Statistics. ISSN 1468-0084
Full text not available from this repository.
Official URL: http://dx.doi.org/10.1111/j.1468-0084.2012.00710.x
Abstract
Structural vector-autoregressive models are potentially very useful tools for guiding both macro- and microeconomic policy. In this study, we present a recently developed method for estimating such models, which uses non-normality to recover the causal structure underlying the observations. We show how the method can be applied to both microeconomic data (to study the processes of firm growth and firm performance) and macroeconomic data (to analyse the effects of monetary policy).
Item Type: | Article |
---|---|
Additional Information: | Online First Publication |
Schools and Departments: | School of Business, Management and Economics > SPRU - Science Policy Research Unit |
Subjects: | H Social Sciences > HA Statistics |
Depositing User: | Alex Coad |
Date Deposited: | 13 Aug 2012 10:00 |
Last Modified: | 13 Aug 2012 10:00 |
URI: | http://srodev.sussex.ac.uk/id/eprint/40299 |