Time aggregation and the contradictions with causal relationships : can economic theory come to the rescue?

dc.contributor.authorGupta, Rangan
dc.contributor.authorKomen, Kibii
dc.contributor.emailRangan.Gupta@up.ac.zaen_US
dc.date.accessioned2009-07-09T12:59:48Z
dc.date.available2009-07-09T12:59:48Z
dc.date.issued2009
dc.description.abstractThe literature on causality takes contradictory stands on the direction of causal relationships based on whether one uses temporally aggregated or systematically sampled data. As an example, using the relationship between a nominal target and the instrument used to achieve it, we show that one can fall back upon the data in itself, and analyse it from the perspective of economic theory, not only as a source of second opinion to econometric theories and Monte Carlo simulations, but also to draw proper conclusions regarding the form of the causal relationship that might be actually existing in the data.en_US
dc.identifier.citationGupta, R & Komen, K 2009, 'Time aggregation and the contradictions with causal relationships: can economic theory come to the rescue?', Studies in Economics and Econometrics, vol. 33, no. 1, pp. 13-24. [http://www.journals.co.za/ej/ejour_bersee.html]en_US
dc.identifier.issn0379-6205
dc.identifier.urihttp://hdl.handle.net/2263/10753
dc.language.isoenen_US
dc.publisherBureau for Economic Research and the Graduate School of Business, University of Stellenboschen_US
dc.rightsBureau for Economic Research and the Graduate School of Business, University of Stellenboschen_US
dc.subjectTemporal aggregationen_US
dc.subjectSystematic samplingen_US
dc.subjectGranger causalityen_US
dc.subjectCointegrationen_US
dc.subjectError correction modelsen_US
dc.subject.lcshEconomicsen
dc.titleTime aggregation and the contradictions with causal relationships : can economic theory come to the rescue?en_US
dc.typeArticleen_US

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