Time Aggregation and the Contradictions with Causal Relationships: Can Economic Theory Come to the Rescue?

Rangan Gupta and K Komen

Studies in Economics and Econometrics, 2009, vol. 33, issue 1, 16-27

Abstract: The 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.

Date: 2009
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/10800379.2009.12106460 (text/html)
Access to full text is restricted to subscribers.

Related works:
Working Paper: Time Aggregation and the Contradictions with Causal Relationships: Can Economic Theory Come to the Rescue? (2008)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:rseexx:v:33:y:2009:i:1:p:16-27

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/rsee20

DOI: 10.1080/10800379.2009.12106460

Access Statistics for this article

Studies in Economics and Econometrics is currently edited by Willem Bester

More articles in Studies in Economics and Econometrics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().