Causal inference, time and observation plans in the social sciences

Causal inference, time and observation plans in the social sciences This paper first discusses the role of time in causal inferences in the social sciences. It then compares in detail how panel and event history observation designs affect causal analysis. It shows that the collection of event history data is an extremely useful approach for uncovering causal relationships or mapping out systems of causal relations. It concludes that event history data provide an optimal basis for a causal understanding of social processes because they allow the social researcher to relate the change in future outcomes to conditions in the past at each point in time. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Quality & Quantity Springer Journals

Causal inference, time and observation plans in the social sciences

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Publisher
Kluwer Academic Publishers
Copyright
Copyright © 1997 by Kluwer Academic Publishers
Subject
Social Sciences; Methodology of the Social Sciences; Social Sciences, general
ISSN
0033-5177
eISSN
1573-7845
D.O.I.
10.1023/A:1004289932598
Publisher site
See Article on Publisher Site

Abstract

This paper first discusses the role of time in causal inferences in the social sciences. It then compares in detail how panel and event history observation designs affect causal analysis. It shows that the collection of event history data is an extremely useful approach for uncovering causal relationships or mapping out systems of causal relations. It concludes that event history data provide an optimal basis for a causal understanding of social processes because they allow the social researcher to relate the change in future outcomes to conditions in the past at each point in time.

Journal

Quality & QuantitySpringer Journals

Published: Sep 30, 2004

References

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