Some Thoughts on Causation as It Relates to Demography and Population Studies

Herbert L. Smith

Population and Development Review, 2003, vol. 29, issue 3, 459-469

Abstract: The counterfactual account of causality defines an effect as the difference, for some unit, between an outcome under an observed treatment and an outcome under a hypothetical alternative. When units are heterogeneous in a population, there is no single causal effect. The micro‐level account of causation is complicated when units interact with one another, as they do in human populations. The search for causation requires manipulation. But key micro‐level demographic variables—age, race, sex—are not easily manipulated. What are subject to manipulation are the social rules, policies, or choice sets available to individuals within populations. Thus causes are best conceptualized at the macro level, even if their effects are observed at the micro level.

Date: 2003
References: View complete reference list from CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
https://doi.org/10.1111/j.1728-4457.2003.00459.x

Related works:
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:bla:popdev:v:29:y:2003:i:3:p:459-469

Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0098-7921

Access Statistics for this article

Population and Development Review is currently edited by Paul Demeny and Geoffrey McNicoll

More articles in Population and Development Review from The Population Council, Inc.
Bibliographic data for series maintained by Wiley Content Delivery ().