An 11-page methodological essay in Population and Development Review (2003, 29(3): 448–458) written for a demography audience. Moffitt explains the economist's counterfactual framework for causal inference, the problem of endogeneity, the role of instrumental variables (IV) as the standard solution, and the fundamental tradeoff between internal validity (credible exogeneity) and external validity (generalizability). An extended applied example on teenage childbearing illustrates how each identification strategy works in practice and where it falls short. The conclusion calls for synthetic, evidence-weighing approaches rather than privileging any single identification strategy.
"There is no mechanical algorithm for producing a set of 'assumption free' facts or causal estimates based on those facts." (citing Heckman 2000)
"A collection of miscellaneous facts that do not add up to any general knowledge... is intellectually constricting and does not allow the pursuit of the larger social science questions and the explanation of societal-wide trends that motivate much of social science research."
"Modesty of claims for truth is the clear lesson from this review."
A lucid, balanced methodological essay. Moffitt is more skeptical of the natural experiment movement than most practitioners — he explicitly warns against the trade of external for internal validity, which was a contrarian position in 2003 and remains important. The LATE framing is essential for interpreting every IV paper in this wiki: examiner-lottery IV (Maestas, Mullen, Strand 2013; French and Song 2014) identifies effects for the complier population of marginal applicants, not the full enrolled or rejected population. The essay's strength is that it names this limitation clearly and argues for evidence synthesis rather than method fetishism. Limitation: the applied example (teenage childbearing) is dated and not relevant to this wiki's focus; the essay is most useful as a conceptual reference.