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The Stata Journal
Volume 7 Number 4: pp. 507-541

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Causal inference with observational data

Austin Nichols
Urban Institute
Washington, DC
[email protected]
Abstract.   Problems with inferring causal relationships from nonexperimental data are briefly reviewed, and four broad classes of methods designed to allow estimation of and inference about causal parameters are described: panel regression, matching or reweighting, instrumental variables, and regression discontinuity. Practical examples are offered, and discussion focuses on checking required assumptions to the extent possible.
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View all articles with these keywords: xtreg, psmatch2, nnmatch, ivreg, ivreg2, ivregress, rd, lpoly, xtoverid, ranktest, causal inference, match, matching, reweighting, propensity score, panel, instrumental variables, excluded instrument, weak identification, regression, discontinuity, local polynomial

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