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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
austinnichols@gmail.com
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.

View all articles by this author: Austin Nichols

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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