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Causal inference

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Author Info
Austin Nichols () (Urban Institute)

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Abstract

In this presentation, I provide a brief overview of quasiexperimental methods of estimating causal impacts using Stata: panel data, matching and reweighting, instrumental variables, and regression discontinuity designs, emphasizing practical considerations. I pay particular attention to the regression discontinuity method, which is the least widely known but the most well regarded of the quasiexperimental methods in those circumstances where it is appropriate.

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Paper provided by Stata Users Group in its series DC09 Stata Conference with number 8.

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Date of creation: 11 Aug 2009
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Handle: RePEc:boc:dcon09:8

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This page was last updated on 2009-12-12.

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