O'Keeffe, AG;
Baio, G;
(2016)
Approaches to the Estimation of the Local Average Treatment Effect in a Regression Discontinuity Design.
Scandinavian Journal of Statistics: theory and applications
, 43
(4)
pp. 978-995.
10.1111/sjos.12224.
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Abstract
Regression discontinuity designs (RD designs) are used as a method for causal inference from observational data, where the decision to apply an intervention is made according to a ‘decision rule’ that is linked to some continuous variable. Such designs are being increasingly developed in medicine. The local average treatment effect (LATE) has been established as an estimator of the intervention effect in an RD design, particularly where a design’s ‘decision rule’ is not adhered to strictly. Estimating the variance of the LATE is not necessarily straightforward. We consider three approaches to the estimation of the LATE: two-stage least squares, likelihood-based and a Bayesian approach. We compare these under a variety of simulated RD designs and a real example concerning the prescription of statins based on cardiovascular disease risk score.
| Type: | Article |
|---|---|
| Title: | Approaches to the Estimation of the Local Average Treatment Effect in a Regression Discontinuity Design |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1111/sjos.12224 |
| Publisher version: | http://dx.doi.org/10.1111/sjos.12224 |
| Language: | English |
| Additional information: | © 2016 The Authors Scandinavian Journal of Statistics published by John Wiley & Sons Ltd on behalf of The Board of the Foundation of the Scandinavian Journal of Statistics This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
| Keywords: | causal inference, local average treatment effect, regression discontinuity design, two-stage least squares |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1474128 |
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