Scandinavian Working Papers in Economics
Working Paper Series,
IFAU - Institute for Evaluation of Labour Market and Education Policy
No 2016:12: Proxy variables and nonparametric identification of causal effects
Xavier de Luna, Philip Fowler () and Per Johansson
Additional contact information
Xavier de Luna: Department of statistics, USBE, Umeå University, Postal: Umeå, Sweden
Philip Fowler: Department of statistics, USBE, Umeå University, Postal: Umeå, Sweden
Per Johansson: Department of statistics, Uppsala University; The Institute for the Study of Labor IZA, Bonn, Germany; IFAU, Postal: Institute for Evaluation of Labour Market and Education Policy, P O Box 513, SE-751 20 Uppsala, Sweden
Abstract: Proxy variables are often used in linear regression models with the aim of removing potential confounding bias. In this paper we formalise proxy variables within the potential outcome framework, giving conditions under which it can be shown that causal effects are nonparametrically identified. We characterise two types of proxy variables and give concrete examples where the proxy conditions introduced may hold by design.
Keywords: average treatment effect; observational studies; potential outcomes; unobserved confounders
JEL-codes: C14
10 pages, June 30, 2016
Full text files
wp2016-12-proxy-vari...f-causal-effects.pdf
- Published as
- Xavier de Luna, Philip Fowler and Per Johansson, (2017), 'Proxy variables and nonparametric identification of causal effects', Economics Letters, vol 150, no January, pages 152-154
- IFAU - Institute for Evaluation of Labour Market and Education Policy
- Ordering Working Papers
- Home page for this series
Questions (including download problems) about the papers in this series should be directed to Ali Ghooloo ()
Report other problems with accessing this service to Sune Karlsson ().
RePEc:hhs:ifauwp:2016_012This page generated on 2024-09-13 22:15:20.