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Heterogeneous treatment effects: Instrumental variables without monotonicity?
Klein,T.J.
Klein,T.J.
Abstract
Imbens and Angrist (1994) were the first to exploit a monotonicity condition in order to identify a local average treatment effect parameter using instrumental variables. More recently, Heckman and Vytlacil (1999) suggested the estimation of a variety of treatment effect parameters using a local version of their approach. We investigate the sensitivity of the respective estimates to random departures from monotonicity. Approximations to the respective bias terms are derived. In an empirical application the bias is calculated and bias corrected estimates are obtained. The accuracy of the approximation is investigated in a Monte Carlo study.
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Appeared earlier as CentER Discussion Paper 2008-45
Date
2010
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Klein, T J 2010, 'Heterogeneous treatment effects : Instrumental variables without monotonicity?', Journal of Econometrics, vol. 155, no. 2, pp. 99-116.