@TechReport{iza:izadps:dp9346,
            	author={Black, Dan A. and Joo, Joonhwi and LaLonde, Robert J. and Smith, Jeffrey A. and Taylor, Evan J.},
            	title={Simple Tests for Selection Bias: Learning More from Instrumental Variables},
            	year={2015},
	month={Sep},
            	institution={Institute of Labor Economics (IZA)},
            	address={Bonn},
            	type={IZA Discussion Paper},
            	number={9346},
            	url={https://www.iza.org/publications/dp9346},
	abstract={We provide simple tests for selection on unobserved variables in the Vytlacil-Imbens-Angrist framework for Local Average Treatment Effects. The tests allow researchers not only to test for selection on either or both of the treated and untreated outcomes, but also to assess the magnitude of the selection effect. The tests are quite simple; undergraduates after an introductory econometrics class should be able to implement these tests. We illustrate our tests with two empirical applications: the impact of children on female labor supply from Angrist and Evans (1998) and the training of adult women from the Job Training Partnership Act (JTPA) experiment.},
	keywords={selection;local average treatment effects;instrumental variables},
            }