Trimming for Bounds on Treatment Effects with Missing Outcomes

By David S. Lee. 2002

104 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/8414da3ef40ece79081e9e0afbd85fec5d63a6a8

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In Statistics and Probability

Citations in the corpus

USING RANDOMIZATION IN DEVELOPMENT ECONOMICS RESEARCH: A TOOLKIT (2008, background): “Important studies discussing non-parametric bounds include Manski (1989) and Lee (2002) The idea of non-parametric Manski–Lee bounds is to use plausible assumptions about the monotonicity of potential outcomes and attrition along with relative rank restrictions on the distribution of potential outco”
Assessing the Long-Term Effects of Conditional Cash Transfers on Human Capital: Evidence from Colombia (2011, methodology): “In order to address this issue, we follow Lee (2002) and Angrist et al. (2006) to construct nonparametric upper bounds of program effects (for the matching analysis) on learning by symmetrically truncating the two distributions at some specific quantile.”
Long-Term Educational Consequences of Secondary School Vouchers: Evidence from Administrative Records in Colombia (2006, background): “Related studies discussing nonparametric bounds on selection bias include Charles F. Manski (1989) and David S. Lee (2002).”
The Effect of School Choice on Participants: Evidence from Randomized Lotteries (2006, methodology): “REFERENCES LEE, D. S. (2002): “Trimming for Bounds on Treatment Effects,” Working Paper 10277, National Bureau of Economic Research.”
Confidence Intervals for Partially Identified Parameters (2003, unknown): “1997, Mullins, 2003), measurement error (Horowitz and Manski, 1995; Bollinger, 1996, Molinari, 2002, Dominitz and Sherman, 2003), and selection problems (Manski, 1990; Lee, 2002).”