Estimating distributions of potential outcomes using local instrumental variables with an application to changes in college enrollment and wage inequality

By Pedro Carneiro, S. Lee. 2009

136 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/baf082dceb806298e868e3f42e4c5320775ebe65

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Citations in the corpus

Beyond LATE with a Discrete Instrument (2017, methodology): “This means that if the MTE is approximately linear, as in the empirical analysis of Carneiro et al. (2011), then the approximation error from specifying k0 and k1 as linear functions of p will be small.”
Intersection bounds: estimation and inference (2009, methodology): “We use data from the National Longitudinal Survey of Youth of 1979 (NLSY79); in particular, we use the same data extract as Carneiro and Lee (2009) giving us n = 2044 observations.”
Quantile Selection Models with an Application to Understanding Changes in Wage Inequality (2017, unknown): “[16] Carneiro, P.”
A Test of the Conditional Independence Assumption in Sample Selection Models: A TEST OF THE CONDITIONAL INDEPENDENCE ASSUMPTION (2012, unknown): “The tted value IV estimators suggested by Amemiya (1982), Powell (1983), and Chen and Portnoy (1996) are, therefore, not useful for analyzing heterogeneity (which was not the intention of their authors). Similarly, the control function estimators in Lee (2007), Blundell and Powell (2007), and Carne”
Beyond LATE with a discrete instrument. Heterogeneity in the quantity-quality interaction of children (2012, methodology): “(3)See Heckman and Vytlacil (2007) and Carneiro and Lee (2009) for a discussion of the alternative estimation approach in situations with an instrument that generates continuous support on the probability of treatment P (Z) from 0 to 1 for each value of X.”
Trends in Quality-Adjusted Skill Premia in the United States, 1960-2000 (2009, background): “, Willis and Rosen, 1979; Carneiro et al., 2009; Deschênes, 2007), and constitutes the basis of our empirical framework. Composition effects of the type we discuss are often thought to be unimportant in the empirical literature on the college premium, although their existence is well recognized. See”
Evaluating Public Programs with Close Substitutes: The Case of Head Start (2016, methodology): “”20 To demonstrate identification of the selection coefficients { γh d , γ c d } it is useful to eliminate the main effect of the covariates by differencing (16) across values of the program offer Zi as follows:”
Heterogeneous treatment effects: instrumental variables without monotonicity? (2010, unknown): “5It has also been applied by Chesher (1991), Chesher and Schluter (2002) and Battistin and Chesher (2004) in the context of measurement error.”
Community Colleges and Upward Mobility (2019, unknown): “Moffitt (2008), Carneiro and Lee (2009), Carneiro et al. (2011), Havnes and Mogstad (2015), Kirkeboen et al. (2016), Kline and Walters (2016), Carneiro et al. (2017), Cornelissen et al. (2017), Nybom (2017), and Walters (2017).”