potential outcome distribution is assumed to weakly increase (or decrease) with the instrument, conditional on the continuation … construction of bounds is illustrated in two data examples. -- Nonparametric bounds ; treatment effects ; endogeneity ; binary …

equation's covariates. This contamination propagates additional bias introduced into the parameter estimates of the various … additional bias into the parameter estimates of the various covariates of the substantive equation. Our empirical implementation … shows that even under mild correlation between the random disturbances, the resulting bias in the estimated parameter of the …

as either the sample size or the duration of the experiment increases. We develop two methods for inference: a …

In linear econometric models with proportional selection on unobservables, omitted variable bias in estimated treatment …

detect invalid instruments, in the presence of heterogeneous treatment effects and endogeneity. We also provide a formal … proof of the fact that those testable implications are only necessary but not sufficient conditions for instrument validity …

This paper considers causal inference and sample selection bias in non-experimental settings in which: (i) few units in … experiment. Following Lalonde (1986), we pair the experimental treated units with non-experimental comparison units from the CPS … experiment. For both comparison groups, we show that the methods succeed in focusing attention on the small subset of the …

This paper considers causal inference and simple selection bias in non-experimental settings in which: (i) few units in … experiment. Following Lalonde (1986), we pair the experimental treated units with non-experimental comparison units from the CPS … experiment. We show that the methods succeed in focusing attention on the small subset of the comparison units comparable to the …