This paper considers causal inference and sample selection bias in non-experimental settings in which: (i) few units in …-treatment characteristics. We propose the use of propensity score matching methods and implement them using data from the NSW experiment … and compare the estimates of the treatment effect obtained using our methods to the benchmark results from the experiment …

This paper considers causal inference and sample selection bias in non-experimental settings in which: (i) few units in …-treatment characteristics. We propose the use of propensity score matching methods and implement them using data from the NSW experiment … and compare the estimates of the treatment effect obtained using our methods to the benchmark results from the experiment …

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 …

endogeneity and attrition/non-response bias, using two instrumental variables. Making use of a discrete instrument for the … as the total population and suggest non- and semiparametric estimators. We apply the latter to a randomized experiment at …

attention. This paper analyzes the dramatic impact of sample attrition in a large job search experiment. We take advantage of …