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We extend the standard evaluation framework to allow for interactions between individuals within segmented markets. An individual's outcome depends not only on the assigned treatment status but also on (features of) the distribution of treatments in his market. To evaluate how the distribution...
Persistent link: https://www.econbiz.de/10010273977
The credibility of standard instrumental variables assumptions is often under dispute. This paper imposes weak monotonicity in order to gain information on counterfactual outcomes, but avoids independence or exclusion restrictions. The outcome process is assumed to be sequentially ordered,...
Persistent link: https://www.econbiz.de/10010315505
This paper explores semi-monotonicity constraints in the distribution of potential outcomes, first, conditional on an instrument, and second, in terms of the response function. The imposed assumptions are strictly weaker than traditional instrumental variables assumptions and can be gainfully...
Persistent link: https://www.econbiz.de/10010315558
The identification of average causal effects of a treatment in observational studies is typically based either on the unconfoundedness assumption or on the availability of an instrument. When available, instruments may also be used to test for the unconfoundedness assumption (exogeneity of the...
Persistent link: https://www.econbiz.de/10010321134
In observational studies, the non-parametric estimation of a binary treatment effect is often performed by matching …. The current practice consists in matching for covariates which are not balanced for the treated and the control groups, i …
Persistent link: https://www.econbiz.de/10010317922
This paper discusses the evaluation problem using observational data when the timing of treatment is an outcome of a stochastic process. We show that, without additional assumptions, it is not possible to estimate the average treatment effect and treatment on the treated. It is, however,...
Persistent link: https://www.econbiz.de/10010321721
training. A non-parametric matching approach is applied to estimate the average program effects. Moreover, the results obtained … by matching are compared to results from standard linear regression and probit models, and a polychotomous selectivity …
Persistent link: https://www.econbiz.de/10010321723
We propose and implement a new method to estimate treatment effects in settings where individuals need to be in a certain state (e.g. unemployment) to be eligible for a treatment, treatments may commence at different points in time, and the outcome of interest is realized after the individual...
Persistent link: https://www.econbiz.de/10012388859
-employment probability, and probability of regular education. A non-parametric matching approach based on conditional independence assumption … is applied to estimate the average program effects. Moreover, the results obtained by matching are compared to results …
Persistent link: https://www.econbiz.de/10010321094
Consider an observed binary regressor D and an unobserved binary variable D*, both of which affect some other variable Y. This paper considers nonparametric identification and estimation of the effect of D on Y , conditioning on D* = 0. For example, suppose Y is a person's wage, the unobserved D...
Persistent link: https://www.econbiz.de/10010277518