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Estimating Causal Effects of Discrete and Continuous Treatments with Binary Instruments
We propose an instrumental variable framework for identifying and estimating causal effects of discrete and continuous treatments with binary instruments. The basis of our approach is a local copula representation of the joint distribution of the potential outcomes and unobservables determining trea
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