Estimation of Dynamic Programming Models with Censored Dependent Variables
This paper considers the estimation of dynamic structural models where the decision variables are censored. We present and discuss several econometric issues and estimation methods under alternative stochastic structure of the unobservables, different potential sources of censoring, and different characteritics of dataset.
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