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ANOTHER LOOK AT THE IDENTIFICATION AT INFINITY OF SAMPLE SELECTION MODELS

机译:样本选择模型的无限性的另一种寻找

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摘要

It is often believed that without instruments, endogenous sample selection models are identified only if a covariate with a large support is available (see, e.g., Chamberlain, 1986, Journal of Econometrics 32, 189-218; Lewbel, 2007, Journal of Econometrics 141, 777-806) . We propose a new identification strategy mainly based on the condition that the selection variable becomes independent of the covari-ates for large values of the outcome. No large support on the covariates is required. Moreover, we prove that this condition is testable. We finally show that our strategy can be applied to the identification of generalized Roy models.
机译:人们通常认为,如果没有仪器,只有在具有较大支持的协变量可用的情况下,才能确定内生样本选择模型(例如,参见Chamberlain,1986,Journal of Econometrics 32,189-218; Lewbel,2007,Journal of Econometrics 141 ,777-806)。我们主要基于以下条件提出一种新的识别策略:选择变量变得独立于大结果值的协变量。不需要大的协变量支持。而且,我们证明了这种情况是可以测试的。最后,我们证明了我们的策略可以应用于广义Roy模型的识别。

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