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How well do structural demand models work? Counterfactual predictions in school choice

机译:结构需求模型如何运作? 学校选择的反事实预测

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This paper investigates the prediction accuracy of discrete choice models of school demand, using a policy reform in Boston that altered where applicants can apply under school choice. We find that the discrete choice models do not consistently outperform a much simpler heuristic, but their inconsistent performance largely arises from prediction errors in applicant characteristics, which are auxiliary inputs. Once we condition on the correct inputs, the discrete choice models consistently outperform, and their accuracy does not significantly improve upon refitting using post-reform data, suggesting that the choice models capture stable components of the preference distribution across policy regimes. (C) 2020 Elsevier B.V. All rights reserved.
机译:本文利用波士顿的一项政策改革调查了学校需求离散选择模型的预测准确性,这项政策改革改变了申请人可以根据学校选择申请的地方。我们发现,离散选择模型的表现并不总是优于一个简单得多的启发式算法,但它们的不一致性很大程度上源于申请人特征的预测误差,而申请人特征是辅助输入。一旦我们以正确的输入为条件,离散选择模型的表现就会一直优于其他模型,并且在使用改革后的数据进行重新调整后,其准确性不会显著提高,这表明选择模型捕捉到了政策制度中偏好分布的稳定组成部分。(C) 2020爱思唯尔B.V.版权所有。

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