Treatment response with social interactions: Partial identification via monotone comparative statics
Treatment response with social interactions: Partial identification via monotone comparative statics
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社交互动的治疗反应：通过单调比较静态进行部分识别
DOI：
10.3982/qe308
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Natalia Lazzati
中科院分区：
文献类型：
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作者：
Natalia Lazzati
本文研究（非参数）部分识别的社会互动的治疗反应。它强加的经济理论的原型模型，即结构方程的激励条件，并表明，他们意味着通过单调的比较静态的潜在结果的分布的形状限制。计量经济学框架是易于处理的，并允许在多重均衡模型中进行反事实预测。在三组假设下，我们确定了可观察数据的潜在结果的分布界限。我们通过研究纽约州人均警察对犯罪率的影响来说明我们的结果。
This paper studies (nonparametric) partial identification of treatment response with social interactions. It imposes conditions motivated by economic theory on the primitives of the model, that is, the structural equations, and shows that they imply shape restrictions on the distribution of potential outcomes via monotone comparative statics. The econometric framework is tractable and allows for counterfactual predictions in models with multiple equilibria. Under three sets of assumptions, we identify sharp distributional bounds on the potential outcomes given observable data. We illustrate our results by studying the effect of police per capita on crime rates in New York state.