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摘要翻译：
本文研究了异质企业按生产率排序的非参数识别和反事实界。当数量和价格是潜在的，使标准方法不适用时，我们的方法是有效的。相反，我们需要观察利润或其他优化值，如成本或收入，以及灵活选择的变量的价格或价格代理。我们将定价企业的经典对偶结果推广到具有离散异质性、内生性和可能潜在价格的有限变化的情形。最后，我们证明了非参数估计的收敛性结果可以直接转化为产生式集的收敛性结果。
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英文标题：
《Prices, Profits, Proxies, and Production》
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作者：
Victor H. Aguiar, Roy Allen, Nail Kashaev
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最新提交年份：
2020
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分类信息：
一级分类：Economics 经济学
二级分类：Econometrics 计量经济学
分类描述：Econometric Theory, Micro-Econometrics, Macro-Econometrics, Empirical Content of Economic Relations discovered via New Methods, Methodological Aspects of the Application of Statistical Inference to Economic Data.
计量经济学理论，微观计量经济学，宏观计量经济学，通过新方法发现的经济关系的实证内容，统计推论应用于经济数据的方法论方面。
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英文摘要：
This paper studies nonparametric identification and counterfactual bounds for heterogeneous firms that can be ranked in terms of productivity. Our approach works when quantities and prices are latent rendering standard approaches inapplicable. Instead, we require observation of profits or other optimizing-values such as costs or revenues, and either prices or price proxies of flexibly chosen variables. We extend classical duality results for price-taking firms to a setup with discrete heterogeneity, endogeneity, and limited variation in possibly latent prices. Finally, we show that convergence results for nonparametric estimators may be directly converted to convergence results for production sets.
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PDF链接：
https://arxiv.org/pdf/1810.04697
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