测试标记估计的生产方法

D. Raval
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引用次数: 45

摘要

在标记估计的生产方法下,任何可操作的输入都应该恢复标记。我使用来自智利、哥伦比亚、印度、印度尼西亚、美国和南欧的制造业数据集以及来自美国一家主要零售商的商店级数据来测试这一含义,并且压倒性地拒绝使用劳动力和材料估算的加价具有相同的分布。对于每个数据集,使用人工估计的加价与使用材料估计的加价负相关,表现出更大的分散性,并且具有相反的时间趋势。我继续发现,使用能源和非能源原材料估算的价差存在明显差异。企业间非中性的生产率差异可以解释这些发现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Testing the Production Approach to Markup Estimation
Under the production approach to markup estimation, any exible input should recover the markup. I test this implication using manufacturing datasets from Chile, Colombia, India, Indonesia, the US, and Southern Europe, as well as store-level data from a major US retailer, and overwhelmingly reject that markups estimated using labor and materials have the same distribution. For every dataset, markups estimated using labor are negatively correlated with markups estimated using materials, exhibit greater dispersion, and have opposite time trends. I continue to find stark differences in markups estimated using energy and non-energy raw materials. Non-neutral pro-ductivity differences across firms can explain these findings.
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