Econometric analysis of productivity with measurement error: Empirical application to the US Railroad industry
Econometric analysis of productivity with measurement error: Empirical application to the US Railroad industry
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具有测量误差的生产率的计量经济学分析：在美国铁路行业的实证应用
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发表时间：
2013
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通讯作者：
Daniel Coublucq
中科院分区：
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作者：
Daniel Coublucq
本文分析了 1980 年至 2006 年期间美国铁路行业的生产率。我提出了一个增值生产框架来规避单项投入的测量误差问题。我发现有证据表明，总体生产率的提高可以归因于规模回报和资源重新调整到效率更高的企业。然而，在 1995 年至 2000 年期间，生产力在经历重要集中后放缓。我还研究了公司层面的生产力与运营环境之间的相关性。我的结果表明，未能控制遗漏价格变量偏差会导致生产率收益的高估。
This paper analyzes the productivity in the US rail industry for the period 1980 - 2006. I propose a value-added production framework to circumvent the problem of measurement error in one input. I find evidence showing that aggregate productivity gains can be attributed to returns to scale and the reshuffling of resources to more efficient firms. However, productivity slows down for the period 1995 - 2000 after important concentrations. I also look at the correlations between firm-level productivity and the operating environment. My results show that failing to control for the omitted price variable bias leads to an overestimation of productivity gains.