Can firm micro data match macro trends?

Matěj Bajgar, Giuseppe Berlingieri, Sara Calligaris, Chiara Criscuolo
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Abstract

Better understanding about the drivers of aggregate productivity and wage inequality requires data that offer a representative picture of the underlying firm-level heterogeneity but are, at the same time, able to reproduce patterns observed in aggregate data. The OECD MultiProd project aims to generate such data by collaborating with a network of national experts who apply a harmonised statistical code to representative business microdata across a large number of countries. This paper compares the project’s output to the OECD STAN database to test to what extent MultiProd data can be taken as reflecting the aggregate economies in question, and if they are able to reproduce patterns observed in aggregate data across years, industries and countries. The results suggest that (1) MultiProd captures a major part of gross output, value added and employment in most of the countries covered; and (2) MultiProd reproduces aggregate patterns relatively well, with median correlations over time, across industries and across countries between 0.75.
坚定的微观数据能匹配宏观趋势吗?
要更好地理解总生产率和工资不平等的驱动因素,需要提供具有代表性的企业层面潜在异质性图景的数据,同时能够重现在总数据中观察到的模式。经合组织的MultiProd项目旨在通过与一个国家专家网络合作产生这种数据,这些专家对许多国家的有代表性的商业微数据应用统一的统计代码。本文将该项目的输出与经合组织STAN数据库进行比较,以测试MultiProd数据在多大程度上可以反映所讨论的总体经济,以及它们是否能够再现在不同年份、行业和国家的总体数据中观察到的模式。结果表明:(1)在大多数被调查的国家,多项目占有总产出、增加值和就业的主要部分;(2) MultiProd相对较好地再现了总体模式,随着时间的推移,跨行业和跨国家的中位数相关性在0.75之间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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