度量(数据仓库)
分歧(语言学)
计量经济学
大数据
业务
经济
产业组织
计算机科学
数据库
数据挖掘
语言学
哲学
作者
Maryam Farboodi,Adrien Matray,Laura Veldkamp,Venky Venkateswaran
摘要
Abstract Since the finance industry is transforming into a data industry, measuring the quantity of data investors have about various assets is important. Informed by a structural model, we develop such a cross-sectional measure. We show how our measure differs from price informativeness and use it to document a new fact: data about large high-growth firms is becoming increasingly abundant, relative to data about other firms. Our structural model offers an explanation for this data divergence: large high-growth firms’ data became more valuable, as big firms got bigger and growth magnified the effect of these changes in size.
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