This paper investigates the 2013 threefold increase in the French dividend tax rate. Using administrative data covering the universe of firms from 2008 to 2017 and a quasi-experimental setting, we find that firms swiftly cut dividend payments and used this tax-induced increase in liquidity to invest more. Heterogeneity analyses show that firms with high demand and returns on capital responded most while no group of firms cut their investment. Our results reject models in which higher dividend taxes increase the cost of capital and show that the tax-induced increase in liquidity relaxes credit constraints, which can reduce capital misallocation. (JEL D22, G31, G35, H25, H32)

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.