We assess substitutable and complementary relationships among eight national advertising media classes, as well as the magnitude of their own-price elasticities. We use a translog demand model, whose parameters we estimate by three-stage least squares, based on 1960-94 annual U.S. data.We find...

Because consumer reviews leverage the wisdom of the crowd, the way in which they are aggregated is a central decision faced by platforms. We explore this "rating aggregation problem" and offer a structural approach to solving it, allowing for (1) reviewers to vary in stringency and accuracy, (2)...

High rates of understatement are found for many government transfer programs and in many datasets. This understatement has major implications for our understanding of economic well-being and the effects of transfer programs. We provide estimates of the extent of under-reporting for ten transfer...

Concerns about the quality of China's official GDP statistics have been a perennial question in understanding its economic dynamics. We use data on satellite-recorded nighttime lights as an independent benchmark for comparing various published indicators of the state of the Chinese economy....

Previous research found that the initiation of Hospital Compare (HC) quality reporting had little impact on patient outcomes. However little is known about its impact on hospital prices, which may be significant since insurers are positioned to respond to quality information when engaging...

Nighttime lights data are a measure of economic activity whose error is plausibly independent of the measurement errors of most conventional indicators. Therefore, we can use nighttime lights as an independent benchmark to assess existing measures of economic activity (Pinkovskiy and...

We examine the long-term consequences of teacher discretion in grading of high-stakes tests. Bunching in Swedish math test score distributions reveal that teachers inflate students who have “a bad test day,” but do not to discriminate based on immigrant status or gender. By developing a new...

We model early expectations about the value and technological importance ('quality') of a patented innovation as a latent variable common to a set of four indicators: the number of patent claims, forward citations, backward citations and family size. The model is estimated for four technology...