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...

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...

In this paper, I argue that intangible capital is not a distinct input to production like physical capital or labor but rather it is the glue that creates value from other inputs. This perspective naturally leads to an empirical model in which intangible capital is defined in terms of adjustment...

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...

Reputation is critical to foster trust in online marketplaces, yet leaving feedback is a public good that can be under-provided unless buyers are rewarded for it. Signaling theory implies that only high quality sellers would reward buyers for truthful feedback. We explore this scope for...

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...

Conventional value-added models (VAMs) compare average test scores across schools after regression-adjusting for students' demographic characteristics and previous scores. This paper tests for VAM bias using a procedure that asks whether VAM estimates accurately predict the achievement...

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)...