We study the descriptiveness of the “unravelling” prediction in the 1890s streetcar industry. In this historical setting, capital-intensive streetcar companies gain the opportunity to disclose their earnings to dispersed investors via a new, quarterly newspaper supplement. We document that a quarter of the companies withhold their earnings from the first supplement, inconsistent with the “unravelling” prediction.
Utilizing transaction-level financial data, we explore how household consumption responded to the onset of the COVID-19 pandemic. As case numbers grew and cities and states enacted shelter-in-place orders, Americans began to radically alter their typical spending across a number of major categories. In the first half of March 2020, individuals increased total spending by over 40% across a wide range of categories.
U.S. universities have experienced a shift in research funding away from federal and towards private industry sources. This paper evaluates whether the source of funding -- federal or private industry -- is relevant for commercialization of research outputs. We link person-level grant data from 22 universities to patent and career outcomes (including IRS W-2 records). To identify a causal effect, we exploit individual-level variation in exposure to narrow federal R&D programs stemming from pre-existing field specialization.
We cast new light on the influence of pensions on labor supply. To do so, we compare the retention patterns of pension-eligible workers to those of pension-ineligible ones, allowing us to non-parametrically identify the counterfactual in large, administrative data. Pensions exert a retentive force as workers approach the eligibility threshold and apply strong expulsive pressure thereafter (since employees lose pension wealth by remaining employed once eligible).
Auctions are widely used in practice. While also extensively studied in the literature, most of the developments rely on the significant common prior assumption. We study the design of optimal prior-independent selling mechanisms: buyers do not have any information about their competitors and the seller does not know the distribution of values, but only a general class it belongs to.
We examine a Query Theory account of risky choice framing effects — when risky choices are framed as a gain, people are generally risky averse but, when an equivalent choice is framed as a loss, people are risk seeking. Consistent with Query Theory, frames affected the structure of participants’ arguments: gain frame participants listed arguments favoring the certain option earlier and more often than loss frame participants. These argumentative shifts mediated framing effects; manipulating participants initial arguments attenuated them.
Using US Census employer-employee matched data, I show that employer financial distress accelerates the exit of employees to found start-ups. This effect is particularly evident when distressed firms are less able to enforce contracts restricting employee mobility into competing firms. Entrepreneurs exiting financially distressed employers earn higher wages prior to the exit and after founding start-ups, compared to entrepreneurs exiting non-distressed firms. Consistent with distressed firms losing higher-quality workers, their start-ups have higher average employment and payroll growth.
Current accounting practice expenses many investments in intangible assets to the income statement, confusing earnings from current revenues with investments to gain future revenues. This has led to increasing calls to book those investments to the balance sheet. Drawing on the relevant research, this paper proposes solutions for the accounting for intangible assets that contrast with balance sheet recognition, and compares them to current practice and the IFRS standards that dictate practice.
The largest economic cost of the COVID-19 pandemic could arise from changes in behavior long after the immediate health crisis is resolved. A potential source of such a long-lived change is scarring of beliefs, a persistent change in the perceived probability of an extreme, negative shock in the future. We show how to quantify the extent of such belief changes and determine their impact on future economic outcomes. We nd that the long-run costs for the U.S. economy from this channel is many times higher than the estimates of the short-run losses in output.