We provide a new theory of exchange access fees that explains why fees relatively reduce the probability of execution and increase the limit order queue length on “maker-taker” platforms. Nonetheless, the limit order subsidy greatly improves market depth, together with market efficiency and trading volume. Moreover, fee structures never “wash out” regardless of the minimum tick. The regulatory requirement that trading and order flow depend only on raw (nominal) spreads and prices underpins the multi-billion-dollar subsidy to limit orders. So long as a platform remains competitive, elimination of the fee structure does not alter the raw spread, but it does lower the cum fee spread. We test these implications with a unilateral maker-taker fee/rebate reduction using NASDAQ's “quasi-natural” $1.9 trillion experiment to find support for our theory.

ABSTRACT The Organization for Economic Cooperation and Development introduced country‐by‐country reporting (CbCR) for multinational enterprises (MNEs) to help tax authorities combat tax‐motivated income shifting. This study uses confidential U.S. tax administrative data from 2011 to 2018 to examine the effect of U.S. CbCR adoption on the tax‐motivated income shifting and real activities of U.S. MNEs. We first document that while U.S. CbCR provides the Internal Revenue Service with incremental information about the location of U.S. MNEs’ global activities relative to existing U.S. tax return disclosures, substantial overlap exists between U.S. CbCR and existing disclosures. In contrast with prior CbCR studies in cross‐country settings, we fail to find evidence of a change in U.S. MNEs’ tax‐motivated income shifting or a reallocation of real activities based on tax incentives in response to U.S. CbCR using multiple empirical approaches. Overall, our study leverages U.S. tax administrative data to provide insights into the impact of the CbCR initiative on U.S. MNEs.

Abstract Satellite-based image classification facilitates low-cost measurement of the Earth’s surface composition. However, misclassified imagery can lead to misleading conclusions about transition processes. We propose a correction for transition rate estimates based on the econometric measurement error literature to extract the signal (truth) from its noisy measurement (satellite-based classifications). No ground-truth data are required in the implementation. Our proposed correction produces consistent estimates of transition rates, confirmed by longitudinal validation data, while transition rates without correction are severely biased. Using our approach, we show how eliminating deforestation in Brazil’s Atlantic forest region through 2040 could save $100 billion in CO2 emissions.

Abstract We examine the effects of a severe climate event on local firms. Our data include 8,218 business credit reports and a detailed survey of 273 businesses in the area affected by Hurricane Harvey. Delinquent credit balances doubled in areas with the worst flooding, although nonflooded areas also had significant credit impairments. Only independent businesses showed signs of distress; subsidiaries of larger firms did not. Firms were largely uninsured and often were denied credit postdisaster. Many funded recovery informally, such as through friends and family. Our findings suggest that several financial frictions compound the challenges posed by a severe climate event.

Abstract Using establishment-level data, we show that COVID-19 vaccinations boost business activity and firm performance in the United States. A 10-percent increase in vaccination rates results in a 4-percent to 6-percent increase in customer visits. We document the channels through which vaccinations increase store visits and the limits to the effect of vaccines on business activity. At the firm level, vaccinations increase sales and earnings, impact expansion decisions, and decrease probability of default, but the benefits vary across businesses. Vaccinations create private economic benefits to firms, shareholders, and employees, in addition to their intended public health benefits.

Abstract We investigate whether firm-level political connections affect the allocation of exemptions from tariffs imposed on $US 550 billion of Chinese goods imported to the United States annually beginning in 2018. Evidence points to politicians not only rewarding supporters but also punishing opponents: Past campaign contributions to the party controlling (in opposition to) the executive branch increase (decrease) approval likelihood. Our findings point to quid pro quo arrangements between politicians and firms, as opposed to the “information” channel linking political access to regulatory outcomes.

ABSTRACT Organizational structure information is deeply embedded in the different functional activities of accounting. This paper presents ORSO (ORganizational Structure Ontology), an ontology for describing organizational structures that can be reasoned with as part of accounting applications, developed following the principles and guidelines of design science research. ORSO allows the representation of key organizational constructs to meet internal and external accounting needs, including financial reporting requirements, analysis of an organization’s governance structure, economic analysis of agent and group performance, the definition and monitoring of controls, and responding to political and social inquiries about agents and other needs. A prototype is presented that demonstrates three possible types of applications of ORSO systems: (1) analysis of organizational structures, (2) accounting analysis through the integrated use of Resource-Event-Agent (REA) transaction data and ORSO specifications, and (3) constraint definition and monitoring. Data Availability: Additional information is available from the authors. JEL Classifications: M4.

How do collateral requirements impact consumer borrowing behavior? Using administrative loan application and performance data from the U.S. Federal Disaster Loan Program, we exploit a loan amount threshold above which households must post their residence as collateral. Our bunching estimates suggest that the median borrower is willing to give up 40% of their loan amount to avoid posting collateral. Exploiting time variation in the threshold, we estimate collateral causally reduces default rates by 36%. Finally, we structurally estimate households' attachment to their homes, net of any equity, and find a median value of $11,000. Attachment creates a wedge between lender and borrower valuation of collateral of 15%. Our results explain high perceived default costs in the mortgage market, and document the importance of collateral for reducing moral hazard in consumer credit markets.

Abstract We examine editors’ influence on the scientific content of academic journals by unpacking the role of three major forces: journals’ stated missions, the aggregate supply of and demand for specific topics, and scientific homophily via editorial gatekeeping. In a sample of top biomedical journals, we find the first two forces explain the vast majority of variation in published content. The upper bound of the homophily effect is statistically significant but practically much less important. Marginal changes to the composition of editorial boards do not meaningfully impact journals’ content in the short run. However, we cannot rule out persistent or pervasive frictions in the publication process.

ABSTRACT This article quantifies the effects of a multiday cyberattack that forced offline a technology service provider (TSP) to the banking sector. The attack impaired customers’ ability to send payments through the TSP, but the business continuity plans of banks and the TSP reduced the effect by more than half. Large banks performed better. Through contagion, banks not directly exposed to the attack experienced a liquidity shortfall, causing them to borrow funds or tap reserves. The ability to send payments after hours helped avoid further contagion. These results highlight the importance of preparedness by the private and official sector for cyberattacks.