Studies proposing new determinants of corporate innovation include previously identified factors in an ad hoc manner. We find that only a sparse set of recently proposed innovation determinants provide material, independent information about patents and citations. We document that inferences in recent empirical studies often change when we include previously discovered innovation determinants. Commonly used econometric methods, including fixed effects and plausible shocks, do not always mitigate the need to condition on previously identified innovation determinants. Rather than randomly selecting a subset of control variables from prior studies, our analysis offers researchers a framework to consider previously proposed variables. (JEL G30, O30, G32, O34). Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.

We assess the effects of increased bank competition on macroeconomic and lending dynamics and on the transmission of monetary policy. Applying panel local projections to state-level data, we, in a first step, investigate the dynamic effects of fiercer bank competition induced by deregulation allowing geographical expansion of banks across state borders in the 1980s and early-1990s. We allow for possible adjustments before the new laws became effective due to potential anticipation effects. Our findings suggest that these events were anticipated and that they temporarily increased economic activity as well as business and consumer lending. We also find a permanent increase in real estate lending and house prices. In a second step, we show that the impact of monetary policy on economic activity, house prices and lending tended to become stronger after interstate banking deregulation.

SEC confidential treatment (CT) orders are regulatory exemptions that enable firms to redact proprietary information from SEC filings if the disclosure would cause competitive harm and if the information is immaterial to investors. This study examines the role of firms' political connections in the SEC's decisions to approve versus reject CT requests before and after Congressional intervention and internal SEC scrutiny into the CT process. CT requests from politically connected firms are less likely to be rejected before Congressional intervention and internal SEC scrutiny and are more likely to be rejected following these events. When the SEC rejects CT requests, firms must disclose the contents of the unapproved redactions. These disclosures are informative to investors, on average, and are less informative following Congressional intervention and internal SEC scrutiny. Together, these findings contribute to the literature on political influence in SEC oversight and disclosure regulation and provide unique evidence on the role of Congressional intervention in SEC decision making.

Armstrong et al. (2022) review the various econometric methods that have been used to draw causal inference in the accounting literature and offer an alternative method for conducting research when causal methods are not applicable. This discussion provides background for the emphasis on causal inference in accounting. It also draws parallels between the authors' proposed quasi-causal method and the structural estimation methods that have been used in finance and that are starting to be used in accounting.

We analyze reductions in bank credit using a natural experiment where unprecedented flooding in Pakistan differentially affected banks that were more exposed to the floods. Using a unique data set that covers the universe of consumer loans in Pakistan and this exogenous shock to bank funding, we find two key results. First, following an increase in their funding costs, banks disproportionately reduce credit to borrowers with little education, little credit history, and seasonal occupations. Second, the credit reduction is not compensated by relatively more lending by less-affected banks. The empirical evidence suggests that a reduction in bank monitoring incentives caused the large relative decreases in lending to these borrowers.

ABSTRACT I examine the effects of occupational licensing on the quality of certified public accountants (CPAs). I exploit the staggered adoption of the 150‐hour rule, which increases the educational requirements for a CPA license. The analysis shows that the rule decreases the number of entrants into the profession, reducing both low‐ and high‐quality candidates. Labor market proxies for quality find no difference between 150‐hour rule CPAs and the rest. Moreover, rule CPAs exit public accounting at similar rates and have comparable writing quality to their nonrule counterparts. Overall, these findings are consistent with the theoretical argument that increases in licensing requirements restrict the supply of entrants and do little to improve quality in the labor market.

This paper examines financial stress transmission between the U.S. and the Euro Area. To better understand the linkages between financial stress in the two regions, we construct a financial stress index for the U.S. similar to the Composite Indicators of Systemic Stress (CISS) that has been developed for the Euro Area with a focus on systemic risk. Using weekly data from 2000 to 2021 and Granger predictability in distribution test, we analyze stress transmission in “normal” times as well as under unusually high and low stress episodes. While we document unilateral transmission from the U.S. to the Euro Area under normal conditions based on the center of the distribution, tail dependence tests and impulse response analysis show significant bilateral transmission, particularly in unusually high financial stress episodes. This holds true for aggregate indices as well as the subindicators of financial stress in various financial markets. As such, there must be global efforts to contain financial crises and ensure a strong and resilient financial system.

Between 2010 and 2017, Chinese investors used an investor interactive platform (IIP) to ask public companies around 2.5 million questions, the vast majority of which received a reply within two weeks. We analyze these IIP dialogues using a BERT-based algorithm and provide preliminary evidence on their causes and consequences. Our analyses show most questions reflect investors’ difficulties in processing information already in the public domain. Controlling for other news, higher IIP activity is associated with increases in trading volume, return volatility, market liquidity, and price informativeness as well as decreases in bid-ask spread. Financial statement-related postings increase around the adoption of new accounting standards. Collectively, our results show that investors face significant information processing costs but that IIP activities help reduce these costs, leading to improvements in stock price formation.

We investigate the structure of mutual funds’ corporate governance preferences as revealed by how they vote their shares in portfolio companies. We apply unsupervised learning tools from the machine learning literature to analyze mutual funds’ votes and find that a parsimonious two-dimensional model can explain the bulk of mutual fund voting. The dimensions capture competing visions of corporate governance and are related to the leading proxy advisors’ recommendations. Cluster analysis shows that mutual funds are organized into three “parties”—the Traditional Governance Party, Shareholder Reform Party, and Shareholder Protest Party—that follow distinctive philosophies of corporate governance and shareholders’ role. Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.