Abstract We develop a stylized model that generates the following empirical predictions: the less (more) accessible the underlying market is ex ante, the more its liquidity improves (deteriorates) when basket trading becomes available. We empirically test these predictions using corporate bonds before and after the introduction of exchange-traded funds. Consistent with the model’s prediction, liquidity improvement is larger for highly arbitraged, low-volume, and high-yield bonds, and for 144A bonds to which retail investor access is prohibited by law. Our article leads to a more nuanced understanding of the impact of basket security introduction than previous research suggested.

Paul W. Rhode of University of Michigan and NBER reviews “Plagues upon the Earth: Disease and the Course of Human History” by Kyle Harper. The EconLit abstract of this book begins: “Explores the ways that human history has shaped disease ecology and pathogen evolution and how disease ecology and pathogen evolution have shaped human history in turn, detailing how the emergence, incidence, and consequences of disease in both individuals and populations are inseparable from a wider array of social and environmental factors.”

The income maintenance experiments have received renewed attention due to growing international interest in a basic income. Proponents of a negative income tax (NIT) viewed it as a replacement for traditional welfare with stronger work incentives. However, existing labor supply estimates for single mothers (those eligible for welfare) are uniformly negative. We reassess the experimental evidence and find randomization failure in two NITs (Gary and Seattle). In Denver and Manitoba, we find positive labor supply responses for those on welfare before random assignment. Our results provide strong evidence that an NIT can increase work activity among single mothers on welfare.

The high social costs of financial crises imply that economists, policymakers, businesses, and households have a tremendous incentive to understand, and try to prevent them. And yet, so far we have failed to learn how to avoid them. In this article, we take a novel approach to studying financial crises. We first build ten case studies of financial crises that stretch over two millennia, and then consider their salient points of differences and commonalities. We see this as the beginning of developing a useful taxonomy of crises – an understanding of the most important factors that reappear across the many examples, which also allows (as in any taxonomy) some examples to be more similar to each other than others. From the perspective of our review of the ten crises, we consider the question of why it has proven so difficult to learn from past crises to avoid future ones.

Credit contractions are costly, but policymakers have limited tools to counter them. In this paper, we examine the efficacy of public credit guarantees as antidotes to a credit crunch by studying the Paycheck Protection Program (PPP). We find that the program averted a historic credit crunch at a time when banks were unlikely to meet firm credit needs by risking their own capital. Our evaluation incorporates selection effects emanating from banks’ participation decision on both the extensive and intensive margins. Risk-aversion, rather than profitability, motivated bank participation in the program. Indeed, even as the program boosted loan growth among participants, it attenuated profitability.

Abstract This paper is concerned with possible model misspecification in moment inequality models. Two issues are addressed. First, standard tests and confidence sets for the true parameter in the moment inequality literature are not robust to model misspecification in the sense that they exhibit spurious precision when the identified set is empty. This paper introduces tests and confidence sets that provide correct asymptotic inference for a pseudo-true parameter in such scenarios, and hence, do not suffer from spurious precision. Second, specification tests have relatively low power against a range of misspecified models. Thus, failure to reject the null of correct specification does not necessarily provide evidence of correct specification. That is, model specification tests are subject to the problem that absence of evidence is not evidence of absence. This paper develops new diagnostics for model misspecification in moment inequality models that do not suffer from this problem.

Using a dataset covering 3 million commercial borrower financial statements, we document a substantial, nearly monotonic decline in banks’ use of attested financial statements (AFS) in lending over the past two decades. Two market forces help explain this trend. First, technological advances provide lenders with access to a growing array of borrower information sources that can substitute for AFS. Second, banks are increasingly competing with nonbank lenders that rely less on AFS in screening and monitoring. Our results illustrate how technology adoption and changes in credit market structure can render AFS less efficient than alternative information sources for screening and monitoring.

We extend Jin and Myers’s (2006) model to derive the relation between stock price crash risk and operating leverage (i.e., the fraction of fixed costs in total costs). The model predicts that (1) firms’ operating leverage decreases as stock price crash risk increases and (2) the negative effect of crash risk on operating leverage is more pronounced when firms are closer to the crash threshold or when managers face higher costs of stock price crashes. We empirically test the model predictions using a large sample of manufacturing firms in the US and find consistent results. Further analysis shows that higher levels of crash risk lead to a less sticky cost behavior. In addition, crash risk–driven operating deleveraging effectively reduces stock return volatility and enhances operating performance in subsequent years. Collectively, our findings reveal that crash-prone firms adopt a more flexible cost structure to delay stock price crashes and mitigate adverse outcomes.