Knowledge that Transforms

We collect 2,848 instrumental variable (IV) regressions from 391 papers published in top economics and finance journals and show that estimated IV coefficients are often much larger than their OLS counterparts, even when theory suggests they should be smaller. We derive meta-regression estimators that distinguish measurement error bias from omitted variable bias and simultaneity bias; applying our estimators to a set of 1,040 comparable regressions from 139 papers, we find that measurement error shrinks reported coefficients by about two to four times. Measurement error remains quantitatively important even after accounting for weak instruments, publication bias, instrument invalidity, and heterogeneous treatment effects. Our results suggest that measurement error is a severe, pervasive, and understated source of bias in economics and finance.

We study competition between two payment instruments: bank deposits and digital platform tokens. Using a Hotelling model that integrates the theory of two-sided markets and payment economics, we assess how this competition is affected by a public payment infrastructure that makes private payment instruments interoperable. We show that interoperability, whether implemented as a fast payment system (FPS) or a central bank digital currency (CBDC), may eliminate payment access exclusion and increase trade volumes and social welfare, but at the cost of some disintermediation. When new payment service providers (PSPs) enter and compete for consumers, they soften competition for merchants: incumbent intermediaries then charge merchants higher fees and earn higher profits. This contrasts with entry of PSPs on the merchant side, which disciplines incumbent fees instead.

What are the consequences of making central bank deposits accessible to actors beyond the banking sector? We collect novel micro data on deposit accounts historically held with the Bank of England by individuals and firms other than banks to study their role in the financial panic of 1866. We document that the use of deposit accounts at the central bank soared during the crisis, while commercial banks permanently lost funding. The expansion in the number of active accounts was fueled by individuals, but the intensive margin increase in balances came almost entirely from firms. Recourse to central bank deposits was heterogeneous and persisted well beyond the panic, reflecting easy access, low opportunity costs, and positive network externalities. At the same time, retail borrowers seeking liquidity support from the Bank during the crisis preferred receiving loan proceeds in the form of cash rather than deposits.

We study a large and unanticipated bank cleanup in India after prolonged zombie lending under regulatory forbearance. The cleanup forced widespread zombie exits through bankruptcy. In contrast to a frictionless world where entry automatically follows exit, we show that with financial frictions, local banking conditions shape creation after destruction. New firm entry occurs primarily in regions where banks are present, well-capitalized, competitive, and possess sectoral expertise. We further find a decline in the dispersion of total factor productivity in regions with stronger financial intermediation, consistent with a reduction in misallocation in such areas.

Using novel data from the GSE Credit Risk Transfer (CRT) market and the enactment of the 2020 CARES Act as a natural experiment, we study the ex-ante pricing of mortgage forbearance. We show that private investors demanded higher compensation for bearing mortgage credit risk following the introduction of federal mortgage forbearance. The increase in CRT spreads was larger for securities with greater exposure to judicial foreclosure regimes, lower expected house price growth, higher house price volatility, and riskier borrowers. These patterns suggest that investors priced heightened uncertainty regarding future collateral values and recovery outcomes. We find little evidence that the response was driven by broader financial market conditions, prepayment risk, servicer liquidity concerns, or strategic forbearance take-up. Our findings show how borrower-protection policies are transmitted to mortgage markets through the pricing of mortgage credit risk.

The rise in passively managed corporate debt funds has resulted in an increasingly inelastic demand for corporate debt. In this study, we quantify how passive debt ownership affects firms’ financial policy. Using fund-specific flows to capture firm-level changes in passive debt ownership that are exogenous to firm fundamentals, we find that firms respond to higher levels of passive debt ownership by increasing leverage. The borrower-friendly terms provided by passive debtholders could also theoretically lead to several potential changes in investment or payout policy. We show that passive debt holding does not affect investment policy. Instead, higher passive ownership predicts increased dividend payouts—even for firms far from index thresholds—exacerbating shareholder-debtholder conflicts. Passive debtholders enable these effects by reducing aggregate ex-ante and ex-post monitoring. The presence of a bank monitor moderates the relationship between passive debt ownership and increased payout, reinforcing the importance of this monitoring channel.

This study analyzes the wide dispersion in bid-ask spreads across clients in over-the-counter (OTC) markets. Our data detailed data comprise a dealing bank's complete trading record in a major OTC contract and include client IDs, seven client types, and precise markups. Average spreads are lowest for hedge funds (<1 basis point, bp) and highest for individuals and for small and medium enterprises (>50 bps). Regression results suggest that the primary source of variation is clients’ execution efficiency, meaning their ability to minimize execution costs. Efficient trading, which can require investments in knowledge and technology, has three dimensions: reliance on low-cost platforms; familiarity with market technologies, conventions, and negotiating strategies; and breadth of dealing relationships. Relations between proxies for client execution efficiency and client incentives to invest, such as trade frequency, are consistent with rational inattention.

Rapid growth of stablecoins has raised concerns about issuer default and spillover risks. To assess these risks, we model a stablecoin issuer facing persistent demand shocks. Absent regulation, the issuer holds little capital and favours interest-bearing but illiquid bonds over cash. This exposes coin-holders to default risk and poses spillovers via bond fire-sales. How can regulation mitigate these risks? Capital and liquidity thresholds can help, especially when introduced as usable buffers. The thresholds can be breached, providing flexibility. However, breaches trigger additional redemptions that discipline the issuer. The thresholds operate through asymmetric channels: the liquidity threshold raises only cash, whereas the capital threshold increases both capital and cash. Both thresholds mitigate default and spillover risks, making them substitutes when either risk is targeted separately but complements when both risks are targeted jointly. We provide a two-way mapping that helps derive capital-liquidity threshold combinations implied by chosen risk targets (and vice-versa).

We study the interaction of expansionary rate-based monetary policy and quantitative easing, despite their concurrent implementation, by exploiting heterogeneous banks and the introduction of negative monetary-policy rates in a fragmented euro area. Quantitative easing increases credit supply less when banks’ funding costs do not decrease simultaneously. Using administrative data from Germany, we uncover that among banks selling their securities, central-bank reserves remain disproportionately with high-deposit banks that are constrained due to sticky customer deposits at the zero lower bound. Affected German banks lend relatively less to firms while increasing their interbank exposure in the euro area.

The sensitivity of the external finance premium to firms’ net-worth-to-capital ratio is central to the strength of the financial accelerator, yet direct firm-level evidence remains scarce. We estimate this elasticity using balance sheet and income statement data for Swiss nonfinancial firms over 1998–2016. To address the endogeneity of net worth, we employ two complementary instrumental variable strategies: one based on firms’ non-operating income and the other a shift-share design that interacts predetermined exposure to financial income with aggregate dividend returns. Mapping the estimated elasticity into the costly state verification framework as implemented by Bernanke et al. (1999) yields structural monitoring costs of about one quarter of firms’ gross return on capital, with estimates ranging from 0.15 to 0.35 across specifications. Our results provide direct firm-level support for the financial accelerator mechanism and imply monitoring costs of the same order of magnitude as the benchmark calibration of Bernanke et al. (1999).