Leadership & Organizational Behavior

We analyze a model of hierarchies in organizations in which neither decisions nor the delegation of decisions is contractible and in which power-hungry agents derive a private benefit from making decisions. Two distinct agency problems arise and interact: subordinates make more biased decisions (which favors adding more hierarchical layers), but uninformed superiors may fail to delegate (which favors removing layers). A designer may remove intermediate layers of the hierarchy (eliminate middle managers) or flatten an organization by removing top layers (eliminate top managers).

We explore the relationship between the volatility of a firm's local environment and its organizational structure. Using micro-level data on managers working for a large retailer, we empirically test and provide support for our theory that a more volatile local environment results in more decentralization only when the need for coordination among sub-units is low. In contrast, more local volatility is associated with more centralization when coordination needs are high.

We argue that economists have studied the role of management from three perspectives: contingency theory (CT), an organization-centric empirical approach (OC), and a leader-centric empirical approach (LC). To reconcile these three perspectives, we augment a standard dynamic firm model with organizational capital, an intangible, slow-moving, productive asset that can be produced only with the direct input of the firm’s leadership and that is subject to an agency problem.

This article provides an applied introduction to Bartik instruments. The instruments attempt to reduce familiar endogeneity concerns in differential exposure designs (e.g., panel regressions with unit and time fixed effects). They isolate treatment variation due to the differential impact of common shocks on units with distinct pre-determined exposures. As a result, the instruments purge the treatment variation of possibly confounding factors varying across units over time.

We show that dealer market power impedes the pass-through of monetary policy in repo markets, which is an important first stage of monetary policy transmission. In the European repo market, most participants do not have access to trade on centralized exchanges. Rather, they rely on OTC intermediation by a small number of dealers that exhibit significant market power. As a result, the passthrough of the ECB's policy rate to repo markets is inefficient and unequal.

We provide an applied introduction to Bayesian estimation methods for empirical accounting research. To showcase the methods, we compare and contrast the estimation of accruals models via a Bayesian approach with the literature’s standard approach. The standard approach takes a given model of normal accruals for granted and neglects any uncertainty about the model and its parameters. By contrast, our Bayesian approach allows incorporating parameter and model uncertainty into the estimation of normal accruals.

We study the performance of many traditional and novel, text-based variables for in-sample and out-of-sample forecasting of oil spot, futures, and energy company stock returns, and changes in oil volatility, production, and inventories. After controlling for small-sample biases, we find evidence of in-sample predictability. Our text measures, derived using energy news articles, hold their own against traditional variables.

We examine how organizations of different types --public, non-profit and for-profit -- engage in consumer-benefiting misconduct (CBM) by examining which patients benefit from hospitals of the three types gaming the market for liver transplants. Consistent with our theory, we find that public firms are the least likely of the three organization types to engage in CBM.