Knowledge that Transforms

We consider an oligopoly model in which consumers engage in sequential search based on partial product information and advertised prices. By applying Weitzman's (1979) optimal sequential search solution, we derive a simple static condition that fully summarizes consumers' shopping outcomes and translates the pricing game among the sellers into a familiar discrete‐choice problem. Exploiting the discrete‐choice reformulation, we provide sufficient conditions that guarantee the existence and uniqueness of market equilibrium and analyze the effects of preference diversity and search frictions on market prices. Among other things, we show that a reduction in search costs raises market prices.

Individual producers exhibit enormous heterogeneity in many dimensions. This paper develops a theory in which the network structure of production—who buys inputs from whom—forms endogenously. Entrepreneurs produce using labor and exactly one intermediate input; the key decision is which other entrepreneur's good to use as an input. Their choices collectively determine the economy's equilibrium input–output structure, generating large differences in size and shaping both individual and aggregate productivity. When the elasticity of output to intermediate inputs in production is high, star suppliers emerge endogenously. This raises aggregate productivity as, in equilibrium, more supply chains are routed through higher‐productivity techniques.

This paper proposes a new semi‐parametric identification and estimation approach to multinomial choice models in a panel data setting with individual fixed effects. Our approach is based on cyclic monotonicity, which is a defining convex‐analytic feature of the random utility framework underlying multinomial choice models. From the cyclic monotonicity property, we derive identifying inequalities without requiring any shape restrictions for the distribution of the random utility shocks. These inequalities point identify model parameters under straightforward assumptions on the covariates. We propose a consistent estimator based on these inequalities.

de Groot, Richter, and Throckmorton, 2018 argue that the model in Basu and Bundick, 2017 can match the empirical evidence only because the model assumes an asymptote in the economy's response to an uncertainty shock. In this Reply, we provide new results showing that our model's ability to match the data does not rely either on assuming preferences that imply an asymptote nor on a particular value of the intertemporal elasticity of substitution. We demonstrate that shifting to preferences that are not vulnerable to the Comment's critique does not change our previous conclusions about the propagation of uncertainty shocks to macroeconomic outcomes.

We introduce firm and worker heterogeneity into a model of innovation†driven endogenous growth. Individuals who differ in ability sort into either a research activity or a manufacturing sector. Research projects generate new varieties of a differentiated product. Projects differ in quality and the resulting technologies differ in productivity. In both sectors, there is a complementarity between firm quality and worker ability. We study the co†determination of growth and income inequality in both the closed and open economy, as well as the spillover effects of policy in one country to outcomes in others.

In multi‐task environments, the efficiency of aggregating managerial performance information and the degree of customization/standardization are closely related. Aggregation without information loss (i.e., statistically sufficient) requires at least as many measures as there are effective tasks (which arise through a task aggregation process analogous to that applied to homogeneous activities in activity‐based costing) and can be used uniformly for evaluation across similar jobs. Aggregation without economic loss (i.e., economically sufficient) can be achieved with a single performance measure but requires customization even across similar jobs. The main implication is that job complexity, the number of aggregate performance measures, and the degree of customization in performance measurement are interrelated. In particular, at the same level of performance measure aggregation, we predict highly customized performance evaluation in complex multi‐task jobs and standardized (uniform) performance evaluation only in simpler jobs with fewer tasks. We discuss additional empirical implications in the conclusion.

When subject matter experts are consulted during an audit, the quality of the expert's advice depends upon their ability to fully understand and incorporate client‐specific facts into their advice. Public Company Accounting Oversight Board (PCAOB) inspection reports suggest that auditors are neglecting to perform the required work to assess the quality of experts' recommendations. This study examines how characteristics of the audit, notably staffing decisions, can impede auditors' ability to discern advice quality. In an experiment, we examine how receiving advice of different levels of quality (lower or higher incorporation of relevant client facts) and awareness at the planning stage of the use of a subject matter expert (a priori aware or unaware) impacts auditors' effort, utilization of the advice, and judgment accuracy. We find that awareness of an expert being employed led to a social facilitation effect such that auditors who were a priori aware put forth more effort prior to receiving the expert advice and were initially in less agreement with management's aggressive revenue recognition position than auditors who were unaware. Upon receiving the expert advice, auditors who were a priori aware were more accurate than auditors who were unaware. These results should interest both audit regulators and practitioners by demonstrating how the timing and communication of consulting decisions affect auditors' assessments of advice received from subject matter experts.

Academics and practitioners have long recognized the importance of a firm's industry membership in explaining its financial performance. Yet, contrary to conventional wisdom, recent research shows that industry‐specific profitability forecasting models are not better than economy‐wide models. The objective of this paper is to further explore this result and to provide insights into when and why industry‐specific profitability forecasting models are useful. We show that industry‐specific forecasts are significantly more accurate in predicting profitability for single‐segment firms and, to some extent, for business segments. For multiple‐segment firms, the aggregation of segment‐level data for external reporting of firm‐level financials obliterates the industry effects of their segments.

In this paper, we evaluate the common assumption that European Union (EU) firms began using international financial reporting standards (IFRS) in 2005 when the EU formally adopted IFRS. Although the incidence of firms using local (or some other) GAAP declined between 2005 and 2012, it is still non‐trivial. By 2012 the incidence of non‐IFRS financial statements was still in excess of 17 percent (87 percent of which were fully consolidated). We estimate a model of the non‐adoption of IFRS as a function of implementation features of the IFRS regulation, country‐specific enforcement, and firm‐specific reporting incentives. As expected, being specifically required by EU‐wide and country‐specific rules to adopt IFRS is positively associated with IFRS adoption but does not constitute a complete explanation. Proxies for enforcement are significantly associated with non‐adoption, but the marginal effects of the enforcement variables are weak. We find that larger firms, firms with foreign operations and more analyst following, and firms that issue new debt and equity were more likely to adopt IFRS, both when the regulation was initially imposed and in subsequent years. We conclude that many EU firms do not use IFRS; that some firms exploited definitions, exemptions, and deferrals to avoid adopting IFRS while some firms simply failed to comply with the regulation; and that firms responded to their incentives in deciding whether to adopt IFRS.

This paper investigates whether a U.S. circuit court ruling that made it easier for public corporations to defend against security class actions led to more misreporting. In a difference‐in‐differences framework, I find an increase in restatements for firms affected by the ruling relative to unaffected firms. Furthermore, within affected firms, these results are concentrated among those that experienced the lowest abnormal returns in response to the ruling, the firms most likely to face meritorious litigation, and among those firms that saw decreases (increases) in dedicated (transient) institutional ownership after the ruling. Inferences are similar examining cross‐sectional tests in a levels framework. These results suggest that the threat of shareholder litigation can discipline managerial reporting practices and deter misreporting. As such, this evidence informs the debate about the role of securities class actions in regulating securities markets.