Knowledge that Transforms

We investigate whether firms identified as potentially responsible parties (PRPs) under the Comprehensive Environmental Response, Compensation, and Liability Act (more commonly known as Superfund) appear to manipulate earnings to minimize their exposure to Superfund clean‐up and transaction costs. We analyze the discretionary accrual behavior of 612 PRPs from 1981 to 1995 and increase the power of our tests by identifying those PRPs with the most incentive to manage earnings during PRP identification years. The results provide robust evidence consistent with the hypothesis that these PRPs use income‐reducing discretionary accruals during PRP identification years in an attempt to minimize Superfund clean‐up and transaction costs. We also consider whether PRPs' incentives to manage earnings change in response to a change in the EPA regulatory regime and find modest evidence consistent with our conjecture.

Much research over the last 30 years has provided evidence that individuals display accounting fixation; that is, their cognitive process does not appropriately adapt to cross‐sectional or temporal differences in an accounting method. This paper presents the results of a quasi‐experimental test of the hypothesis that cognitive adaptation to a change in accounting method is an ordinal interactive function of three person characteristics: relevant accounting knowledge, general problem‐solving ability, and intrinsic motivation to appropriately engage in the decision task. Based on a product‐pricing decision task in which participants are provided with product costs reported by two generally employed product‐costing methods (activity‐based costing [ABC] and volume‐based costing), the results show that the majority of participants did not change their cognitive behavior when there was a change in the costing method. Further, those participants who did adapt to the change in accounting method, and thus avoided accounting fixation, did so by debiasing costs reported by volume‐based costing but not by ABC. Finally, these adapters generally exhibited high values for all three of the person characteristics compared with those who did not adapt.

This study examines the effect of independence threats and litigation risk on auditors' evaluation of information and subsequent reporting choices. Using a Web‐based experiment, I tracked auditors' information gathering and evaluation leading to a going‐concern reporting decision. Specifically, 48 audit managers assessed client survival likelihood, gathered additional information, and suggested audit report choices. I found that auditors facing high independence threats (fear of losing the client) evaluated information as more indicative of a surviving client and were more likely to suggest an unmodified audit report, consistent with client preferences. In contrast, auditors facing high litigation risk evaluated information as more indicative of a failing client and were more likely to suggest a modified audit report. In addition, the association between risk and report choice was fully mediated by final information evaluation. This suggests that it is unlikely that different reporting choices resulted from a conscious choice bias, but rather that motivated reasoning during evidence evaluation plays a key role in the effect of risk in auditor decision making.

The finance literature identifies two agency problems between managers and outside shareholders. First, there is a divergence‐of‐interests problem as management ownership falls. Second, there is an offsetting entrenchment problem when management ownership increases within intermediate regions of ownership. Agency problems are mitigated through contracting, but contracts are often based on accounting numbers prepared by management. Because accounting numbers must be reliable for contracts to be enforced, agency theory predicts a demand for higher‐quality auditors when agency problems are more severe. However, extant studies find no significant or robust relation between management ownership and audit firm size. In contrast to extant research, this study samples unlisted companies rather than listed companies for two reasons. First, the monitoring value of auditing may be higher in unlisted companies because they are less vulnerable to takeover and they are required to disclose much less nonaccounting information to shareholders. Second, unlisted companies have greater variation in management ownership, which permits more powerful tests of the demand for auditing as ownership varies between 0 percent and 100 percent. Consistent with a divergence‐of‐interests effect, the association between management ownership and audit firm size is found to be significantly negative within low and high regions of management ownership. The association is flatter and slightly positive within intermediate regions of management ownership, suggesting the existence of an opposite entrenchment effect. The negative association and the nonlinearity is consistent with the finance literature and with the predictions of agency theory.

We study the determinants of the location of subcontracted activity in a general equilibrium model of outsourcing and trade. We model outsourcing as an activity that requires search for a partner and relationship-specific investments that are governed by incomplete contracts. The extent of international outsourcing depends inter alia on the thickness of the domestic and foreign market for input suppliers, the relative cost of searching in each market, the relative cost of customizing inputs and the nature of the contracting environment in each country.

We propose a procedure for estimating the critical values of the extended Kolmogorov-Smirnov tests of Stochastic Dominance of arbitrary order in the general K-prospect case. We allow for the observations to be serially dependent and, for the first time, we can accommodate general dependence amongst the prospects which are to be ranked. Also, the prospects may be the residuals from certain conditional models, opening the way for conditional ranking. We also propose a test of Prospect Stochastic Dominance. Our method is based on subsampling and we show that the resulting tests are consistent and powerful against some N−1/2 local alternatives. We also propose some heuristic methods for selecting subsample size and demonstrate in simulations that they perform reasonably. We describe an alternative method for obtaining critical values based on recentring the test statistic and using full-sample bootstrap methods. We compare the two methods in theory and in practice.

We study how securities and issuance mechanisms can be designed to mitigate the adverse impact of market imperfections on liquidity. In our model, asset owners seek to obtain liquidity by selling claims contingent on privately observed future cash-flows. Liquidity suppliers can be competitive or strategic. In the optimal trading mechanism associated with an arbitrary given security, issuers with low cash-flows sell their entire holdings of the security, while issuers with high cash-flows are typically excluded from trade. By designing the security optimally, issuers can avoid exclusion altogether. We show that the optimal security is debt. Because of its low informational sensitivity, debt mitigates the adverse selection problem. Furthermore, by pooling all issuers with high cash-flows, debt also reduces the ability of a monopolistic liquidity supplier to exclude them from trade in order to better extract rents from issuers with lower cash-flows.

To study the detailed location patterns of industries, and particularly the tendency for industries to cluster relative to overall manufacturing, we develop distance-based tests of localization. In contrast to previous studies, our approach allows us to assess the statistical significance of departures from randomness. In addition, we treat space as continuous instead of using an arbitrary collection of geographical units. This avoids problems relating to scale and borders. We apply these tests to an exhaustive U.K. data-set. For four-digit industries, we find that (i) 52% of them are localized at a 5% confidence level, (ii) localization mostly takes place at small scales below 50 km, (iii) the degree of localization is very skewed, and (iv) industries follow broad sectoral patterns with respect to localization. Depending on the industry, smaller establishments can be the main drivers of both localization and dispersion. Three-digit sectors show similar patterns of localization at small scales as well as a tendency to localize at medium scales.

We model an OLG economy where productivity growth comes from two alternative sources: process innovation and learning-by-doing. There is a trade-off between the two in so far as frequent technological updates reduce the scope for learning on existing technologies. A conflict is shown to arise between the young and the old, because the former favor innovation while the latter prefer learning. We model the interaction between different generations and short-lived policy makers as a dynamic common agency problem, where competing generations invest a certain amount of resources to lobby either for the maintainance of the current technology or the adoption of a new one. By focusing on truthful Markov perfect equilibria, we characterize the political equilibrium and show its dependence on the underlying technological parameters.

In this paper we discuss Hicksian demand and compensating variation in the context of discrete choice. We first derive Hicksian choice probabilities and the distribution of the (random) expenditure function in the general case when the utilities are nonlinear in income. We subsequently derive exact and simple formulae for the expenditure and choice probabilities under price (policy) changes conditional on the initial utility level. This is of particular interest for welfare measurement because it enables the researcher to compute the distribution of compensating variation in a simple way. We also derive formulae for the joint distribution of expenditure, the choice before and after a policy change has been introduced.