Abstract Prior literature and anecdotal evidence, most recently provided by allegations relative to Enron, Global Crossing, and WorldCom, suggest that failing firms (defined here as prebankruptcy firms) may be motivated to engage in fraudulent financial reporting to conceal their distress. I examine two research questions: (1) Are failing firms' prebankruptcy financial statements more likely to exhibit signs of material income increasing earnings manipulation than those of nonfailing firms? (2) Do auditors detect the overstatements in firms that they perceive to be failing? I predict and find that as (ex post) bankrupt firms that do not (ex ante) appear to be distressed approach bankruptcy, their financial statements reflect significantly greater material income‐increasing accrual magnitudes in nongoing‐concern years than do control firms. The accrual behavior of these firms resembles that of bankrupt firms that the Securities and Exchange Commission (SEC) has sanctioned for fraud. Like sanctioned firms, the nonstressed bankrupt firms display significantly greater (material) increases in receivables; inventory; property, plant, and equipment; sales; net working capital, current, and discretionary accruals in prebankruptcy nongoing‐concern years than do control firms. They also display significantly more negative changes in cash flows from operations and net cash and a greater disparity between accrual‐based net income and operating cash flows than do control firms, consistent with Lee, Ingram, and Howard 1999. Finally, I predict and find that these firms' going‐concern years reflect evidence consistent with auditor‐prompted reversal of previous overstatements. These results are based on parametric and nonparametric tests for various subsample combinations drawn from a sample of 293 bankrupt firms representing approximately 2,500 observations.

We present estimators for nonparametric functions that are nonadditive in unobservable random terms. The distributions of the unobservable random terms are assumed to be unknown. We show that when a nonadditive, nonparametric function is strictly monotone in an unobservable random term, and it satisfies some other properties that may be implied by economic theory, such as homogeneity of degree one or separability, the function and the distribution of the unobservable random term are identified. We also present convenient normalizations, to use when the properties of the function, other than strict monotonicity in the unobservable random term, are unknown. The estimators for the nonparametric function and for the distribution of the unobservable random term are shown to be consistent and asymptotically normal. We extend the results to functions that depend on a multivariate random term. The results of a limited simulation study are presented.

Abstract This paper examines the linkages between discretionary accruals (DAs), managerial share ownership, management compensation, and audit fees. It draws on the theory that managers of firms with high management ownership are likely to use DAs to communicate value‐relevant information, while managers of firms with high accounting‐based compensation are likely to use DAs opportunistically to manage earnings to improve their compensation. OLS regression results of 648 Australian firms show that (1) there is a positive association between DAs and audit fees; (2) managerial ownership negatively affects the positive relationship between DAs and audit fees; and (3) this negative impact is further found to be weaker for firms with high accounting‐based management compensation.

This study examines the effects of air quality regulation on economic activity. Anecdotal evidence and some recent empirical studies suggest that an inverse relationship exists between the stringency of environmental regulations and new plant formations. Using a unique county-level data set for New York State from 1980 to 1990, we revisit this conjecture using a seminonparametric method based on propensity score matching. Our empirical estimates suggest that pollution-intensive plants are responding to environmental regulations; more importantly, we find that traditional parametric methods used in previous studies may dramatically understate the impact of more stringent regulations.