Using samples of restating and nonrestating U.S. firms, the study empirically investigates the relationship between the incidence of fraudulent financial reporting and accounting‐based performance outcomes. The outcomes are framed as gains and losses relative to a reference point, defined as the mean performance of industry peers. Consistent with cumulative prospect theory (CPT), the findings show that fraud incidence is positively (negatively) related to the probability of a loss (gain); more (less) sensitive to the probability of a loss (gain) (i.e., loss‐aversion); and more (less) sensitive to an extra unit of the probability at a high‐ or low‐ (medium‐) probability level (i.e., nonlinear probability weighting function). The study extends the fraudulent financial reporting literature by formulating fraud incidence as a function of performance outcomes using peer performance as a reference point. By testing CPT's individual‐level behavioral implications on firm‐level archival data, the study reconceptualizes the investigation of fraudulent financial reporting in terms of risk attitude and extends prior investigations of CPT from laboratory experiments to a real‐world setting of fraudulent financial reporting.

Are the less productive banks catching up to the more productive ones and, if so, how quickly and by what means? The objective of this study is to answer these questions by looking for convergence in productivity among bank holding companies (BHCs) in the US Past research has identified two major factors governing productivity in the banking sector – scale economies and X-efficiency. If the gains from scale economies decline with firm size and if the only difference between BHCs lies in their initial size, then the initially smaller BHCs should eventually catch up to the initially larger ones because the former tend to grow more quickly. However, the findings from this study do not support this hypothesis of “absolute convergence”. Indeed, the findings show strong evidence for “conditional convergence”, which means that the steady-state productivity to which a BHC is converging is conditional on the BHCs own level of X-efficiency. Conditional convergence implies that initial differences in X-efficiency among BHCs can, between them, create permanent differences in steady-state productivity.

Labor statistics show that the average labor hours per dollar of banking output fell by more than 30% between 1992 and 2002. The proliferation of labor-saving technologies was widely believed to be the major reason. While the first-round effect of a labor-saving technology with a given level of output is a reduction in required labor per unit of output, the second-round effect is a reduction in wage costs that will increase output. Analytically, a given type of labor-saving technology is more likely to have a positive effect on employment if the elasticity of substitution between capital and labor, the price elasticity of demand, and the cost-reducing impact of the new technology are sufficiently large. The main empirical findings of this study are that labor-saving technologies, and the spillovers of these technologies, are associated with higher firm-level employment. These results seem robust to a wide range of specifications and controls.