Methods are proposed for testing stochastic dominance of any pre–specified order, with primary interest in the distributions of income. We consider consistent tests, that are similar to Kolmogorov–Smirnov tests, of the complete set of restrictions that relate to the various forms of stochastic dominance. For such tests, in the case of tests for stochastic dominance beyond first order, we propose and justify a variety of approaches to inference based on simulation and the bootstrap. We compare these approaches to one another and to alternative approaches based on multiple comparisons in the context of a Monte Carlo experiment and an empirical example.

This study examines the role of auditor industry expertise in the pricing of Big 5 audits in Australia. We test if the audit market prices an auditor's firm-wide industry expertise, or alternatively if the audit market only prices office-level expertise in those specific cities where the auditor is the industry leader. We document that there is an average premium of 24 percent associated with industry expertise when the auditor is both the city-specific industry leader and one of the top two firms nationally in the industry. However, the top two firms nationally do not earn a premium in cities where they are not city leaders. We further document that national leadership rankings are, in fact, driven by the specific offices where accounting firms are city leaders. Thus, the overall evidence supports that the market perception and pricing of industry expertise in Australia is primarily based on office-level industry leadership in city-specific audit markets.