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The use of choice-based, matched, and other stratified sample designs is common in auditing research. However, it is not widely appreciated that the data analysis for these studies has to take into account the non-random nature of sample selection in these designs. A choice-based, matched or otherwise stratified sample is a nonrandom sample that must be analyzed using conditional analysis techniques. We review five research streams in the auditing area. These streams include work on determinants of audit litigation, audit fees, auditor reporting in financially distressed firms, audit quality and auditor switches. Cram, Karan, and Stuart (CKS) (2009) demonstrated the accuracy of conditional analysis, compared to unconditional analysis, of nonrandom samples through the use of simulations, replications, and mathematical proofs. Papers since published have continued to rely upon questionable research, however, and it is hard for researchers to identify what is the reliability of a given work. We complement and extend CKS (2009) by identifying audit papers in selected research streams whose results will likely differ if the data gathered are analyzed using conditional analysis techniques. Thus research can be advanced either by replication and reanalysis, or by refocus of new research upon issues that should no longer be viewed as settled.

Freedman and Stagliano (2010) study the correlation between sample and matched companies’ revenues and toxic release. The sample companies were chosen based on inclusion in at least one of the three 2006 external reputational sources, which ascertain reputable sustainable companies. Their study uses descriptive statistics for “revenues” and mean difference test results for “toxic release inventory that is divided by revenues” of sample versus matched companies. The authors conclude, “We find no significant difference between the firms that are respected to be engaged in best practices with respect to sustainable development and those that have no such public recognition.” In this critique I suggest a contrary explanation. If one uses a descriptive analysis of the raw data instead of the mean difference test, one may conclude the opposite conclusion. The sample firms have higher revenues and their relevant revenues have lower toxic release inventories than matched firms. Thus, one interpretation is that sample firms were rewarded, by being able to generate more revenues than matched firms, so sample firms appear to be among the leaders in curbing toxic chemical waste.

This research explores whether Glassdoor's annual rankings of the Best Places to Work provide meaningful information to shareholders in identifying companies with the potential for superior future performance. Because their website reaches over 64 million unique visitors monthly, Glassdoor rankings can influence trading patterns. Glassdoor’s awards offer a unique way to analyze employees' feedback as there is no self-nomination process or cost involved, differentiating it from other measures of job satisfaction such as Fortune’s Best Companies to Work For survey.

We compare holding period returns of the Best Companies firms to the performance of the S&P 500 index and three separately constructed matched benchmark portfolios. We calculate cumulative raw, risk-adjusted, and abnormal returns based on a buy-and-hold strategy as well as by using the Fama-French (1993) 3-factor and 4-factor models. We also analyze whether selected companies have higher performance one year after the announcement. We control for possible endogeneity problems.

We find mixed evidence regarding the superiority of the Best Company firms in holding period returns and risk-adjusted measures compared to appropriate benchmarks. Longer-term cumulative raw returns show that they have higher annual returns compared with its benchmarks. The differences are not statistically significant on a raw or risk-adjusted basis.

The Best Companies sample is much larger than the matched sample, even with multiple matching methodologies. This difference is limited by the survey design as the employees of larger companies tend to post in Glassdoor survey. Also, since companies in the small Best Companies sample are private companies, comparing their stock performance with comparable companies is challenging.

Human resource management theories argue that job satisfaction results in enhanced corporate performance. However, verification of such satisfaction by a Glassdoor, as a third-party survey, does not necessarily lead to higher risk-adjusted share price performance.

We extend previous work that focuses on analyzing employee reviews to consider the impact of being ranked among the best companies on the survey. Second, we employ an extended set of financial performance measures to assess impact. Our analysis also employs a wider range of financial performance metrics and robustness tests.

We examine the use of relative performance evaluation (RPE), asymmetry in pay for skill/luck, and compensation benchmarking for a sample of firms involved in a spinoff. The spinoff affects firm characteristics that influence the use of the identified compensation practices. We test for differences in the compensation practices for the pre- and post-spinoff firms. We find that RPE is used for post-spinoff CEOs, but not pre-spinoff CEOs. Post-spinoff CEOs are also paid asymmetrically for luck where they are rewarded for good luck but not punished for bad luck. Both pre- and post-spinoff CEOs receive similar levels of compensation benchmarking. The study provides additional evidence on factors that influence compensation practices. Our spinoff sample allows us to examine how compensation practices are affected by changes in firm characteristics while keeping other determinants of compensation constant (i.e., the board and, in many cases, the CEO). Our findings contribute to the understanding of how the identified compensation practices are used.

This is a longitudinal study exploring the effect of ISO 9000 certification on firm's financial performance in the pre-crisis period and the 2008 financial crisis period.

The empirical analysis is based on a 22-year dataset with balance sheet data from 136 Greek listed firms covering the period 1992–2013. A matching technique is applied to properly estimate potential differences in the impact of ISO 9000 on firm's financial performance between the groups of certified and matched non-certified (control) firms in the entire period but, most importantly, in pre-crisis vs crisis periods, using the difference-in-differences econometric approach.

The findings indicate that certified firms exhibit significantly higher financial performance relative to the matched non-certified group in both the pre-crisis and crisis periods, which tends to persist for several years post-certification. The financial crisis has a negative and statistically significant effect on firm performance in both the certified and matched non-certified groups, which nevertheless did not differ significantly between them. Controlling for sectoral and technological differences did not harm the higher performance of certified firms relative to the matched control peers. The results remain in the same direction when the authors test the ISO 9000 effect in the sub-group of certified firms that obtained the certification at the firm-level.

The study is original in its sample design and hypothesis testing. The matched sample created from a sufficiently long and continuous time dataset enabled the authors to properly estimate firm performance differences of ISO 9000 between pre-crisis and crisis periods. Of additional value is the testing of sectoral/technological differences and the distinction between firm-level and plant-level certification.

The extent to which firms repatriate indefinitely reinvested foreign earnings (IRFE) has been a major issue in the US tax system. Congress enacted provisions in the 2017 Tax Cuts and Jobs Act (TCJA) specifically to remove tax barriers to repatriation. However, little is known regarding the repatriation of IRFE outside of the temporary tax incentive provided by the 2004 American Jobs Creation Act (AJCA). In this chapter, I provide evidence on such repatriations by identifying a sample of 67 firms from 2009 to 2015 that reverse the indefinite reinvestment designation of foreign earnings and announce a repatriation of foreign cash. In contrast to repatriations following the 2004 AJCA, I do not find evidence that a single economic factor, such as share repurchases, motivates the repatriation. Although, in general, I do not find evidence of a significant market response to the announcements, I find evidence of a negative market reaction to announcements by low foreign effective tax rate (ETR) firms without tax offsets, suggesting that the tax may not be fully priced. Overall, I provide insight into the reasons and implications of the announced repatriation of IRFE.

This study aims to examine the economic cost imposed by capital markets of section 1502 of the Dodd-Frank Act of 2010 on conflict minerals (CM). The authors analyse a sample of first-time CM disclosures made by US companies in 2010-2012.

The authors measure the market response to these disclosures and compare it to the response of a matched control sample of non-disclosers. An overall negative response could arise from regulatory costs, changes in management decision making, or customers' social concerns about CM. An overall positive response could reflect the benefits of disclosure transparency.

The authors find that the negative effects of the disclosures outweigh any positive effects. The authors also find more limited negative effects for the control sample, since they are likely to be future CM disclosers.

Because companies' balance sheets do not report these negative effects, the results imply that investors price supply chain activities related to CM as an off-balance sheet liability.

The results agree with companies' assertions of a substantial cost to implement the CM provision. The authors estimate an aggregate loss of shareholder value for the sample of $6.5 to $13.1 billion.

These results show that regulators' and stakeholders' demands for increased transparency can be costly to shareholders when the disclosures induce changes in management decision making and raise customers' social concerns about supply chain sustainability.

The study is the first to examine the economic effects of companies' initial disclosures about CM under the Dodd-Frank Act of 2010.

This paper aims to examine whether Andersen’s audit quality in the five years preceding its collapse lagged that of other Big-Five auditors.

This paper compares Andersen’s audit quality and the other Big-Five auditors using five methodologies, namely, earnings response coefficients, magnitudes of abnormal accruals, propensities to issue going-concern opinions, usefulness of going-concern opinions in predicting bankruptcy and the frequency of Accounting and Auditing Enforcement Releases. The comparisons are based on both pooled samples of all observations and propensity-score-based matched-pairs.

The preponderance of evidence shows that Andersen’s audit quality did not differ materially in audit quality from other Big-Five auditors prior to its failure. However, it was found that Andersen’s independence was compromised in the year leading to its collapse (2000), as indicated by the lower likelihood to issue going-concern opinions.

This paper complements and improves on Cahan et al. (2011) by using more measures of audit quality, as no one measure is perfect, showing that their results using discretionary accruals are sensitive to the model used and showing that there is a more powerful direct measure of audit quality, namely, going-concern opinions.

In the evaluation of most interventions in criminal justice settings, evaluators have no control over assignment to treatment and control/comparison conditions, which means that the treated and comparison groups may have differences that lead to biased conclusions regarding treatment effectiveness. Propensity score analysis can be used to balance the differences in the groups, which can be used in a number of ways to reduce biased conclusions regarding effectiveness. A review of propensity scoring studies was conducted for this chapter, where the limited number of evaluations of criminal justice interventions using these methods was identified. Due to the small number of these studies, research was also reviewed if propensity scoring had been employed to evaluate interventions that are similar to those in criminal justice systems. These studies are used as examples to demonstrate how the methods can be used to evaluate criminal justice interventions, the different ways propensity scores can be used to analyse treatment and comparison group differences, and the strengths and limitations of this approach. It is concluded that, while not appropriate for all interventions/settings, propensity score analysis can be useful in criminal justice arenas, at least to investigate the comparability of treatment and comparison groups, with suspected non-comparability being a common weakness of traditional quasi-experimental studies and frequently cited limitation in terms of drawing efficacy conclusions from such evaluations.

Makes a contribution to the debate surrounding the characteristics of “non‐exporting” (n = 203 firms) and “exporting” (n = 64 firms) new manufacturing and “producer services” small firms in Great Britain. It was appreciated that sample differences may overwhelm the exploratory analysis. Consequently, in order to overcome this potentially distorting influence a “matched pairs” methodology was also utilized. Forty‐two matched pairs of non‐exporting and exporting firms were identified (by age of the business, industry and location type). In total, data were collected on 146 variables covering the firm, the founder and the environment. Dichotomizing between the two types of firms the univariate analysis of the “matched samples” identified statistically significant differences with regard to only 14 variables (10 per cent). Additional multivariate analysis was conducted. Results from a logit regression model of the “matched samples” suggests new firms are “pushed” into “exporting” their sales abroad due to perceived shortages of local resources as well as intense local competition. Discusses the policy implications of the survey findings.