Combining information for prediction in linear regression

This article deals with the prediction problem in linear regression where the measurements are obtained using k different devices or collected from k different independent sources. For the case of k=2, a Graybill-Deal type combined estimtor for the regression parameters is shown to dominate the individual least squares estimators under the covariance criterion. Two predictors ŷ _c and ŷ _p are proposed. ŷ _c is based on a combined estimator of the regression coefficient vector, and ŷ _p is obtained by combining the individual predictors from different models. Prediction mean square errors of both predictors are derived. It is shown that the predictor ŷ _p is better than the individual predictors for k≥2 and the predictor ŷ _c is better than the individual predictors for k=2. Numerical comparison between ŷ _c and ŷ _p shows that the former is superior to the latter for the case k=2.     

Financial Distress in the Great Depression

We use firm‐level data to study corporate performance during the Great Depression era for all industrial firms on the NYSE. Our goal is to identify the factors that contribute to business insolvency and valuation changes during the period 1928‐1938. We find that firms with more debt and lower bond ratings in 1928 became financially distressed more frequently during the Depression, consistent with the trade‐off theory of leverage and the information production role of credit rating agencies. We also document for the first time that firms responded to tax incentives to use debt during the Depression era but that the extra debt used in response to this tax‐driven “debt bias” did not contribute significantly to the occurrence of distress. Finally, we conduct an out‐of‐sample test during the recent 2008‐2009 Recession and find that higher leverage and lower bond ratings also increased the occurrence of financial distress during this period.     

Enterprise Risk Management and the Financial Reporting Process: The Experiences of Audit Committee Members,CFOs, and External Auditors

The recent financial crisis has brought to the forefront the need for companies to effectively manage their risks. In this regard, one approach that has gained prominence is enterprise risk management (ERM). Importantly, little is known about the link between ERM and the financial reporting process. This link is critical, because it is imperative that financial reporting adequately depicts the financial status (e.g., valuations, estimates) and associated risks of a company as revealed by ERM. Additionally, from an auditing perspective, ERM affects the risks of misstatement, which should impact audit planning. Accordingly, the objective of this study is to examine the experiences of audit partners, CFOs, and audit committee (AC) members (“the governance triad”) on the link between ERM and the financial reporting process. To determine whether members of the governance triad focus on monitoring, strategy, or both, we also examine their definition of and experiences with ERM with respect to agency and/or resource dependence theory. To address these issues, we conduct semistructured interviews of experienced individuals that form the governance triads from 11 public companies. There are three major findings from our study. First, importantly, all three types of participants see a strong link between ERM and the financial reporting process. Second, despite recognition of the broad nature of ERM, the predominant experiences of the actual roles played by triad members center on agency theory, while resource dependence may be relatively underemphasized by all triad members. Finally, CFOs and AC members indicate that auditors may be especially underutilizing ERM in the audit process, suggesting an “expectations gap.”     

Education Crisis,Workforce Preparedness,and COVID‐19: Reflections and Recommendations

This article explores the impact of COVID‐19 on the higher education crisis and its implications for workforce preparedness and the future of work. It takes an integrative look at the evolving role of three primary actors involved in higher education: traditional universities, corporate universities, and educational technology companies, before, during, and after the pandemic. We conclude with recommendations for reframing discussions about higher education and workforce preparation to achieve a better balance between the workforce needs of the corporate world and those of society.     

Inference on Reliability in Two-parameter Exponential Stress–strength Model

The problem of hypothesis testing and interval estimation of the reliability parameter in a stress–strength model involving two-parameter exponential distributions is considered. Test and interval estimation procedures based on the generalized variable approach are given. Statistical properties of the generalized variable approach and an asymptotic method are evaluated by Monte Carlo simulation. Simulation studies show that the proposed generalized variable approach is satisfactory for practical applications while the asymptotic approach is not satisfactory even for large samples. The results are illustrated using simulated data.     

Us consumer product marketing in Saudi Arabia: Comparative perceptions

The period between 1970 and 1990 has seen a steady decline of the market share of US products in Saudi Arabia. This article deals with the differing perceptions of US exporters and Saudi importers regarding factors that might have contributed to this decline. These factors include the marketing environment, the product, the price, the distribution, US business practices, advertising, trade policies and the market situation in Saudi Arabia, and the role played by the US government. An analysis of these factors has led to a series of recommendations to respective governments and businesses.     

Waste Is Our Business,Inc.: The importance of non-financial information in the audit planning process

The objectives of this case are: (a) to alert students to the importance of non-financial information in the audit process; (b) to develop students’ ability to search for relevant financial and non-financial information in the audit planning process; and (c) to emphasize the importance of resisting the natural tendency to over-rely on financial information when conducting the financial statement audit. Students are asked to consider both financial and non-financial information when evaluating a client’s account balances. The client is in the waste business where there are a number of market, regulatory, and political factors that may affect the valuation of different accounts. Students are also directed to consider the importance of non-financial information in the integrated audit mandated by PCAOB Standard 5 and in fraud detection. The case can help students learn to explicitly consider non-financial information and understand the significance of integrating such information with financial data. The case is suitable for use in undergraduate or graduate auditing and assurance courses.     

Technical efficiency in paddy farms of Tamil Nadu: an analysis based on farm size and ecological zone

Despite the wider application of efficiency analysis in Indian agriculture, little has been done on the investigation of intra and interecological variations, size differences and their interactions. However, ecological issues have paramount implications for the low-input sustainable agricultural production. Furthermore, due to the various causes of efficiency, the age-old size-based debate on efficiency differences is not yet resolved. The present study examines the level of technical efficiency across ecological zones and farm size groups in paddy farms of the southern Indian state of Tamil Nadu. The study showed that 90% of the variation in output among paddy (IR-20) farms in the state is due to differences in technical efficiency. Land, animal power and fertilisers have significant influence on the level of paddy production. Varying from 0.59 to 0.97, the mean technical efficiency was found to be 0.83. The use of F-test in two-way analysis of variance (ANOVA) and censored regression (Tobit model), with dummies for ecological zones, farm size groups and their interactions, has shown that, at mean level, the level of technical efficiency among paddy farms of the state differs significantly across agro-ecological zones and size groups as well, The study further indicated that small-sized paddy farms in zone II and medium-sized paddy farms in zone III are represented by ecologically size-biased production techniques; thus achieving higher technical efficiency.     

Highest posterior mass prediction intervals for binomial and poisson distributions

The problems of constructing prediction intervals (PIs) for the binomial and Poisson distributions are considered. New highest posterior mass (HPM) PIs based on fiducial approach are proposed. Other fiducial PIs, an exact PI and approximate PIs are reviewed and compared with the HPM-PIs. Exact coverage studies and expected widths of prediction intervals show that the new prediction intervals are less conservative than other fiducial PIs and comparable with the approximate one based on the joint sampling approach for the binomial case. For the Poisson case, the HPM-PIs are better than the other PIs in terms of coverage probabilities and precision. The methods are illustrated using some practical examples.     

Scheduling sales force training: Theory and evidence

To have a productive sales force, firms must provide their salespeople with sales training. But from a profit-maximizing perspective, there are also reasons to limit training: training is expensive, it has diminishing returns, and trained salespeople need to be compensated at a higher level since their value in the outside labor market has increased. Due to these reasons, the following inter-related questions are not straightforward to answer: (1) How much training should be provided and how should training be scheduled over time? (2) How should compensation vary with training? (3) Should salespeople be asked to pay for some or all of their training? An analytical model is developed and analyzed using optimal control theory to provide answers to these questions. Thereafter, an empirical investigation is undertaken that broadly corroborates the analytical findings.