Does an Audit Judgment Rule Increase or Decrease Auditors' Use of Innovative Audit Procedures?

The current audit environment encourages auditors to conduct defensive auditing procedures in lieu of using new, innovative, and potentially more effective audit procedures, due to concerns these procedures may be second-guessed in litigation or by audit inspectors such as the PCAOB. As a result, auditors may prefer traditional “generally accepted” procedures over innovative procedures that are potentially more effective. We test recent proposals that an Audit Judgment Rule (AJR) encourages the use of innovative, and potentially more effective, audit procedures analogous to the similar Business Judgment Rule that affords legal protections to corporate directors. Under an AJR, litigators or audit inspectors could not second-guess auditor judgments, even if they perceive that alternate judgments would have ordinarily been reached, provided the auditor's judgment was made in good faith and in a rigorous manner. However, the AJR's requirements that auditors must defend the rigor of their innovative judgments could potentially backfire and lead auditors to select more traditional procedures. Under the framework of goal activation theory, we conduct an experiment with audit managers and seniors and find that an AJR makes auditors less likely to select innovative audit procedures, particularly when audit risk is high. They do so despite believing the innovative procedures to be more effective than the traditional procedures. Findings from a supplementary experiment with experienced auditors further suggest that national office affirmation of the reasonableness of the procedures does not help overcome this effect. Overall, our findings suggest that an AJR may have the unintended consequence of further increasing auditors' focus on more traditional, and potentially less effective, audit procedures.     

Changes in tourists’ perception of well-being based on their use of emotion regulation strategies during vacation

ABSTRACT

Based on the theoretical foundation of emotion regulation, this exploratory study aimed to examine changes in tourists’ perceived well-being and to determine whether these changes were due to use of emotion regulation strategies (ERSs) during their vacation. This study used travel diaries to record tourists’ use of ERSs on a daily basis, and also measured tourists’ perceived well-being one day before and after their vacation. Results indicated that tourists had significantly higher perceptions of well-being after vacation, and those who used ERSs were more likely to indicate a higher sense of well-being after vacation. The results provide new insight into which aspects of tourists’ subjective and psychological well-being can be boosted by taking vacations and how these aspects may be enhanced by using different ERSs.     

Keeping anger in check: The role of personal and organizational characteristics on behavioral outcomes

ABSTRACT

The food and beverage sector of the hospitality industry is known for being an emotionally labor-intensive environment. The events that transpire over the course of a shift lead to various emotions, which ultimately dictate the behaviors of the employees working in this industry. Of particular interest to this study was the interplay between environmental antecedents (power and distributive justice) and their influence on a negative emotion (anger) and a positive emotion (affective organizational commitment). Additionally, this study sought to understand how anger and affective organizational commitment influenced positive (organizational citizenship behavior) and negative (counterproductive work behavior) workplace behaviors using the lens of the affective events theory. The results of this study revealed that anger had the strongest effect on counterproductive work behavior and that all of the relationships were significant except from anger to affective organizational commitment and affective organizational commitment to counterproductive work behavior.     

The non-linear impact of oil price on the oil demand

ABSTRACT

A panel smooth transition regression model was adopted to analyse the non-linear impact of oil prices on oil demand. Data for 42 countries was obtained from the International Energy Agency for the time period spanning from January 1990 to June 2017. The results indicate that a threshold value does exist. Furthermore, when the oil price was lower than this threshold value, a positive relationship between oil price and oil demand was observed. When the price of oil was higher than the threshold value, however, a negative relationship between price and demand was found.     

Where’s the Money? An Investigation into the Whereabouts and Uses of Australian Banknotes

The Reserve Bank of Australia is the sole issuer and redeemer of Australian banknotes, but between issuance and destruction there is little information about where banknotes go or what they are used for. We estimate the whereabouts and uses of Australian banknotes, and find that 15–35 per cent are used to facilitate legitimate transactions, 4–7 per cent are used for transactions in the shadow economy, while the remainder are non-transactional. The vast majority of non-transactional banknotes are likely to be hoarded, and we estimate that 5–10 per cent of outstanding banknotes are lost or collected.     

Optimal regulation under imperfect enforcement: Permits,tickets, or both?

Economic activity is often regulated through both permits and tickets (subsequent inspections). We study the effectiveness of such policies where corruption and an underground economy make enforcement imperfect. In the theoretical model, asymmetric information justifies regulatory action which is enforced by corruptible bureaucrats. We find that regulation through permits alone is useless when corruption exists, while tickets still offer some benefit. Surprisingly, we also find that a system with both permits and tickets achieves welfare that is higher than that which can be achieved with only tickets—that combining the two mechanisms has an effect that is greater than the “sum of the parts.”     

Humane Capital: A Reexamination of Catholic Social Teachings in Light of the Shift to Human Capital

Human capital is the set of productive knowledge, skills, and traits that individuals possess. Productive knowledge and skills are typically learned through education and work experience. Character traits matter both for the application of knowledge and skills and for their acquisition in the first place. In the past 100 years—and with enormous social consequences—the economy has transitioned to human capital being the most important resource for individual and social outcomes. Societies responded by emphasizing schooling as the means to develop this resource. In recent decades, however, researchers have discovered that human capital acquisition depends on certain character skills best developed early in life before schooling starts, typically within families. Current research and policy are investigating which combination of early life schooling and improvement in family circumstances can best help people acquire the character skills, and then human capital, needed to flourish. These changes have important implications for the social teachings of the Catholic Church, including moral insights into the distribution of resources, emphasis on the active subject in human work, and the role of civil society in promoting ideas and institutions conducive to an ideal human ecology.     

Cointegration and control: Assessing the impact of events using time series data

Control groups can provide counterfactual evidence for assessing the impact of an event or policy change on a target variable. We argue that fitting a multivariate time series model offers potential gains over a direct comparison between the target and a weighted average of controls. More importantly, it highlights the assumptions underlying methods such as difference in differences and synthetic control, suggesting ways to test these assumptions. Gains from simple and transparent time series models are analysed using examples from the literature, including the California smoking law of 1989 and German reunification. We argue that selecting controls using a time series strategy is preferable to existing data‐driven regression methods.