Attention Platforms,the Value of Content,and Public Policy

This paper shows that two related aspects of attention platforms are important for the sound economic analysis of public policy including antitrust: first, attention platforms generate valuable content. Even though people often don’t pay for content, we know from revealed preference that content is valuable because people spend a considerable amount of time—which has an opportunity cost—consuming it. Second, demand for advertising and the supply of content are interdependent. A decrease in the demand for advertising reduces the returns to supplying content and therefore the amount of content that is provided. Accounting for the value of content and these positive feedbacks cannot determine optimal interventions; but failing to do so can result in policies that reduce consumer—as well as advertiser—welfare. The paper then considers the implications of these considerations for public policy: particularly privacy regulation and antitrust enforcement. From the standpoint of promoting consumer welfare, the failure to account for the value of content and the ad-content interdependencies increases the chances that authorities do not intervene when they should and do intervene when they should not.

     

Towards the Development of a Tax System Complexity Index

Reducing tax system complexity is a common goal amongst policymakers; yet there is no commonly agreed definition of complexity. This paper seeks to fill this gap, by proposing the construction of an index of tax system complexity, conceived as a summary indicator of the overall complexity of a tax system at a particular point in time. If adopted, such an index would not only enable assessment of the changing level of a country's tax system complexity over time, but may also facilitate comparisons of the relative complexity of different countries' tax systems in future.     

Communication patterns in two UK R & D laboratories

The literature shows that two patterns of communication exist in an R&D environment, one dominated by a project system and the other directly related to distance. A study was made of the communication patterns of two laboratories about to merge. The study was able to show that differences do exist between the two laboratories, mainly because of the geographical differences on the two sites, but overall communication patterns were similar. These patterns showed that the number of communications did drop off with distance but work contacts and a project system override the distance factor.     

Tax Non-Compliance and Perceptions of Corruption: Policy Implications for Developing Countries

Tax non-compliance and perceptions of corruption are key challenges to state-building in developing countries. Using a social psychology approach, we develop a theoretical model in which different forms of perceived corruption can adversely influence the way individual taxpayers behave. We then apply this model to Indonesia, placing our empirical findings in the context of compliance risk management, identifying strategies to improve tax compliance, and exploring how to implement these strategies effectively. We shed light on the applicability of the traditional responsive regulatory approach (used by revenue authorities to deal with intentionally non-compliant taxpayers), which combines measures in attempting to achieve either voluntary or enforced compliance. While the empirical evidence is based on the Indonesian experience, we suggest that our model is sufficiently general and robust to be applicable to other developing countries in the Asia-Pacific region.     

Commitment and Cost of Equity Capital: An Examination of Timely Balance Sheet Disclosure in Earnings Announcements

In this paper, I examine the relation between disclosure commitment and cost of equity capital using accelerated earnings announcement disclosures as a measure of commitment. In settings characterized by imperfect market competition, I find that firms which consistently disclose balance sheet detail in relatively timely earnings announcements have lower costs of capital compared to other firms. This result is statistically significant and economically meaningful, and is robust to various alternative measurements for cost of capital, and alternative designs addressing endogeneity and underlying information quality. Overall, this result is important because it highlights additional dimensions of disclosure commitment (consistency and timeliness), while incorporating important features from theoretical models (information quality and market competition). In particular, my results suggest that consistency and timeliness are salient features of firms' disclosure behavior that have predictable and robust relations with capital market outcomes. This result is robust to controlling for underlying information quality; however, consistent with theory, it is conditional on low levels of market competition.     

Financial stability gap and private investment nexus: Evidence from sub-Saharan Africa

The illiquidity status of financial institutions widens up the financial stability gap, hence affecting other economic agents that depend on the financial sector. The objective of the study is to determine how the financial stability gap affects private investment in sub-Saharan Africa (SSA). Annual time series secondary data from 33 SSA countries for the period 2007–2018 was used. Using the general methods of moments (GMM) estimation technique, we found that the financial stability gap beyond 109.9% becomes detrimental to private sector investment while government effectiveness and investment by the government improve private investment. The study recommends that financial institutions undertake liquidity protection measures as a means of protecting the stability status, while SSA governments invest in the economy and provide the needed business environment for private sector investment.     

‘It Doesn't Matter How Big or Small You Are…There's a Position For You’: Body Image Among Female Tackle Football Players

The purpose of this study was explore the body image experiences of women who play tackle football. Data included semi-structured interviews with 15 players on a women's tackle football team in Western Canada. Data were analyzed thematically and objectification theory was used to interpret the findings. Themes that emerged included: a) improved body image through physical change, appreciation of function over appearance and shifting ideals of beauty; b) importance of a social atmosphere that celebrated diverse bodies; and c) negotiation of body image on and off the field. Research has documented a connection between body image and physically active leisure, but much about the nature of the relationship is still unclear. The findings of this study provide insight into elements of physically active leisure (e.g., social atmosphere or nature of the activity) which can be used to promote positive body image, health, and wellness in leisure settings.     

Predictive safety analytics: inferring aviation accident shaping factors and causation

This paper illustrates the development of an object-oriented Bayesian network (OOBN) to integrate the safety risks contributing to an in-flight loss-of-control aviation accident. With the creation of a probabilistic model, inferences about changes to the states of the accident shaping or causal factors can be drawn quantitatively. These predictive safety inferences derive from qualitative reasoning to conclusions based on data, assumptions, and/or premises, and enable an analyst to identify the most prominent causal factors leading to a risk factor prioritization. Such an approach facilitates a mitigation portfolio study and assessment. The model also facilitates the computation of sensitivity values based on perturbations to the estimates in the conditional probability tables. Such computations lead to identifying the most sensitive causal factors with respect to an accident probability. This approach may lead to vulnerability discovery of emerging causal factors for which mitigations do not yet exist that then informs possible future R&D efforts. To illustrate the benefits of an OOBN in a large and complex aviation accident model, the in-flight loss-of-control accident framework model is presented.