Firm profitability,regional unemployment and human capital in wage determination

This paper presents an analysis of wage formation in the Norwegian private sector using data for individual workers matched with firm level information and regional unemployment. A key issue is to test whether or not firm specific variables affect individual wages after controlling for individual specific factors and working conditions. The results imply positive effects of firm specific profitability and firm size. The elasticity of wages with respect to value added per worker and firm size is 5% and 3.3%, respectively. Empirical evidence of a downward sloping regional wage curve is also reported, while there is no support of the hypothesis of compensating wage differentials. Since data for three levels of aggregation are used, the OLS estimates of the standard errors are downward biased. Therefore, results using a random effects model are also reported, taking the multi-level structure of the data into account.     

Using an historical account book as a teaching tool

Historical account books from the 18th and 19th centuries are valuable historical documents reflecting the activities of individuals many years ago and shedding light on the way they lived. Such books can be used to teach accounting. From our experience, these books serve to motivate students to learn about the basic aspects of the accounting process. Students are curious about how a book of this nature was prepared, what specific purposes it served, and how it is similar to and different from modern account books. Using these books can also foster interdisciplinary instruction, i.e. accounting and history. Both subject areas relate to an account book. Attempting to explain and understand transactions requires some knowledge of the history of the period in which the book was prepared. In this study, specifics are given on the instructional approach we recommend. While a book of this kind can be used in different ways and degrees in a variety of accounting courses including introductory financial, intermediate, and advanced at the undergraduate and graduate levels, we focus in this case study on its use in introductory financial accounting.     

Quantifying the defensive medicine contribution to primary care costs

Background:

Defensive medicine represents one cause of economic losses in healthcare. Studies that measured its cost have produced conflicting results.

Objective:

To directly measure the proportion of primary care costs attributable to defensive medicine.

Research design and methods:

Six-week prospective study of primary care physicians from four outpatient practices. On 3 distinct days, participants were asked to rate each order placed the day before on the extent to which it represented defensive medicine, using a 5-point scale from 0 (not at all defensive) to 4 (entirely defensive).

Main outcome measures:

This study calculated the order defensiveness score for each order (the defensiveness/4) and the physician defensive score (the mean of all orders defensiveness scores). Each order was assigned a weighted cost by multiplying the total cost of that order (based on Medicare reimbursement rates) by the order defensiveness score. The proportion of total cost attributable to defensive medicine was calculated by dividing the weighted cost of defensive orders by the total cost of all orders.

Results:

Of 50 eligible physicians, 23 agreed to participate; 21 returned the surveys and rated 1234 individual orders on 347 patients. Physicians wrote an average of 3.6?±?1.0 orders/visit with an associated total cost of $72.60?±?18.5 per order. Across physicians, the median physician defensive score was 0.018 (IQR?=?[0.008, 0.049]) and the proportion of costs attributable to defensive medicine was 3.1% (IQR?=?[0.5%, 7.2%]). Physicians with defensive scores above vs below the median had a similar number of orders and total costs per visit. Physicians were more likely to place defensive orders if trained in community hospitals vs academic centers (OR?=?4.29; 95% CI?=?1.55–11.86; p?=?0.01).

Conclusions:

This study describes a new method to directly quantify the cost of defensive medicine. Defensive medicine appears to have minimal impact on primary care costs.     

Compulsory technology adoption and adaptation in education: A looming student privacy problem

Educational settings worldwide have a significant impact on the early use of digital devices and online media by children. Therefore, schools' educational technology (EdTech) adoption decisions may lead to long-term repercussions for students and society. The authors explore how schools make technology decisions on behalf of their students, focusing on the ways that privacy and data security are considered in technology adoption decisions and use. Adaptation-level theory helps to illustrate the growing dependence on technology in compulsory educational settings, the convenience of adopting digital tools, and the risks to children that result as they use and adapt to technology. Analysis of in-depth interviews and text analysis of public state reports indicate that confusion between information technology and EdTech consequentially leads to a “privacy-security chasm.” Findings highlight privacy-security challenges in K-12 school districts and the growing need to understand student privacy protection as part of children's digital well-being.     

A Simple Approach to Better Distinguish Real Earnings Manipulation from Strategy Changes*

Researchers typically infer real earnings management when a firm's operating and investing activities differ from industry norms. A significant problem with classifying deviations from industry averages as myopic earnings management is that companies can change their operating and investing decisions for strategic business reasons rather than to mislead stakeholders. Using principal components analysis, we systematically evaluate existing measures and develop a comprehensive real activities measure to better capture earnings manipulation. Our measure reflects (i) deviations from industry averages across multiple activities and (ii) other signals of manipulation. This approach is promising because, although there are many sources of abnormal activities, manipulation is more likely the cause when managers engage in multiple income-increasing abnormal activities that coincide with other signals that indicate an elevated risk of manipulation. This simple approach results in a metric that associates negatively with future operating performance and earnings persistence, yields high-power tests, and captures manipulation reasonably well across most life-cycle stages. Importantly, this approach performs better than the standard real earnings management metrics across all dimensions. Specifically, it generates the expected reduction in future earnings and reduced earnings persistence in 82% of the tests compared to 36% and 46% in common alternatives. Also, because this innovation does not require a long time-series or rely on future period realizations for classification, it can be useful in more research settings than other recent innovations in the literature.     

New approaches to measuring welfare

Economics has traditionally understood ‘welfare’ (what makes a life go well) as the satisfaction of preference. This conceptualisation of welfare is typically measured using revealed preferences, proxied through income and prices or stated in willingness-to-pay surveys. Recent decades have seen growing challenges to this paradigm. The climate crisis, among other phenomena, has called into question whether income and price data effectively proxy preferences, and willingness-to-pay surveys continue to struggle with accurately pricing important items such as biodiversity, digital goods, privacy and social connections. Preference satisfaction as a welfare criterion has also been challenged conceptually by psychologists and scholars working in the development space, among others. In this article, we review recent innovations in alternate ways of conceptualising and measuring welfare for the purposes of economic welfare analysis. We focus on using stated preferences over aspects of well-being, life-satisfaction scales and the WELLBY approach, and well-being frameworks such as Bhutan's Gross National Happiness Index. While not without weaknesses, these approaches also have marked strengths relative to the traditional approach.