Policy options for the UK

In 1973 the Department of Trade and Industry has published a commissioned study of the effects on Britain of the inward flow of foreign direct investment. The present article summarizes some of the conclusions of this report, but is not meant to be a review of it, as it is written by its principal author.     

Information Quality and the Expected Rate of Return: A Structural Equation Modelling Approach

Asia-Pacific Financial Markets - We use structural equation modelling for a robust test of the role information quality plays in explaining the cost of equity capital (CoE). SEM allows us to...     

Determinants of Relative Sectoral Prices: The Role of Demographic Change

Demographic change raises demand for non‐tradable old‐age related services relative to tradable commodities. This demand shift increases the relative price of non‐tradables and thereby causes real exchange rates to appreciate. We claim that the change in demand affects prices via imperfect intersectoral factor mobility. Using a sample of 15 OECD countries, we estimate a robust increase of relative prices. According to our main estimate, up to one fifth of the average increase in relative prices between 1970 and 2009 can be attributed to population ageing. Further findings confirm the relevance of imperfect factor mobility: Countries with more rigid labour markets experience stronger price effects.     

Analysts’ annual earnings forecasts and changes to the I/B/E/S database

Review of Accounting Studies - I/B/E/S is a common source of analyst earnings forecast data, and the reliability of these data is important for practice and academic research. Examining a common...     

Potential implications of COVID-19 on the Canadian pork industry

Canada and the United States have strong economic ties and form part of an integrated North American pork industry. Canada's pork industry is export-oriented, and the United States represents a key market for both live pigs and pork. Pork value chain stakeholders include input suppliers, pig producers, transportation companies, slaughter plants, wholesalers, and retailers. There are three overriding areas of concern for the Canadian pork industry with respect to potential impacts of the current pandemic (COVID-19). The first is Canada/US trade and the ability to continue exporting Canadian live pigs and pork to the United States. The second is labor and the impact of potential absenteeism on all sectors of the pork value chain. The third is global trade, because Canada's pork industry relies heavily on exporting pork to markets around the world.     

Wird die Konjunkturkomponente der Schuldenbremse ihrer Aufgabe noch gerecht?

Wirtschaftsdienst - In der Debatte um die Schuldenbremse geht es zumeist um eine Grundgesetzänderung. Dabei ist ein wesentlicher Teil der Schuldenbremse — die Konjunkturkomponente,...     

Socioemotional wealth and IPO underpricing of family firms

Socioemotional wealth (SEW), i.e., the noneconomic utility a family derives from its ownership position in a firm, is the primary reference point for family firms. Family firms are willing to sacrifice economic gains in order to preserve their noneconomic utility. Thus, we argue that family firms sacrifice IPO proceeds by choosing higher IPO underpricing than nonfamily firms if underpricing helps them protect their SEW. Our empirical results, based on a sample of 153 German IPOs, support our hypothesis. On average, family firms have 10 percentage points more IPO underpricing than nonfamily firms. Copyright © 2014 John Wiley & Sons, Ltd.     

Clinical and economic benefits of professional CGM among people with type 2 diabetes in the United States: analysis of claims and lab data

Background: It is estimated that one in 10 people in the US have a diagnosis of diabetes. Type 2 diabetes accounts for 95% of all cases in the US, with annual costs estimated to be $246 billion per year. This study investigated the impact of a glucose-measuring intervention to the burden of type 2 diabetes.

Objective: This analysis seeks to understand how professional continuous glucose monitoring (professional CGM) impacts clinical and economic outcomes when compared to patients who are not prescribed professional CGM.

Methods: This study utilized a large healthcare claims and lab dataset from the US, and identified a cohort of patients who were prescribed professional CGM as identified by CPT codes 95250 and 95251. It calculated economic and clinical outcomes 1 year before and 1 year after the use of professional CGM, using a generalized linear model.

Results: Patients who utilized professional CGM saw an improvement in hemoglobin A1C. The “difference-in-difference” calculation for A1C was shown to be –0.44%. There was no statistically significant difference in growth of total annual costs for people who used professional CGM compared to those who did not ($1,270, p?=?.08). Patients using professional CGM more than once per year had a –$3,376 difference in the growth of total costs (p?=?.05). Patients who used professional CGM while changing their diabetes treatment regimen also had a difference of –$3,327 in growth of total costs (p?=?.0023).

Conclusion: Significant clinical benefits were observed for patients who used professional CGM. Economic benefits were observed for patients who utilized professional CGM more than once within a 1-year period or who used it during a change of diabetes therapy. This suggests that professional CGM may help decrease rising trends in healthcare costs for people with type 2 diabetes, while also improving clinical outcomes.     

Association between provider specialty and healthcare costs and glycemic control for patients with diabetes

Aims: To analyze the association between provider, healthcare costs, and glycemic control for patients with diabetes mellitus (DM).

Materials and methods: This cross-sectional study identified adults with type 1 or 2?DM (T1D, T2D) in the Optum database. The main independent variable was provider (endocrinologist or primary care). Regression analysis compared total medical and pharmacy costs, adjusting for health status and other patient differences, by provider.

Results: For all patients, HbA1C improvement was greater, and medical costs significantly lower with an endocrinologist rather than a primary care provider. The largest HbA1C improvement (4%) occurred for insulin-dependent patients seen by endocrinologists. Significant medical savings with endocrinologist management occurred within the Medicare Advantage population in every sub-group of patients, with 14% lower costs ($4,767) for patients with T1D, 11% lower costs ($3,160) for patients with macro- and microvascular complications, and 10% lower costs ($2,237) for insulin-dependent patients. Within the commercial insurance population, medical costs were reduced by ≥9% in every sub-group of patients, with a 20% reduction ($8,450) for patients with micro- and macrovascular complications. Overall total costs (medical and pharmacy) were 8% ($1,541) higher for patients receiving endocrinologist rather than primary care, although endocrinologist care resulted in a 9% reduction (–$3,710) in costs for Medicare Advantage patients with T1D. Total medical costs (excluding pharmacy costs) may be a more accurate indicator of costs associated with patients in various stages of DM.

Limitations: There was insufficient data to develop risk-adjustment payments for pharmacy costs based on disease severity. The cross-sectional design identifies associations and not cause–effect relationships.

Conclusion: DM management by an endocrinologist was associated with greater HbA1C improvement and significantly lower medical costs. Total costs were higher with an endocrinologist, but for patients with T1D lower costs were seen, ranging from 2–9% regardless of insurance type.     

Real option pricing with mean-reverting investment and project value

In this work, we are concerned with valuing the option to invest in a project when the project value and the investment cost are both mean-reverting. Previous works on stochastic project and investment cost concentrate on geometric Brownian motions (GBMs) for driving the factors. However, when the project involved is linked to commodities, mean-reverting assumptions are more meaningful. Here, we introduce a model and prove that the optimal exercise strategy is not a function of the ratio of the project value to the investment V/I – contrary to the GBM case. We also demonstrate that the limiting trigger curve as maturity approaches traces out a nonlinear curve in (V, I) space and derive its explicit form. Finally, we numerically investigate the finite-horizon problem, using the Fourier space time-stepping algorithm of Jaimungal and Surkov [2009. Lev´y based cross-commodity models and derivative valuation. SIAM Journal of Financial Mathematics, to appear. http://www.ssrn.com/abstract=972837]. Numerically, the optimal exercise policies are found to be approximately linear in V/I; however, contrary to the GBM case they are not described by a curve of the form V*/I*=c(t). The option price behavior as well as the trigger curve behavior nicely generalize earlier one-factor model results.