Cost Analysis of Calcium in Store Brand versus National Brand Grocery Products

Objective: This study was to determine if calcium fortification yields a higher price per serving in grocery store products. Researchers compared store brand to national brand grocery products in relation to cost in order to examine if calcium values were similar between store brand and national brand products. Methods: A total of 112 store brand and 211 national brand grocery products were collected from three low (national chain store), middle and high priced (Virginia and North Carolina regional store) grocery venues. Products were compared using price and calcium percentage per serving. ANOVA was used to determine between store brand and national brand for price per serving and calcium content, and between grocery venues. Results: National brand fortified products had a significantly lower mean price per serving when compared to national brand non-fortified products (p = 0.0002). There was no statistical difference between store brand fortified and non-fortified products (p = 0.9256). Low priced store brand products had the lowest mean price per serving ($0.34 ±0.24). Conclusions: This study found store brand products have similar calcium content as national brand products. Product cost was lower at low priced store compared to middle and high priced stores.     

Bagging bundle benefits in broadband and media mergers: Lessons from Sky/Vodafone for antitrust analysis

The historic precedents in telecommunications antitrust findings have tended towards finding harm to competition when network operators integrate downstream and bundle the provision of applications and services. The reason for this is that market power in network provision is thought to be extended into the applications market(s). More recently however, proposed mergers have been between telecommunications and media distribution firms, both of whom have some degree of market power, already sell their own services in bundles, and who may or may not have been offering combined bundles already via contractual agreements. Examples include Sky/Vodafone in New Zealand, and Time Warner/AT&T in the United States as well as Vodafone/Unitymedia in Germany and Media Capital/Altice in Portugal. These complex proposed arrangements pose challenges to competition authorities, whose legal and procedural rules and precedents, especially those defining the relevant markets affected by the merger or vertical integration activity, have been developed from the analysis of simpler cases. These precedents may not be sufficient to analyse current cases, characterized by multiple products catering to heterogeneous consumer preferences, and consumers are not constrained to buying only one variant of the products in each of the upstream and downstream markets.We illustrate the challenges by way of a case study of the proposed merger between Sky and Vodafone, declined by the New Zealand Commerce Commission in February 2017. Limitations in existing market definition processes and the evaluation of market power where bundling already occurs risk overlooking complex demand-side interactions that influence the profitability and efficiency of various structural and contractual strategic choices. We propose that classic merger and antitrust analysis based on econometric cost-benefit analysis can be augmented by using simulation and numerical analysis of a range of bundle offers expected to be relevant in decision-making. We develop a simple model and use it to illustrate how it may be used to inform broadband and content mergers, and other complex antitrust cases, such the assessment of the effects of two-sided markets and firm pricing decisions.     

Social Capital and the Terms of Trade for Farmland

Social capital is a person or group's sympathy for or sense of obligation to another person or group. This article introduces social capital into a neoclassical model of farmland exchange and shows how relationships alter the terms of trade. Empirical evidence from a survey of farmers shows that the type of relationship farmland sellers have with farmland buyers has a statistically significant and economically important effect on the minimum-sell price for farmland. Compared to the minimum-sell price when selling to a total stranger in an arm's-length transaction, farmland sellers discount prices to friendly neighbors and relatives and require a premium from unfriendly neighbors and influential people in the community.     

Strategy in research design and hypothesis testing

The efficiency of a research design may be measured in terms of the degree to which knowledge is enhanced within given resource constraints. Thus, two different types of research design, even though they contain the same number of expected observations, may differ considerably in the amount of information provided. An example is the number N of 32 observations obtained with an analysis of variance witheither 2 factors, 2 levels per factor and a replication of 8or 4 factors, 4 levels per factor and a replication of 2. We analyze and compare the relative efficiencies of regression and variance analysis models and their implications to research strategy development. Three major considerations are evaluated: (1) short versus long time horizon (interval until effects of a decision are realized), (2) small versus large cost of erroneous rejection of the Null Hypothesis and (3) gross versus refined stage of development of the research study. A set of general guidelines towards improved designs is developed.     

Bringing the Future Forward: The Effect of Disclosure on the Returns-Earnings Relation

This paper studies how firm disclosure activity affects the relation between current annual stock returns, contemporaneous annual earnings and future earnings. Our results show that firms with relatively more informative disclosures "bring the future forward" so that current returns reflect more future earnings news. We also find that changes in disclosure activity are positively related to changes in the importance of future earnings news for current returns. These results suggest that a firm's disclosure activity reveals credible, relevant information not in current earnings, and that this information is incorporated into the current stock price.     

<Emphasis Type="Bold">Measuring the market response to going concern modifications: the importance of disclosure timing</Emphasis>

Auditor going concern modifications (GCMs) are intended to provide market participants with information related to financial distress, and prior research suggests that the disclosure of a GCM elicits a substantial negative market reaction from investors. In this study, we investigate the market reaction to GCMs in a contemporary disclosure regime and consider whether the observed market reaction is confounded by other material disclosures. We find that the majority of GCMs are issued concurrently with earnings announcements (EAs) and that EAs in the year of new GCMs elicit large negative cumulative abnormal returns (CARs). We also find that CARs surrounding GCMs are significantly more negative when GCMs are disclosed with EAs versus following EAs. We then evaluate whether GCMs convey distress that is incremental to EA disclosures by measuring i) the market reaction to GCMs disclosed following EAs, and ii) whether EA CARs are substantially more negative for companies disclosing GCMs with EAs as opposed to after EAs. In both cases, we find that the incremental market response to GCMs is statistically weak and much smaller in economic magnitude than is suggested by prior research. Finally, we find that management disclosures in EAs, rather than the presence of a GCM, appear to convey information that investors use to anticipate bankruptcy. Taken together, these findings suggest that GCMs are confounded by other significant disclosures and that the informational benefits of GCM reporting are significantly smaller than previously thought.     

Depreciation of Business R&D Capital

We develop a forward-looking profit model to estimate the depreciation rates of business R&D capital. By using U.S. government data between 1987 and 2007, and the newly developed model, we estimate both constant and time-varying industry-specific R&D depreciation rates. The results comprise a set of R&D depreciation rates for major U.S. high-tech industries. They align with the main conclusions from recent studies that the rates are in general higher than the traditionally assumed 15 percent and vary across industries. The relative ranking of the constant R&D depreciation rates among industries is consistent with industry observations and the industry-specific time-varying rates are informative about the dynamics of technological change and the levels of competition across industries. Lastly, we also present a cross-country comparison of the R&D depreciation rates between the U.S. and Japan, and find that the results reflect the relative technological competitiveness in key industries.