Proliferation of Brewers’ Brands and Price Uniformity in Canadian Beer Markets

In this paper, we study retail pricing in Canadian beer markets, where access to the liquor distribution system and the retail price list is restricted by government ownership and control of the system. We consider alternative explanations for price uniformity in the differentiated beer products market. While an analysis of retail beer price data from six Canadian provinces for a 10-year period shows that no single explanation of price uniformity strongly dominates the others, some of the results are consistent with menu cost and demand uncertainty theories of price uniformity.     

Effective and Equitable Adoption of Opt-In Residential Dynamic Electricity Pricing

Time-varying retail electricity pricing is very popular with economists, but has little support among regulators and consumers. I propose an opt-in time-varying residential pricing plan that would be equitable to both customers who opt in and those who don’t. Low-income households would, on average, see almost no change in their bills under time-varying pricing, while low-consumption households would see their bills decline somewhat and high-consumption households would see their bills rise. Most importantly, I show that the opt-in approach is unlikely to increase the flat rate charged to other customers by more than a few percentage points.     

Identifying and characterising price leadership in British supermarkets

Price leadership is a concept that lacks precision. We propose a deliberately narrow, falsifiable, definition then develop it, illustrate its feasibility and test it using the two leading British supermarket chains. We find both firms engaging in leading prices upward over a range of products, with the larger being initially more dominant but the smaller increasing leadership activity to take overall leadership over time. However, more price leadership events are price reductions than price increases, consistently led by the smaller firm. Nevertheless, the increases are of larger monetary amounts than the falls, so average basket price increases over time.     

Firm‐specific human capital investments as a signal of general value: Revisiting assumptions about human capital and how it is managed

Research summary : Prior scholarship has assumed that firm‐specific and general human capital can be analyzed separately. This article argues that, in some settings, this is not the case because prior firm‐specific human capital investments can be a market signal of an individual's willingness and ability to make such investments in the future. As such, the willingness and ability to make firm‐specific investments is a type of general human capital that links firm‐specific and general human capital in important ways. The article develops theory about these investments, market signals, and value appropriation. Then, the article examines implications for human resource management and several important questions in the field of strategic management, including theories of the firm and microfoundations of competitive advantage. Managerial summary : While managers don't often use the terms firm‐specific and general skills, they certainly recognize that investments employees make in their skill sets are more or less relevant to a specific firm. For instance, investing in specific relationships within a firm or learning a firm's proprietary software would be considered firm‐specific investments. While such skills may seem relevant only to the particular firm in which they were invested, these investments may also send valuable signals to competing firms that such employees are willing and able to make similar investments elsewhere. Hence, managers should be interested in determining if a potential hire has made prior firm‐specific investments to help them know whether that person might be likely to make such investments in his or her future place of employment. Copyright © 2016 John Wiley & Sons, Ltd.     

Why Mortgage Borrowers Persevere: An Explanation of First and Second Lien Performance Mismatch

Borrowers with a pair of mortgages collateralized by the same property sometimes continue to make payments on one while defaulting on the other. We articulate a framework for understanding this performance mismatch that emphasizes two types of borrowers: those with stable equity positions who perceive they are facing moderate or temporary liquidity shocks, and those facing severe financial stress in combination with negative equity. The former have an incentive to enter mismatch and subsequently cure, while the latter would default on both contracts. Our empirical analysis using newly available, national samples of matched first‐ and second‐lien mortgages supports this view.     

Ownership concentration and product innovation in Chinese private SMEs

Product innovation is extremely important to the growth, success, and ultimate survival of firms. Although its unique features in small and medium-sized enterprises (SMEs) have gained growing attention in the literature, there is limited knowledge as to how ownership concentration moderates the relationship between product innovation and its determinants. Based upon insights from agency and institutional theories, we examine the moderating effects of ownership concentration on the relationship between product innovation and its key determinants in Chinese SMEs, utilizing a large dataset of 43,728 Chinese firms over the period 2005–2006. We focus on examining the differences between single-owner SMEs, where there is dominant control of one family member, and multiple-owner SMEs, where principal-agent conflicts and principal-principal conflicts are more likely to occur. Our findings indicate that single-owned firms tend to convert research and development into product innovation more efficiently than firms with multiple owners, who are typically better at utilizing external sources of knowledge and human capital.     

Why Do We Have Urban Density Controls?

Almost all urban land use controls reduce permitted densities. This article analyzes restrictions on residential densities in a conventional model of density–distance functions. Density controls force development to extend farther than in competitive equilibrium, thus increasing commuting distances and dwelling costs. Residents benefit if, as is likely, they prefer lower densities than in competitive equilibrium. But there is a limit to the extra commuting and housing costs that nevertheless make residents better off. Theoretical and numerical analyses are presented to show that likely parameter values almost certainly result in reductions in residents' welfare.     

Revisiting the Miles and Snow strategic framework: uncovering interrelationships between strategic types,capabilities, environmental uncertainty,and firm performance

The Miles and Snow strategic type framework is re‐examined with respect to interrelationships with several theoretically relevant batteries of variables, including SBU strategic capabilities, environmental uncertainty, and performance. A newly developed constrained, multi‐objective, classification methodology is modified to empirically derive an alternative quantitative typology using survey data obtained from 709 firms in three countries (China, Japan, United States). We compare the Miles and Snow typology to the classification empirically derived utilizing this combinatorial optimization clustering procedure. With respect to both variable battery associations and objective statistical criteria, we show that the empirically derived solution clearly dominates the traditional P‐A‐D‐R typology of Miles and Snow. Implications and directions for future research are provided. Copyright © 2004 John Wiley & Sons, Ltd.     

Adding Value to the Teaching and Learning of Design and Technology

It has been argued that design and technology can be used as a vehicle for teaching science and vice versa. In this paper, we report an investigation into Grade 6 students understandings of concepts embodied in the Systems strand of a technology syllabus as they grappled with a unit of work in technology for the first time. The unit of work involved students in the design and construction of simple systems, followed by experiences with more complex systems. Qualitative research methods were used to investigate the activities of the students as they engaged in the design and technology learning experiences for eight weeks. Data sources included student and teacher interviews, video and audio recordings of whole class and small group interactions, students notes, drawings and diagrams, and researchers field notes and reflections. Changes in students ability to identify the individual components and analyse how the components worked together in systems, and evidence of students use of scientific understandings for explanations, were noted as the unit of work progressed. An improvement was observed in students abilities to describe relationships between inputs, processes and outputs, and outline sequences of cause and effect. The technology and science appeared to be complementary as they developed technology specific and action-oriented technology and science language, which may be evidence of the presence of a community of learners. Recommendations are proposed for enhancing the value of both design and technology and science if both subjects are taught together as part of an integrated program in primary schools.     

Fractals in trade duration: capturing long-range dependence and heavy tailedness in modeling trade duration

Several studies that have investigated a few stocks have found that the spacing between consecutive financial transactions (referred to as trade duration) tend to exhibit long-range dependence, heavy tailedness, and clustering. In this study, we empirically investigate whether a larger sample of stocks exhibit those characteristics. We do so by comparing goodness of fit in modeling trade duration data for stable distribution and fractional stable noise based on a procedure applying bootstrap methods developed by the authors with several alternative distributional assumptions in modeling trade duration data. The empirical results suggest that the autoregressive conditional duration model with stable distribution fits better than other combinations, while fractional stable noise itself fits better for the time series of trade duration. Our result is consistent with the general findings in the literature that trade duration is informative and that short trade durations move prices more than long trade duration. In addition, our result confirms the advantage of fractal models in the study of roughness in trade duration and provides some evidence for duration dependence. S. Rachev’s research was supported by grants from the Division of Mathematical, Life and Physical Science, College of Letters and Science, University of California, Santa Barbara, and the Deutschen Forschungsgemeinschaft. W. Sun’s research was supported by grants from the Deutschen Forschungsgemeinschaft. P.S. Kalev’s research was supported with a NCG grant from the Faculty of Business and Economics, Monash University. Data are supplied by Securities Industry Research Center of Asia-Pacific (SIRCA) on behalf of Reuters. The first draft of this paper was presented at the International Conference on High Frequency Finance 2006; the authors would like to thank the conference participants for their valuable comments.