Peer Effects among Swimmers

We develop a novel identification strategy and examine various aspects of peer effects using swimming data. We find that the performance of adjacent competitors positively influences swimmers' performances. In particular, swimmers are influenced by slower‐lane peers, suggesting that being chased improves one's performance. We use absenteeism data to directly compare the performances of swimmers with and without peers. We have found that swimmers swim faster with peers swimming behind them than when swimming alone, but that they swim slower with peers swimming ahead. Finally, we find that observability is a key determinant of peer effects, by comparing freestyle and backstroke competitions.     

Modes of international activities and the innovativeness of firms: an empirical analysis based on the Japanese National Innovation Survey for 2009

We quantitatively examine the factors which account for differences in innovation output depending on the mode of international activities, employing the innovation accounting framework proposed by Mairesse and Mohnen [2001. To be or not to be innovative: An exercise in measurement. NBER Working Paper No. 8644. Cambridge, MA: National Bureau of Economic Research; 2002. “Accounting for Innovation and Measuring Innovativeness: An Illustrative Framework and an Application.” American Economic Review 92 (2): 226–230]. We find that internationally engaged firms use more innovation inputs and generate more innovation outputs. Firms with R&D establishments abroad show the best innovation performance. A significant part of the higher innovation performance of internationally engaged firms can be explained by their greater intra-firm knowledge spillovers, R&D intensity, perceived competitive pressure, and proximity to basic research. However, more importantly, our innovation efficiency analysis suggests that engagement in international activities increases the sales amount of innovative products though it does not necessarily raise the probability that a firm successfully develops a new product or process.     

Long-term cost-effectiveness of home versus clinic-based management of chronic heart failure: the WHICH? study

Background: The cost-effectiveness of a heart failure management intervention can be further informed by incorporating the expected benefits and costs of future survival.

Methods: This study compared the long-term costs per quality-adjusted life year (QALY) gained from home-based (HBI) vs specialist clinic-based intervention (CBI) among elderly patients (mean age = 71 years) with heart failure discharged home (mean intervention duration = 12 months). Cost-utility analysis was conducted from a government-funded health system perspective. A Markov cohort model was used to simulate disease progression over 15 years based on initial data from a randomized clinical trial (the WHICH? study). Time-dependent hazard functions were modeled using the Weibull function, and this was compared against an alternative model where the hazard was assumed to be constant over time. Deterministic and probabilistic sensitivity analyses were conducted to identify the key drivers of cost-effectiveness and quantify uncertainty in the results.

Results: During the trial, mortality was the highest within 30 days of discharge and decreased thereafter in both groups, although the declining rate of mortality was slower in CBI than HBI. At 15 years (extrapolated), HBI was associated with slightly better health outcomes (mean of 0.59 QALYs gained) and mean additional costs of AU$13,876 per patient. The incremental cost-utility ratio and the incremental net monetary benefit (vs CBI) were AU$23,352 per QALY gained and AU$15,835, respectively. The uncertainty was driven by variability in the costs and probabilities of readmissions. Probabilistic sensitivity analysis showed HBI had a 68% probability of being cost-effective at a willingness-to-pay threshold of AU$50,000 per QALY.

Conclusion: Compared with CBI (outpatient specialized HF clinic-based intervention), HBI (home-based predominantly, but not exclusively) could potentially be cost-effective over the long-term in elderly patients with heart failure at a willingness-to-pay threshold of AU$50,000/QALY, albeit with large uncertainty.     

Entrepreneurial processes in social contexts: how are they different, if at all?

Scholars have compared and contrasted commercial and social entrepreneurship along a variety of dimensions, suggesting that entrepreneurial antecedents and outcomes differ within a social context. However, little is known about whether entrepreneurial processes differ within social contexts. In this paper, we ask to what extent the antecedents and outcomes that make social entrepreneurship unique influence entrepreneurial processes. Using an inputs–throughputs–outputs framework, we assess the relationship between four antecedents (social mission/motivation, opportunity identification, access to resources/funding, and multiple stakeholders) and three outcomes (social value creation, sustainable solutions, and satisfying multiple stakeholders) to the dimensions of entrepreneurial orientation (innovativeness, proactiveness, risk-taking, competitive aggressiveness, and autonomy) (Lumpkin and Dess, Acad Manag Rev 21(1):135–172, 1996). Our analysis suggests that many entrepreneurial processes remain essentially the same or are affected only slightly. However, autonomy, competitive aggressiveness, and risk-taking are influenced to some extent by the presence of multiple stakeholders and access to resources/funding. Entrepreneurial processes may also differ when applied to efforts to satisfy multiple stakeholders and achieve sustainable solutions. We subsequently discuss the implications of our analysis for future social entrepreneurship research and practice.     

Appropriation Of Returns From Technological Assets And The Values Of Patents And R&D In Japanese High-Tech Firms †

This paper investigates the extent that technological assets contribute to the value of the firm, using the sample of 90 Japanese firms in pharmaceutical, chemical, and electrical equipment industries. We use the firm's R&D expenditures and the number of patents (in stock) as the measures of its technological assets and show that the relative usefulness of these two measures varies across industries. Particularly, Tobin's q is positively related to the technological assets most strongly in the pharmaceutical industry. It is also most sensitive in this industry to the level of patent stock, coinciding with the view that drug patents are more effective than other patents as a means of appropriating returns from innovation. The communications equipment industry is also characterized by its q's dependence on patent stock. In addition, this industry's q is particularly sensitive to the level of net R&D investment in the most recent year, presumably because of the rapid technological progress in this industry.     

Appraising Unhappiness in the Wake of the Great East Japan Earthquake

Considering the case of the Great East Japan Earthquake, we use the experienced‐utility approach to appraise the psychological distress from disaster‐related news. We take advantage of the serendipitous timing of our original nationwide weekly panel survey that became a fitting resource for the investigation of subjective well‐being in the immediate aftermath of the earthquake. Although all of Japanese society was affected, we found geographical heterogeneity between the affected areas (Sendai and Tokyo) and the unaffected areas in terms of mental costs. Our finding reminds us of the focusing effect (Kahneman et al., 2006 ; Dolan and Kahneman, 2008 ) as captured by Schkade and Kahneman ( 1998 ) in the maxim “Nothing in life is quite as important as you think it is while you are thinking about it”.     

Evaluating shifts in Japan's quality-of-life

This paper presents a Data Envelopment Analysis/Malmquist index (DEA/MI) analysis of the change in quality-of-life (QOL), which is defined as the state of a social system as measured by multiple social-indicators. Applying panel data from Japan's 47 prefectures for the period 1975–2002, we identify significant movement in the country's overall QOL using a “cumulative” frontier shift index. Results suggest that Japan's QOL rose during the so-called “bubble economy years” (second half of the 1980s), and then dropped in the succeeding “lost-decade” (1990s). We also identify those prefectures considered most “responsible” for the shift(s) in QOL. Moreover, the use of both upper- and lower-bound DEAs enabled an evaluation of both “good” and “bad” movements in QOL.