HEGY Tests in the Presence of Moving Averages*

We analyze the asymptotic distributions associated with the seasonal unit root tests of Hylleberg et al. (1990) for quarterly data when the innovations follow a moving average process. Although both the t‐ and F‐type tests suffer from scale and shift effects compared with the presumed null distributions when a fixed order of autoregressive augmentation is applied, these effects disappear when the order of augmentation is sufficiently large. However, as found by Burridge and Taylor (2001) for the autoregressive case, individual t‐ratio tests at the semi‐annual frequency are not pivotal even with high orders of augmentation, although the corresponding joint F‐type statistic is pivotal. Monte Carlo simulations verify the importance of the order of augmentation for finite samples generated by seasonally integrated moving average processes.     

The Relationship between Slack Resources and the Performance of Entrepreneurial Firms: The Role of Venture Capital and Angel Investors

In this study, we seek to further delineate factors that condition the relationship between slack resources and firm performance. To do so, we develop and test a model that establishes the role of venture capital (VC) and angel investors as powerful external stakeholders who positively moderate the slack–performance relationship. In addition, we provide more insight into this relationship by examining differences between these two types of private investors and by examining the role of their ownership stakes. We test our hypotheses using a sample of 1215 private firms, including VC‐backed firms, angel‐backed firms, and similar firms without such investors. We find that the presence of VC investors positively moderates the relationship between both financial and human slack resources and firm performance, while angel investors only positively moderate the effect of human resource slack. Further, VC investors are only marginally better at helping entrepreneurs to extract value from human resource slack than angel investors and they are no better when it comes to financial slack. Finally, we find that the impact of financial and human resource slack on firm performance is more positive in VC‐backed firms when investors hold high ownership stakes, an effect which is significantly stronger than when angel investors hold high ownership stakes.     

Information processing and leadership styles: Constructive thinking and transformational leadership

Transformational leaders increase job satisfaction and well‐being among workers. According to the cognitive‐experiential self‐theory (CEST), all behavior is guided by two information‐processing systems: a rational and an experiential system. Study 1 examined the relationship between information processing and transformational leadership among experienced school leaders (N = 183). The rational system had a strong positive correlation with transformational leadership, whereas the experiential system was weakly correlated. Study 2 (N = 126) examined constructive thinking and transformational leadership. Global constructive thinking, emotional coping, and behavioral coping all had strong positive correlations with transformational leadership. These results suggest that improving leaders' awareness of their own information‐processing and thinking systems might encourage more productive transformational‐leadership techniques.     

Sim-heuristics low-carbon technologies’ selection framework for reducing costs and carbon emissions of heavy goods vehicles

ABSTRACT

UK logistics fleets face increasing competitive pressures due to volatile fuel prices and the small profit margins in the industry. By reducing fuel consumption, operational costs and carbon emissions can be reduced. While there are a number of technologies that can reduce fuel consumption, it is often difficult for logistics companies to identify which would be the most beneficial to adopt over the medium and long terms. With a myriad of possible technology combinations, optimising the vehicle specification for specific duty cycles requires a robust decision-making framework. This paper combines simulated truck and delivery routes with a metaheuristic evolutionary algorithm to select the optimal combination of low-carbon technologies that minimise the greenhouse gas emissions of long-haul heavy goods vehicles during their lifetime cost. The framework presented is applicable to other vehicles, including road haulage, waste collection fleets and buses by using tailored parameters in the heuristics model.     

Model selection in random effects models for directed graphs using approximated Bayes factors

With the development of an MCMC algorithm, Bayesian model selection for the p ₂ model for directed graphs has become possible. This paper presents an empirical exploration in using approximate Bayes factors for model selection. For a social network of Dutch secondary school pupils from different ethnic backgrounds it is investigated whether pupils report that they receive more emotional support from within their own ethnic group. Approximated Bayes factors seem to work, but considerable margins of error have to be reckoned with.     

HYBRID INNOVATION IN MEIJI,JAPAN*

Japan’s hybrid innovation system during the Meiji era provides a useful laboratory for examining the effectiveness of complementary incentives to patents. Patents were introduced in 1885, and by 1911 1.2 million mostly nonpecuniary prizes were awarded at 8,503 competitions. Prizes provided a strong boost to patents, especially in less developed prefectures, and they also induced large spillovers of technical knowledge in prefectures adjacent to those with prizes, relative to distant control prefectures without prizes. Linking competition expenditures with the expected market value of patents induced by the prizes permits a cost–benefit assessment of the prize competitions to be made.     

Evidence on the purchasing power parity in a panel of cities

Evidence is provided on the PPP hypothesis using a sample of 50 Spanish cities for a long time period through the application of panel data unit root tests. Although results suggest non-rejection of the PPP, short-run deviations – as measured by half-lives – indicate that real factors might be causing a slow rate of convergence to a common price index, even in highly integrated economies.     

Means-Testing the Child Benefit

Improving the distributional impact of transfers may be costly if it reduces labor supply. In this paper we show how effects of changes in the design of the child benefit program can be examined by employing information from behavioral and non-behavioral simulations on micro data. The direct distributional effects are assessed by tax-benefit model calculations, while female labor supply responses to alternative child benefit schemes are simulated under the assumption that choices are discrete. Distributional effects after labor supply responses are also shown. The study confirms that greater targeting of the child benefit is traded against reductions in female labor supply.