Aggregate health care expenditure in the United States: evidence from cointegration tests

Unlike recent studies that are based on international cross-sectional series, this paper attempts to quantify the role of the determinants of aggregate health care expenditure per capita, using time-series data for the period of 1960–87 for the United States. The paper applies the relatively new procedures of unit root testing, cointegration and error-correction modelling. The evidence supports cointegration. Although, the results indicate that per capita income, age of the population, number of practising physicians, and public financing of health care are important determinants, the age structure of the population and number of practising physicians emerge as the major determinants of aggregate health care expenditure in the United States.     

The Formation of Fairness Perceptions in the Cooperation between Entrepreneurs and Universities

For entrepreneurs who intend to exploit university‐owned technologies, a cooperative relationship with the university is critical. This study aims to better understand this entrepreneur–university cooperation. A key factor influencing the quality of this cooperation is the fairness perception of the entrepreneur. However, little is known about how these fairness perceptions are formed in this context. Therefore, to increase insight in entrepreneur–university cooperation, this study explores the formation of fairness perceptions by entrepreneurs who cooperate with universities (in so‐called university spin‐offs). This study assesses how the rules these entrepreneurs employ to form fairness perceptions differ from fairness rules that have been established in previous studies on organizational justice. The results show that, in addition to established fairness rules, there are also fairness rules that are more specific to this entrepreneurial setting. These specific rules complement the established fairness rules to provide a more comprehensive understanding of the formation of fairness perceptions by entrepreneurs cooperating with a university. Moreover, this study explores to what extent different entrepreneurs form fairness perceptions differently and finds that both experience and relational capital of the entrepreneurs within the university are two key sources of heterogeneity. Overall, this study contributes to the literature by conceptualizing how entrepreneurs form fairness perceptions in cooperating with universities and how this extends established wisdom in organizational justice theory. Moreover, the rules identified in this study provide clues for entrepreneurs who wish to improve their collaboration with universities, and may also apply to the relationships between entrepreneurs and large corporations and between entrepreneurs and venture capitalists.     

Trust me,I'm your boss: Trust and power in supervisor–supervisee communication

This study examined employees' perceptions of trust, power and mentoring in manager–employee relationships in a variety of sectors, including health care, education, hospitality and retail. The main theoretical frameworks used were communication accommodation theory and social identity theory, in examining the manager–employee relationships from an in-group/out-group perspective. Computer-aided content analyses revealed a number of emergent communication and relationship themes that impact upon the level of ‘in-groupness’ and therefore trust in supervisor–supervisee relationships. While it may be illusory to believe that any organization can enjoy complete trust among its workforce, it is clear that certain communication characteristics can result in greater trust in manager–employee relationships, even within the context of organizational constraints. It is argued that the results of the study could be used to inform human resource management academics of key aspects of managerial communication that should be further researched, and also provide insights into the main communication skills that managers should focus upon to improve trust in the workplace.     

The raise method. An alternative procedure to estimate the parameters in presence of collinearity

Recently, Feng-Jeng (Qual Quant 42:417–426, 2008) has proposed the nested estimation procedure as another alternative from the practical point of view of the problem of multicollinearity. Although the nested estimation procedure can promise to avoid multicollinearity, it can also avoid important information by eliminating variables. We are presenting another alternative called the raise method, which keeps all the information which could be highly recommended in some cases. We apply our proposal to a known example and compare the results with the nested estimation procedure, the ridge regression and the principal components.     

Does IPM Have Staying Power? Revisiting a Potato‐producing Area Years After Formal Training Ended

Integrated pest management (IPM) potentially reduces pesticide use and costs of agricultural production. However, IPM is knowledge intensive and its spread may dissipate over time due to knowledge required for its effective implementation and to competing messages about pest control. We examine IPM spread and adoption several years after formal intensive IPM outreach efforts ceased in a potato‐producing region in Ecuador. We describe adoption patterns and sources of IPM knowledge in 2012 and compare them with patterns that existed when outreach ceased in 2003. Results show that IPM adoption continues in the area but with a lower proportion of farmers fully adopting all practices and a higher proportion adopting low to moderate levels as compared to 2003. Almost all potato farmers in the area use some IPM practices, reflecting a major increase in IPM use. Farmer‐to‐farmer spread has supplanted formal training and outreach mechanisms. IPM adoption significantly lowers pesticide use and saves production costs for adopters.     

Conditional value-at-risk: Aspects of modeling and estimation

This paper considers flexible conditional (regression) measures of market risk. Value-at-Risk modeling is cast in terms of the quantile regression function – the inverse of the conditional distribution function. A basic specification analysis relates its functional forms to the benchmark models of returns and asset pricing. We stress important aspects of measuring the extremal and intermediate conditional risk. An empirical application characterizes the key economic determinants of various levels of conditional risk. Received: September 30, 1999/Revised version: November 20, 2000