Sheep as capital goods and farmers as portfolio managers: a bioeconomic model of Scandinavian sheep farming

A model analyzing the economics of sheep farming is formulated. The basic idea is simple. Sheep are capital and they are held by farmers as long as their capital value exceeds their slaughter, or meat, value. Farmers are therefore portfolio managers aiming to find the optimal combination of different categories of animals. Yields are compared with the yields from other assets. The model is formulated within a Northern Scandinavian economic and biological setting with a crucial distinction between the outdoors grazing season and the indoors season, and with adult sheep and lambs being different categories. In the first step, the management problem is analyzed with only the meat income of the farmers taken into account. In the next step, income from wool production is considered as well. The analysis provides several results that differ from standard harvesting theory.     

Co-branding on industrial markets

During the last decade branding has developed to be one of the main focus areas in consumer marketing. In the industrial marketing area there has only been limited attention to this phenomenon. In this paper we focus on how co-branding can be used on industrial markets to increase value. Through an empirical study of professional purchasers' attitudes towards co-branding activities between two companies, we explore the potential of this strategy.     

“Want to” Versus “Have to”: Intrinsic and Extrinsic Motivators as Predictors of Compliance Behavior Intention

“Worthless,” “money burning,” or “black holes” is how media and professionals describe compliance practices today. Practitioners are unenthusiastic about control systems, codes of conducts, and systems for compliance management that are increasing in volume but not in effectiveness. In order to help practitioners clarify what actually makes employees comply with their compliance program, this study examines intrinsic and extrinsic motivators of 119 employees from procurement and sales. We contribute to the existing motivation literature, testing the self‐determination theory in low and high hierarchical levels. Our findings show that intrinsic motivators are more strongly and positively related to compliance intention on higher hierarchical levels than the lower ones. However, employees from higher hierarchies show overall less compliance intention than employees from lower hierarchies. © 2015 The Authors. Human Resource Management published by Wiley Periodicals, Inc.     

Forecasting performances of three automated modelling techniques during the economic crisis 2007–2009

In this work we consider the forecasting of macroeconomic variables during an economic crisis. The focus is on a specific class of models, the so-called single hidden-layer feed-forward autoregressive neural network models. What makes these models interesting in the present context is the fact that they form a class of universal approximators and may be expected to work well during exceptional periods such as major economic crises. Neural network models are often difficult to estimate, and we follow the idea of White (2006) of transforming the specification and nonlinear estimation problem into a linear model selection and estimation problem. To this end, we employ three automatic modelling devices. One of them is White’s QuickNet, but we also consider Autometrics, which is well known to time series econometricians, and the Marginal Bridge Estimator, which is better known to statisticians. The performances of these three model selectors are compared by looking at the accuracy of the forecasts of the estimated neural network models. We apply the neural network model and the three modelling techniques to monthly industrial production and unemployment series from the G7 countries and the four Scandinavian ones, and focus on forecasting during the economic crisis 2007–2009. The forecast accuracy is measured using the root mean square forecast error. Hypothesis testing is also used to compare the performances of the different techniques.     

Climate Change,Innovation, and Economic Growth: The Contributions of William Nordhaus and Paul Romer

ABSTRACT

William Nordhaus and Paul Romer shared the 2018 Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel for their work on long-run macroeconomic analysis. Nordhaus adapted the neoclassical growth model to study climate change, while Romer developed a model of innovation-based growth. The authors provide two distinct explanations of what drives growth, and employ contrasting methodologies for interpreting the results of their mathematical models. Macroeconomic policy in general, and climate policy in particular, would benefit from better integrating the theory and methods of these two laureates.     

Likelihood-based inference for cointegration with nonlinear error-correction

We consider a class of nonlinear vector error correction models where the transfer function (or loadings) of the stationary relationships is nonlinear. This includes in particular the smooth transition models.     

A COMPARISON BETWEEN ACTUAL DISTRIBUTIONS OF ANNUAL AND LIFETIME INCOME: SWEDEN 1951–89

This paper uses register data on tax assessed income from 1951 to 1989 for a representative sample of Swedish men in order to compare the distributions of annual income and "lifetime" income. It is found that the dispersion of lifetime income is around 35 to 40 percent lower than typical cross-sections of annual income. It is income up to around 30 years of age that mainly explains this discrepancy in the magnitude of dispersions. From the age of 30 until 65 years the correlations between annual and lifetime income are quite high and the dispersion of annual income is not very much higher than the dispersion of lifetime income. An analysis of the evolution of income mobility shows that there is a slight tendency to rising mobility over time. This finding implies that the common approach to study the development of income distribution by using only annual income can be misleading.     

Life Insurance Liabilities at Market Value: An Analysis of Insolvency Risk, Bonus Policy, and Regulatory Intervention Rules in a Barrier Option Framework

This article takes a contingent claim approach to the market valuation of equity and liabilities in life insurance companies. A model is presented that explicitly takes into account the following: (i) the holders of life insurance contracts (LICs) have the first claim on the company's assets, whereas equity holders have limited liability; (ii) interest rate guarantees are common elements of LICs; and (iii) LICs according to the so‐called contribution principle are entitled to receive a fair share of any investment surplus. Furthermore, a regulatory mechanism in the form of an intervention rule is built into the model. This mechanism is shown to significantly reduce the insolvency risk of the issued contracts, and it implies that the various claims on the company's assets become more exotic and obtain barrier option properties. Closed valuation formulas are nevertheless derived. Finally, some representative numerical examples illustrate how the model can be used to establish the set of initially fair contracts and to determine the market values of contracts after their inception.     

It Takes Three to Tango: Exploring the Interplay among Training Intensity,Job Autonomy,and Supervisor Support in Predicting Knowledge Sharing

This study explored whether the relationship between perceived training intensity and knowledge sharing is prone to combined moderating influences. We operationalized perceived training intensity as a challenge stressor, in accordance with the challenge‐hindrance framework of work stressors. The results of a study of 129 employees from three Norwegian service industries revealed a positive relationship between perceived training intensity and supervisor‐rated knowledge sharing for employees reporting high levels of perceived job autonomy and high levels of perceived supervisor support. In contrast, we found a negative relationship between perceived training intensity and supervisor‐rated knowledge sharing for employees reporting high levels of perceived job autonomy and low levels of perceived supervisor support. These findings suggest that supervisors are of vital importance in facilitating knowledge sharing among employees in settings where developmental challenges are prevalent and perceptions of job autonomy are high. Implications for future research and practice are also discussed. © 2014 Wiley Periodicals, Inc.     

Factors of electric vehicle adoption: A comparison of conventional and electric car users based on an extended theory of planned behavior

Increasing the share of battery electric vehicles (BEV) in the total car fleet is regarded as a promising way to reduce local car emissions. Based on online surveys in Denmark and Sweden, this study compares BEV users' (n = 673) and conventional vehicle (CV) users' (n = 1794) socio-demographic profiles, attitudinal profiles, and mobility patterns. In line with previous research, BEV users are typically male, highly educated, have high incomes, and often more than one car in their household. Additionally, BEV users perceive less functional barriers toward BEV use and have more positive attitudes and norms than CV users. The different profiles of these user groups suggest a separate analysis of potential factors of BEV adoption in both groups. In regression analyses, CV and BEV users' intention to use/purchase a BEV is modeled based on factors of the Theory of Planned Behavior extended by personal norm, perceived mobility necessities, and BEV experience. For CV users, symbolic attitudes related to BEVs are the most important factor of intention, while perceived functional barriers in terms of driving range are most relevant for BEV users' intention. How BEV users cope with trips of longer distance seems of particular relevance. In multiple car households, we found the percentage of actual BEV usage related to the type of other cars in the household, perceived functional barriers of BEVs as well as (successful) behavioral adaption to longer trips by BEVs. Based on the results, we discuss ways to increase BEV adoption for current users and non-users.