Mid-Cycle Capital Planning Optimization

A typical capital rationing problem takes place at the beginning of a fiscal cycle, where a project portfolio is chosen to maximize expected return subject to a budget constraint. This article examines mid-cycle capital planning, which occurs near the end of a fiscal cycle. Motivated by the “budget-lapsing” rule, the decision-maker embarks on a “year-end spending spree.” We use chance-constrained methodology to address two new constraints: reaching profit target set at the beginning of the year and exhausting the budget completely. Data from Lockheed Martin Space Systems illustrate how the optimal portfolio selection is influenced by these constraints.     

The hidden cost of smoking: Rent premia in the housing market

In this article, we provide novel evidence on the additional costs associated with smoking. While it may not be surprising that smokers pay a rent premium, we are the first to quantify the size of this premium. Our approach is innovative in that we use text mining methods that extract implicit information on landlords’ attitudes to smoking directly from Zoopla UK rental listings. Applying hedonic, matching, and machine-learning methods to the text-mined data, we find a positive smoking rent premium of around 6%. This translates into £14.40 of indirect costs, in addition to £40 of weekly spending on cigarettes estimated for an average smoker in the United Kingdom.     

The Sustainability of External Imbalances in the European Periphery

Open Economies Review - The issue of external imbalances has become a key concern in the global economy, gaining particular prominence also inside Europe, following the Eurozone crisis....     

Toward a continuum of measurement scales in Just-in-Time (JIT) research – an examination of the predictive validity of single-item and multiple-item measures

We compare the predictive validity of single-item and multiple-item measures utilized in Just-in-Time (JIT) research. The study examines if single-item measures could be used for some of the JIT practices, especially if the object of inquiry is concrete singular and if the attribute to be researched is concrete. Arguments are developed for the concrete nature of the JIT practice of “set-up time reduction” and we examine the ability of a single-item measure of this variable to predict the criterion variable (delivery performance). In addition, the study also examines the efficacy of using multiple-item measures for variables that are abstract in nature, and thereby attempts to develop a continuum of JIT constructs ranging from concrete to abstract. The results obtained by analyzing two sets of survey data show that multiple-item measures are not necessarily more valid than single-item measures for all constructs. The findings provide evidence that multiple-item measures and single-item measures for scale development should be contingent upon the nature of constructs. For concrete constructs, single-item measures are as valid as multi-item measures. Meanwhile, for abstract constructs it is important to ensure that multiple items are considered to capture the multi-dimensional nature of these constructs. Results also reveal that JIT practices display significant differences in terms of abstract/concrete perceptions. The paper presents theoretical and practical implications of the findings, and offers directions for future research.     

Risk aversion in Entrepreneurship Panels: Measurement Problems and Alternative Explanations

In this study, we investigate the pitfalls associated with measuring risk aversion within studies of entrepreneurial behavior. First, we raise substantial concerns as to whether standard questions employed can be used to infer risk aversion among nascent entrepreneurs. In our work we show that the US, Canadian and Swedish panel study datasets do not offer evidence that entrepreneurs are more risk averse than non‐entrepreneurs. In fact, we show that the measurements used for risk aversion in these studies are not compatible with classic expected utility theory. Furthermore, our analysis reveals that probability weighting may even counteract the respondent's risk attitude. Therefore, inferring the respondent's risk attitude from choices in the panel study datasets can be misleading in the presence of probability weighting. We therefore suggest that alternative theories of decision making under risk, like prospect theory, are relevant and should be taken into account in future studies on entrepreneurship. Copyright © 2017 John Wiley & Sons, Ltd.