On the size of fiscal multipliers: A counterfactual analysis

We point out that fiscal multipliers derived from SVAR-models include the predicted future path of policy instruments. After the initial shock, net taxes and government expenditures react to each other and are autocorrelated. In a counterfactual simulation, we report fiscal multipliers that abstract from these dynamic responses.     

Forecasting interest rates with shifting endpoints

We consider forecasting the term structure of interest rates with the assumption that factors driving the yield curve are stationary around a slowly time‐varying mean or ‘shifting endpoint’. The shifting endpoints are captured using either (i) time series methods (exponential smoothing) or (ii) long‐range survey forecasts of either interest rates or inflation and output growth, or (iii) exponentially smoothed realizations of these macro variables. Allowing for shifting endpoints in yield curve factors provides substantial and significant gains in out‐of‐sample predictive accuracy, relative to stationary and random walk benchmarks. Forecast improvements are largest for long‐maturity interest rates and for long‐horizon forecasts. Copyright © 2013 John Wiley & Sons, Ltd.     

The impact of relative residence times on the distribution of heavy drinkers in highly distinct environments

Alcohol consumption is a function of social dynamics, environmental contexts, individuals' preferences and family history. Empirical surveys have focused primarily on identification of risk factors for high-level drinking but have done little to clarify the underlying mechanisms at work. Also, there have been few attempts to apply nonlinear dynamics to the study of these mechanisms and processes at the population level. A simple framework where drinking is modeled as a socially contagious process in low- and high-risk connected environments is introduced. Individuals are classified as light, moderate (assumed mobile), and heavy drinkers. Moderate drinkers provide the link between both environments, that is, they are assumed to be the only individuals drinking in both settings. The focus here is on the effect of moderate drinkers, measured by the proportion of their time spent in “low-” versus “high-” risk drinking environments, on the distribution of drinkers.A simple model within our contact framework predicts that if the relative residence times of moderate drinkers are distributed randomly between low- and high-risk environments then the proportion of heavy drinkers is likely to be higher than expected. However, the full story even in a highly simplified setting is not so simple because “strong” local social mixing tends to increase high-risk drinking on its own. High levels of social interaction between light and moderate drinkers in low-risk environments can diminish the importance of the distribution of relative drinking times on the prevalence of heavy drinking.     

The two-fund separation theorem revisited

This paper resolves two issues regarding the traditional capital asset pricing model with one risk-free asset which seem to have been overlooked in the literature. First, it provides an elementary and complete proof of the two-fund separation theorem which accounts for the fact that asset demand may become undefined if the limiting slopes of the investor’s indifference curves are finite. Second, it shows that an additional limiting condition on investors’ risk aversions is generally necessary to guarantee existence of an equilibrium. Moreover, a generalized existence result is formulated which includes investors who in equilibrium may not invest in risky assets and a simple condition ensuring positive equilibrium asset prices is given.     

Profiling mobile TV adopters in college student populations of Korea

By profiling demographic characteristics, perceived general adoption attributes, perceived value-based adoption attributes, motivational needs, mass media use, and content interest, this exploratory study examines the nature of four categories of mobile TV adopters — current, potential, continuous non-, and discontinuous user groups. Despite the limited sample size (N = 214), there are some meaningful findings. First of all, the non-adoption rate of mobile TV of the continuous non-, and discontinuous user groups is higher than the adoption rate of the current and potential user groups. Less than half of the respondents (N = 34) who had used TV on a mobile device were unwilling to use it again in the next twelve months, and almost half of those (N = 102) did not have the intention of using it within the coming year. The results suggest that the discontinuous group seems to have been dissatisfied with the actual mobile TV use when compared with their expectations and evaluations, while the potential user group is more likely to have high expectations and positive evaluations before the adoption and use of mobile TV. All user groups were unwilling to pay the fee, despite the current and potential user groups perceiving the exceptional values. No differences were found in the personality trait of innovativeness and mass media use behaviors among the four groups.     

Building internal business scenarios based on real data from a performance measurement system

This paper presents a new methodology to build internal business scenarios from the data gathered by some key performance indicators (KPIs) defined within a performance measurement system. The application of the principal components analysis technique leads to the identification of latent relationships between KPIs that underlies some important business aspects. Further, this methodology allows to represent not only the temporal evolution of the organisation as a function of these business aspects but also the definition and determination of internal business scenarios, being therefore the source of meaningful managerial information. At the end of the paper, results of a practical application are presented and discussed, as well as their importance for the organisation from a decision making point of view.     

New Service Development: An Analysis of 27 Years of Research *

This study examines the state of the art in new service development (NSD) research published in the period between 1982, when the first NSD article appeared in an academic journal, and 2008. First, a multisource search was conducted, which resulted in the identification of 145 NSD‐related articles. Then, a content analysis was performed of these articles using multiple classifier variables with regard to general publication characteristics, focus of the research, and the research methodology that was employed. By examining the results, a number of developments in and patterns of scholarly research in NSD are revealed. More specifically, it appears that the greatest attention in the early writings was on a narrow set of NSD topics like critical success factors and the NSD process, which were predominantly investigated through large‐scale surveys with single respondents in the U.S., Canadian, and U.K. financial services industry. The analytical techniques that were used at that time were rather simple. In contrast, in recent NSD works there is an expansion of research topics (such as customer involvement and the organization of NSD) that are increasingly investigated in high‐tech service industries in Europe through qualitative research designs. Also, multiple respondent studies have started to appear in NSD investigations, while analytical techniques have also become more advanced. This pattern clearly uncovers signs of increasing maturation for the NSD discipline. In addition, some underresearched areas are identified, leading to suggestions for future research into this growing and important field.