POSTERIOR‐PREDICTIVE EVIDENCE ON US INFLATION USING EXTENDED NEW KEYNESIAN PHILLIPS CURVE MODELS WITH NON‐FILTERED DATA

Changing time series properties of US inflation and economic activity, measured as marginal costs, are modeled within a set of extended New Keynesian Phillips curve (NKPC) models. It is shown that mechanical removal or modeling of simple low‐frequency movements in the data may yield poor predictive results which depend on the model specification used. Basic NKPC models are extended to include structural time series models that describe typical time‐varying patterns in levels and volatilities. Forward‐ and backward‐looking expectation components for inflation are incorporated and their relative importance is evaluated. Survey data on expected inflation are introduced to strengthen the information in the likelihood. Use is made of simulation‐based Bayesian techniques for the empirical analysis. No credible evidence is found on endogeneity and long‐run stability between inflation and marginal costs. Backward‐looking inflation appears stronger than forward‐looking inflation. Levels and volatilities of inflation are estimated more precisely using rich NKPC models. The extended NKPC structures compare favorably with existing basic Bayesian vector autoregressive and stochastic volatility models in terms of fit and prediction. Tails of the complete predictive distributions indicate an increase in the probability of deflation in recent years. Copyright © 2014 John Wiley & Sons, Ltd.     

Seemingly inconsistent analyst revisions

In about 20%–30% of cases where an analyst revises two outputs (namely, earnings estimates, target prices, or stock recommendations) simultaneously, the two estimates are revised in opposite directions. Existing literature notes that these inconsistent outputs are widespread, and concludes that they are lower-quality, driven by strategic bias, and are viewed as less valid by investors. We find that these characterizations are generally inaccurate. Apparent inconsistency is largely driven by accounting and economic factors, with only limited evidence that investment banking-related conflicts play a role. Moreover, inconsistent outputs are neither less accurate than consistent outputs nor do they resolve less investor uncertainty upon their release. Overall, our results suggest that researchers should be cautious in interpreting the correlation between analyst outputs as a measure of bias or quality, and in using a single analyst output as a proxy for an analyst's overall views.     

Establishing statistical foundations of a chronology for the great divergence: a survey and critique of the primary sources for the construction of relative wage levels for Ming–Qing China

This article is a survey and critique of recent endeavours to establish statistical foundations for a chronology for the great divergence based upon trends and levels in relative wages. Our reading of the bibliography in Chinese labour history, together with a preliminary investigation into other primary sources, suggests that the Kuznetsian paradigm for empirical economics may not be viable for the construction of analytical narratives for the Chinese and other premodern imperial economies in South and West Asia. Nevertheless, two datasets currently in print will continue to be quoted to lend support to numerically grounded speculations for levels and trends in real wages and welfare for the families of wage‐dependent urban workers in China over the eighteenth century. Statistical evidence for the Ming and Qing dynasties calibrated for the purposes of comparing real wage levels for wage‐dependent labour between China and western Europe can, however, be placed on a spectrum for accuracy and inferential analysis that runs from ‘unfounded guess work’ to ‘plausible conjectures’. The unwelcome contention of this article is that the data published and potentially available for China (and probably for India and the Ottoman Empire) stand close to the unfounded guess work end of that spectrum. Meanwhile, and as a speculative conclusion, we offer a conjecture that the ‘real wages’ for Qing China's tiny proletariat, whose income included high proportions of wages in kind, have remained as elusive as they were when the real wage debate began a decade ago.     

Business model innovation and decision making: uncovering mechanisms for coping with uncertainty

As a research subject, business model innovation spans the strategy, innovation, and entrepreneurship fields. Yet, despite the importance of the concept, prior work has paid little attention to how decision-makers cope with uncertainty and gain understanding about interdependencies in new business model configurations. To address this gap, we combine top-down theorising and evidence-based exploration and seek to unpack some of the coping mechanisms that operate in the evolutionary view of business model innovation. Using in-depth interviewing to collect data, our study reveals five strategies – customer centricity, value co-creation, capability evolution, ecosystem growth, and adaptive pricing – that decision-makers apply to cope with uncertainty in business model innovation. We find that coping mechanisms support decision making during the development of new business models. Furthermore, we find that the five coping strategies delineate decision making for value proposition, value creation, and value capture configurations in more detail than existing literature has described. Our findings have important implications for decision making in business model innovation.     

Power Relations and Social Mix in Metropolitan Neighbourhoods in North America and Europe: Moving Beyond Gentrification?

Research on spatial segregation has suggested that social mix may be a temporary phase in class displacement, where relations between different groups are at best divided or ‘tectonic’, for instance in England. Political and policy discourses, by contrast, tend to uncritically valorize social mix as a means to breaking up concentrations of poverty and providing neighbourhoods with a middle‐class voice. In the literature, little attention has been paid to power dynamics in socially mixed neighbourhoods and the implications this may have for understanding theory and policy. The five articles that make up this symposium address the ways in which social and ethnic groups interact in major cities in Europe and North America and, as the title suggests, this involves taking into account power relations, domination and negotiation between the different groups. There is a need to connect the experience of the deployment of power within neighbourhoods (and between them) with the discussions of power mechanisms at work in wider urban processes.     

Using Technology to Encourage Critical Thinking and Optimal Decision Making in Risk Management Education

This article draws a link between the risk management failures in the financial services industry and the educational philosophy and teaching constraints at business schools. An innovative application of prediction market technology within business education is proposed as a method that can be used to encourage students to think about risk in an open and flexible way. This article explains how prediction markets also provide students with the necessary experience to critically evaluate and stress‐test quantitative risk modeling techniques later in their academic and professional careers.     

Consumers’ Perceptions of Corporate Social Responsibility: Scale Development and Validation

Researchers and companies are paying increasing attention to corporate social responsibility (CSR) programs and the reaction to them by consumers. Despite such corporate efforts and an expanding literature exploring consumers’ response to CSR, it remains unclear how consumers perceive CSR and which “Gestalt” consumers have in mind when considering CSR. Academics and managers lack a tool for measuring consumers’ perceptions of CSR (CPCSR). This research explores CPCSR and develops a measurement model. Based on qualitative data from interviews with managers and consumers, the authors develop a conceptualization of CPCSR. Subsequently, model testing and validating occurs on three large quantitative data sets. The conceptualization and the measurement scale can assist companies to assess CPCSR relative to their performance. They also enable managers in identifying shortcomings in CSR engagement and/or communication. Finally, the paper discusses implications for marketing practice and future research.     

Geographic distribution of suicide and railway suicide in Belgium, 2008–2013: a principal component analysis

This study investigated the geographic distribution of suicide and railway suicide in Belgium over 2008--2013 on local (i.e., district or arrondissement) level. There were differences in the regional distribution of suicide and railway suicides in Belgium over the study period. Principal component analysis identified three groups of correlations among population variables and socio-economic indicators, such as population density, unemployment, and age group distribution, on two components that helped explaining the variance of railway suicide at a local (arrondissement) level. This information is of particular importance to prevent suicides in high-risk areas on the Belgian railway network.     

Collective self-governance in a marine community: expedition cruise tourism at Svalbard

Collective self-governance is gaining attention in the literature for maintaining the quality of key attractions and promoting sustainable tourism. The long-term success of collective self-governance is dependent on both its internal organization and its embeddedness in external state and non-state regulations. This paper presents the marine community concept, consisting of a policy and a user community, as a framework for investigating the internal and external dynamics of collective self-governance and its ability to steer toward sustainable cruise tourism. As methodology, a case study design was chosen which was primarily studied by means of interviews with a spectrum of relevant actors concerning expedition cruise tourism at Svalbard. By applying the marine community to Svalbard expedition cruise tourism governance, we draw the following conclusions: (1) collective self-governance complements governmental regulation through access to knowledge, conflict resolution and rule-compliance based on disclosure, traceability and trust; (2) collective self-governance's increasing role in the policy community alienates the expedition crew from the user community; and (3) informational overflow by co-existence of collective self-governance and state-governance challenges sustainable cruise tourism. Collective self-governance would, therefore, benefit from reflection, especially regarding the role of the user community that functions as an intermediary between state and self-governance regulations.