Communicating Geographical Risks in Crisis Management: The Need for Research

In any crisis, there is a great deal of uncertainty, often geographical uncertainty or, more precisely, spatiotemporal uncertainty. Examples include the spread of contamination from an industrial accident, drifting volcanic ash, and the path of a hurricane. Estimating spatiotemporal probabilities is usually a difficult task, but that is not our primary concern. Rather, we ask how analysts can communicate spatiotemporal uncertainty to those handling the crisis. We comment on the somewhat limited literature on the representation of spatial uncertainty on maps. We note that many cognitive issues arise and that the potential for confusion is high. We note that in the early stages of handling a crisis, the uncertainties involved may be deep, i.e., difficult or impossible to quantify in the time available. In such circumstance, we suggest the idea of presenting multiple scenarios.     

THE U.S. LABOR INCOME SHARE AND AUTOMATION SHOCKS

The causes and consequences of the 1964–2016 swings in the U.S. labor income share/labor share (LS) are parsed through the lens of a structural model estimated on aggregate and LS series jointly. Where conventional models fall short, the present model yields a counter-cyclical LS unconditionally and in response to demand and monetary policy shocks, as well as a small wage pro-cyclicality, via moderate wage indexation. Shifts in automation, workers' market power, investment efficiency, and the relative price of investment account for 54%, 24%, 6%, and 4% of LS fluctuations, respectively. Automation shocks explain the lion's share of the post-2007 cyclical LS tumble and 11% of output cycles, and generate a distinctive counter-cyclical labor response. (JEL E32, E25, E52)     

Feedback Loops as Dynamic Processes of Organizational Knowledge Creation in the Context of the Innovations’ Front‐end

Feedback loops are instrumental in the organizational knowledge creation (OKC) process across the highly uncertain and dynamic innovation's front‐end. Therefore, managers should be aware of how these loops unfold, how to recognize meaningful patterns and how to steer them towards planned and emergent outcomes. Easy to say, difficult to practise! This empirical paper focuses on knowledge–conceptualization – the new knowledge's generation‐crystallization journey – and develops a unique model of feedback loops as dynamic processes of OKC in the context of the innovations’ front‐end. Using ten qualitatively studied innovations, the authors identify five front‐end OKC stages (generation, evaluation, expansion, refinement and crystallization) and pattern these based on their overlaps to explore the associated feedback loops. This model distinctively illustrates increasing–decreasing, diverging–converging and frequent negative‐cum‐positive loops, and illuminates the complex and rich patterns of loops not captured before.     

Playground Accessibility and Neighbourhood Social Interaction Among Parents

While the positive association between social interaction and access to green space is well accepted, little research has sought to understand the role of children??s playgrounds in facilitating social interaction within a community. Playgrounds are spaces designed to facilitate play and the interaction of children, but may also be important places of interaction between parents. In this paper we examine how access to playground spaces is related to social interaction between parents. We use two measures of accessibility (1) walking distance to the closest playground and (2) playground service area, a measure of the number of potential users of a playground based on population density. We use generalized estimating equations, an extension of generalized linear models, to control for the confounding effects of socio-economic status (income, education), neighbourhood dynamics (neighbourhood location, years in neighbourhood) and free time (daily outdoor activity, marital status, number of children) on the independent relationship between social interaction and access to playground spaces. Our results suggest that while accessibility to playgrounds is associated with social interaction among parents, the direction of the effect is opposite to existing literature on green space and social interaction; parents with low accessibility to playgrounds are more likely to interact socially with their neighbours than parents with high accessibility. Our results suggest a pattern of spatial behaviour in which the burden of poor access to some resources may actually encourage greater neighbourhood engagement. Future research studying the relationship between health and green space may benefit from studying the specific role of playground spaces.     

An EM and a Stochastic Version of the EM Algorithm for Nonparametric Hidden Semi-Markov Models

The Hidden semi-Markov models (HSMMs) were introduced to overcome the constraint of a geometric sojourn time distribution for the different hidden states in the classical hidden Markov models. Several variations of HSMMs were proposed that model the sojourn times by a parametric or a nonparametric family of distributions. In this article, we concentrate our interest on the nonparametric case where the duration distributions are attached to transitions and not to states as in most of the published papers in HSMMs. Therefore, it is worth noticing that here we treat the underlying hidden semi-Markov chain in its general probabilistic structure. In that case, Barbu and Limnios (2008 Barbu , V. , Limnios , N. ( 2008 ). Semi-Markov Chains and Hidden Semi-Markov Models Toward Applications: Their Use in Reliability and DNA Analysis . New York : Springer . [Google Scholar]) proposed an Expectation–Maximization (EM) algorithm in order to estimate the semi-Markov kernel and the emission probabilities that characterize the dynamics of the model. In this article, we consider an improved version of Barbu and Limnios' EM algorithm which is faster than the original one. Moreover, we propose a stochastic version of the EM algorithm that achieves comparable estimates with the EM algorithm in less execution time. Some numerical examples are provided which illustrate the efficient performance of the proposed algorithms.     

The stochastic component in choice and regression to the mean

In this article, we illustrate experimentally an important consequence of the stochastic component in choice behaviour which has not been acknowledged so far. Namely, its potential to produce ‘regression to the mean’ (RTM) effects. We employ a novel approach to individual choice under risk, based on repeated multiple-lottery choices (i.e. choices among many lotteries), to show how the high degree of stochastic variability present in individual decisions can distort crucially certain results through RTM effects. We demonstrate the point in the context of a social comparison experiment.     

Interethnic marriage: a choice between ethnic and educational similarities

This paper explores the role of assortative matching on education in explaining the relationship between schooling and ethnic endogamy. Using 2000 US Census data, we find that matching on education rather than ethnicity is more important for natives than for the foreign born and for the foreign born who arrived as young children rather than for those who arrived as teenagers. Education does not appear to influence the marriage decisions of Asians, but matching on education plays a larger role in the decisions of whites than those of Hispanics.     

The asymptotic behaviour of the residual sum of squares in models with multiple break points

ABSTRACT

Models with multiple discrete breaks in parameters are usually estimated via least squares. This paper, first, derives the asymptotic expectation of the residual sum of squares and shows that the number of estimated break points and the number of regression parameters affect the expectation differently. Second, we propose a statistic for testing the joint hypothesis that the breaks occur at specified points in the sample. Our analytical results cover models estimated by the ordinary, nonlinear, and two-stage least squares. An application to U.S. monetary policy rejects the assumption that breaks are associated with changes in the chair of the Fed.     

Is Economic Policy Uncertainty Related to Suicide Rates? Evidence from the United States

The main objective of this paper was to see whether different countries around the world show differences in their sustainability levels as captured in the indicators from the Sustainable Society Index (SSI, Van de Kerk and Manuel in Ecol Econ 66:228–242, 2012) according to their level of income. To do so, the X-STATIS and CO-STATIS multivariate techniques were employed. With these methods, our sample of 151 countries and 21 indicators can be jointly represented along four time periods. The results obtained permit us to visualize that the groups of countries by income levels show differences in some of the variables from the SSI, because of the lack of proximities between those variables and the countries. Moreover, with the X-STATIS technique, the possible evolution of the countries or indicators over time can be represented, and with CO-STATIS, the relations between the social, economic and environmental aspects can be shown as well. From our results we were able to deduce that, on the one hand, social and economic indicators, such as Public Debt or Employment, are associated with countries having high and upper-middle incomes, for example, Chile, Israel, Malta, Kuwait, Saudi Arabia, Oman, Spain, Portugal, France, Poland and Czech Republic. On the other hand, countries with low and lower-middle incomes are more associated with environmental issues. Also, after finding that the differences between the countries by income levels are mainly caused by the economic indicators, we carried out two CO-STATIS analyses, one for social and economic variables, and the other for economic and environmental variables. These findings led us to deduce that, generally, the social and economic indicators are not related to each other, nor are the economic indicators related to the environmental ones. However, for some of the countries individually both relations may be possible.     

Human Development Over Time: An Empirical Comparison of a Dynamic Index and the Standard HDI

Social Indicators Research - This research uses panel data to explore inferences about human development associated with two different formulations of the Human Development Index (HDI). The first...