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 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.     

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.     

State Aid and Partisan Government in the European Union*

Objective. I explore the effects of the partisan composition of government on industrial aid disbursement in 14 EU member states during the period 1992–2004. Methods. Predictions are tested controlling for the impact of international economic integration, the European Commission, domestic institutions, and macroeconomic conditions, using Prais‐Winsten coefficients with panel‐corrected standard errors, a random effects specification, and two‐stage least squares analysis with GLS random effects. Results. Contrary to conventional wisdom, right‐wing governments systematically give out more total and sectoral aid than left‐wing governments. Conclusion. Partisan politics tempers national enthusiasm for a single European market, exposing market reforms to a range of restraining domestic political issues.     

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.     

Understanding the WTA–WTP gap: Attitudes, feelings, uncertainty and personality

We present an experiment designed to study the psychological basis for the willingness to accept (WTA)–willingness to pay (WTP) gap. Specifically, we conduct a standard WTA–WTP economic experiment to replicate the gap and include in it five additional instruments to try to follow the psychological processes producing it. These instruments are designed to measure five psychological constructs we consider especially relevant: (1) attitudes, (2) feelings, (3) familiarity with the target good, (4) risk attitudes, and (5) personality. Our results provide important new insights into the psychological foundations of the WTA–WTP disparity, which can be used to organize some major previous results and cast serious doubts on the claim that the gap might be just a consequence of inappropriate experimental practice.     

On Strategy,Typologies and the Adoption of Technological Innovations in Industrial Markets

This paper investigates the role of strategy in the timing of adoption of technological innovation by industrial firms. In the course of this investigation we bring together and consolidate theoretical insights and empirical evidence from diverse yet fundamentally related streams of research. Strategy is placed within the wider context of the many factors that have been found to influence the timing of a firm's decision to adopt a technological innovation, and conjectures about its precise role are debated. The paper concludes with suggestions towards a synthesis of the highly fragmented work in the area, and identifies key directions for research aimed at a better understanding of the innovation adoption decision in contemporary firms and the interrelationships of the many factors influencing this decision.     

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...