Perceptions and expectations of price changes and inflation: A review and conceptual framework

Drawing on relevant literature from a diverse range of academic disciplines we present a conceptual framework intended to further our understanding of perceptions and expectations of price changes and inflation. Based on this framework, we provide a detailed review of the literature and an analysis of open issues in current research. The review is primarily concerned with individuals’ perceptions and expectations of price changes and inflation, which can influence individuals’ economic behaviour (e.g. spending and saving decisions). The main insight from the review is that while consumers may have a limited ability to store and recall specific prices, and even succumb to a number of biases in the way in which they form perceptions and expectations of global price changes, they do seem to have some feel for, and ability to judge and forecast, inflation. How they achieve this, however, is still an open question, although plausible explanations have been proposed. While much important research has been undertaken and significant progress made in our understanding of the psychology of inflation, there remain many unanswered questions and interesting avenues for future research, which are discussed in the final part of the paper.     

Basic notions for the analysis of large two-mode networks

Many large real-world networks actually have a two-mode nature: their nodes may be separated into two classes, the links being between nodes of different classes only. Despite this, and despite the fact that many ad hoc tools have been designed for the study of special cases, very few exist to analyse (describe, extract relevant information) such networks in a systematic way. We propose here an extension of the most basic notions used nowadays to analyse large one-mode networks (the classical case) to the two-mode case. To achieve this, we introduce a set of simple statistics, which we discuss by comparing their values on a representative set of real-world networks and on their random versions. This makes it possible to evaluate their relevance in capturing properties of interest in two-mode networks.     

Violence Exposure and Drug Use in Central American Youth: Family Cohesion and Parental Monitoring as Protective Factors

Associations between witnessing serious violence and drug use, and the protective influences of family cohesion and parental monitoring, were investigated among 9,840 adolescents (50.5% female, M age=15.29 years, SD=1.76) living in Panama and Costa Rica. After accounting for demographics and parental and sibling substance use, witnessing serious violence was associated with greater drunkenness, tobacco use, number of illicit drugs used, and problems with drugs and alcohol. In every analysis, exposure to violence was associated with more drug use, while family cohesion and parental monitoring attenuated risk. Further, family cohesion and parental monitoring exerted a protective‐stabilizing effect on number of illicit drugs used and on problems with drugs and alcohol. There were few interactions with age. Implications for prevention are discussed.     

Poverty statics and dynamics: does the accounting period matter?

Any public policy aimed at reducing the effects of deprivation should be aware of the consequences of the use of different income accounting periods on eligibility and subsequent policy evaluation. This study aims to throw some light on the relev-ance of choosing a specific accounting period for public policy evaluation in a European country, in contrast to the existing evidence for the United States. Our analysis indicates that there are some significant differences in the results on poverty when using different income accounting periods. Researchers and decision-makers using an annual income measure, whatever the economic and social welfare context, should be aware that the use of quarterly data instead of yearly data will lead to a significantly larger number of poor households and a lower level of inequality and mobility in the distribution.     

An interactional model of questions as therapeutic interventions

We dedicate this article to the memory of Steve de Shazer, who was the University's External Examiner for the doctoral dissertation on which this article is based. His comments were both generous and influential, as they were on many other occasions. We would also like to thank Ron Chenail (as Editor of JMFT ) and Dora Fried Schnitman (as Editor of Sistemas Familiares) for coordinating the simultaneous review and publication of this article in English and Spanish.     

Emotions into Disorder: Anxiety Disorders and the Social Meaning of Fear

This article explores what we refer to as norm-stimuli-state discrepancies, which are disparities between people's physical-emotional responses to emotional cues and the normative meanings of those cues. Drawing on forty qualitative interviews and participant observation research at support groups, we show that people with anxiety disorders describe two forms of norm-stimuli-state discrepancies. The first form involves discrepancies of type, in which people label fearful emotional states as deviant for being caused by the “wrong” stimuli. The second involves discrepancies of intensity, in which people label fearful states as deviant for involving feelings or displays of “too much” anxiety in response to an “appropriate” stimuli. The article further addresses the role of stimuli in prompting treatment seeking. Unexpected and intense emotional distress in combination with the falling away of external cues—which we refer to as “stimuli-less fear”—serve as a critical juncture on the path to an anxiety disorder diagnosis.     

Getting your supervisors and managers on the right team

They do a great job. So we promote them. Now they supervise people who don't do the job as well as they did. We give them a big raise. But because they're exempt they make less than their leads. They have the toughest job in the company—managing people. So we grant them an entire day of training to prepare. We ask them to mentor, coach, and have close relationships with their direct reports—all 132 of them. Then when the stock dips, we blame “middle management” and lay a bunch of them off.     

Human mobility in the context of environmental and climate change: Recent data collection tools from the International Organization for Migration to address key methodological and conceptual issues

This paper outlines recent data collection tools and methodologies that the International Organization for Migration (IOM) has been using in order to gather information on human mobility as influenced by environmental factors and their impacts. It looks at alternative ways for collecting and analysing data in the face of methodological challenges related to the multicausality of movements, the voluntary/involuntary continuum in human (im)mobility decisions in the context of environmental and climate change, and the policy and epistemological imperative from viewing migration as an adaptation strategy. The paper finds that certain data collection approaches can be quickly deployed in rapid-onset disasters as well as applied in contexts of gradual, slow-onset environmental change to provide information useful for operational responses to immediate crises and/or for developing policies in response. Some of the tools can be useful in both contexts and may support both immediate and long-term operational, policy and research objectives.