Turnover and Excess Worker Reallocation. The Veneto Labour Market between 1982 and 1996

This research exploits a large matched employer–employee data set for an Italian region, the Veneto, that is presented here for the first time, in order to analyse job and worker flows. In a first part, the paper computes worker turnover, job turnover, and excess worker reallocation over a time span of 14 years. The results are discussed, and comparisons are made between the quantitative features of the labour market in the Veneto region and those of other labour markets. In a second part, turnover and excess worker reallocation are related to search costs, and new empirical evidence is presented that helps in understanding the connections between search activity, unemployment, and the economic cycle.     

Prüfungshonorare in Deutschland – Determinanten und Implikationen

The audit fees available since 2005 as a consequence of the Bilanzrechtsreformgesetz (commercial code reform act) show an extremely high supplier concentration on the German audit market of publicly listed companies. This justifies the assumption of audit fees above perfect market equilibrium prices. However, the complete collection and multivariate regression analysis of all relevant audit fee and client data document a 24 % decrease in audit fees in 2005 and an average 15 % decrease in the two subsequent years due to auditor changes. This can be interpreted as an indicator for price competition. In addition, the audit fee data shows that the audit fee decreases are only partially compensated by subsequent increases. As a consequence, there is no evidence for lowballing at present. Further time series are necessary to show if the current trend is sustainable.     

The Modeling and Seasonal Adjustment of Weekly Observations

Several important economic time series are recorded on a particular day every week. Seasonal adjustment of such series is difficult because the number of weeks varies between 52 and 53 and the position of the recording day changes from year to year. In addition certain festivals, most notably Easter, take place at different times according to the year. This article presents a solution to problems of this kind by setting up a structural time series model that allows the seasonal pattern to evolve over time and enables trend extraction and seasonal adjustment to be carried out by means of state-space filtering and smoothing algorithms. The method is illustrated with a Bank of England series on the money supply.     

Developing an Index to Measure Sub-municipal Level Urban Sprawl

The present study aims to develop an index composed of different spatial variables to measure the urban sprawl levels of a municipality located in Southern Spain. According to the findings, urban sprawl can be measured not only on the metropolitan level but also on a more detailed and precise level, such as sub-municipal. A group of experts chosen for their suitability in measuring urban sprawl select six spatial variables (population density, net residential density, coverage ratio, land use types, percentage of residential land use, and average year of construction). These variables are aggregated using Choquet integral, a technique that combines interactions between those variables providing greater coherence to the complexity that is inherent in the creation of composite sprawl indexes. This methodology has been demonstrated to be valid and appropriate in evaluating urban expansion at sub-municipal level, but can also be applied to other scales once it is clearly a phenomenon in which interaction between criteria exists. The resulting composite index allows the assignment of different levels of sprawl to the urban areas consistent with their morphology and landscape.     

Measuring Multidimensional Poverty According to National Definitions: Operationalising Target 1.2 of the Sustainable Development Goals

Social Indicators Research - The first Sustainable Development Goal (SDG) tasks countries with eradicating poverty in all its dimensions according to national definitions. This presents...     

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.     

Model-based clustering with determinant-and-shape constraint

Statistics and Computing - Model-based approaches to cluster analysis and mixture modeling often involve maximizing classification and mixture likelihoods. Without appropriate constrains on the...     

Who’s About to Leave? A Global Survey of Aspirations and Intentions to Migrate

This article analyses aspirations and intentions to migrate based on Gallup World Poll for the period 2010–2015. We estimate individual‐level traits associated with aspirations and intentions to migrate across groups of countries in different regions and with different income levels. This paper brings together previous hypotheses regarding migration aspirations and tests them under several specifications, while keeping separate findings according to migration aspirations and intentions to appreciate differences between them. Being dissatisfied with one’s own standard of living is associated with a higher probability of desiring to move, while the relation with the actual preparation to migrate is less clear. Some individual traits remain significant across (almost) all specifications: being male, foreign‐born, highly educated, and having networks abroad are associated with higher probability of preparing for international migration. Aspects related to one’s economic situation are not consistently significant across specifications, signalling the importance of contextual analyses for these factors.