Business visits,knowledge diffusion and productivity

We investigate whether labor mobility can be a distinct source of growth by studying the productivity impact of business visits (BVs), vis-à-vis that of other well-known drivers of productivity enhancement. Our analysis uses an unbalanced panel—covering on average 16 sectors per year in ten countries during the period 1998–2011—which combines unique and novel data on BVs sourced from the US National Business Travel Association with Organization for Economic Cooperation and Development (OECD) data on R&D and capital formation. We find that mobility through BVs is an effective mechanism to improve productivity, being about half that obtained by investing in R&D. This relevant finding invites viewing short-term mobility as a strategic mechanism and prospective policy tool to overcome productivity slowdowns and foster economic growth.     

Beliefs underlying stress reduction and depression help-seeking among college students: An elicitation study

Objective: This study illustrates how a theory-based approach can identify college students’ beliefs about stress reduction activities and help-seeking for depression. These beliefs are the basis for intervention design. Participants: A sample of 53 undergraduate students at a public university in the Midwest participated in this research during March 2016. Methods: An open-ended belief elicitation survey was administered online. Beliefs were identified through qualitative thematic analyses. Results: Exercise was students’ most preferred stress reduction activity. Beliefs about exercise emphasized physical benefits yet also not having time for exercise. Beliefs about help-seeking for depression emphasized treatment efficacy, support from others, stigma, and time constraints. Conclusions: Whereas beliefs about positive outcomes inform educational and motivational messages, beliefs about time constraints underscore the need to also consider structural factors that can help students find time to attend to their well-being.     

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...     

Applying the Consensual Method of Estimating Poverty in a Low Income African Setting

Social Indicators Research - We present the first study of multidimensional poverty in Benin using the consensual or socially perceived necessities approach. There is a remarkable level consensus...     

Multidimensional Analysis of Deprivation and Fragility Patterns of Migrants in Lombardy,Using Partially Ordered Sets and Self-Organizing Maps

Social Indicators Research - In this paper, we present a multidimensional fuzzy analysis of the levels and the patterns of poverty and social fragility of migrants’ families, in the Italian...     

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.     

Gender Roles and Internalized Sexual Stigma in Gay and Lesbian Persons: A Quadratic Relation

Purpose: No previous research has deeply investigated the association between gay men and lesbians’ adherence to gender roles and their internalized sexual stigma. This study suggests a potential non-linear correlation between these factors. Methods: Seventy-five gay men and 70 lesbians responded to self-report questionnaires. Hierarchical multiple regression analyses were conducted to investigate linear, quadratic, and exponential models and to determine which model best explained the correlation. Results: The quadratic model best explained the correlation, showing no gender differences. Conclusion: Adherence to gender roles constitutes a relevant factor in predicting internalized sexual stigma.     

How to measure and proxy permanent income: evidence from Germany and the U.S.

Permanent income (PI) is an enduring concept in the social sciences and is highly relevant to the study of inequality. Nevertheless, there has been insufficient progress in measuring PI. We calculate a novel measure of PI with the German Socio-Economic Panel (SOEP) and U.S. Panel Study of Income Dynamics (PSID). Advancing beyond prior approaches, we define PI as the logged average of 20+ years of post-tax and post-transfer (“post-fisc”) real equivalized household income. We then assess how well various household- and individual-based measures of economic resources proxy PI. In both datasets, post-fisc household income is the best proxy. One random year of post-fisc household income explains about half of the variation in PI, and 2–5 years explain the vast majority of the variation. One year of post-fisc HH income even predicts PI better than 20+ years of individual labor market earnings or long-term net worth. By contrast, earnings, wealth, occupation, and class are weaker and less cross-nationally reliable proxies for PI. We also present strategies for proxying PI when HH post-fisc income data are unavailable, and show how post-fisc HH income proxies PI over the life cycle. In sum, we develop a novel approach to PI, systematically assess proxies for PI, and inform the measurement of economic resources more generally.