Modelling method effects as individual causal effects

Summary.  Method effects often occur when different methods are used for measuring the same construct. We present a new approach for modelling this kind of phenomenon, consisting of a definition of method effects and a first model, the method effect model , that can be used for data analysis. This model may be applied to multitrait–multimethod data or to longitudinal data where the same construct is measured with at least two methods at all occasions. In this new approach, the definition of the method effects is based on the theory of individual causal effects by Neyman and Rubin. Method effects are accordingly conceptualized as the individual effects of applying measurement method j instead of k . They are modelled as latent difference scores in structural equation models. A reference method needs to be chosen against which all other methods are compared. The model fit is invariant to the choice of the reference method. The model allows the estimation of the average of the individual method effects, their variance, their correlation with the traits (and other latent variables) and the correlation of different method effects among each other. Furthermore, since the definition of the method effects is in line with the theory of causality, the method effects may (under certain conditions) be interpreted as causal effects of the method. The method effect model is compared with traditional multitrait–multimethod models. An example illustrates the application of the model to longitudinal data analysing the effect of negatively (such as 'feel bad') as compared with positively formulated items (such as 'feel good') measuring mood states.     

In search for the ideal coopetition partner: an experimental study

Coopetition (collaboration between competitors) has the potential to provide major benefits or losses to participating firms. Entering a partnership with a competitor is a strategic decision with potential long-term consequences rendering the choice of partner of key importance. Existing research has investigated partner’s strategic attributes, but not how the inter-organizational factors between coopetiting firms affect partner selection and on which layers those effects occur. We use a vignette study for reducing this gap, representing the first experimental study on the field of coopetition research. The results from our study from 874 evaluations of potential coopetition partnerships by key informants from Austria, Germany, Liechtenstein and Switzerland offer insights into how the possible partner’s role, resource alignment and the planned activity affect partner selection. The findings suggest that the partner’s role in the markets—i.e. whether it is a direct or an indirect competitor—is critical in partner selection. The planned activity and resource configuration is also found to influence the evaluation of possible coopetition partners. Overall, the results of this first experimental study in coopetition research provide important implications to both theory and practice.     

Falling through the social safety net? Analysing non-take-up of minimum income benefit and monetary social assistance in Austria

Non-take-up of means tested benefits is a widespread phenomenon in European welfare states. The paper assesses whether the reform that replaced the monetary social assistance benefit by the minimum income benefit in Austria in 2010/11 has succeeded in increasing take up rates. We use EU-SILC register data together with the tax-benefit microsimulation model EUROMOD/SORESI. The results show that the reform led to a significant decrease of non-take-up from 53 to 30% in terms of the number of households and from 51 to 30% in terms of expenditure. Following the three-t's (threshold, trigger, and trade-off) introduced by Van Oorschot, estimates of a two-stage Heckman selection model as well as expert interviews indicate that the taken measures include both threshold and trade-off characteristics. Elements such as the higher degree of anonymity within the claiming process, the provision of health insurance, binding minimum standards, the limitation of the maintenance obligations, new regulations related to the liquidation of wealth, as well as the general coverage of the benefit reform in the media and in public discussions led to an improved access to the benefit.     

Entrepreneurship research: mapping intellectual structures and research trends

Review of Managerial Science - Using bibliometric techniques to identify connections between existing entrepreneurship studies, this article seeks to understand the scientific structure of...     

Measuring the Immeasurables: Development and Initial Validation of the Self-Other Four Immeasurables (SOFI) Scale Based on Buddhist Teachings on Loving Kindness,Compassion, Joy,and Equanimity

Multiple measures exist that examine the attentional aspects of meditation practice, but measurement of the compassion component is relatively understudied. This paper describes the development and initial validation of a scale designed to measure application of the four immeasurable qualities at the heart of Buddhist teachings: loving kindness, compassion, joy and acceptance toward both self and others. Our analyses suggest four distinct subscales: positive qualities toward self, positive qualities toward others, negative qualities toward self and negative qualities toward others. Initial examination of reliability and validity showed high internal consistency for the subscales as well as strong concurrent, discriminant, and construct validity. We believe the Self-Other Four Immeasurables (SOFI) scale has broad utility for research on mindfulness, positive psychology, and social psychology.     

Ageing of a giant: a stochastic population forecast for China, 2006–2060

This paper presents a stochastic population forecast for China with a special emphasis on population ageing. The so-called scaled model for error was used to quantify the uncertainty attached to the population predictions. Data scarcity was a major problem in the specification of the expected error of the population forecast. Therefore, the error structures estimated for European countries were used with some modifications, taking into account the large size and heterogeneity of the Chinese population. The stochastic forecast confirms the expectation of extremely rapid population ageing during the first half of the twenty-first century in China. The old age dependency ratio (OADR) will certainly increase. Simply maintaining the current demographic rates (no international migration) would drive the OADR to 0.42 in 2060, four times the current level. Including expected declines in mortality and net outmigration in the projection would increase the median OADR in 2060 to 0.59, with a 80% prediction interval of [0.47, 0.75]. In particular, the oldest-old population will grow much faster than any other age group. This development has major implications for policy-making in China.

USE OF EXPERT RATINGS AS SAMPLING STRATA FOR A MORE COST-EFFECTIVE PROBABILITY SAMPLE OF A RARE POPULATION

We consider situations in which externally observable characteristics allow experts to quickly categorize individual households as likely or unlikely to contain a member of a rare target population. This classification can form the basis of disproportionate stratified sampling such that households classified as "unlikely" are sampled at a lower rate than those classified as "likely," thereby reducing screening costs. Design weights account for this approach and allow unbiased estimates for the target population.We demonstrate that with sensitivity and specificity of expert classification at least 70%, and ideally at least 80%, our approach can economically increase effective sample size for a rare population. We develop heuristics for implementing this approach and demonstrate that sensitivity drives design effects and screening costs whereas specificity only drives the latter. We demonstrate that the potential gains from this approach increase as the target population becomes rarer. We further show that for most applications, unlikely strata should be sampled at 1/6 to ? the rate of likely strata.This approach was applied to a survey of Cambodian immigrants in which the 82% of households rated "unlikely" were sampled at ? the rate as "likely" households, reducing screening from 9.4 to 4.0 approaches per complete. Sensitivity and specificity were 86% and 91% respectively. Weighted estimation had a design effect of 1.26 so screening costs per effective sample size were reduced 47%. We also note that in this instance, expert classification appeared to be uncorrelated with survey outcomes of interest among eligibles.     

“Live in Israel. Live the Dream”: Identity,Belonging, and Contemporary American Jewish Migration to Israel

Most current sociological literature on migration examines international moves to the United States and internal migration. Scant research addresses religious migration out of the United States. Utilizing in-depth, semi-structured interviews, we explore motivations behind recent American Jewish migration to Israel and how Jewish identity plays a role in the decision to move. We find that a combination of religious and cultural factors, Zionism, social networks, and the desire for a new start play a major role in motivating migration to Israel. Jewish identity is a common thread across these motivations. Many participants created a strong bond between their Judaism and Israel, viewing their connection to Israel as a way to belong to a larger community and demonstrate their attachment to Judaism. We discuss the implications for studying religious emigration from the United States that move beyond traditional economic models.     

Outsiders and Intrapreneurs: The Institutional Embeddedness of Social Entrepreneurship in Germany

The social entrepreneurship discourse in Germany has become more prominent at a time when the deeply rooted corporatist traditions of social provision have come under pressure for marketization. This article examines the potential role of “social entrepreneurs” in the institutionally established German welfare state. The article analyzes the opportunities and constraints that new players face. Drawing on survey data and case studies in the areas of elderly care and advancement of children with immigrant background, the analysis retraces the structure and diffusion of social entrepreneurial projects. It concludes that the simple transfer of the social entrepreneurship model is unlikely. The analysis suggests that successful social ventures in Germany adapt the notion of social entrepreneurship to prevalent institutional realities. In the context of more encompassing social services, dense decentralized networks, and different cultures of philanthropism, new players have a complementary role that stimulates rather than dominates the process of social innovation.