How does Conflict in Migrants’ Country of Origin Affect Remittance‐Sending? Financial Priorities and Transnational Obligations Among Somalis and Pakistanis in Norway

This article examines how conflict in the country of origin interacts with other factors in shaping migrants’ remittance‐sending practices. Our data come from a survey of 10 immigrant groups in Norway and semi‐structured interviews with Somali and Pakistani remittance‐senders and receivers. First, we conduct an in‐depth comparison to explore the differences in how Somali and Pakistani migrants decide about remittance‐sending. Second, we use survey data on all 10 migrant groups to evaluate whether the differences that are not explained by socioeconomic characteristics, may partly reflect whether or not there is ongoing conflict in the country of origin. In our analyses we differentiate between (1) the effect of migrants’capacity to remit and their prioritizing of local and transnational expenditures, and (2) the impact of state collapse and absence of human security on migrants’ and refugees’desire to remit. We find that ongoing conflict in the country of origin exerts an upward pressure on remittance‐sending.     

Changes in preschool children’s social engagement positively predict changes in social competence: A three‐year longitudinal study of portuguese children

To test the hypothesis that social engagement is a foundational aspect of other peer social competence indicators during early childhood, 160 Portuguese preschool children (“3‐year‐olds”) were observed at least in two different school years, using a battery of validated social competence assessments based on direct observations and child interviews. Multilevel growth models tested whether social engagement predicted initial values and linear changes in the other social competence indicators. Results were consistent with the hypothesis, insofar as both initial values and changes in social engagement significantly predicted initial values and changes in other social competence indicators. Additionally, the number of children's reciprocated friendships was also predicted by social engagement. These results are discussed from the perspectives of conceptual frameworks that consider individual differences in social competence during early childhood as a consequence of attachment histories and/or emotional competence.     

Quantitative Storytelling in the Making of a Composite Indicator

The reasons for and against composite indicators are briefly reviewed, as well as the available theories for their construction. After noting the strong normative dimension of these measures—which ultimately aim to ‘tell a story’, e.g. to promote the social discovery of a particular phenomenon, we inquire whether a less partisan use of a composite indicator can be proposed by allowing more latitude in the framing of its construction. We thus explore whether a composite indicator can be built to tell ‘more than one story’ and test this in practical contexts. These include measures used in convergence analysis in the field of cohesion policies and a recent case involving the World Bank’s Doing Business Index. Our experiments are built to imagine different constituencies and stakeholders who agree on the use of evidence and of statistical information while differing on the interpretation of what is relevant and vital.

     

Corporate social responsibility and governance

Journal of Management and Governance -     

Modeling rare events through a pRARMAX process

7 and 8 introduce a power max-autoregressive process, in short pARMAX, as an alternative to heavy tailed ARMA when modeling rare events. In this paper, an extension of pARMAX is considered, by including a random component which makes the model more applicable to real data. We will see conditions under which this new model, here denoted as pRARMAX, has unique stationary distribution and we analyze its extremal behavior. Based on Bortot and Tawn (1998), we derive a threshold-dependent extremal index which is a functional of the coefficient of tail dependence of 14 and 15 which in turn relates with the pRARMAX parameter. In order to fit a pRARMAX model to an observed data series, we present a methodology based on minimizing the Bayes risk in classification theory and analyze this procedure through a simulation study. We illustrate with an application to financial data.