monitoring
Students’ occupational aspirations: Can family relationships account for differences between immigrant and socioeconomic groups?
Child Development Abstract Immigrant background and disadvantaged socioeconomic background are two key predictors of poorer school achievement in Europe. However, the former is associated with higher wh
Mats Ingelström
CFO and Head of Research CoordinationTel: +46 8 402 12 00 (vx)E-mail: [email protected] In my role as the Manager of Research Coordination, I lead our team of research coordinators. Research at
What to lobby on? Explaining Why Large American Firms Lobby on the Same or Different Issues
Business and Politics Abstract What determines whether or not firms lobby on the same policy issues? Scholars offer two broad answers to this question. Firms that are (1) similar or (2) connected throug
Cooperation through collective punishment and participation
Political Science Research and Methods Abstract We experimentally explore the role of institutions imposing collective sanctions in sustaining cooperation. In our experiment, players only observe noisy
Applying spatial regression to evaluate risk factors for microbiological contamination of urban groundwater sources in Juba, South Sudan
Hydrogeology Journal 25(4) pp. 1077-1091, doi: 10.1007/s10040-016-1504-x Abstract This study developed methodology for statistically assessing groundwater contamination mechanisms. It focused on microbiahumanitarian aid organisation Médecins Sans Frontières in 2010. The factors included hydrogeological settings, land use and socio-economic characteristics. The results showed that the residuals of a conventional probit regression model had a significant positive spatial autocorrelation (Moran’s I =3.05, I-stat = 9.28); therefore, a spatial model was developed that had better goodness-of-fit to the observations. The mostsignificant factor in this model (p-value 0.005) was the distance from a water source to the nearest Tukul area, an area with informal settlements that lack sanitation services. It is thus recommended that future remediation and monitoring efforts in the city be concentrated in such low-income regions. The spatial model differed from the conventional approach: in contrast with the latter case, lowland topography was not significant at the 5% level, as the p-value was 0.074 in the spatial model and 0.040 in the traditional model. This study showed that statistical risk-factor assessments of groundwater contamination need to consider spatial interactions when the water sources are located close to each other. Future studies might further investigate the cut-off distance that reflects spatial autocorrelation. Particularly, these results advise research on urban groundwater quality.
Robert Erikson: Happiness or Resources?
Robert Erikson, professor at the Swedish Institute for Social Research (SOFI), Stockholm University. "Happiness or resources? On quality of life measures for official use" The seminar is based on prelim
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