Growth Promotion Activities in Rural Areas: Do They Make a Difference?1

Abstract Can leaders in small towns and surrounding areas actually influence local economic and demographic growth? Competing views but few studies of this issue characterize recent debates about the effects of “growth machines” in local areas. This paper uses alternative indicators of growth during the 1980s for a sample of local areas in rural Pennsylvania to examine the effects of development efforts, controlling ecological and structural characteristics. The analysis considers local participation in state programs and maintenance of a favorable business climate as well as measures of local growth promotion for business and industry, recreation and tourism, development of forest products, and services development. Hierarchical regressions, taking account of the statistically dominant effects of ecological and structural variables, show that local efforts can influence local growth.     

Creating egalitarian families among the adult children of Turkish- and Polish-origin immigrants in Sweden

This article analyzes the factors shaping egalitarian family relationships among those with two Swedish‐born parents and those with at least one parent born in Poland or Turkey. We ask: (1) What factors affect sharing domestic tasks and do they also shape the division of child care responsibilities? (2) Do these effects differ, depending on the extent of exposure to Swedish life? We analyze data from a longitudinal survey conducted between 1999 and 2003. Holding egalitarian work–family attitudes affects actual sharing of housework, but much more for those growing up in more socially integrated than in less integrated families.     

Utilization of administrative files in health research

Many authors have suggested that administrative health data files could provide the solution to the well-known research problem of obtaining data about volunteer subjects. However, many authors have failed to achieve satisfactory results because the use of these data files leads to special difficulties. Thus, unless the proper methodology is applied, use of health data files does not produce valuable results. In this paper we propose a conceptual framework which can be used to examine the suitability of health data files. More specifically, five aspects are discussed: (1) research team knowledge and skills; (2) identification and documentation of an accessible file; (3) file adequacy to answer the research question; (4) data quality; and (5) data processing. This conceptual framework should help health policy planners and researchers to better identify the problems they will meet and to find adequate solutions to these problems before embarking on the venture of using public data files.     

Investing in children’s education: are Muslim immigrants different?

Using a unique data set on immigrants living in France in 2003, we investigate whether Muslims invest differently in their children’s education compared to non-Muslims. In particular, we want to assess whether educational inequalities between the children of Muslim and non-Muslim immigrants stem from differences between or within families. After controlling for a broad set of individual and household characteristics, we find no difference in education between children of different religions. However, we do find more within-family inequality in children’s educational achievements among Muslims relative to non-Muslims. The within-family variance is 15 % higher among Muslims relative to Catholics and 45 % higher relative to immigrants with other religions, but the intra-family inequality remains difficult to explain. Overall, our results suggest that Muslim parents tend to redistribute their resources more unequally among their children.     

Digital Games as a Context for Children's Cognitive Development: Research Recommendations and Policy Considerations

We document the need to examine digital game play and app use as a context for cognitive development, particularly during middle childhood. We highlight this developmental period as 6- through 12-year olds comprise a large swath of the preadult population that plays and uses these media forms. Surprisingly, this age range remains understudied with regard to the impact of their interactive media use as compared to young children and adolescents. This gap in knowledge about middle childhood may reflect strong and widely held concerns about the effects of digital games and apps before and after this period. These concerns include concurrent and subsequent influences of game use on very young children's and adolescents’ cognitive and socioemotional functioning. We highlight here what is currently known about the impact of media on young children and adolescents and what is not known about this impact in middle childhood. We then offer recommendations for the types of research that developmental scientists can undertake to examine the efficacy of digital games within the rapidly changing media ecology in which children live. We conclude with a discussion of media policies that we believe can help children benefit from their media use. Our hope is that this review will foster greater investigation of the cognitive socialization, as raised over 20 years ago by developmental psychologist and early games researcher Patricia Greenfield, that digital games serve during the middle childhood period, and childhood more generally.     

Optimal SIR algorithm vs. fully adapted auxiliary particle filter: a non asymptotic analysis

Particle filters (PF) and auxiliary particle filters (APF) are widely used sequential Monte Carlo (SMC) techniques. In this paper we comparatively analyse, from a non asymptotic point of view, the Sampling Importance Resampling (SIR) PF with optimal conditional importance distribution (CID) and the fully adapted APF (FA). We compute the (finite samples) conditional second order moments of Monte Carlo (MC) estimators of a moment of interest of the filtering pdf, and analyse under which circumstances the FA-based estimator outperforms (or not) the optimal Sequential Importance Sampling (SIS)-based one. Our analysis is local, in the sense that we compare the estimators produced by one time step of the different SMC algorithms, starting from a common set of weighted points. This analysis enables us to propose a hybrid SIS/FA algorithm which automatically switches at each time step from one loop to the other. We finally validate our results via computer simulations.