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81.
This paper explores a wide range of cross-country determinants of life satisfaction exploiting a database of 90,000 observations in 70 countries. We distinguish four groups of aggregate variables as potential determinants of satisfaction: political, economic, institutional, and human development and culture. We use ordered probit to investigate the importance of these variables on individual life satisfaction and test the robustness of our results with Extreme Bounds Analysis. The results show that only a small number of factors, such as openness, business climate, postcommunism, the number of chambers in parliament, Christian majority, and infant mortality, robustly influence life satisfaction across countries while the importance of many variables suggested in the previous literature is not confirmed. This remains largely true when the analysis splits national populations according to gender, income, and political orientation also. We thank Stephen Lea, participants at the 30th IAREP conference in Prague and the referees of this journal for comments on earlier versions. Gilles Winkler provided excellent research assistance.  相似文献   
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In this article I argue that quality ratings can be conceptualized as reflecting the extent to which departments are visible to outside raters. Using cross-sectional as well as panel data on sociology departments from the two latest surveys of graduate education published by the National Research Council in 1982 and 1995, I explain departmental quality ratings in terms of measures that reflect a department’s visibility, such as its faculty productivity, size, age, and location at an elite-status university. While the results of the cross-sectional and the longitudinal models tell different stories, the two are not incompatible. Specifically, both models suggest strong effects of departmental size and age. By comparison, the estimated effects of faculty productivity and location at an elite-status university are weaker and significant only in the cross-sectional model. An earlier version of this paper was presented at the annual meeting of the American Sociological Association, New York, NY, August 1996. This research was conducted under a FLAS fellowship from the U.S. Department of Education. I wish to thank Lowell Hargens for helpful comments and advice.  相似文献   
84.
A function \(f:V(G)\rightarrow \mathcal P (\{1,\ldots ,k\})\) is called a \(k\) -rainbow dominating function of \(G\) (for short \(kRDF\) of \(G)\) if \( \bigcup \nolimits _{u\in N(v)}f(u)=\{1,\ldots ,k\},\) for each vertex \( v\in V(G)\) with \(f(v)=\varnothing .\) By \(w(f)\) we mean \(\sum _{v\in V(G)}\left|f(v)\right|\) and we call it the weight of \(f\) in \(G.\) The minimum weight of a \( kRDF\) of \(G\) is called the \(k\) -rainbow domination number of \(G\) and it is denoted by \(\gamma _{rk}(G).\) We investigate the \(2\) -rainbow domination number of Cartesian products of cycles. We give the exact value of the \(2\) -rainbow domination number of \(C_{n}\square C_{3}\) and we give the estimation of this number with respect to \(C_{n}\square C_{5},\) \((n\ge 3).\) Additionally, for \(n=3,4,5,6,\) we show that \(\gamma _{r2}(C_{n}\square C_{5})=2n.\)   相似文献   
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The relative earnings growth for immigrants in Norway is computed. Unlike Hayfron (1998, this journal) we define immigrants by country of origin rather than citizenship and perform separate studies of immigrants from inside and outside the OECD region. Replicating Hayfron op.cit. we find that the earnings assimilation is considerably weaker. Further, we find that the earnings of OECD immigrants are comparable to those of natives, while Non-OECD immigrants earn considerably less than natives at the time of entry, but that their relative earnings improve gradually over time. Earnings of different immigrant cohorts converged from 1980 to 1990, indicating a non-linear rate of assimilation. Received: 7 April 2000/Accepted: 4 January 2001  相似文献   
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This article deals with perceived quality of life and its relationship to sociodemographic background variables in Norway. We try to answer two questions, viz (1) to what extent does the absolute level of quality of life as well as the relationships between quality of life and individual-level sociodemographic variables vary between Norwegian counties? and (2) are such variations related to specific characteristics of the various counties? Some between-county variation is found, but in most cases the pattern of variation is not replicated across surveys. For variation in the absolute level of QOL as well as in the relationship between an individual's education and QOL, however, there is a moderate degree of stability. Contextual analyses show that the relationship between education and QOL is positive and moderately strong in affluent counties, near zero or negative in economically more backward areas. The results are interpreted within the framework of a person-environment fit model.  相似文献   
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