Can self-assessments of health reveal the true health differentials between ‘rich’ and ‘poor’? The potential sources of bias include psychological adaptation to ill-health, socioeconomic covariates of health reporting errors and income measurement errors. We propose an estimation method to reduce the bias by isolating the component of self-assessed health that is explicable in terms of objective health indicators and allowing for broader dimensions of economic welfare than captured by current incomes. On applying our method to survey data for Russia we find a pronounced (nonlinear) economic gradient in health status that is not evident in the raw data. This is largely attributable to the health effects of age, education and location.
We focus on one of these aspects of value theory that has remained relatively underexposed, namely the relation between individual social location and human values. Does one’s position in the social structure—indicated by socio-demographic variables such as age, gender, education and income—affect the values that one prioritizes? We pay special attention to the cross-cultural robustness of the relation between social location and values: Can similar patterns be detected in various European countries? Or do cross-national differences in the relation between structure and values depend on elements of the national context?
We depart from Schwartz’ (1992, 1994, 2006) theory of human values, and make use of the value scale included in the European Social Survey (ESS). We believe that this study adds up to existing research in various ways. First, an exceptionally wide range of European countries is taken into account, including various Eastern European countries. Second, we take up the issue of the cross-cultural equivalence of the measurements. Prior to substantive analysis, we test to what extent different cultural interpretations of values affect the validity of cross-national comparisons. Third, to the best of our knowledge, this is the first study that explicitly addresses the question whether national context affects the relation between social location and values.
This article is talking about state management and cultural policy, their nature and content in term of the new tendency - development of postindustrial society. It mentioned here, that at the moment cultural policy is the base of regional political activity and that regions can get strong competitive advantage if they are able to implement cultural policy successfully. All these trends can produce elements of new economic development.
Using the cross-country ESS (2008) data file, the author explores welfare attitudes of population of European countries. The paper argues that expectations associated with the social policy and willingness to accept higher taxation in order to receive more benefits as well as the gap between these two depend on institutional characteristics of the countries. Poor institutions feed corruption and fiscal illusion, therefore generating misperceptions and free rider behavior.
We address the external effects on public sector efficiency measures acquired using Data Envelopment Analysis. We use the health care system in Russian regions in 2011 to evaluate modern approaches to accounting for external effects. We propose a promising method of correcting DEA efficiency measures. Despite the multiple advantages DEA offers, the usage of this approach carries with it a number of methodological difficulties. Accounting for multiple factors of efficiency calls for more complex methods, among which the most promising are DMU clustering and calculating local production possibility frontiers. Using regression models for estimate correction requires further study due to possible systematic errors during estimation. A mixture of data correction and DMU clustering together with multi-stage DEA seems most promising at the moment. Analyzing several stages of transforming society’s resources into social welfare will allow for picking out the weak points in a state agency’s work.