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Social Mobility in Europe is the most comprehensive study to date
of trends in intergenerational social mobility. It uses data from
11 European countries covering the last 30 years of the twentieth
century to analyze differences between countries and changes
through time.
An introductory account of the concept of class stratification, of contemporary approaches to the study of class, and of current debates about its role in the study of society. Definitions and an analysis of different theoretical approaches to class are accompanied by empirical material which compares the class structures of a range of countries and examines social mobility in cross-national perspective.
An introductory account of the concept of class stratification, of contemporary approaches to the study of class, and of current debates about its role in the study of society. Definitions and an analysis of different theoretical approaches to class are accompanied by empirical material which compares the class structures of a range of countries and examines social mobility in cross-national perspective.
The Republic of Ireland in 1958 abandoned its self-imposed isolation from the modern world for the promise of social and economic progress. State initiatives to promote industrial development coincided with an expanding world economy, and served to promote rapid and radical change in almost every aspect of Irish society. However, the massive growth served to reinforce, not weaken the class barriers, and the policies of successive governments generated change without achieving economic prosperity. The aim of this study is to assemble and interpret these economic and social changes since 1960, placing them in the context of the Irish experience since independence, and comparing Ireland's problems and economic progress to that of other developed countries. The authors argue that the late and rapid economic development transformed the Republic of Ireland without securing either economic prosperity or equality of opportunity.
What techniques can social scientists use when an outcome variable for a sample (for example, y) is not representative of the population for which generalized results are preferred? Author Richard Breen provides an introduction to regression models for such data, including censored, sample-selected, and truncated data. Regression Models begins with a discussion of the Tobit model and examines issues such as maximum likelihood estimation and the interpretation of parameters. The author next discusses the basic sample selection model and the truncated regression model. Elaborating on the modeling of censored and sample-selected data via maximum likelihood, he shows the close links between the models introduced and other regression models for non-continuous dependent variables, such as the ordered probit. Concluding with an exploration of some of the criticisms of these approaches and difficulties associated with them, this volume gives readers a guide to the practical utility of these models.
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