Developing Age-Friendly Cities: Case Studies From Brussels and Manchester and Implications for Policy and Practice

Developing environments responsive to the aspirations of older people has become a major concern for social and public policy. Policies and programs directed at achieving “age-friendly” communities are considered to require a wide range of interventions, including actions at the level of the social and physical environment. This article compares the age-friendly approaches of two European cities, Brussels and Manchester, with a particular focus on policies and initiatives that promote active aging in an urban context. The article examines, first, the demographic, social, and multicultural contexts of Brussels and Manchester; second, the way in which both cities became members of the World Health Organization Global Network of Age-Friendly Cities and Communities; third, similarities and differences in the age-friendly approaches and actions adopted by both cities; and fourth, opportunities and barriers to the implementation of age-friendly policies. The article concludes by discussing the key elements and resources needed to develop age-friendly cities.     

Multivariate normal estimation: the case (n < p)

Estimation in the multivariate context when the number of observations available is less than the number of variables is a classical theoretical problem. In order to ensure estimability, one has to assume certain constraints on the parameters. A method for maximum likelihood estimation under constraints is proposed to solve this problem. Even in the extreme case where only a single multivariate observation is available, this may provide a feasible solution. It simultaneously provides a simple, straightforward methodology to allow for specific structures within and between covariance matrices of several populations. This methodology yields exact maximum likelihood estimates.     

Driving in a dead-end street: critical remarks on Andrew Abbott’s <Emphasis Type="Italic">Processual Sociology</Emphasis>

In his book Processual Sociology (2016), Andrew Abbott proposes a radically new theoretical perspective for sociology. This review essay discusses the strengths and weaknesses of his “processual” approach, in comparison with other dynamic perspectives in sociology such as, in particular, Norbert Elias’s “process sociology.” It critically questions central ideas and arguments advanced in this book: the reduction of social processes to “events,” the focus on stability as the central explanandum of sociological theory, the implicit separation of individual and social processes, the proposition that the social world changes faster than the individual, the idea that “excess” rather than “scarcity” is the central problematic of human affairs, the strong emphasis on the inherent normativity of sociological concepts, the focus on values as the core of human social life, the neglect of human interdependence, power, coercion, and violence, and the distinction between “moral facts” and “empirical facts.” Detailed criticisms of the arguments in various chapters are given, and alternative viewpoints are proposed. The conclusion is that Processual Sociology fails to provide a fruitful approach for understanding and explaining social processes, and that it even represents, in several respects, theoretical regression rather than progress.     

The Administrative Capacity of New Types of Governance

Public Organization Review - New types of governance have emerged in modern society. They occur in several forms and are the product of the need to tackle new problems and the wish to reform...     

TAX POLICY AND INCOME INEQUALITY IN THE UNITED STATES, 1979–2007

This paper assesses the effects of U.S. tax policy reforms on inequality over around three decades, from 1979 to 2007. It applies a new method for decomposing changes in government redistribution into (1) a direct policy effect resulting from policy changes and (2) the effects of changing market incomes. Over the period as a whole, the tax policy changes increased income inequality by pushing up the income share of high‐income earners (the top 20%). (JEL H23, H31, H53, P16)     

Assumptions for long-term stochastic population forecasts in 18 European countries

The aim of the ‘Uncertain Population of Europe’(UPE) project was to compute long-term stochastic (probabilistic) population forecasts for 18 European countries. We developed a general methodology for constructing predictive distributions for fertility, mortality and migration. The assumptions underlying stochastic population forecasts can be assessed by analysing errors in past forecasts or model-based estimates of forecast errors, or by expert judgement. All three approaches have been used in the project. This article summarizes and discusses the results of the three approaches. It demonstrates how the—sometimes conflicting—results can be synthesized into a consistent set of assumptions about the expected levels and the uncertainty of total fertility rate, life expectancy at birth of men and women, and net migration for 18 European countries.     

Static versus dynamic analysis of the interaction between female labour-force participation and fertility

Numerous studies have found a negative relationship between female labour-force participation and fertility. In theory, there could be three explanations of this finding: (i) causality runs from labour-force participation to fertility, (ii) causality runs from fertility to labour-force participation, (iii) causality runs both ways. Alternatively, the relationship may not be a causal one. In practice, empirical studies covering a wide range of Western countries at different times, and utilizing a great variety of methods and techniques, have shown all four possibilities to be plausible. This may be because outcomes differ from country to country for socio-cultural reasons, or from period to period for historical ones. If so, applying various methodologies to data for one country at a particular point in time should yield consistent results that all point in one direction only. If they did not outcomes would appear to be method-dependent. The single data set used in this study refers to the Netherlands in 1984 (ORIN project). The relationship between fertility and labour-force participation in this data set is investigated by means of three methodologies, ranging from ‘static’ to ‘dynamic’, i.e., differing according to the degree in which they take the temporal aspects of the decision-making process underlying this relationship into account: simultaneous logit analysis, Granger analysis and Markov analysis. Each main approach is applied in two different ways or on two different subgroups, for a total of six applications. In spite of diverging operationalizations of the basic variables, it turns out that four of these six analyses favour the inference that fertility decisions do have an impact on labour force participation decisions but not the other way around, whereas the other two confirm earlier findings (from data sets collected during the 1970s) that the relationship is reciprocal. Substantively, this might indicate that the pattern of covariance is changing. But ‘static’ simultaneous logit analysis is the only method to consistently point at this causal unidirectionality, while outcomes from Granger and Markov analysis depend on the modality applied. Methodologically, this means that the issue of method-dependency, at least in this area, remains largely unresolved.     

On the estimation of multidimensional demographic models with population registration data

In this paper the estimation of multidimensional demographic models is investigated in situations where population registration data are available. With this kind of aggregate data, estimation by traditional methods is not possible. We look at two versions of the multidimensional model: the constant intensities model and the linear integration model. Some logical inconsistencies in the derivation of the latter are discussed. In particular, we argue that the linear integration model is not compatible with a Markov process. A new algorithm for the estimation of the constant intensities model with population registration data is proposed. Some preliminary results on the mathematical and statistical properties of this method are given. The algorithm is applied to Dutch nuptiality data.