How old is old? Revising the definition based on life table criteria

Sixty‐five has long been thought of as the point of entry into “old age.”; We propose a number of life table criteria for answering the following questions: If 65 was considered appropriate four decades ago, what is the corresponding age today? If 65 was (implicitly) a male‐oriented definition four decades ago, as we believe it was, what would have been the appropriate definition for women at that time, and what is it today? We address these questions by applying our criteria to Canada, using 1951 and 1991 life tables, but the criteria could be applied equally well to other countries. For other developed countries we would expect broadly similar results.     

Assessments of provincial mortality in China’s 2010 population census based on the Developing Countries Mortality Database model life table

Journal of Population Research - The provincial mortality data of China’s 2010 population census sustains the study of regional mortality disparities, but the data suffer from the...     

How Meaningful is the Elite Quality Index Ranking?

Social Indicators Research - The Elite Quality Index (EQx) attempts to measure the propensity of elites—on aggregate—to create value, rather than to rent seek. The index has attracted...     

How are the Kids Doing? How do We Know?

With a focus on the United States, this paper addresses the basic social indicators question: How are we doing? More specifically, with respect to children, how are our kids (including adolescents and youths) doing? These questions can be addressed by comparisons: (1) to past historical values, (2) to other contemporaneous units (e.g., comparisons among subpopulations, states, regions, countries), or (3) to goals or other externally established standards. The Child and Youth Well-Being Index (CWI), which we have developed over the past decade, uses all three of these points of comparison. The CWI is a composite index based on 28 social indicator time series of various aspects of the well-being of children and youth in American society that date back to 1975, which is used as a base year for measuring changes (improvements or deterioration) in subsequent years. The CWI is evidence-based not only in the sense that it uses time series of empirical data for its construction, but also because the 28 indicators are grouped into seven domains of well-being or areas of social life that have been found to define the conceptual space of the quality of life in numerous studies of subjective well-being. Findings from research using the CWI reported in the paper include: (1) trends in child and youth well-being in the United States over time, (2) international comparisons, and (3) best-practice analyses.     

Happiness Inequality: How Much is Reasonable?

We compute the Gini indexes for income, happiness and various simulated utility levels. Due to decreasing marginal utility of income, happiness inequality should be lower than income inequality. We find that happiness inequality is about half that of income inequality. To compute the utility levels we need to assume values for a key parameter that can be interpreted as a measure of relative risk aversion. If this coefficient is above one, as many economists believe, then a large part of happiness inequality is not related to pecuniary dimensions of life.     

“How Big is Big Enough?”

This article examines the representation of masculinity in Sex and the City through an analysis of the characters Big and Steve. Although the show is unique in that it presents female characters as the primary subjects of identification and presumes a female audience, it participates in the patriarchal project of measuring men, especially Big and Steve, against each other. At first, Big represents classic old-style phallic male character, the hero of both fairy tale and Hollywood romantic comedy. Steve, on the other hand, represents the new man, a flawed hero of modern relationship myths. However, throughout the course of the series, the illnesses of these two characters shift these representations. The series ultimately opens space for new representations of masculinity.     

Modeling Transition Rates Using Panel Current-Status Data: How Serious is the Bias?

Studies of disability dynamics and active life expectancy often rely on transition rates or probabilities that are estimated using panel survey data in which respondents report on current health or functional status. If respondents are contacted at intervals of one or two years, then relatively short periods of disability or recovery between surveys may be missed. Much published research that uses such data assumes that there are no unrecorded transitions, applying event-history techniques to estimate transition rates. In recent years, a different approach based on embedded Markov chains has received growing use. We assessed the performance of both approaches, using as a criterion their ability to reproduce the parameters of a “true” model based on panel data collected at one-month intervals. Neither of the widely used approaches performs particularly well, and neither is uniformly superior to the other.     

How powerful is demography? The Serendipity Theorem revisited

Introduced by Samuelson (Int Econ Rev 16(3):531–538, 1975), the Serendipity Theorem states that the competitive economy will converge towards the optimum steady-state provided the optimum fertility rate is imposed. This paper aims at exploring whether the Serendipity Theorem still holds in an economy with risky lifetime. We show that, under general conditions, including a perfect annuity market with actuarially fair return, imposing the optimum fertility rate and the optimum survival rate leads the competitive economy to the optimum steady state. That Extended Serendipity Theorem is also shown to hold in economies where old adults work some fraction of the old age, whatever the retirement age is fixed or chosen by the agents.     

Mortality and fertility: How large is the direct child replacement effect in China?

Olsen (1980) proposed a method for quantifying the fertility response to child mortality. He showed how to correct for bias in the OLS estimator. He also proposed the use of mortality rates as an instrumental variable. This method is applied here to a new Chinese microdata set. It appears that the method works well. The bias-corrected direct replacement effect based on the Chinese data is about 0.6, which is three times as large as the effects found by Olsen (1980, 1988) using data for Colombia and Malaysia. Several explanations are provided for this result.I am grateful to Frank Denton, Martin Dooley, Ronald Lee, Lonnie Magee, Byron Spencer and three anonymous referees for many helpful comments and suggestions. I would also like to thank the International Statistical Institute Research Center for supplying the data used in this study.     

How High is Hispanic/Mexican Fertility in the United States? Immigration and Tempo Considerations

In this article, I demonstrate that the apparently much higher fertility of Hispanic/Mexican women in the United States is almost exclusively the product of period estimates obtained for immigrant women and that period measures of immigrant fertility suffer from three serious sources of bias that together significantly overstate fertility levels: difficulties in estimating the size of immigrant groups; the tendency for migration to occur at a particular stage in life; and, most importantly, the tendency for women to have a birth soon after migration. When these sources of bias are taken into consideration, the fertility of native Hispanic/Mexican women is very close to replacement level. In addition, the completed fertility of immigrant women in the United States is dramatically lower than the level obtained from period calculations. Findings are consistent with classical theories of immigrant assimilation but are a striking departure from the patterns found in previous studies and published statistics. The main implication is that without a significant change in immigration levels, current projections based on the premise of high Hispanic fertility are likely to considerably exaggerate Hispanic population growth, its impact on the ethno-racial profile of the country, and its potential to counteract population aging.     

Poverty and Wellbeing at the ‘Grassroots’—How Much is Visible to Researchers?

This paper discusses the grassroots level understanding of poverty and wellbeing. There is rich debate and ever expanding literature on the meaning of wellbeing and poverty and their relationship in developing countries. In recent times wellbeing and poverty have been scrutinised within the discourse on multidimensionality of poverty. Most research outputs though are grounded in quantitative data. Investigations that focus on the perceptions and understandings of poor people about their situations remain sparse in the literature. The current study is an attempt to address this gap. The paper explores the common grounds and the points of departure between the researchers’ views of poverty and wellbeing and the perception at the grassroots. The paper presents findings of primary research conducted by the author in Dhar district of Madhya Pradesh and Madhubani district of Bihar in India. Semi-structured survey instruments were deployed to interview a selection of poor, marginal and non-poor households. In addition to identifying the commonalities in grassroots and researchers’ understandings of poverty, the paper draws attention to factors that may be outside the radar of the researchers. It is envisaged that mapping a more holistic understanding of poverty and wellbeing will have important long-term policy implications for poverty reduction.

How Poor is Poor? A novel look at multidimensional poverty in the UK

Social Indicators Research - The integrated nature of well-being produces difficulty in evaluating poverty levels and one issue is the neglected of human life aspects, multiple feedback loops, and...     

How high is infant mortality in central and eastern Europe and the commonwealth of independent states?

This paper examines the measurement of infant mortality in the countries of Central and Eastern Europe and the Commonwealth of Independent States (CIS). There are worrying indications that official infant mortality counts, based on administrative data, may understate the true gravity of the problem in 15 countries in the region, including 11 out of 12 CIS countries, and 4 countries in South Eastern Europe. In the case of eight CIS countries in the Caucasus and Central Asia plus Romania, the evidence is strongest, not least because surveys that allow independent estimation of infant mortality have been carried out there. In the case of the remaining six countries, the evidence is more circumstantial, and based on inconsistencies within the official data themselves, combined with information on how live births are defined. However, we find also that surveys are rather blunt instruments, and that the confidence intervals that surround estimates from these surveys are often large.     

How important is the family? Evidence from sibling correlations in permanent earnings in the USA, Germany, and Denmark

This paper is the first to analyze the impact of family background on permanent earnings based on sibling correlations in Germany and to provide a cross-country comparison of Germany, Denmark, and USA. The main findings are that family and community background has a stronger influence on permanent earnings in Germany than in Denmark, and a comparable influence is found in USA. This holds true for both male and female siblings. A deeper analysis of Germany shows that family background also plays an important role in explaining variations in family income, wages, education, and risk attitudes.     

How Far is Campania from the Best-Performing Region in Italy? A Territorial-Divide Analysis of Separate Waste Collection

Social Indicators Research - The aim of this paper is to investigate the divides in separate waste collection (SWC) between Campania and Veneto from a twofold perspective that considers both...     

How Wide Is the Income Gap in China?

Thanks to the introduction of the reform and opening up policy, China has achieved rapid economic development and recorded a significant rise in the income level of its urban and rural residents as a whole. However, the level of income varies from industry to industry, from rural to urban areas, and from region to region, and the gap is widening. Estimates show that the Gini coefficient (an economic indicator measuring disparities in personal income) in China was 0.424 in 1996, 0.456 in 1998,…