Perceptions of Fortune and Misfortune in Older South African Households: Social Assistance and the ‘Good Life’

It is commonly assumed that better living standards will boost subjective well-being. The post-apartheid South African government subscribes to this idea; its social policies aim to provide ‘a better life for all’. Since the coming of democracy in 1994, the state has built over 3 million houses and supplied electricity and clean water to poor households. By 2009, an estimated 43 % of households were beneficiaries of social grants. The question is whether this investment in services and social assistance translates into higher well-being of citizens. It is argued that older people’s experience of positive change in their life circumstances can be taken as a litmus test of progress in society. The paper reports results of a sample survey conducted in 2009 that inquired into the living circumstances and well-being of 1,000 older low-income households in two provinces linked by a labour migration route. Older households were defined as ones with a member 55 years and older. The sample was drawn among three approximately equal-sized subgroups: Rural black households in the former ‘homelands’ of the Eastern Cape Province, and black and coloured households in Cape Town in the Western Cape Province. The majority of the households in the survey had been interviewed in an earlier survey conducted in late 2002. Both material and non-material changes had occurred in the household situation over the 6-year period between 2002 and 2009. Access to housing and infrastructure had improved but financial difficulties and debts continued to plague many of the surveyed households. Rural black households appeared to be worst off among the three categories of older households with the lowest level of living; coloured households best situated with the highest level of living. Urban black households, many of whom were immigrants to Cape Town, appeared to have experienced the greatest fluctuations in their material circumstances between 2002 and 2009 and a mix of fortune and misfortune. Results indicated that social grants, which provided a modicum of financial security and peace of mind, made the crucial difference between fortune and misfortune for vulnerable households. Securing a social pension and other grants appeared to be the main route to good fortune for the rural households in the study. Households in Cape Town required wage income in addition to grant income to get by in the city. This mix of income sources diluted urban households’ dependence on social assistance. Regression model results suggest that income and financial security play a significantly more important role in boosting the well-being of low-income older households than access to services. Pooling of income, a common practice in pensioner households, contributed significantly to household satisfaction.     

New household projections for the united states

This paper reviews the methods used to prepare the new household projections for the United States that were recently issued by the Bureau of the Census and examines the effect on the resulting number of households of the assumptions made about future marriages and future proportions of household heads in the population.One population projection series was used, since all series are identical for the adult population. Marriage assumptions were generated by assuming various outcomes of the marriage squeeze (defined as the excess of females relative to the number of males in the main ages at marriage in the next few years). Assumptions about proportions of household heads were generated by assuming, in varying degrees, continuation of recent trends in these proportions.Projected changes in marriage and in the proportions of household heads in the population account for one-fourth to one-third of the projected increase in the number of households; the remaining increase is attributable to projected changes in the size and structure of the adult population. Varying the assumed proportions of household heads produces greater differences in the projected total number of households than does varying the marriage assumptions used here. Nevertheless, the various possible outcomes of the marriage squeeze, as represented by the assumptions used, produce significantly different projections of increases in the number of young husband-wife households.The most striking finding is that by 1985, proportions of household heads among the population not "married, spouse present" may well rise to such a level that over the long term, the smaller the number of persons who marry, the larger will be the number of households.     

Climate change and internal migration intentions in the forest-savannah transition zone of Ghana

Migration is at the centre of demographic research on the population–environment nexus. Increasing concerns about the impacts of environmental events on human population are fuelling interest on the relationship between migration and environmental change. Using data from the Climate Change Collective Learning and Observatory Network Ghana project, we employ binary logistic regression to examine migration intentions of households in response to major community stressors including climate-related ones. The results indicate that the type of community stressor that affects households most does not differentiate migration intentions in Ghana’s forest-savannah transition zone: Even though the majority of the respondents mentioned climate-related events as the stressor that affects them the most, such events do not appear to directly explain migration intentions. However, socio-demographic factors such as age, household size and current migration status are significant predictors of migration intentions, with younger household heads, heads of migrant households and heads of smaller households being relatively more likely to have migration intentions than other household heads. We conclude that migration drivers are multifaceted and deserve further research because even in areas with perceived environmental stress, climate-related events may not be the primary motivation for migration intentions.     

户籍管制放松、就读地选择与进城家庭教育支出

本文利用中国家庭收入项目调查数据(CHIP2007),运用Two-Part模型研究户籍管制放松是否影响以及如何影响有7~16岁在读子女进城家庭的教育支出行为。研究发现,户籍管制放松会影响进城家庭子女就读地选择;对于有子女在城市就读的进城家庭,户籍管制放松对其教育支出水平的影响取决于家庭收入,放松户籍管制将会降低低收入进城家庭的教育支出份额,但会提高高收入进城家庭的教育支出份额,具体影响大小因家庭收入水平的不同而存在差异;在总样本均值处,户籍管制放松1个百分点,进城家庭教育支出将减少1.3945个百分点。在推进新型城镇化建设的背景下,放松户籍管制的意义不仅在于促进教育公平,更在于加快人口城镇化步伐、改善进城家庭消费结构和提振国内消费。     

U.S. Family Household Momentum and Dynamics: An Extension and Application of the ProFamy Method

The classic headship-rate method for demographic projections of households is not linked to demographic rates, projects a few household types without size, and does not deal with household members other than heads. By comparison, the ProFamy method uses demographic rates as input and projects more detailed household types, sizes, and living arrangements for all members of the population. Tests of projections from 1990 to 2000 using ProFamy and based on observed U.S. demographic rates before 1991 show that discrepancies between our projections and census observations in 2000 are reasonably small, validating the new method. Using data from national surveys and vital statistics, census microfiles, and the ProFamy method, we prepare projections of U.S. households from 2000 to 2050. Medium projections as well as projections based on smaller and larger family scenarios with corresponding combinations of assumptions of marriage/union formation and dissolution, fertility, mortality, and international migration are performed to analyze future trends of U.S. households and their possible higher and lower bounds, as well as enormous racial differentials. To our knowledge, the household projections reported in this article are the first to have found empirical evidence of family household momentum and to have provided informative low and high bounds of various indices of projected future households and living arrangements distributions based on possible changes in demographic parameters.     

Aging children and their older parents: the coming generation of caregiving

This study uses a data set of older children and their older parents to examine caregiving relationships. Using the 1993 Panel Study of Income Dynamics and the 1993 Health Care Burden file, we examine help given by children to their parents. We distinguish between daughters who are household heads and daughters who are wives. We find parents receive substantially more care from daughters than from sons. The caregiving role of daughters who are household heads differs notably from that of wives. An analysis of caregiving, employment, and house-work shows that children who are caregivers devote more combined hours to these activities than children who do not provide care.     

Family planning and deforestation: evidence from the Ecuadorian Amazon

Despite an abundant literature exploring the relationship between population growth and forest cover change, comparatively little research has examined the forest cover impacts of family planning use—a key determinant of population growth rates in many developing countries. Using data from a panel survey of farms in the Northern Ecuadorian Amazon, this paper explores whether family planning use affects changes in forest cover. After controlling for household life cycle effects, family planning use among female heads of farm households did not have an independent effect on deforestation, reforestation, or net forest loss between 1990 and 2008. Rather, shorter-term drivers of forest change tend to be associated with household life cycles and shifts in production and consumption. However, family planning will continue to improve development and health outcomes for women by reducing unwanted fertility and may offer longer-term environmental benefits.     

The index of overall headship: A simple measure of household complexity standardized for age and sex

This paper develops and tests an age-sex standardized measure of household complexity, defined broadly as the tendency of adults (other than spouses) to head their own households or to share households. The aim is a measure of household complexity which can be computed with a minimum of demographic data, namely, data on number of households and on the population by age and sex. The procedure is similar to that of Coale for fertility measurement (Coale, 1969); it is a form of indirect standardization in which the actual number of households is related to the number that would exist if maximum age-sex-specific household headship rates were to apply. Various forms of this indirectly standardized measure show a correlation of better than 0.9 with directly standardized measures for a sample of 33 nations for which requisite data are available. The new measure promises to extend considerably the geographical and temporal range of comparable empirical measures of household complexity.     

Aging Children and Their Older Parents: The Coming Generation of Caregiving

ABSTRACT

This study uses a data set of older children and their older parents to examine caregiving relationships. Using the 1993 Panel Study of Income Dynamics and the 1993 Health Care Burden file, we examine help given by children to their parents. We distinguish between daughters who are household heads and daughters who are wives. We find parents receive substantially more care from daughters than from sons. The caregiving role of daughters who are household heads differs notably from that of wives. An analysis of caregiving, employment, and housework shows that children who are caregivers devote more combined hours to these activities than children who do not provide care.     

Discount rate heterogeneity among older households: a puzzle?

We put forward a method for estimating discount rates using wealth and income data. We build consumption from these data using the budget constraint. Consumption transitions yield discount rates by household groups. Applying this technique to a sample of older households, we find a similar distribution to those previously estimated using field data, though with a much lower mean than those found using experiments. Surprisingly, among this older population, patience is negatively correlated with education and numeracy. This goes against the positive correlation found for younger populations in experiments and some field studies. We discuss potential explanations for this result.     

Poverty in the Philippines: the impact of family size

The people of Asia are beginning to realize that lower fertility translates into increased family wealth and educational attainment. This is the message that population and development efforts have been focusing on. In the Philippines, the goal is to lower fertility with a strategy based on the assumption that increased capacity of the economy will support a growing population at a higher standard of living. In the Philippines, over 33% of the households have 7 or more family members, while 20% of urban and 27% of rural households have 4 or more. The risk of poverty associated with increased number of children are 44-50% for 1 child and 60-78% for those with 5. Households spend up to 10% of their total income to raise 1 child, 18% for 2, and 26% for 4 children. Because many families lack the resources to raise children the per child share drops dramatically with each child, a household with 4 children spends 25% less per child than does 1 with 2 children. Occupation also affects income as the highest poverty rates are among heads of household who are: laborers (60%) and agricultural workers (73%). The best solution is an integrated approach with increases in family planning, education, and agricultural reform.     

The dynamics of homeownership among the 50+ in Europe

We use life history data covering households in 13 European countries to analyse residential moves past the age of 50. We observe four types of moves: renting to owning, owning to renting, trading up or trading down for homeowners. We find that in the younger group (aged 50–64), trading up and purchase decisions prevail; in the older group (65+), trading down and selling are more common. Overall, moves are rare, particularly in countries characterised by high transaction costs. Most moves are driven by changes in household composition (divorce, widowhood, nest leaving by children), but economic factors play a role: low-income households who are house-rich and cash-poor are more likely to sell their home late in life.     

Time Poverty Thresholds and Rates for the US Population

Time constraints, like money constraints, affect Americans’ well-being. This paper defines what it means to be time poor based on the concepts of necessary and committed time and presents time poverty thresholds and rates for the US population and certain subgroups. Multivariate regression techniques are used to identify the key variables associated with discretionary time and time poverty. The data confirm the idea that individuals in households with children have less discretionary time and are thus more likely to be time poor than those in households without children. Controlling for other household characteristics, an additional child reduces a household adult’s daily discretionary time by 35 min. Surprisingly, while one might expect the necessary and committed activities required of an individual to be less in a two-adult household with children than in a one-adult household with children because child care can be shared, the data show that the presence of such a second adult only marginally reduces the necessary and committed time burden of an individual household member. Perhaps even more surprisingly, household income is not a statistically significant correlate of discretionary time or time poverty.     

Demographic Dynamics and Per Capita Environmental Impact: Using Panel Regressions and Household Decompositions to Examine Population and Transport

This paper examines how demographic changes can help explain changes/differences in personal transport using both International Energy Agency country panel regressions and decompositions of U.S. household data. An environmental Kuznets curve for per capita road energy use was rejected; instead, the relationship between income and road energy was found to be monotonic. The ideas that more densely populated countries have less personal transport demands, the young drive more, and smaller households mean higher per capita driving were confirmed. The household decompositions indicated that changes in demand were more important than compositional changes; yet, during some periods the compositional change component was considerable.     

Children's residence patterns and educational attainment in rural South Africa, 1997

Using data collected by the Agincourt Health and Population Programme in a rural sub-district of South Africa's Northern Province, this paper describes the residential arrangements of a population in rural South Africa, and analyses the impact of these arrangements on children's educational attainment. Children with co-resident parents generally have higher levels of schooling than those who have one or no co-resident parents. However, having a father who is away from home as a migrant appears to benefit older children whereas, for girls aged 11 to 15, having a mother who is a migrant lowers educational attainment. Children who live in households headed by Mozambican refugees have lower levels of schooling than those who live in non-refugee households. Living in a household headed by a woman is not associated with lower levels of education and, for some age-sex groups, appears to be an advantage.     

Layoffs and Urban Poverty in the State-Owned Enterprise Communities in Shaanxi Province,China

This paper applies a mixed methods approach that combines qualitative and quantitative methods to examine urban poverty in China’s state-owned enterprise communities where laid-off workers concentrate. A sequential explanatory model using interviews, Participatory Poverty Assessments and a community household survey on textile and military industries in Shaanxi Province of north-western China shows that low-income households suffered multidimensional disadvantages. Qualitative techniques have helped to reveal the hidden aspects of poverty while statistical tools have captured holistic information on the communities. These approaches together (Q-squared) consider both the outsiders’ and insiders’ views on the laid-off poor and benefit the making of effective anti-poverty policies.     

On the relationship between household composition and population age distribution

Summary Composition of households by age of head and by age of other household members has recently been presented in a convenient algebraic expression, the household composition matrix. It has been shown that this matrix operates as a linear transformation from the vector of household distribution by age of head to the vector of population age distribution. A further analysis will show that the first row of the matrix may be interpreted as representing a vector of average household fertility rates. If the linear relationship between household and population distributions is fully implemented, then a relationship between household fertility and the size of the youngest age group can be derived. If w is the population age distribution and w (1) is the number of persons in the youngest age group, then: where α is the first row of the household composition matrix with its first element eliminated, C is the household composition matrix with its first row and first column eliminated, and Ψ is the vector w with its first element, w (1) eliminated. Extension of this result will enable simultaneous projection of population and households, suitable for computer application to conventional five-year age groups.     

Trajectories of Fertility and Household Composition in the Demographic Profile of the Czech Republic

The household composition matrix is a representation of the demographic structure of households, specific to age groups of household members and household heads. As such, the matrix reflects also the environmental conditions, housing in particular, that mould households' demographic structure. By specifically depicting the presence of children in households, household composition could be viewed as gauging fertility within the context of housing conditions. This stance is examined in an application to Czech census data for the year 1991, at the commencement of an intense process of socio-economic transformation that accompanied the collapse of communism across Eastern Europe. Within this process, housing had an inadvertent impact upon the structure of households in general, and upon fertility decline in particular. By using the standard matrix representation of household composition, correspondence between trajectories of age-specific fertility and household composition emerge throughout the Czech Republic. This correspondence illustrates the potential household composition analysis carries for fertility measurement and estimation in rapidly changing economic environments.     

Public assistance receipt among immigrants and natives: How the unit of analysis affects research findings

Differences between immigrant and native households in rates of welfare receipt depend on nativity differences in individual-level rates of receipt, in household size, in mean number of recipients in receiving households, and in household nativity composition. We present algebraic derivations of these relationships and use data from the 1990 and 1991 panels of the Survey of Income and Program Participation to examine empirically the extent to which levels of welfare receipt for immigrants and natives are sensitive to the use of household-, family-, or individual-level units of analysis or presentation. The findings show that nativity differences are statistically significant only at the level of larger units. The results also indicate that if immigrants and natives had identical living arrangements, immigrants' household-level receipt of Supplemental Security Income would significantly exceed natives' receipt even more than it actually does, but the nativity difference in receipt of Aid to Families with Dependent Children (AFDC) would reverse directions. Moreover, the level of AFDC receipt of immigrant households falls significantly below that of native households when native-born children living in households headed by immigrants are treated as if they were foreign born.     

An Application of Partial Least Squares to the Construction of the Social Institutions and Gender Index (SIGI) and the Corruption Perception Index (CPI)

This paper discusses households’ food insecurity among low income, poor urban households in and around the City of Tshwane, South Africa’s capital city. Using systematic random sampling with sampling interval of three, primary data were collected from 900 selected households, though only data from 827 households were analyzed following a rigorous coherence tests. The survey was conducted in Attridgeville, Soshanguve, and Tembisa. In the process, the study employed the use of two-way analyses of variance to explain differences between actual and expected household food security perceptions and those of severe, moderate and mild food insecurity. A favourable (adverse) variance could be interpreted to imply that means for achieving household food security are lower (higher) than predicted or that food security is higher (lower) than expected given the same level of main determinants. The observed variance is partitioned into components attributable to different sources of variation. ANOVA provides a statistical test of whether or not the means of several groups experiencing favourable (adverse) variances are equal. The main findings are that variances in the population means of households’ experiences of food insecurity vary by income class of the head of household, engagement in formal or informal income sources and by categories of social grants received. Poorer households that depend largely on cash income for food purchases experience highest food security variances and those receiving state pension. As such, timely receipt of household income under conditions of unimpeded access to social grants will improve urban poor households’ food security. The level of educational attainment has a very strong impact on a household’s food security. Those with “no schooling” have the lowest level of food security. Experiencing high variances in access to child grants, and low incomes, younger female household heads experience the highest degree of variances in food security and should be particularly targeted in an effective food security policy plan. Negative food security variance among these categories of South Africans could be devastating.