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.     

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.     

Projections of households and household populations by household size propensities

This paper describes a method for constructing projections of numbers of households of various types and the numbers of people in that structure. The method uses the concept ofhousehold size propensity, that is the probability that a person of given age and sex resides in a household of sizea, c, wherea is the number of adults per household andc is number of children per household. Using data from the 1981 and 1986 Censuses and population projections to the year 2011, the method produces projections of Australian households and household populations by size of household for five-year intervals from 1991 to 2011. The research reported in this paper arose out of the University of Melbourne’s research program to study the structure, economics and technology of households. This research began in 1986 at the Centre for Applied Research on the Future in the Department of Architecture and Building and from 1991 has been continued by the Households Research Unit in the Department of Economics. Reports of this work are contained in the collection of essaysHouseholds Work edited by Ironmonger (1989) and in discussion papers issued by the Centre for Applied Research on the Future by Ironmonger (1987), Jennings (1989) Sonius (1989) and Ironmonger and Richardson (1991). The authors wish to thank Roger Jones of the Social Sciences Data Archive for running some cross tabulations on the 1981 Census one per cent sample tape, Vic Jennings of the Households Research Unit for his valuable contributions in a number of discussions, and the referees to thisJournal for numerous helpful suggestions.     

Household and Living Arrangement Projections at the Subnational Level: An Extended Cohort-Component Approach

This article presents the core methodological ideas and empirical assessments of an extended cohort-component approach (known as the “ProFamy model”), and applications to simultaneously project household composition, living arrangements, and population sizes–gender structures at the subnational level in the United States. Comparisons of projections from 1990 to 2000 using this approach with census counts in 2000 for each of the 50 states and Washington, DC show that 68.0 %, 17.0 %, 11.2 %, and 3.8 % of the absolute percentage errors are <3.0 %, 3.0 % to 4.99 %, 5.0 % to 9.99 %, and ≥10.0 %, respectively. Another analysis compares average forecast errors between the extended cohort-component approach and the still widely used classic headship-rate method, by projecting number-of-bedrooms–specific housing demands from 1990 to 2000 and then comparing those projections with census counts in 2000 for each of the 50 states and Washington, DC. The results demonstrate that, compared with the extended cohort-component approach, the headship-rate method produces substantially more serious forecast errors because it cannot project households by size while the extended cohort-component approach projects detailed household sizes. We also present illustrative household and living arrangement projections for the five decades from 2000 to 2050, with medium-, small-, and large-family scenarios for each of the 50 states; Washington, DC; six counties of southern California; and the Minneapolis–St. Paul metropolitan area. Among many interesting numerical outcomes of household and living arrangement projections with medium, low, and high bounds, the aging of American households over the next few decades across all states/areas is particularly striking. Finally, the limitations of the present study and potential future lines of research are discussed.     

Shifts in household demographics herald economic changes for Thailand

In Thailand, dramatic changes in households and the health status of the population have led to important implications for the economic sector. These changes affect health, education, housing, employment and transportation. A new book on the economic impact of demographic change by Andrew Mason and Burnham O. Campbell is referred to as a full discussion of the issues. National planning and projections must include household characteristics as well as numerical projections. The analysis of Mason and Campbell is summarized in this article. Important changes are occurring in the size, rate of growth, and age structure of Thailand's population. Life expectancy has risen to 63 years for men and 68 years for women. Fertility has fallen to 2 children/woman. Population growth was 1.9% in 1990. In 1990, there were only 1 in 3 under the age of 15, and these numbers are expected to shrink to 1 in 4 by the year 2000. 60% of the population is of working age; this is expected to increase to 65% by the year 2000. The 60 years old population is expected to be 7.5% of the total in the year 2000. The average household has 1.6 children. 96% of households live with a relative. The expectation is that household size will continue to decrease and the number of households will continue to grow. The number of elderly heads of households is expected to rise to 11% by 2010. Households will become "adultified." The policy implications for education are that the school age population will gradually decreases but the number enrolled will increase. Primary school enrollment will stabilize and then decline after 1995. Secondary school enrollment will increase and level off in 2005. Total enrollment will increase from 10.5 million in 1990 to 11.4 million in 2000 and decline to 10.7 in 2015. These changes will allow for improvements in the quality of education and expand educational attainment. In health care, the demand for maternal and child health services will decline; changes will occur in the kinds of medical care needed.     

National and subnational projections of elderly living arrangements: An application of the net transition probability macrosimulation model

Recently, McDonaldet al. (2006) outlined a new method of projecting living arrangements, households and dwellings at the national and subnational level, using quinquennial census data. The purpose of this paper is to apply this new simulation method to project the composition of elderly living arrangements at the national and subnational level in Australia over the period 2001 to 2016. This study presents projections of living arrangements for Temporal Statistical Districts within New South Wales and for Australia as a whole. Results show a strong increase in the number of the elderly living alone, particularly elderly males. The rate of growth in lone-person households is particularly strong in coastal and regional New South Wales, underlining the importance of capturing subnational differences in probabilities of births, deaths, migration and household movements when producing regional projections of living arrangements. This paper concludes by considering implications of the findings and potential uses of the net transition probability method.     

Household dynamics and fuelwood consumption in developing countries: a cross-national analysis

Previous research has suggested a link between household dynamics (i.e., average household size and number of households) and environmental impacts at the national level. Building on this work, we empirically test the relationship between household dynamics and fuelwood consumption, which has been implicated in anthropogenic threats to biodiversity. We focus our analysis on developing countries (where fuelwood is an important energy source). Our results show that nations with smaller average households consume more fuelwood per capita. This finding indicates that the household economies of scale are, indeed, associated with the consumption of fuelwood. In addition, we found that number of households is a better predictor of total fuelwood consumption than average household size suggesting a greater relative contribution to consumption levels. Thus, insofar as declining average household sizes result in increased number of households and higher per capita consumption, this trend may be a signal of serious threats to biodiversity and resource conservation. We also found further support for the ??energy ladder?? hypothesis that economic development reduces demand for traditional fuels.     

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.     

Differences Between Household Income from Surveys and Registers and How These Affect the Poverty Headcount: Evidence from the Austrian SILC

We take advantage of the fact that for the Austrian SILC 2008–2011, two data sources are available in parallel for the same households: register-based and survey-based income data. Thus, we aim to explain which households tend to under- or over-report their household income by estimating multinomial logit and OLS models with covariates referring to the interview situation, employment status and socio-demographic household characteristics. Furthermore, we analyze source-specific differences in the distribution of household income and how these differences affect aggregate poverty indicators based on household income. The analysis reveals an increase in the cross-sectional poverty rates for 2008–2011 and the longitudinal poverty rate if register data rather than survey data are used. These changes in the poverty rate are mainly driven by differences in employment income rather than sampling weights and other income components. Regression results show a pattern of mean-reverting errors when comparing household income between the two data sources. Furthermore, differences between data sources for both under-reporting and over-reporting slightly decrease with the number of panel waves in which a household participated. Among the other variables analyzed that are related to the interview situation (mode, proxy, interview month), only the number of proxy interviews was (weakly) positively correlated with the difference between data sources, although this outcome was not robust over different model specifications.     

The justice of earnings in dual-earner households

Over recent decades, the rise in female labor market participation and the increase in “atypical” employment arrangements have brought about a steady decline in traditional “male breadwinner” households and an increasing number of dual-earner households. Against this backdrop, the present paper investigates how different household contexts—ranging from traditional “male breadwinner” households to those challenging this model through joint contributions to household income—affect household members’ subjective evaluations of the justice of their personal income. In the first step, we derive three criteria used by individuals to evaluate the justice of personal earnings: compensation for services rendered, coverage of basic needs, and the opportunity to earn social approval. In the second step, we apply considerations from household economics and new approaches from gender research to explain why men's and women's evaluations of justice are determined to a considerable degree by the specific situation within their household. The assumptions derived regarding gender-specific patterns in justice attitudes are then tested on longitudinal data from the German Socio-Economic Panel Study (SOEP). The results support our central thesis that dual-earner households both reinforce and undermine gender-specific patterns in the evaluation of personal earnings. These patterns are undermined because women in dual-income households tend to have higher income expectations that challenge the existing gender wage gap. At the same time, gender-specific patterns are reinforced because men evaluate the justice of their personal income in relation to their ability to fulfill traditional gender norms.     

The effects of female employment status on the presence and number of children

The main concern of this paper is to analyze the effects of female employment status on the presence and number of children in households in the Netherlands. For this purpose a hurdle count data model is formulated and estimated by the generalized method of moments. The hurdle takes explicitly into account the interrelationship between female employment status and timing of first birth. The number of children, once children are present in the household, is modeled conditional on female employment status. The empirical results show that female employment status is a major determinant of the presence and number of children in households: employed women schedule children later in life and have fewer children compared to nonemployed women, holding educational attainment constant. After controlling for female employment status, the educational attainment of both the woman and the man in the households are found to have relatively small effects on the presence and number of children. Received: 3 November 1998/Accepted: 22 September 1999     

Minimal Household Units: A New Approach to the Analysis of Household Formation

In this paper a new method for the analysis of household formation and the composition of households is described. The components, or building blocks, which combine to form households are identified and these have been called ‘minimal household units’. The focus of the analysis is on whether a minimal household unit sets up as a separate household or, if not, with whom it is shared. An economic theory of household formation is outlined, and a probit model is used to guide the estimation of the effects of economic and demographic characteristics of the minimal household unit on the probability of being a separate household, economic factors, such as the unit's income, and other social and demographic characteristics of the unit's members are shown to have a significant influence on the probability of its being a separate household.     

Parameters of Household Composition as Demographic Measures

Cross-sectional data, such as Census statistics, enable the re-enactment of household lifecourse through the construction of the household composition matrix, a tabulation of persons in households by their age and bythe age of their corresponding household-heads. Household lifecourse is represented in the household composition matrix somewhat analogously to survivorship in a life-table in demography. A measure of household lifecourse is the average household size, specific to age of household-head. Associated with the age-specific household size is the age-interval 0–4, which yields average number of children present in households, also by age of head. Trajectories of re-enacted household lifecourses for Phoenix and for the State ofArizona are depicted here to track the gamma probability density function. Through this relationship also the association between household size, children per household, and fertility emerges. To the extent that housing conditions or tenure impact average household size, or other aspects of household composition, fertility in particular is discerned as a housing- related demographic attribute of households. Household size and headship ratio, both specific to age of head, are here shown to be analytically related to the household composition matrix, their product yielding the age-specific headship coefficient. As a measure incorporating parameters of households and dwellers, thus also characterizingoccupied dwellingunits, the headshipcoefficient emerges as a demographic indicator of housing in a community.     

State and local fiscal impacts of US immigrants: Evidence from New Jersey

This paper uses a household-level estimation strategy to develop new evidence on the state and local fiscal impacts of US immigration. The methodology is applied to 1980 census microdata for New Jersey, a state that now ranks fifth in the nation in the size of its foreign-born population. All New Jersey households combined in 1980 imposed a net fiscal burden on state government of more than US$2.1 billion, and a net burden on the aggregate of all local governments totaling nearly $ 690 million. Both native- and immigrant-headed households received government benefits worth more than they paid in taxes. The typical immigrant-headed household imposed an average fiscal burden of $ 350 on local governments throughout New Jersey, versus roughly $ 225 for each native-headed household. At the state level, however, net fiscal impacts of immigrants and natives were similar: an average annual deficit of $ 841 for immigrants compared with $ 846 for native households. There are larger disparities among the foreign-born population than between native-headed and immigrant-headed households. Latin American households have the most unfavorable fiscal implications of any immigrant subgroup. Taken together, our findings illustrate the overriding importance of household income and number of school-age children as determinants of taxes paid, benefits received and, ultimately, of net fiscal impacts.     

Reforming electricity rates: Benefits to low-income households

The electricity rate reforms proposed in the Public Utility Regulatory Policies Act reflect the quest for an energy policy which encourages conservation, efficiency, and equity. Focusing on equity concerns, this research examines the relative effectiveness of lifeline and time-of-day rates in easing the burden of rising household energy prices among the low-income population. Lifeline rates establish a minimum number of kilowatt hours (kWh) required for basic necessities and a special low rate for these kWh. Time-of-day rates provide lower electricity prices to those households using electricity during off-peak generating hours. The data indicate that lifeline rates would assist low-income households in general, with the greatest benefits going to poor households with small numbers of members and older heads of household. Time-of-day rates would immediately benefit smaller households and those with older household heads. Some lifestyle changes, in the form of appliance use patterns, would be required among the low-income population if they are to benefit from time-of-day rates.This research was supported by a Department of Energy grant from the Oklahoma Corporation Commission (DE-FG-01-79 RG 10220) to the National Energy Law and Policy Institute at the University of Tulsa.     

Changing families and changing mobility: Their impact on the central city

Urban scholars and planners look to evidence of recent gains in the number of nontraditional households as a potential source of increase to the population sizes and tax bases of declining central cities. While it is now well established that substantial gains in the numbers of small, nontraditional households have occurred since the 1950s, it has not been demonstrated that: (a) these households are more likely to relocate in the city than traditional family households (husband-wife with children under 18); or (b) their cityward relocation patterns will significantly alter trends toward smaller city household populations. This paper addresses these questions by examining changes in city-suburb migration stream rates by household type over periods 1955–60, 1965–70 and 1970–75 for large metropolitan areas, and assesses their implications for potential changes in the aggregate sizes of city household populations.     

A multi-dimensional model for projecting family households--with an illustrative numerical application

"This paper develops a multi-dimensional model for projecting households and population. The model is constructed to ensure consistency between the demographic events occurring to males and females as well as to parents and children. The model permits projection of characteristics of households, their members, and population structure, using data that are usually available from conventional sources. Unlike the traditional headship-rate method, our model can closely link the projected households with demographic rates. The model includes both nuclear and three-generation households, so that it can be used for countries where nuclear households are dominant and for countries where nuclear and three-generation households are both important. The illustrative application to China, although brief, provides some policy-relevant information about future trends of Chinese household size, structure, and the age and sex distribution of the population, with a focus on the elderly."     

Wild foods and household food security responses to AIDS: evidence from South Africa

Wild foods may offer unique benefits to households afflicted by AIDS, providing a nutritious and freely available food source at minimal labour and financial costs. This article presents the results of food security assessments in two rural South African sites. Detailed household dietary recalls from 227 households, combined with qualitative work, explored the association of household AIDS proxies (recent morbidity, mortality and orphan fostering) with household food security and dietary composition. The study found that AIDS-proxy households were significantly more food insecure, and households fostering orphans were both poorer and more food insecure. Wild foods were evident in 40.3% of the 48 h recalls, with significantly greater likelihood of use in households with fostering paternal orphans, and/or with at least one AIDS proxy. Only paternal orphans were significantly associated with likelihood of using wild foods when controlling for household socio-economic status. Qualitative data suggests that households afflicted by AIDS might curtail their use of wild foods due to household labour shortages and stigma. This is unfortunate, as regressions indicate that households using wild foods may be more economically resilient. This may be particularly important for households registering AIDS proxies, due to a demonstrated negative correlation between accumulated household AIDS proxies and household income.