Society’s (Virtually) Time-Free Transition into the Digital Age

Three early studies of the impact of IT on American society suggested that it was having a negative impact on social life, as well as mass media use. This article reviews the results from two large multiyear US national surveys that have been monitoring social change in US daily life with high response rates: (1) the 1974–2012 General Social Survey (GSS; with more than 55,000 adult respondents aged 18+) and (2) the 2003–2011 American Time-Use Survey (ATUS; with more than 100,000 such respondents). The GSS has collected time-estimate data on particular social and media activities, while the ATUS surveys have collected complete 24-h diary accounts across a single day. Our analysis is conducted on two levels to determine whether various social/media activities have changed (1) at the aggregate societal level as new IT have diffused over the last 20 years and (2) among individuals who use these new media more. In both surveys, there seems little if any significant impact of these new media on social/media time, even though they had become the predominant source of information and social contact by 2004. GSS respondents in general have not reported lower levels of social or media contact since the 1990s, and while those GSS respondents who spent more time on the Internet did report fewer social visits with relatives, they reported more visits with friends, compared to those who do not use the Internet. The main difference between users and nonusers in the ATUS was with time at paid work, and that was only partially explained by higher Internet use by teens and on days off from work. For reading and certain other behaviors, Internet use was sometimes associated with increased use in these surveys. Moreover, no consistent decline in either social or media activities was found in either survey across this period of Internet diffusion, much in line with the earlier national studies. At the same time, it seems clear that not only the ATUS but diary studies in other countries are failing to capture the significant social impact of IT on the rest of life in the new digital age.     

The historical calendar as a method of estimating age: The experience of the Moroccan multi-purpose sample survey of 1961-63

Abstract In censuses and surveys in most African countries it has become the practice to estimate informants' age by the method of the historical calendar. This involves an attempt to relate a remembered historical event, occurring during the subject's childhood, with his age at the time. This paper attempts a first evaluation of the method with particular reference to the 1961-63 multi-round survey in rural Morocco. It is shown that in practice the method is highly complex and easily misunderstood by interviewers and respondents. An attempt to lay down a precise procedure by means of a very detailed questionnaire appeared to yield at best only marginally more accurate results than the simpler procedure used in an earlier round. The more complex questionnaire did, however, introduce new patterns of misuse by the interviewer. There was evidence that the historical calendar gave somewhat better data than eye estimates, but results were highly defective for both methods. It is clear that the method is far from perfect. Interviewer training and supervision remain the key to accurate age determination. If the potential benefits of the complex historical calendar method are to be realized, training and supervision need to be even more thorough than where simpler methods are used.     

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In censuses and surveys in most African countries it has become the practice to estimate informants' age by the method of the historical calendar. This involves an attempt to relate a remembered historical event, occurring during the subject's childhood, with his age at the time.

This paper attempts a first evaluation of the method with particular reference to the 1961–63 multi-round survey in rural Morocco. It is shown that in practice the method is highly complex and easily misunderstood by interviewers and respondents. An attempt to lay down a precise procedure by means of a very detailed questionnaire appeared to yield at best only marginally more accurate results than the simpler procedure used in an earlier round. The more complex questionnaire did, however, introduce new patterns of misuse by the interviewer. There was evidence that the historical calendar gave somewhat better data than eye estimates, but results were highly defective for both methods.

It is clear that the method is far from perfect. Interviewer training and supervision remain the key to accurate age determination. If the potential benefits of the complex historical calendar method are to be realized, training and supervision need to be even more thorough than where simpler methods are used.     

Trends and Socioeconomic Gradients in Adult Mortality around the Developing World

We combine data from 84 Demographic and Health Surveys from 46 countries to analyze trends and socioeconomic differences in adult mortality, calculating mortality based on the sibling mortality reports collected from female respondents aged 15–49. The analysis yields four main findings. First, adult mortality is different from child mortality: while under‐5 mortality shows a definite improving trend over time, adult mortality does not, especially in sub‐Saharan Africa. The second main finding is the increase in adult mortality in sub‐Saharan African countries. The increase is dramatic among those most affected by the HIV/AIDS pandemic. Mortality rates in the highest HIV‐prevalence countries of southern Africa exceed those in countries that experienced episodes of armed conflict. Third, even in sub‐Saharan countries where HIV prevalence is not as high, mortality rates appear to be at best stagnating, and even increasing in several cases. Finally, the main dimension along which mortality appears to differ in the aggregate is by sex. Adult mortality rates in sub‐Saharan Africa have risen substantially higher for men than for women—especially so in the high HIV‐prevalence countries. On the whole, the data do not show large gaps by urban/rural residence or by school attainment.     

Calibrating Time-Use Estimates for the British Household Panel Survey

This paper proposes an innovative statistical matching method to combine the advantages of large national surveys and time diary data. We use data from two UK datasets that share stylised time-use information, crucial for the matching process. In particular, time-diary information of an individual from the Home On-line Study, our donor data set, is imputed to a similar individual from the British Household Panel Survey, our recipient dataset. Propensity score methods are used in conjunction with Mahalanobis matching to increase matching quality.     

Estimating Mortality Differences in Developed Countries From Survey Information on Maternal and Paternal Orphanhood

In general, the use of indirect methods is limited to developing countries. Developed countries are usually assumed to have no need to apply such methods because detailed demographic data exist. However, the potentialities of demographic analysis with direct methods are limited to the characteristics of available macro data on births, deaths, and migration. For instance, in many Western countries, official population statistics do not permit the estimation of mortality by socioeconomic status (SES) or migration background, or for estimating the relationship between parity and mortality. In order to overcome these shortcomings, I modify and extend the so-called orphanhood method for indirect estimation of adult mortality from survey information on maternal and paternal survival to allow its application to populations of developed countries. The method is demonstrated and tested with data from two independent Italian cross-sectional surveys by estimating overall and SES-specific life expectancy. The empirical applications reveal that the proposed method can be used successfully for estimating levels and trends of mortality differences in developed countries and thus offers new prospects for the analysis of mortality.     

Family planning in choiseul province,Solomon Islands

The results presented are from a rural prevalence survey on family planning in Choiseul Province, Solomon Islands. Married women aged 15–49 years with at least one living child and married men whose wife met the same criteria, provided data on knowledge, attitudes and practices of contraceptive use. Fifty one per cent of the female sample were using some form of contraception, 26 per cent reversible and 25 per cent non-reversible methods. Sixty-five per cent of men claimed that they or their spouse were using a method of family planning. Tubal ligation was the most common currently used method (25 per cent in the female survey). Desired family size was four for both males and females. Knowledge and approval of family planning was high, with 83 per cent of females and 81 per cent of males knowing of at least one method. Problems in accessing information and services for family planning include cultural and logistical constraints. Religious affiliation was the major variable affecting knowledge, use and approval of contraceptive methods. Nearly a quarter of the sample lived further than two hours travel time from the nearest health clinic supplying contraceptive methods. These clinics often have only an intermittent availability of supplies. A strong interest in family planning was demonstrated by both respondents and service providers.     

How Accurate are German Work-time Data? A Comparison of Time-diary Reports and Stylized Estimates

This study compares work time data collected by the German Time Use Survey (GTUS) using the diary method with stylized work time estimates from the GTUS, the German Socio-Economic Panel, and the German Microcensus. Although on average the differences between the time-diary data and the interview data is not large, our results show that significant deviations exist between these two techniques for certain types of individuals, especially those with long working hours and flexible work schedules. We also show that stylized work time estimates have insufficient variation to reproduce a true picture of working hours.     

Extracting More Knowledge from Time Diaries?

Time-use diary data convey information about the activities an individual was engaged in, when and for how long, and the order of these activities throughout the day. The data are usually analyzed by summarizing the time used per activity category. The aggregates are then used to determine the mean time use of a mean individual on an average day. However, this approach discards information about the duration of activities, the order in which they are undertaken, and the time of day each activity is carried out. This paper outlines an alternative approach grounded in the time-geographic theoretical framework, which takes the duration, order, and timing of activities into consideration and thus yields new knowledge. The two approaches to analyzing diary data are compared using a simple empirical example of gender differences in time use for paid work. The focus is on the effects of methodological differences rather than on the empirical outcomes. The argument is made that using an approach that takes the sequence of activities into account deepens our understanding of how people organize their daily activities in the context of a whole day at an aggregate level.     

Reliability,Validity, and Variability of the Subjective Well-Being Questions in the 2010 American Time Use Survey

Part of a wider range of investigations to produce generally acceptable standards for measuring affective well-being, time diary surveys have tested several approaches to measuring subjective well-being during diary days. As an alternative to the standard approach of asking a single question about each activity reported in time diary surveys, the 2010 module of the American Time Use Survey asked six emotion questions about three activities. The perception questions captured how happy, meaningful, sad, tired, stressed, or in pain respondents felt on a 7-point scale. To evaluate this approach, our research examined the reliability and validity of the six emotion questions, and assessed their variability across activities. Using principal component analysis, we assessed the associations among items and obtained two activity-level components with Cronbach’s alphas of 0.68 and 0.59 and two respondent-level components with Cronbach’s alphas of 0.74 and 0.65. To test validity, we regressed self-rated health on the underlying components and socio-demographic controls. Both of the respondent level components were significantly associated with better health (odds ratio 1.81, 1.27). Using each of the perceptions individually, we found that happiness, meaningfulness, and lack of fatigue, stress, and pain were related to better health, but none as strongly as the first component. Finally, we examined the coefficients of variation to assess the variability in the well-being measures across activities. Measurement implications and limitations of this study are discussed.     

Large Differences in Time Use for Three Data Collection Systems

Two versions of an electronic time use diary are compared with the conventional paper-and-pencil one (or PAPI). One version was a self-administered diary (Computer-Assisted Self-Interview or CASI), while the second was based on an interviewer-administered procedure (Computer-Assisted Telephone Interview or CATI). Comparison of the data collection systems used for time use statistics revealed large differences between the procedures for most of the activities. Many of these differences were significant at the 0.05 level. Since no general effect of the registration method was found, several activities have been studied in detail to account for the differences in time use. We pay attention here only to the results for two specific activities; time spent on travel and watching television/listening to the radio. For both activities, specific registration characteristics were responsible for the differences found.     

Choosing a contraceptive method: why does it matter?

The use of contraceptives varies widely among Asian countries. Based on the most recent survey data available, the rate varies from nearly 8/10 married women aged 15-44 in Taiwan to fewer than 1/10 in Pakistan and Nepal. Women in East Asian countries are most likely to practice contraception, followed by those in Southeast Asia, with lower contraceptive prevalence rates found in South Asia. The rates of some East Asian nations now match those of the US and other developed nations, while in most South Asian nations contraception is spreading slowly. Contraceptive methods in use vary widely by country. The leading method in the greatest number of countries is sterilization, but in most countries several methods are nearly equal in popularity. Only in India is sterilization used by a majority of those people who practice contraception. Japan is the only country in which a majority of contraceptors use condoms, and only in China do 1/2 use IUDs. The choice of a particular contraceptive method is strongly influenced by 1) methods available through family planning programs, or promoted through the use of target systems; 2) religous and cultural factors; 3) concerns about side effects and safety; 4) ease of access to particular methods; 5) the medical profession; and 6) legality--in Japan the pill is illegal. In most countries the type of contraceptive that people prefer has changed since the introduction and promotion of modern methods of contraception. In general, there has been a shift to more effective methods. An increase in female sterilization at the expense of other methods such as the IUD or pill is the most common pattern. In countries where female sterilization is unpopular, use of such modern methods as the pill, IUD, or condom has increased at the expense of traditional methods.     

Determinants of contraceptive switching behavior in rural Sri Lanka

This study examines the influence of a selected set of determinants of contraceptive method switching in rural Sri Lanka. Of interest is the question of how change in contraceptive practice at the individual level can account for patterns observed at the aggregate level. Based on calendar data on contraceptive use over a 3-year period, collected for more than 3,000 married women in a 1986 survey, the multivariate analysis shows that women who attain all or a significant proportion of their desired fertility tend to switch to more effective methods. Women who experience method failure tend to switch methods, usually to a type that is more effective. The woman's background determinants of age and education have small but significant effects on method switching, whereas the effect of household economic well-being is not significant. There is strong indication that rural couples are practicing contraception in a nonrandom fashion, switching methods in accordance with changes in their fertility motivations and contraceptive experience.     

Cross-cultural variations in predictors of life satisfaction: An historical view of differences among West European countries

Using survey data collected in 1976 from respondents in ten West European countries, we compared four sets of predictors of life satisfaction: job satisfaction, nonwork satisfaction, working conditions and living conditions. Results indicated that, although levels of satisfaction varied somewhat by country, significant predictors of life satisfaction were quite similar among the countries. These results present a picture of relationships among these variables in an historical context.     

The contribution of HIV to fertility decline in rural Zimbabwe, 1985-2000

HIV-related sub-fertility has been reported for those populations in sub-Saharan Africa in which contraceptive use is low. We use data from a retrospective survey in rural Zimbabwe and multivariate logistic regression models to show that recent birth rates and current pregnancy rates are also lower among HIV-positive women than among HIV-negative women in those African populations where contraceptive use is high. The fertility reduction is smaller than where contraceptive use is low because age at first sexual intercourse is later and birth rates at older ages are already low. Nevertheless, total fertility is approximately 8.5 per cent lower and HIV-associated sub-fertility may account for as much as one-quarter of fertility decline in Zimbabwe since the late 1980s. Mechanisms for HIV-associated sub-fertility in rural Zimbabwe include more frequent widowhood and divorce, reduced coital frequency, increased amenorrhoea, and possibly, pelvic inflammatory disease. Miscarriage appears to be a less important factor than elsewhere possibly because syphilis is rare.     

The Level and Age Pattern of Mortality in Bandafassi (Eastern Senegal): Results From a Small-Scale and Intensive Multi-Round Survey

The data collected in the Bandafassi demographic study in Eastern Senegal, a small-scale intensive and experimental follow-up survey of a population of about 7,000 in 1983, were analysed to derive an estimated life table. The use of multi-round surveys, combined with anthropological methods to estimate ages and collect genealogies, has resulted in unusually reliable data. Taking into account the uncertainty of the estimates due to the small size of the population, mortality was high, with life-expectancy at birth close to 31 years; a pattern of infant and child mortality close to that observed in other rural areas of Senegal, with a very high level or mortality between ages six months and three years; a seasonal pattern in child mortality with two high-risk periods, the rainy season and the end of the dry season; an adult mortality pattern similar to that described in model life tables for developed countries; no significant difference by sex or ethnic group. The Bandafassi population study and a few similar studies suggest that one possible way to improve demographic estimates in countries where vital registration systems are defective would be to set up a sample of population laboratories where intensive methods of data collection would continue for extended periods.     

Validation of a Brief Yesterday Measure of Hedonic Well-Being and Daily Activities: Comparison with the Day Reconstruction Method

There has been increasing interest in the measurement of hedonic well-being (HWB), due in part to its broad implications in areas such as health and society. The day reconstruction method (DRM) is a validated technique assessing HWB and daily activities using instructions that help respondents recover their experiences from the previous day, thus reducing recall bias. Unfortunately, large-scale surveys are typically not able to implement the time-consuming DRM procedure; instead, they rely on single-item or very brief questionnaire assessment of HWB and time usage. Despite their wide use, brief questionnaires have rarely been compared to the DRM, which could provide validation of these short assessments. In the present study we compared these two questionnaire formats in 45 adults who completed both a DRM and a “hybrid” short form (HSF) questionnaire that included a very brief procedure to reconstruct yesterday’s events. Results were that the mean HSF ratings tended to overestimate HWB in comparison to the DRM, though effects were generally small to moderate. With regard to estimates of time spent on daily activities, the HSF also differed from the DRM, though with generally small to moderate effects. Correlations between estimates indicated that the HSF explained an average of almost half the variance in the DRM ratings for both HWB (rs ranging from .52 to .97) and time use (rs ranging from .43 to .85). In general, HSF ratings displayed considerable overlap with those of the DRM though the brief instructions apparently did not eliminate recall bias in the shorter questionnaire.     

国外养老保险城乡一体化发展的经验及启示

西方发达国家的养老保险经历了长期的制度实践和政策调适．基本形成了较为完善的城乡一体化制度模式和运行机制,尤其是多数工业化国家也同样经历了“先城市、后农村”的养老保险发展历程．这对我国当前城乡社会养老保险制度从二元分割走向统筹整合有着重要的经验启示,政府主导自上而下、城市农村双向推动、制度统分双层结合、时间序列上的分步渐进和空间层次上的梯度递进是社会养老保险城乡统筹应遵循的推进策略。     

A practical approach to using Multiple-Race response data: A bridging method for publicuse microdata

Revised federal policies require that multiple-race responses be allowed in all federal data collection efforts, but many researchers find the multitude of race categories and variables very difficult to use. Important comparability issues also interfere with using multiple-race data in analyses of multiple data sets and/or several points in time. These difficulties have, in effect, discouraged the use of the new data on race. We present a practical method for incorporating multiple-race respondents into analyses that use public-use microdata. Our method is a modification of the regression method developed by the National Center for Health Statistics (NCHS), which uses multiple-race respondents' specific combination of races, as well as other individual-level and contextual characteristics, to predict the respondents 'preferred single race. In this paper we (1) apply the NCHS-generated regression coefficients to public-use microdata with limited geographic information; and (2) provide a downloadable computer program with which researchers can apply this practical and preferable method for including multiple-race respondents in a wide variety of analyses.