Socio-demographic interests of the population during the transition to a market economy

These are the results of a 1971 survey on reproductive behavior in the former Soviet Union. The survey covered 3,152 women aged 16 or over living in rural or urban areas. Questions were included on ideal, desired, and expected number of children. The results indicate that low fertility expectations characterize the majority of the population and that current political and economic problems are likely to push expected fertility even lower. Significant differences between rural and urban populations and among regions are identified.     

The accuracy of the migration sample in the national population census of 1978

The author assesses the accuracy of migration data collected by sample in the 1978 census of Poland. He discusses the possibility of studying fertility trends using 1988 census data for a one-percent sample of married women aged 15-70.     

Births in remarriages (using data from sample surveys)

Data from sample surveys conducted between 1978 and 1981 are used to examine the fertility of women in second and subsequent marriages in the USSR. The results indicate that women up to age 25 who have been married more than once have higher fertility than women in a first marriage. However, total fertility is higher for women in uninterrupted marriages. The analysis is presented separately for various cohorts and for socioeconomic characteristics such as educational status and rural or urban residence.     

Seasonal patterns of fertility measures: theory and data

The distribution of births by month exhibits a seasonal pattern in most populations. The monthly marital fertility rate for an area of Bangladesh provides a good example of the seasonal periodicity. Seasonal patterns of measures of reproduction in a population of married women are considered. Equations are developed that predict the seasonal patterns of these alternative measures under the assumption that the fertility rate (R) follows a trigonometric curve. This is followed by an empirical analysis of the measures in a Bangladesh population that has a pronounced seasonal fertility. The investigation is intended both to validate the theoretical framework developed in the 1st part of the paper as well as to determine whether seasonal variation in actual populations is sufficiently large to affect the alternative measures significantly. 4 measures are considered: pregnancy prevalence (PP)--the proportion of married women who are pregnant at the survey date; mean open birth interval (MOI)--the time from the last live birth to the date of the survey for parous women and from the time of marriage to the date of the survey for nulliparous women; mean closed interval-birth (MCIB)--the mean interval between the last 2 live births for married women who have a birth in the period immediately preceding the survey date; and mean closed interval-woman (MCIW)--the mean interval between the last 2 live births for women who have had at least 2 children by the time of the survey. It is assumed that the seasonal pattern of the fertility rate of a population follows a cosine curve and that there is no trend in annual fertility from year to year. The lag and relative variability of the other measures are considered in comparison with the fertility rate curve. The predictions from this theoretical effort, when compared with observed patterns and trigonometric regression results for each measure in data from Bangladesh, are shown to be quite accurate. The figure and regression results show that R, PP, and MOI have definite seasonal periodicity, but MCIB and MCIW do not display any seasonal patterns. If there is a secular trend in fertility in addition to seasonality, these relationships between the seasonal patterns of the measures may no longer hold. There is a disadvantage to using closed interval measures, for they are unable to detect effects of limiting of childbearing in a population since they are based only on information from women who have births.     

Differentiation of female fertility by educational attainment

The author examines fertility differentials by educational attainment for Polish women using official vital statistics on births as modified in 1974. Comparisons are made with fertility recorded in previous studies based on census or sample survey data     

Intergenerational fertility changes

Intergenerational changes in fertility in Poland are analyzed using data from a 1977 sample survey of 38,600 women. The author notes that total fertility declined from 4.4 to 2.5 within the space of two generations. An analysis of fertility is presented by various characteristics of females, including age group, education, duration of marriage, and economic status.     

Developing statistics in China

Developments in China's statistical system since 1978 are reviewed. Consideration is given to the census of 1982 and to current surveys, including the Annual Survey of Births and Population; the fertility survey of 1 in 1,000 of 1982 and 2 in 1,000 of 1988; and the Chinese system of administrative reports, records, and registers.     

Fertility in Poland during the 1980s: analysis of a maternity questionnaire

Recent fertility trends in Poland are analyzed using data from a mail survey conducted in 1984. The demographic, social, and economic characteristics of women who gave birth in 1984, their husbands, and their parents are examined. The results show an increase in fertility in the early 1980s, particularly in urban areas.     

Population growth among different nationalities in the USSR

The authors examine ethnic differences in population trends in the USSR using data from official sources, including the censuses from 1959 to 1989. They look at differentials in fertility, general mortality, and infant mortality and their causes. They also note that, out of the 18 major nationalities, 5 have reproduction rates below replacement level: Russians, Ukrainians, Georgians, Lithuanians, and Jews. Data are included on population size, growth rates, and fertility rates by ethnic group.     

Regional conditions for differentiation of population reproduction in Poland

This study deals with differentials in gross fertility rates and rates of natural population growth by region in Poland. Two models are formulated with the above indicators as dependent variables and the following set of independent variables: population density, percent of nonagricultural population, housing conditions (number of persons per room), percent of population aged 20-29, percent of population aged 65 and over, percent of male population, percent of urban population, percent of population with high school and college education, percent of working women, and percent of married couples. The most significant variables were age 20-29, urban population, working women, sex ratio, and marital status.     

Ethnic differentials in fertility in the USSR

Ethnic differentials in fertility in the USSR are analyzed using data from official sources. Age-specific and total fertility rates for women of various nationalities are presented by Union republic for selected years from 1945 to 1984.     

The Italian Labour Force Survey to estimate fertility

The own-children method (OCM) applied to the Italian Labour Force Survey (ILFS) is an alternative way to give information on fertility for the years before the survey. By deriving children information and the population at risk on the basis of parents’ characteristics, a large-scale dataset for fertility analysis in Italy becomes available, also to reconstruct event histories. The quality assessment provided by comparing the total fertility rate (TFR) calculated on ILFS with the official regional and national TFRs by ISTAT gives us usable outcomes.     

Motivation with regard to attitudes toward procreation among married women

The results of a sample survey on attitudes toward reproduction in Poland are presented in this two-part article. The survey, which was conducted by the Central Statistical Office in 1977, covered 9,799 women up to age 45. The women surveyed are divided into three main groups, consisting of those with positive, conditional, and negative attitudes toward having more children. The attitudes and characteristics of the women are analyzed.     

Appraisal of the factors influencing changes in the total number and composition of births by mother's age

The causes of the temporary and unexpected increase in fertility in Poland that occurred at the beginning of the 1980s are reviewed. Among the possible causes considered are a change in the number of women of reproductive age, changes in the size of the female population in selected areas due to migration, and actual changes in age-specific fertility.     

Statistical materials. Results of the 1985 socio-demographic sample survey of the population

Results from the five percent socio-demographic sample survey of the USSR conducted in 1985 are presented. Data are provided on the educational status of the population and the labor force by nationality, republic, sex, and rural or urban area; income; marital status; marriage duration; divorce and separation; intervals between marriages; family size; family characteristics; families with children under 18; internal migration; and distribution of women by number of children ever born, republic, nationality, educational status, and expected family size     

Multivariate time series projections of parameterized age-specific fertility rates

1 solution to the dimensionality problem raised by projection of individual age-specific fertility rates is the use of parametric curves to approximate the annual age-specific rates and a multivariate time series model to forecast the curve parameters. Such a method reduces the number of time series to be modeled for women 14-45 years of age from 32 to 40 (the number of curve parameters). In addition, the curves force even longterm fertility projections to exhibit the same smooth distribution across age as historical data. The data base used to illustrate this approach was age-specific fertility rates for US white women in 1921-84. An important advantage of this model is that it permits investigation of the interactions among the total fertility rate, the mean age of childbearing, and the standard deviation of age at childbearing. In the analysis of this particular data base, the contemporaneous relationship between the mean and standard deviation of age at childbearing was the only significant relationship. The addition of bias forecasts to the forecast gamma curve improves forecast accuracy, especially 1-2 years ahead. The most recent US Census Bureau projections have combined a time series model with longterm projections based on demographic judgment. These official projections yielded a slightly higher ultimate mean age and slightly lower standard deviation than those resulting from the model described in this paper.     

Models of procreative behavior based on the concept of the life cycle

This is the first in a planned series of papers applying path analysis methods to the study of reproductive behavior in rural areas in Poland. Factors considered include total number of births, birth intervals, birth control and abortion, and future fertility intentions. The objective is to examine how the fertility of rural women is affected by various social and economic factors. (SUMMARY IN ENG)     

我国地区R&D资本存量测算：1978-2015年

2008年国民账户体系（System of National Accounts, SNA）拓展了固定资产的边界,研发（Research and Development, R&D）被视为一类新的固定资产,列入了知识产权产品。目前,官方统计并未给出中国各地区的R&D资本存量数据,现有文献也鲜有讨论2008年SNA框架下的相关测算。因此,本文依据2008年SNA和现有的统计资料,在合理估计1978年以来各地区的当期R&D投资的基础上,采用永续盘存法科学测算了1978-2015年各地区的R&D资本存量数据。结果显示：1978年以来,中国各地区R&D资本存量总体上呈快速上升趋势;各地区R&D资本存量年均增速与各地区GDP年均增速,具有正相关关系;中国的R&D资本存量主要由东部地区贡献,东部地区是中国研发创新的主要区域。     

Survival models for fertility evaluation

"Two proportional hazards models for cohort fertility evaluation are constructed. Time-dependent covariates describe sources of heterogeneity between and within women regarding fertility characteristics. In the first model, U.S. birth rates specific to maternal age, race, parity, and birth cohort are used as underlying hazard rates. Covariate effects are estimated by maximizing the full likelihood. In the second model, covariate effects are estimated via Cox regression with stratified underlying hazard rates regarded as unknown nuisance parameters." The authors illustrate the models "with an evaluation of the fertility histories of the wives of workers at a manufacturing plant with potential for hazardous exposure. Adjustments to the U.S. birth rates for maternal age and parity zero experience are required with the first approach. Then, despite differences in the model-specific estimation procedures, the point estimates of the exposure effect and the estimated standard errors from the two models are practically equivalent."