The effects of the age and structure of population on family change]

The age structure of a population is one basic factor of population research. It is not only affected by birth, death, immigration, and marriage, but it also reflected in changes of family size. The article analyzed it from two aspects: (1) the age structure of population acts on the size and structure of the family. The younger the age structure, the larger the family size. Otherwise, it is the opposite. According to the 1982 census, 35.4% of the population was 0-14 years in rural areas, and average family size was 4.6; but in urban areas 26.0% of the population was 0-14 years and family size was 3.9. The family was characterized as a nuclear family as industrialization in economic development increased and the population aged. In the 1982 census, 64.7% were nuclear family and 6% were aging population in China. Three- generation families (or more) have decreased dramatically. The change of family size and structure is affected by change of internal family age structure. The younger population (0-14 years) is dependent and 90% live with their parents. The adult population (15-59) years are more affected by marriage, birth and social economic action. Families are established in this age period and give much more effect to fertility. The aging population (over 60) years is facing changes. They appear to be a "Defect" family because the wife or husband has passed away. They change from independent to dependent. 78.3% population over 60 years were dependent on children or social welfare, only 21.7% were independent according to the survey in Beijing Changping County.     

Modern family planning,sexual behavior and marriage status among women in Tanzania

"This article looks into sexual behavior and marriage status among women attending Mother and Child Health Care clinics in Tanzania. It looks into the effects of such behavior on the marriage and suggests some policy implications, especially in relation to modern family planning methods. The data which form the basis of this article were collected [in 1987] among 244 women in two urban centers in Tanzania."     

Black and white population change in small American suburbs since World War II: regional differences

"This study examines the relationship between black population concentration (% black), black population change and white population change for small American suburbs for the 1950-1980 period. Linear, tipping point (curvilinear) and interaction models of racial transition are evaluated for each decade by region (South and non-South), controlling for several other suburban characteristics (age, annexation and distance to the Central Business District) which may affect both black and white population change. The analyses show that racial transition in suburbs involves the parallel development of white and black populations with mainly weak and complex causal linkages which are sensitive to broader suburbanization patterns."     

Compulsive gambling and the medical model

The medical model as a conceptual and operative approach to compulsive gambling is discussed. The terms medical model and disease are defined and the practical implications of their application to compulsive gambling are explored. Special attention is given to the addictive disease concept. Finally, a variety of objections to the medical model are described, but it is concluded that the many individual and social advantages of the medical model make it the preferred conceptualization at our present state of knowledge.     

Dealing with uncertainty: statistics for an aging population

"Uncertainty in statistics and demographic projections for aging and other policy purposes comes from four sources: differences in definitions, sampling error, nonsampling error, and scientific uncertainty. Some of these uncertainties can be reduced by proper planning and coordination, but most often decisions have to be made in the face of some remaining uncertainty. Although decision makers have a tendency to ignore uncertainty, doing so does not lead to good policy-making. Techniques for estimating and reporting on uncertainty include sampling theory, assessment of experts' subjective distributions, sensitivity analysis, and multiple independent estimates." The primary geographical focus is on the United States.     

Birth control in the early stage of marriage

Results are presented from a 1985 survey containing questions on family planning conducted among 13,392 newly married couples in Poland during the period from two to six months following marriage. The opinions of husbands and wives concerning various methods of contraception are analyzed.     

Mixed model for analyzing geographic variability in mortality rates

"A mixed model is proposed for the analysis of geographic variability in mortality rates. In addition to demographic parameters and random geographic parameters, the model includes additional random-effects parameters to adjust for extra-Poisson variability. The model uses a gamma-Poisson distribution with a random scale parameter having an inverse gamma prior. An empirical Bayes approach is used to estimate relative risks for geographic regions and annual rates for demographic groups within each region. Lung cancer in Missouri is used to motivate and illustrate the procedure."     

On estimating census undercount in small areas

"Net undercount rates in the U.S. decennial census have been steadily declining over the last several censuses. Differential undercounts among race groups and geographic areas, however, appear to persist. In the following, we examine and compare several methodologies for providing small area estimates of census coverage by constructing artificial populations. Measures of performance are also introduced to assess the various small area estimates. Synthetic estimation in combination with regression modelling provide the best results over the methods considered. Sampling error effects are also simulated. The results form the basis for determining coverage evaluation survey small area estimates of the 1900 decennial census."     

On a conjecture of Kakosyan,Klebanov and Melamed

Suppose X₁, X₂, ..., X_m is a random sample of size m from a population with probability density function f(x), x>0 and let X_1,m<...m,m be the corresponding order statistics. We assume m as an integer valued random variable with P(m=k)=p(1?p)^k?1, k=1, 2, ... and 0 and n X_1,n for fixed n characterizes the exponential distribution. In this paper we prove that under the assumption of monotone hazard rate the identical distribution of and (n?r+1) (X_r,n?X_r?1,n) for some fixed r and n with 1≤r≤n, n≥2, X_0,n=0, characterizes the exponential distribution. Under the assumption of monotone hazard rate the conjecture of Kakosyan, Klebanov and Melamed follows from the above result with r=1.