Based on data from the 1990 Indonesian Census and the 1991 Demographic and Health Survey, analyses of fertility, fertility decline, and the use of contraceptive methods in Indonesia are presented. Two levels of analysis are carried out in this thesis: a macro-approach and a micro-approach. The analysis using the macro approach reveals that the family planning program, the status of women's jobs, and infant mortality rates are important determinants of fertility in Indonesia. In addition, the micro analysis shows that there are differences in the average number of children ever-born to couples according to the type of present and childhood residence, educational attainment, religion and occupational status. / Controlling for regional population density reversed the direction of the impact of agriculture sector employment on fertility. Overall in Indonesia, individual couples who worked in agriculture sector had higher fertility than those who worked in the non agriculture sector. However, in the densely populated areas of the country such as Java and Bali, those who worked in the agriculture sector had lower fertility than those who worked in the non agriculture sector. / The results of this dissertation support the claim that fertility and fertility decline are very complex phenomena. There is no definitive set of variables that strongly and consistently affect them. The most important finding from these analyses is that the fertility rate is influenced both by individual couple's characteristics as well as the place where they live. Further research on fertility and fertility decline should emphasize both of these characteristics.

No description available.

This study was an attempt to explore the relationship between migration and adjustment. The specific problem was to seek the answer to the question of how ethnic group identity facilitates or hinders the adjustment of the student migrants and the families in the area of destination.Ethnic identity was considered as an independent variable, adjustment as a dependent variable, and five factors made up one intervening variable. Adjustment (dependent variable) consisted of six indicators: Neighborhood Involvement, Extent of Happiness, Nostalgia for Home, Extent of Worry, Anxiety, and Anomie. The intervening variable consisted of five indicators: Achievement, Aspiration, Peer Group Involvement, Relation to Relatives, and Fatalism.Two hundred and eighty students from five different universities, institutes, and academies in Bandung participated. The instrument used was a questionnaire. Data was collected in February, 1973. Statistical procedures utilized were: Chi-Square, analyses of variance, t-test and the Pearson product moment correlation.The main hypothesis tested was: Ethnic group identity will significantly influence the adjustment of the migrants (students) and the families in the area of destination. Eleven sub-hypotheses were also tested. The related hypothesis tested was: There will be a correlation between the intervening variables and the Independent variables. The data was organized and analyzed utilizing the SPSS system of programming and implemented by an IBM 360-50 computer.

This study is an attempt to measure religious fertility differentials of the Abangan and the Santri, two different Muslim groups on Java. The Santri are those who strongly endeavor to carry out the religious prescriptions and observances; the Abangan, on the other hand, are individuals whose religious orientation is not as strong. The main purpose of the study is to determine if religion explains the high fertility level on Java. The results are expected to be important for the population policy makers enabling them to determine the factors influencing fertility level in the area studied.Studies of the literature lead to the formation of the theory employed for the study, which is a hybrid: drawing elements from four theoretical explanations of religious differences in fertility. It maintains that religious doctrine affiliation interacts with socioeconomic factors in explaining fertility. Three stages of socioeconomic level are assumed: (1) traditional; (2) transitional; and (3) modern. The study hypothesizes that religious fertility differentials of the two groups are slight when they are in the traditional stage. Further, the Santri are predicted to maintain higher fertility level than the Abangan.The data accessed for the study are from a 1974-1975 study on transmigration on Java. The sampling procedure was a stratified probability random sampling, with 3000 individuals of rural and urban areas on Java. One major weakness encountered in the data is the lack of detailed information on fertility determinants such as contraceptive use, marriage duration, and age of wife at first marriage.Among other things, one factor that justifies the use of the data is the extensive information religious practices of the people.Multiple regression analyses are conducted to test the hypotheses of the study. The data is analyzed by computer using the SPSS (Statistical Package for Social Sciences) program. The significant test employed to measure the impact of the independent variables on the dependent variables is the F test.Taking into consideration that the majority of the respondents are from a low socioeconomic level and rural residents, the stage being observed in this study is the traditional one. Two measures are employed to determine fertility, namely, number of children ever born and ideal family size preferred by married couple when they started the household.Factors employed to explain the fertility levels are religious group affiliation, education, wife's age, and income. The study found little significant difference on the cultural and in the fertility level of the two groups. However, with additional analysis it was found further that the interaction of religious doctrine affiliation and wife's education correlates significantly with the ideal family size preferred, but not with the number of children ever born.The insignificant difference of the fertility levels of the two groups is rather surprising. One possible explanation for the case is the discrepancy between the theoretical definition of the two religious groups and the empirical phenomena. As a matter of fact, the Muslim groups on Java are not as clearly distinguishable as suggested in this study. The discrepancy results in the inaccuracy of the data analysis, for those who in the study are considered as belong to the Abangan category are actually residual cases of the Santri category. Hence, analyses are not accurate. Had the two groups been measured based on the theoretical concepts, the results of the study could possibly be as expected.Although the study is limited in its intensity, the results are valuable for future studies. It is recommended that other factors such as cultural values, information pertaining to birth control , and family planning be considered for future studies. Specific measurement of religious groups studied would yield a better explanation on religious fertility differential.