Son targeting fertility behavior: Some consequences and determinants

This article draws out some implications of son targeting fertility behavior and studies its determinants. We demonstrate that such behavior has two notable implications at the aggregate level: (a) girls have a larger number of siblings (sibling effect), and (b) girls are born at relatively earlier parities within families (birth-order effect). Empirically testing for these effects, we find that both are present in many countries in South Asia, Southeast Asia, and North Africa but are absent in the countries of sub-Saharan Africa. Using maximum likelihood estimation, we study the effect of covariates on son targeting fertility behavior in India, a country that displays significant sibling and birth-order effects. We find that income and geographic location of families significantly affect son targeting behavior.     

Socioeconomic determinants of fertility in China

This paper reports the first set of estimates of the socioeconomic determinants of fertility in China using micro-data available from China's 1985 In-Depth Fertility Survey. Based on existing microeconomic theories of fertility, an econometric model was specified and estimated. The results indicate that even after age, marriage duration and child mortality are taken into account, education level of the woman, occupational status of the husband, the place of former and current residence, sex preference for boys, durable goods ownership, and family structure affect fertility. For the middle cohorts (aged 25–34 years in 1985), the relationship between fertility and education takes the form of a J-shaped curve.This paper is drawn from Essay II of my Ph. D. thesis submitted to McMaster University. I am grateful to Frank Denton and Byron Spencer for discussion in connection with the thesis and comments on earlier versions of this paper, to Ronald Lee, the external examiner of the thesis, for many insightful comments, and to Martin Dooley, Lonnie Magee and two anonymous referees for very helpful suggestions. I would also like to thank International Statistical Institute Research Center for supplying the data used in this study.     

Socioeconomic determinants of China's urban fertility

This paper examines socioeconomic forces other than population policies and family planning programs that have affected the fertility transition in urban China. The authors argue that before and since the intensification of population planning activities, the government influenced fertility directly and indirectly through socialization of the economy, the transformation of the Chinese family, and the provision of education, employment, health, medical, welfare, cultural, and related services in urban areas. The various social institutions and subsystems of society have greatly weakened the motivation for large families. The byproducts of the slow urbanization process in urban China including housing shortages, unemployment, rising living standards, changes in the cost of raising a child, and urban-rural downward mobility have affected the social and economic costs of childbearing, which in turn have affected the postponement of childbearing. Thus, our considerations of urban China's fertility transition must be broadened to include the issues of social development strategy in Chinese urban experience.     

Intergenerational patterns of teenage fertility

One of the frequently cited consequences of teen childbearing is the repetition of early births across generations, which thereby perpetuates a cycle of poverty and disadvantage. We use data from the 1988 National Survey of Family Growth (NSFG), Cycle IV, to examine trends and determinants of the intergenerational teen fertility link for women who reached adolescence between the 1950s and the 1980s. We find that daughters of both white and black teen mothers face significantly higher risks of teen childbearing than daughters of older mothers. We also find, more generally, that patterns of teenage family formation (i.e., both marriage and childbearing behaviors) tend to be repeated intergenerationally. The results suggest that the intrafamily propensity for early childbearing is not inherited biologically, at least not through factors related to the timing of puberty. Rather, the intergenerational patterns appear to operate at least in part through the socioeconomic and family context in which children grow up.     

Economic determinants of fertility: Results from cross sectional aggregate data

Census data for areal units, SMSA’s in 1960 and cities in 1940, are used to test hypotheses and estimate parameters concerning the influence of a variety of socioeconomic variables on fertility rates of ever married white and nonwhite women aged 25–29, 30–34, 35–44, and 45–49. An economic model of the demand for children is adopted as the theoretical framework. The principal findings are that the market earnings opportunities for wives have an important negative effect on the fertility rate and that male income, representing the income of husbands, has a small but positive effect on fertility. The implication of these results is that changes in economic variables, for example, improvements in the employment opportunities and wages for wives or the establishment of a children’s allowance program, may be expected to affect fertility.     

Bargaining over family size: The determinants of fertility in Brazil

Understanding how households make fertility decisions is important to implementing effective policy to slow population growth. Most empirical studies of this decision are based on household models in which men and women are assumed to act as if they have the same preferences for the number of children. However, if men and women have different preferences regarding fertility and are more likely to assert their own preferences as their bargaining power in the household increases, policies to lower fertility rates may be more effectively targeted toward one spouse or the other. In this paper, we test the relevance of the single preferences model by investigating whether men and women's nonwage incomes have the same effects on the number of children in the household. We find that while increases in both the man and woman's nonwage income lower the number of children in the household, an equivalent increase in the woman's income has a significantly stronger effect than the man's. In addition, we find that increases in women's nonwage transfer income have the strongest effects on the fertility decisions of women with low levels of education. The most important policy implication of our results is that policies aimed at increasing the incomes of the least-educated women will be the most effective in lowering fertility rates.     

The determinants of early fertility decline in Texas

This study examines the determinants of fertility control in a frontier population made up largely of German-Americans during the years from 1850 to 1910. The analysis employs a complex register of population constructed from census enumerations, civil and ecclesiastical vital registration, and tax assessment rolls. The article begins with a series of bivariate analyses with cohort of mother’s birth, religion, ethnicity, and husband’s occupation determining marital fertility. The second half of the paper presents a multivariate model of the determinants of fertility using these and other demographic characteristics as independent variables. The conclusions emphasize the importance of the overall trend toward fertility decline in the United States, as well as the role of religion and of occupational differences, in determining changes in fertility behavior in the population of Gillespie County, Texas.     

Religion and fertility in the United States: New patterns

In the United States, the baby boom-era pattern of high Catholic and low Protestant fertility has ended. Among non-Hispanic whites in the 1980s, Catholic total fertility rates (TFRs) were about one-quarter of a child lower than Protestant rates (1.64 vs. 1.91). Most of the Protestant-Catholic difference is related to later and less frequent marriage among Catholics. Future research on the demography of religious groups should focus on explaining the delayed marriage pattern of Catholics, the high fertility of Mormons and frequently attending Protestants, and the very low fertility of those with no religious affiliation.     

Mortality levels and family fertility goals

The relationship between mortality levels and family fertility goals is a fundamental problem in the theory of the demographic transition. This paper deals with the logical problems of estimating family fertility rates from the expected probability of a child surviving to a given age of a parent. The possibility of committing the ecological fallacy makes precise prediction difficult. We critically analyze an existing mathematical model of family fertility decisions. We show that, by incorporating more data (here, on birth order) in a more comprehensive model capable of using those data, then the predictability of fertility rates over time can be significantly improved.     

Family limitation and the fertility transition: Evidence from the age patterns of fertility in Europe and Asia

Summary The age patterns of marital fertility levels and decline in modern Asia and historical Europe are analysed in order to answer two questions: (1) How closely do the age patterns of marital fertility in both areas prior to a systematic fertility decline conform to the age pattern of natural fertility? (2) How similar are the age patterns of the fertility transition experienced in Europe in the past, and the age pattern of fertility decline now under way in a number of Asian populations? The answers have important implications for our understanding of the fertility transition. They suggest that modern family limitation (i.e. parity-specific fertility control) was largely absent prior to a secular decline in marital fertility in both Europe and Asia. Furthermore, the evidence indicates that once the practice of family limitation starts to spread among the broader strata of the population, it seems almost inevitably to increase until it becomes a common behavioural norm. In this respect, the modern fertility transition appears to result from the spread of innovative behaviour and cannot be viewed simply as an adjustment to new socio-economic circumstances based on previously established behavioural mechanisms.     

A quantitative study of the determinants of fertility behavior

Recent literature shows great interest in the quantitative study of the determinants of fertility. In a similar way, this study takes an across-country approach to specify independent variables, to separate economic from social and political variables, to make distinct comparisons of fertility responses in developed and underdeveloped countries, and to examine a wide range of hypotheses. The key is empirical analysis by separate regressions. This permits direct comparisons of countries at different levels of development, increases the probability of obtaining statistically significant regression coefficients, and standardizes the analysis for factors which vary with level of development.In this way, the authors determine positive and statistically significant relations between fertility and illiteracy, child mortality, proportion of agricultural population, proportion of nonfarm selfemployment, and overcrowded housing and show a negative significant relationship between fertility and communism. The study does not establish statistically significant relations, however, for population density, social mobility, substitutes for sexual intercourse, achievement motivation, protein in the diet, and religion.In general, the signs of the regression coefficients for the separate levels of development are the same as those for all countries combined. Any failure to attain statistical significance may be explained by small sample size and insufficient variation in the variables for separate levels of development.     

A socioeconomic analysis of the determinants of fertility: the case of Vietnam

This paper is an economics-based quantitative analysis of the determinants of individual fertility in Vietnam, measured as the number of children ever born. In addition to the conventional linear model, two limited dependent variable models, Poisson and ordered-logit, are estimated using data from the 1988 Vietnam Demographic and Health Survery. We find, among other things, that husbands‘ characteristics are almost as important as those of wives in determining fertility, perhaps a reflection of the still dominant role of husbands in Vietnamese families. Both paternal and maternal education have important impacts on fertility. Of special interest is the evidence that supports the attitudinal effect of education over the opportunity-cost effect. Received April 22, 1996 / Accepted January 13, 1997     

A sequential probability model of fertility patterns

The present paper analyses the fertility histories of a sample of women within a stochastic framework. Recognising the sequential nature of reproductive decisions, the probability that a birth will occur at any given date is related to the realisations of past decisions and to all new information accrued since the last decision date, as well as to the characteristics of the potential mother. Time series are combined with survey data to provide information about the changing economic environment facing all women in the sample. The results of the analysis show the effects of wage rates, child benefits and various personal characteristics on birth probability profiles. The conclusions of the econometric analysis are related to existing theory and to the results of other empirical studies of the economic factors affecting the timing and spacing of births.Thanks are due to Ermisch, Jurgen Doornik and anonymous referees for helpful comments, to Mrs Su Spencer for careful typing and also to the ESRC Data Archive for making available the data. All errors are, of course, ours.     

An analysis of major proximate determinants of our fertility]

The sample survey of fertility, in Shanghai city and Shanxi and Hebei provinces of China in 1985, provided plentiful data about fertility, marriage, contraceptive usage and breastfeeding in terms of The World Fertility Survey Model. The data, along with Bongaarts' model, was utilized to analyze the relation between several proximate determinants and fertility changes. When comparing these three geographic areas, the largest difference was breastfeeding and the smallest one was non- contraceptive usage. It was very different from the results of The World Fertility Survey in developing countries in 1977. The difference of marriage indexes among three areas was close to that of breastfeeding; but for the effects on induction of fertility, marriage index surpassed breastfeeding. There were two models showing effective efficacy on fertility decline. One was the Shanghai model, in which much more effect came from marriage delay, accounting for 71%; another was the Hebei model, induction of fertility was caused by contraceptive usage, about 53%. Both indicated that the major factor affecting fertility decline was the family planning program. Otherwise, it seemed to indicate that different factors such as social, economic development indirectly decreased fertility through family planning programs.     

Recent European fertility patterns: fitting curves to 'distorted' distributions

Recent patterns of fertility in Europe show marked differences between countries. Recent United Kingdom and Irish fertility curves show 'distortions' in terms of a 'bulge' in early age fertility, distinct from the smoother curves of other European countries. These patterns may not be adequately described by mathematical functions used by previous studies to model fertility curves. A mixture model with two component distributions may be more appropriate. The suitability of the simple and mixture Hadwiger functions is examined in relation to the fertility curves of a number of European countries. While the simple Hadwiger model fits recent period age-specific fertility distributions for some countries, others which display a 'bulge' in early age fertility distributions for some countries, others which display a 'bulg' in early age fertility require a mixture Hadwiger model. Some of the parameters of the Hadwiger models appear to be related to familiar demographic indices. The simple and mixture Hadwiger models appear useful in describing and comparing fertility patterns across European countries.