POPLINE Document Number: 090063
Author(s):
Hoem JM
Source citation:
In: International Population Conference / Congres International de la Population, Montreal 1993, 24 August - 1st September. Volume 3, [compiled by] International Union for the Scientific Study of Population [IUSSP]. Liege, Belgium, IUSSP, 1993. :281-91.
Abstract:
Papers that contain empirical applications of event-history analysis in demography are discussed. All 4 papers have Third World topics and 3 of them are about demographic behavior in mainland China. The links between some classical methods of demographic analysis and their modern generalizations in event-history analysis are displayed. The connections between life-table and standardization techniques on the one hand, and event-history analysis on the other are also outlined. the essence of event-history analysis is the hazard function, which is the rate of occurrence of some event, for instance a marriage rate, a birth rate, or a death rate. Intensity regression enables to take an x-year old man's force of mortality to be a generic function that may depend on one or more observed factors, some with fixed values and some with values that may change during the life segment under study such as developments prior to entry into the life segment studied and aspects of the behavioral history during observations. Considering the curves of age-specific first-birth rates for Sweden, it is found that the curves are largely parallel for ages 16 through 28, and again parallel for ages 31 and upward. This is a criterion for the suitability of standardization. Standardization of first-birth rates with respect to age means that the first-birth rates can be also standardized with respect to year. The annual index values for the various birth orders can be plotted against the calendar year. The remarkable trends in childbearing dynamics in Sweden between the early 1960s and 1990 indicated that third-birth fertility reached a higher level in 1990 than it had even at its highest just before it plummeted during the 1960s and early 1970s. Standardization is a method that removes any compositional effect attributable to some factor (such as age) when comparing the occurrence risk of a certain event in one population with the corresponding risk in another. This will produce measures of super-risk or sub-risk.
Keywords:
SwedenIndex page
Demographic Analysis
Life Table Method
Linear Regression
Standardization
Survivorship
Contraception
Breastfeeding
Behavior
Mortality
Marriage Age
Life Style
Developed Countries
Europe, Northern
Europe
Research Methodology
Statistical Regression
Data Analysis
Data Adjustment
Length of Life
Population Dynamics
Demographic Factors
Population
Family Planning
Infant Nutrition
Nutrition
Health
Marriage Patterns
Marriage
Nuptiality