Demographic Analysis and Evaluation

Slides:



Advertisements
Similar presentations
MICS4 Survey Design Workshop Multiple Indicator Cluster Surveys Survey Design Workshop Questionnaire for Individual Women: Child Mortality.
Advertisements

United Nations Sub-Regional Workshop on Census Data Evaluation Phnom Penh, Cambodia, November 2011 Evaluation of Fertility Data Collected from Population.
Dealing With A Future Which Is in Perpetual Construction---Washington State Provisional Projection by Age, Sex And Race/Ethnicity: Office of.
Census-based measures of fertility, mortality, and migration Hist 5011.
Analysis Age and Sex Distribution Data
Introduction to fertility In Demography, the word ‘fertility’ refers to the number live births women have It is a major component of population change.
Multiple Indicator Cluster Surveys Survey Design Workshop Sampling: Overview MICS Survey Design Workshop.
Evaluation of Age and Sex Distribution Data United Nations Statistics Division.
Demography Dr Heba Khodary Allam.
Workshop on Demographic Analysis and Evaluation. Fertility: The Own-children Technique A. Introduction الخصوبة: تقنية ربط الأطفال مع امهاتهم أ مقدمة.
Sub-regional Workshop on Census Data Evaluation, Phnom Penh, Cambodia, November 2011 Evaluation of Census Data using Consecutive Censuses United.
Workshop on Demographic Analysis and Evaluation. Fertility: Indirect Estimation Based on Age Structure. Rele’s Method.
Sub-regional Workshop on Census Data Evaluation, Phnom Penh, Cambodia, November 2011 Evaluation of Age and Sex Distribution United Nations Statistics.
2010 World Programme on Population and Housing Censuses Workshop on Civil Registration and Vital Statistics in the UNESCWA Region Cairo, Egypt, December.
2010 World Programme on Population and Housing Censuses Workshop on Civil Registration and Vital Statistics in the UNESCWA Region Cairo, Egypt, December.
Dependency Ratio The proportion of persons above 65 years and below 15 years of age are considered to be dependent on the economically productive age.
United Nations Sub-Regional Workshop on Census Data Evaluation Phnom Penh, Cambodia, November 2011 Evaluation of Internal Migration Data Collected.
United Nations Workshop on Evaluation and Analysis of Census Data, 1-12 December 2014, Nay Pyi Taw, Myanmar DATA VALIDATION-II Consistency check.
Overview of Census Evaluation through Demographic Analysis Pres. 3 United Nations Regional Workshop on the 2010 World Programme on Population and Housing.
How do you think that studying human populations will differ from studying animal populations? Do Now!
United Nations Sub-Regional Workshop on Census Data Evaluation Phnom Penh, Cambodia, November 2011 Evaluation of Mortality Data Collected from Population.
United Nations Regional Workshop on the 2010 World Programme on Population and Housing Censuses: Census Evaluation and Post Enumeration Surveys, Bangkok,
Chapter 9 Section 1: Studying Human Populations. Demography  Demography  The study of populations.  Demographers have grouped countries into two groups:
Population Projections
Unconventional Approaches to Mortality Estimation
Fertility: Concepts and Measures
M. Sc (student of IVth semester) Department of Statistics
Demographic Analysis Migration: Estimation Using Residual Methods -
Human Populations.
Population.
Chapter 9-1 The Human Population.
Fertility and the family
Workshop on Demographic Analysis Fertility: Reverse Survival of Children & Mothers With Introduction to Own Children Methods.
Introduction to fertility
Mortality: Introduction, Measurements
Demographic Analysis Age and Sex Structure The Population Pyramid as an Historical Record and a Tool for Demographic Analysis.
Workshop on Demographic Analysis
Section1, Studying Human Populations
DEMOGRAPHIC TRANSITION
POPULATION PROJECTIONS
DEMOGRAPHIC TRANSITION
Section1, Studying Human Populations
Central Statistics Organization
Dr Paul T Francis, MD Prof. Com Med College of Medicine, Zawia
Demographic Analysis and Evaluation
Vital statistics and their sources
POPULATION PROJECTIONS
Objectives Describe how the size and growth rate of the human population has changed in the last 200 years. Define four properties that scientists use.
Ch 9 – The Human Population
Section1, Studying Human Populations
FERTILITY MEASURES.
Workshop on Census Data Evaluation for South East Asian Countries
Demographic Analysis and Evaluation
Demographic Analysis and Evaluation
Demographic Analysis and Evaluation
Demographic Analysis and Evaluation
Overview of Census Evaluation through Demographic Analysis Pres. 3
Demographic Analysis and Evaluation
Demographic Analysis and Evaluation
Overview of Census Evaluation Methods
Section1, Studying Human Populations
Marlar Aung Director Central Statistical Organization
Integrating Gender into Population and Housing Censuses
1.Household and family socio economic status FEBRUARY 2018
Mortality rate = No. of deaths * K
CHAPTER 3 FERTILITY MEASURES .
Demographic Analysis and Evaluation
Human Populations.
Section1, Studying Human Populations
Demography.
Presentation transcript:

Demographic Analysis and Evaluation Workshop on Demographic Analysis and Evaluation 1

Fertility: The Own-children Technique A. Introduction

The Own-children Method In this part of the workshop we will cover: The own-children fertility estimation technique The East-West Center's program FERT, which performs the calculations The own-children technique is described in Population Analysis with Microcomputers, chapter 4 (pp. 200-201 and appendix IV-4). The FERT manual may be downloaded from the website of the East-West Population Institute. http://www.eastwestcenter.org/research/research-program- overview/population-and-health/demographic-software-available- from-the-east-west-center/ 3

The Own-children Method This technique estimates age-specific fertility rates based on a current age structure of the population and mortality estimates for the past. The time reference of the estimates runs from the year prior to the census to about 15 years back in time.

The Own-children Method If the current age of the mother and of her children is known, it is possible to calculate not only the year of birth of each child, but also the age of the mother at the birth of the child. With this information, an estimate of the number of births for each year prior to the census can be obtained, as well as the distribution of births by age of mother. With data on children by age of their mothers and females by single ages for several years prior to the census, age- specific fertility rates can be calculated. The method takes into account mortality of both women and children during the rejuvenation period.

The Own-children Method Data required: Census information that matches each child to its mother – either relationship to head of household for both women and children in the household or a code “mother's person number” for each child. A distribution of the population by single years of age Mortality estimates for a 15-year period prior to the census.

The Own-children Method Data required: A distribution of the population by single years of age The number of children under 15 years of age living with their own mothers ("matched children"), classified by both their own single years of age and their mothers' single years of age. The number of children under 15 years of age not living with their own mothers ("unmatched children"), classified by their own single years of age. The total number of women, by single years of age.

The Own-children Method Assumptions: Census coverage is the same for children as for women. The completeness of census enumeration is the same for all ages. There is no migration. There is no age misreporting. The age distribution of mothers of unmatched children is the same as the age distribution of mothers of matched children.

The Own-children Method Procedure, step-by-step: Matching of children with their natural mothers by age of child and age of mother. Adjustment of numbers of children for “non-own children” (children who cannot be matched) Rejuvenation (reverse-survival) of mothers to birth year of each child and rejuvenation of each child to its birth year based on its age at interview. Calculation of age-specific fertility rates using rejuvenated children and rejuvenated women for each year over the past 15 years or so.

The Own-children Method Procedure: The technique requires special tabulations matching children with their natural mothers. Once children and mothers are matched, the number of children and the female population are rejuvenated in such a way that children are continuously linked to their mothers, by age. This procedure allows the estimation of the number of births, by age of mother, for each year. Based on the number of births by age of mother and the female population, age-specific fertility rates are calculated.

The Own-children Method Advantages: The technique provides estimates of the total fertility rate as well as age-specific fertility rates without requiring any assumptions concerning the pattern of fertility. Own-children fertility estimates can be calculated from any survey, not just a demographic survey, if the requisite household composition information is collected.

The Own-children Method Limitations: Fertility estimates are based on the assumption that completeness of enumeration was the same for all ages. However, the completeness of enumeration for ages under 5 years is often lower than for other age groups. This produces biased estimates, since the number of births estimated based on the youngest ages is too small. As a result, the trend of the fertility estimates shows a decline for 2 or 3 years prior to the census. ASFR estimates are affected by age-misstatement.

The Own-children Method and the East-West Center Program FERT Stage 1 Working from a person record file, FERT’s MATCHTAB program creates a mother-child matrix. The person record file reflects data collected using a questionnaire such as the 1974 American Samoa census questionnaire reproduced on the next page. Questions highlighted include (1) person’s relationship to head, (2) sex, (3) date of birth, (10) mother’s person number, and (11) employment status.

Preliminary Steps

Rules for Matching Children to Mothers Note: The rules have been created to be flexible enough to adapt to the particular country’s situation. Relationship to Head If the mother is the spouse of the head, then the child must be the child of the head. If the mother is the child of the head, then the child must be the grandchild of the head. If the mother is the mother of the head, then the child must be either the head or the sister or brother of the head.

Rules for Matching Children to Mothers (cont.) Age The mother must be between 15* and 65 years old. The child must be between 0 and 14 years old. Age Difference The mother must be at least 14* years older than the child. The mother must be no more than 50* years older than the child. * Age limits may change, depending on the country being analyzed.

Rules for Matching Children to Mothers (cont.) Children Living (or children living at home, if available) A mother may not have more children assigned to her than she has children living. If information on the sex of children living is available, this information can also be used in matching.

Cumulative Proportions Of Own Children (Ages 0-14) Proportions matched by age of mother for various methods of matching, American Samoa, 1974

Percentage of Own-children (Under Age 15)

Percentages of Non-own Children Using Different Matching Procedures Alternative non-own children estimates for American Samoa 1974

TFRs with Different Matching Procedures TFR estimates for American Samoa 1974

The Own-children Method and the East-West Center Program FERT Stage 3 Reverse survival- based fertility estimation using OWNCH3

Reverse Survival Reverse survival adjusts numbers of children and numbers of mothers for mortality over a period of years matching the ages of the children. Children must be adjusted for: Non-own children factor Underenumeration Women must be adjusted for:

Reverse Survival For a census in 1974, to calculate an age-specific- fertility rate for women who were age 25 in 1969: where C is children, W is women, B is births, and F is age-specific fertility

To Determine a Non-own Factor For each child age group, the non-own factor is calculated as the ratio of total to own-children. It is then multiplied by the number of births to women of each age, inflating the number or births to account for all births.

Calculation of Age-specific Fertility Rates / So, for example:

Dating the Estimates On average, children under age 1 were born half a year prior to date of the interview, children age 1 were born 1.5 years prior to date of interview, and so on. For this reason, ASFRs from FERT should be dated 6 months prior to the survey date (which we might approximate as the midpoint of the fieldwork period).

Graph the Single-year ASFRs to Check for Own-children Estimates Consistency across Sources Three censuses, Kenya

Graph the Single-year ASFRs to Check for Consistency across Methods Own-children and birth history-based estimates, Philippines

For More Detail Michael Levin, 2007. “Own Children Fertility Estimates Using Demographic Health Survey Data: Methodology and Comparisons.” Combined with the East-West Center’s manual EASWESPOP: Fertility Estimate Programs in your workshop handout. Or, see Levin-OwnChildrenExtract.pdf on your workshop CD.

References Cho, Lee-Jay, 1973. "The own-children approach to fertility estimation: an elaboration," in Proceedings of the International Population Conference, Liège 1973, International Union for the Scientific Study of Population. Liège. Grabill, Wilson, 1942a. "A method for calculating growth and net reproduction rates from census data," Master's dissertation submitted to the American University. Washington D.C.

References Grabill, Wilson and Lee-Jay Cho, 1965. "Methodology for the measurement of current fertility from population data on young children," in Demography, vol. 2, pp. 50-73. Retherford, R. and L. J. Cho, 1978. "Age-parity-specific birth rates and birth probabilities from census or surveys data on own children," in Population Studies, vol. 32, pp. 567-581.