Spacing of children in Switzerland: constancy or change? Marion Burkimsher Affiliated to University of Lausanne.

Slides:



Advertisements
Similar presentations
Centre for Market and Public Organisation Understanding the effect of public policy on fertility Mike Brewer (Institute for Fiscal Studies) Anita Ratcliffe.
Advertisements

The Economic Consequences of the Transition into Parenthood Wendy Sigle-Rushton Paper presented at the GeNet Seminar: Low Fertility in Industrialised Countries.
Estimating inter-censuses fertility rates by ethnic and religious groups using the LFS and the Own-Child Method Sylvie Dubuc
1 Childlessness: a further look at cohort estimates based on survey time-series data Máire Ní Bhrolcháin*, Eva Beaujouan*, and Mike Murphy** * Centre for.
The Postponement of Childbearing, Completed Fertility and Subjective Well-being Hans-Peter Kohler Axel Skytthe and Kaare Christensen University of Pennsylvania.
A comparison of the characteristics of childless women and mothers in the ONS Longitudinal Study Simon Whitworth Martina Portanti Office for National Statistics.
Fertility, Proximate Determinants and Fertility Preferences
Spectrum 2007 Overview and New Changes UNAIDS Reference Group on Estimates, Model and Projections 2007.
The Demography of Early Parenthood Kathryn Edin Harvard University Laura Tach University of Pennsylvania Northeastern University January 16, 2011.
Chapter 6 Women at Work Outline of Chapter: 1) Review employment trends. 2) Discuss various reasons for observed trends. 3) Note current employment differences.
COMPARING PROPORTIONS IN LARGE SAMPLES Examples: Compare probability of H on two coins. Compare proportions of republicans in two cities. 2 populations:
Fertility (within and across cohorts)  What is available over time?  Longitudinal perspectives  Complimentary analytical inputs and outputs  How to.
Demographic changes in the UK, Part 1 Joan Garrod
Projection of West Virginia K-12 (0-19 Years Old) Population Christiadi Bureau of Business and Economic Research College of Business and Economics West.
TRENDS IN FAMILY BEHAVIOUR: FERTILITY PATTERNS LEAVE POLICIES & RESEARCH, Praha Jitka Rychta ř íková Department of Demography and Geodemography.
National Family Health Survey (NFHS-3)
Centre for Market and Public Organisation Understanding the effect of public policy on fertility Mike Brewer (Institute for Fiscal Studies) Anita Ratcliffe.
Following lives from birth and through the adult years Examining the truth behind the myth of the 'the Monstrous Army on the March' Dylan.
Partnering With Parents More effective Religious Education.
Population Projections: Social Security Administration Alice Wade, Office of the Chief Actuary Population Projections: Social Security Administration Alice.
Are women in Europe still having babies? Marion Burkimsher University of Lausanne, Switzerland.
 Fertility = the ability to have children  Total Fertility Rate = the estimated # of children that would be born to each woman according to fertility.
8.1 Inference for a Single Proportion
Calculating the Dependency Ratio
1 Time spent with family during a typical workday, 1986 to Top Employer Summit March 2007 Rosemary Bender, Statistics Canada.
The Effect of Elderly Household Members on School Enrollment of Children in Tibet Barbara A. Anderson*, Cheong-Seok Kim**, John H. Romani*, John Traphagan***
WORKSHOP AGIR THE HAGUE FEBRUARY RESULTS FOR BELGIUM – WP1 J. MESTDAGH – M. LAMBRECHT Federal Planning Bureau Economic Analysis & Forecasts.
Far and few between? The child- bearing decisions of Portuguese women Author: Márton Varga Conference on the Impact of Day-Care Services in Visegrad Countries.
Incidence and Returns to Apprenticeship Training in Canada: The Role of Family Background and Immigrant Status Ted McDonald Department of Economics University.
Childbearing in Canada HHS 4M Unit #4. How many is enough? The present situation in Canada shows that couples are beginning to have children later in.
Time-invarying Covariates of Successive Births in Pakistan Ali Muhammad Ph.D. Candidate Department of Sociology University of Western Ontario London, Ontario.
Cohort fertility trends across Europe: commonalities and anomalies Marion Burkimsher Affiliated to the University of Lausanne.
Education and the contemporary ‘baby boom’: Evidence from the Northern Ireland Longitudinal Study Patrick McGregor Patricia McKee “Predicting Short Run.
Demographic Challenges Social Agendas and the Future.
First analyses using EFG data: investigations on childlessness Dr. Marion Burkimsher Affiliated to the University of Lausanne.
Malawi’s population is growing rapidly Source: National Statistics Office.
Centre for Market and Public Organisation Understanding the effect of public policy on fertility Mike Brewer (Institute for Fiscal Studies) Anita Ratcliffe.
Chapter 9 Inferences from Two Samples Lecture 1 Sections: 9.1 – 9.2.
A case study on divergence and convergence of fertility behaviour in Switzerland The value of detailed fertility data Dr Marion Burkimsher Universities.
Statistics for Psychology!
Chapter 9-1.  Study of populations, usually human  Demographers study historical size and makeup of various world populations to make predictions about.
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.
Was slowing postponement really the engine for TFR rises in European countries? Marion Burkimsher Affiliate researcher University of Lausanne, Switzerland.
2014-based National Population Projections Paul Vickers Office for National Statistics 2 December 2015.
The Population Pyramid what it is and how it works.
Chapter 16, The Family The Nature of Families Perspectives on the Family Dynamics of Mate Selection and Marriage.
Russia’s Recent Fertility Increase – Why it Occurred and Can it be Sustained? Vladimir Archangelskiy, Julia Zinkina, Andrey Korotayev.
Differentials in desires and realisation: 1st, 2nd and 3rd child Marion Burkimsher.
Measuring the population: importance of demographic indicators for gender analysis Workshop Title Location and Date.
Pavlos Baltas, Postdoctoral researcher Department of Statistics, Athens University of Economics and Business, Greece. Department of Statistics, Athens.
Marion Burkimsher Affiliated to the University of Lausanne Spacing between children and trends in mean age of successive birth orders: quite different.
2010 World Programme on Population and Housing Censuses Workshop on Civil Registration and Vital Statistics in the UNESCWA Region Cairo, Egypt, December.
Dr Marion Burkimsher Universities of Geneva and Lausanne Visualisation of fertility trends: Switzerland as a case study.
WP5.4 – Transnational transfer of experiences Overview of methodology for population projections Jana Suklan – Piran.
Pof. Dr Devi Bahadur Thapa. Demography Demography is the scientific study of human population It is derived from two Greek words:  Demos = people  Graphien.
Human Population Growth Miller Chapter Factors affecting population size Populations grow or decline through the interplay of three factors Births.
Which socio-demographic living arrangement helps to reach 100? Michel POULAIN & Anne HERM Orlando 8 January 2014.
Follow along on Twitter!
M. Sc (student of IVth semester) Department of Statistics
Family and household structure Part 2
Fertility and the family
Childfree? Or happy family?.
TFRs have been rising… Have women been having more babies?
SOA Annual Meeting 2005 Fertility Symposium
Affilliated to the University of Lausanne, Switzerland
Fertility, Proximate Determinants and Fertility Preferences
FERTILITY MEASURES.
Centre for Market and Public Organisation
CHAPTER 3 FERTILITY MEASURES .
Presentation transcript:

Spacing of children in Switzerland: constancy or change? Marion Burkimsher Affiliated to University of Lausanne

Source BEVNAT

Birth spacing - what and why? Not difference in mean age of successive birth orders Not difference in mean age of successive birth orders Can obtain spacing data from surveys (or census data), but not birth registration by birth order Can obtain spacing data from surveys (or census data), but not birth registration by birth order Why these are different…(women who end up having bigger families start childbearing at a younger age; women who start later have fewer children) Why these are different…(women who end up having bigger families start childbearing at a younger age; women who start later have fewer children) With birth spacing data (probability of subsequent birth knowing duration since last birth) - and female population by parity & age - can make good TFR projections by McDonald-Kippen method With birth spacing data (probability of subsequent birth knowing duration since last birth) - and female population by parity & age - can make good TFR projections by McDonald-Kippen method

Source BEVNAT

Example of erroneous deduction: spacing in Switzerland FFS sample data from 1994 for women aged ie. cohorts Mean age at 1st birth 26.9 Mean spacing 1st-2nd child: 3.13 years Mean spacing 2nd-3rd child: 3.62 years Mean spacing 3rd-4th child: 3.13 years Houle & Shkolnikov, 2006 then made the following incorrect deductions using age at 1st birth as the starting point: Deduced mean age at 2nd birth 30.0 Deduced mean age at 3rd birth 33.6 Deduced mean age at 4th birth 36.8

Restating … We cannot deduce anything about birth spacing from differences in mean age at successive birth orders! We cannot deduce anything about mean age of successive birth orders from information on birth spacing! Why? Because women who have their first child at a younger age have more likelihood of having a larger family than women who start at a later age. This is easier to understand with an illustration…

2 hypothetical scenarios…

Mean age at 1st birth: 25 Mean age at 2nd birth: 28 Mean age at 3rd birth: 31 Mean age at 4th birth: 34 Mean spacing between all birth orders: 3 years Mean age at last birth: 29.5 Age Scenario 1: 4 women, having 1, 2, 3 and 4 children respectively

Mean age at 1st birth: 29.5 Mean age at 2nd birth: 31 Mean age at 3rd birth: 32.5 Mean age at 4th birth: 34 Mean spacing between all birth orders: 3 years Mean age at last birth: 34 Age Scenario 2: 4 women, having 1, 2, 3 and 4 children respectively

Hypothesis That between 1969 and the present time there has been a transition from Scenario 1 being the norm to Scenario 2. But we need birth spacing data…

Using data from SHP Data about cohabiting children had to be combined with data on (older) children who had moved out of the household Frequency curves of spacing are skewed; modal gap < median gap < mean gap Likelihood of going on to a 2nd / 3rd child changes over time Solution - survival analysis, life table method (as only whole year data) Survival analysis gives: 1.change in intensity 2.change in ultimate likelihood 3.median duration of transition (if >50% experience it)

Interesting statistics from SHP sample Longest gap 1st-2nd for a woman is 18 years Longest gap 1st-2nd for a man is 32 years Longest gap 2nd-3rd for a woman is 31 years! Longest gap 2nd-3rd for a man is 25 years Range, age at 1st birth, woman years Range, age at 1st birth, man years Range, age at 2nd birth, woman years Range, age at 2nd birth, man years …as men have no upper bound, only look at women’s rates …

Modal gap 1st-2nd & 2nd-3rd is 2 years

Median gap % no 2nd 1960s s s s >3.622 No significant change in 1st-2nd gap from 1960s to present day!

But significant changes for 2nd-3rd child transition!

How does age of mother affect spacing? …remembering that age at childbearing has been rising over time

Significantly less likelihood of women having a 2nd child if over 35 when 1st born

Very significant difference in likelihood of woman having 3rd child if her 2nd born before/after 30

Various potential determinants

Cannot yet confirm or deny hypothesis Initial investigations encouraging… SHP is only up-to-date data source on birth spacing in Switzerland More work to be done…

Spacing of children in Switzerland: constancy or change? 1st-2nd child transition > constancy 2nd-3rd child transition > change (decline in likelihood)

Thank you!