Are women in Europe still having babies? Marion Burkimsher University of Lausanne, Switzerland.

Slides:



Advertisements
Similar presentations
Replacement Migration – a remedy for Europe? Chris Wilson European Migration Network, Malta Annual Conference St Julians,
Advertisements

BR and Fertility Why do some area’s of the world have higher fertility rates? BABY O MATIC How many will you have? Why do governments care about fertility?
Population By: Rebecca Marty.
Population Ecology Chapter 39.
Census-based measures of fertility, mortality, and migration Hist 5011.
Where has the world’s population increased?
Section #1: Studying Human Populations
AP Human Geography Mr. Jones
Population censuses and surveys as complementary sources of a vital statistical system László Kajdi Hungarian Central Statistical Office Expert Group Meeting.
 Population Clock Population Clock  The global population reached 6 billion in fall of 1999.
Population Sizes Throughout History: The main cause of our rapid population increase is the decrease in the death rate. With new medicines and technologies,
The study of the human population
Distribution of World Population Growth  Increases and Decreases
TRENDS IN FAMILY BEHAVIOUR: FERTILITY PATTERNS LEAVE POLICIES & RESEARCH, Praha Jitka Rychta ř íková Department of Demography and Geodemography.
World Populations – As we age The world's population has moved from a path of high birth and death rates to one characterized by low birth and death rates.
Population Increase. World Population Growth Natural Increase Fertility Mortality.
Methods - Rehearsel Nico Keilman Demography of developing countries ECON 3710 I-lands demografi ECON 3720 January 2009.
By Crystol Caesar Shaquille Elliot.  Definition of Fertility Rate  Factors influencing Fertility Rate  Video Depicting Factors  Measurement of Fertility.
The Study of Population. Study of Population is called Demographics. Two of the most basic factors that affect Population are Birth rates and Death rates.
Centre for Market and Public Organisation Understanding the effect of public policy on fertility Mike Brewer (Institute for Fiscal Studies) Anita Ratcliffe.
Native and immigrant fertility patterns in Greece: a comparative study based on aggregated census statistics and IPUMS micro-data Cleon Tsimbos 1, Georgia.
What factors affect population change?. The Input-Output Model of Population Change Births Immigration Deaths Emigration Inputs Outputs Natural Change.
Demographic development in Estonia: main trends and outlook for the future Luule Sakkeus Allan Puur Leen Rahnu Estonian Institute for Population Studies,
A – Migration Introduction
Chapter 2 Population Key Issue 2.
Modernisation and secularisation quantified Marion Burkimsher Observatoire des Religions, University of Lausanne, Switzerland Marion Burkimsher Observatoire.
The most important environmental issue?. The scientific study of the characteristics in the size and structure of human and non- human populations.
The Human Population Chapter 9
Spacing of children in Switzerland: constancy or change? Marion Burkimsher Affiliated to University of Lausanne.
Cohort fertility trends across Europe: commonalities and anomalies Marion Burkimsher Affiliated to the University of Lausanne.
PREAICE GEOGRAPHY POPULATION AND SETTLEMENT. POPULATION DYNAMICS 1 MILLION YEARS AGO: 125,000 PEOPLE. 10,000 YEARS AGO WHEN PEOPLE DOMESTICATED ANIMALS,
A case study on divergence and convergence of fertility behaviour in Switzerland The value of detailed fertility data Dr Marion Burkimsher Universities.
Sub-replacement Fertility: Why Pure Postponement Models are Inadequate Elizabeth Sowers & Ron Lesthaeghe, UC Irvine Period Total Fertility Rates (PTFRs)
Population Trends Why do populations grow and shrink?
The demographic transition model IGCSE Global Perspectives.
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.
Studying Human Populations Section 9.1 Objectives: 1. 1.Define four properties used by scientists to predict population sizes Make predictions about.
1. What is the history of human population growth and how many people are likely to be on this planet by 2050? -For most of human history, the population.
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.
Population Projection Interpretation of Outputs DemProj Version 4 A Computer Program for Making Population Projections.
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.
Demographic Transition.  Total fertility rate (TFR) = average number of children that a woman will have in her reproductive years (0 - 5+) Most useful.
Marion Burkimsher Affiliated to the University of Lausanne Spacing between children and trends in mean age of successive birth orders: quite different.
Dr Marion Burkimsher Universities of Geneva and Lausanne Visualisation of fertility trends: Switzerland as a case study.
CHAPTER 2 SECTION 2 Where has the world’s population increased?
 Demography is the study of the characteristics of populations, especially human populations.  Demographers study the historical size and makeup of the.
Cohort religiosity: does it stay at a stable level everywhere and across all cohorts? Marion Burkimsher University of Lausanne.
Population change 1 What is demographic change?. 1.1 What is demographic change? The net change in the population store caused by the inputs of births.
Population Geography I. a. Demography: The study of human populations.
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.
Population Pyramids Presentation created by Robert L. Martinez Primary Content Source: Geography Alive! Regions and People.
Fertility and the family
TFRs have been rising… Have women been having more babies?
Population Pyramids.
FACTORS OF POPULATION CHANGE
Marion Burkimsher Affiliated to the University of Lausanne
World Population video. 1 CE = 1 AD youtube. com/watch
Affilliated to the University of Lausanne, Switzerland
The Human Population.
Key Issue 2: Where Has the World’s Population Increased?
All-time low period fertility in Finland: tempo or quantum effect?
Demographic Analysis and Evaluation
Section 1 – Studying Human Populations
CHAPTER 3 FERTILITY MEASURES .
Presentation transcript:

Are women in Europe still having babies? Marion Burkimsher University of Lausanne, Switzerland

Glacier Snow Meltwater Sublimin -ation Population Births Deaths Immigr -ation Emigr -ation GlaciologyDemography

Questions we will explore Does the Total Fertility Rate say how many children women are having? Which European country had the lowest TFR in recent years and when? If fertility is below replacement level for decades, will the population shrink? What has been the big change in fertility behaviour in recent years? What statistics are needed to make accurate fertility forecasts?

‘Lowest-low’ fertility seen in many countries Total Fertility Rate (TFR) < 1.3 children per woman Bulgaria 1.12 in 1997 Czech Republic1.14 in 1999 Russia1.16 in 1999 Slovakia1.19 in 2003 Slovenia1.20 in 2003 Lithuania1.24 in 2002 Hungary1.27 in 2003 Estonia1.29 in 1998 All these countries are in Eastern Europe Data from Human Fertility Database

In Western Europe TFRs did not drop quite as low Austria 1.33 in 2001 Switzerland1.39 in 2001 Sweden1.51 in 1999 Netherlands1.53 in 1996 (had been lower in 1983) Finland1.70 in 1998 Across Europe the year of minimum TFR was ~ 2000 Since then TFRs have been rising in almost all countries

Data source: 14 countries in Human Fertility Database

But Portugal is the exception to prove the rule! Portugal saw a maximum TFR in 2000 and a steady decline after

So did women in some countries have only ~1 child? The Population Reference Bureau’s definition of TFR is “The average number of children that would be born alive to a woman during her lifetime if she were to pass through her childbearing years conforming to the age- specific fertility rates of a given year” However, it is not quite so simple…. TFR is a period measure and indicates the intensity or popularity of childbearing in a particular year The number of children a woman actually has depends on her fertility behaviour over her life - the associated measure is completed cohort fertility, CCF

Take Switzerland as an example… In the 2000 Swiss census, each person was asked how many children they had had. For women born in who were, therefore, aged 40, and so approaching the end of their childbearing years - the mean number of children they had had was 1.73 But the average TFR for the period was 1.53 ! Why the big difference between 1.53 and 1.73 ?

Possible reasons for mismatch between period fertility rates and cohort fertility rates Data errors: Birth registrations Population totals by age “Sampling” errors in the census Change in population between years of birth and census Differential mortality Immigration and emigration Postponement of childbearing

Being born in Switzerland does not give the right to Swiss nationality. Most immigrants arrive in their 20s

How does postponement make babies ‘disappear’? In Switzerland there has been a steady rise in the Mean Age at First Birth (MAB1) of about 1 month per year, which has gone on for the past 40 years!!! This means that, in effect, in every year from 1970 onwards a month’s worth of babies were ‘postponed’ and were born in the following year So 1/12th of babies are missing from each year’s TFR measure! This accounts for the observed difference of ~0.2 babies/woman

Birth order 1 increase started 1971 Birth order 2 increase started 1973 Birth order 3 increase started 1980 Birth order 4 increase started 1986 Birth order 5+ increase started 1991 Gap between mean age at 1st birth and 4th birth declined from 8 years in 1972 to 4.9 in 1990 and since then has been steady

Increase in MAB1 across Europe Western Europe Portugal 26.1 … 27.7 ∆ 1.59 Austria 26.1 … 27.8 ∆ 1.61 Finland 27.4 … 28.2 ∆ 0.72 Sweden 27.8 … 28.8 ∆ 1.00 N’lands 28.7 … 29.1 ∆ 0.37 Switz … 29.7 ∆ 1.47 Eastern Europe Bulgaria 22.9 … 25.0 ∆ 2.10 Russia 23.1 … ∆ 1.28 Estonia 23.6 … 25.8 ∆ 2.17 Lith … 25.8 ∆ 2.15 Slovakia 23.6 … 26.4 ∆ 2.82 Czech Rep 24.4 … 27.2 ∆ 2.97 Hungary 24.5 … 27.2 ∆ 2.67 Slovenia 25.8 … 28.2 ∆ 2.37

Changes in the fertility curve Let’s look at the age-specific fertility rates (total births by age of woman divided by the population of women of that age) Reproductive age range: In Switzerland, peak rates for first births were age 22 in 1970 and are now age 30 What other changes have happened?

The FR1 is the sum of the age-specific fertility rates, ie. the area under the curve. The TFR is the sum of all birth orders

Changes in fertility rate curves in period Peak has become later (tempo change, timing of childbearing) Peak has become lower (change in intensity) Curve has become wider (increase in standard deviation in MAB1) Curve has changed from being skewed left to nearly symmetric

Trends in birth order 1 fertility rates

How do period and cohort fertility curves differ?

Differences between period and cohort curves Births at younger ages are postponed (women do not follow the synthetic TFR of the year in which they are 15) There is an excess of births at older ages (past the peak) compared to those postponed from younger ages This growth in older age childbearing (particularly of first births) causes the CCF to be greater than the TFR

Explanation of recent rises in TFRs Is it declining postponement rates (proposed by Bongaarts & Sobotka)? My analysis shows it is more complicated…. Trends in TFRs are driven by changes in first birth rates - higher birth orders follow in succession. First birth rates can also be considered as the reflection of the childlessness rate. They are affected by changes in the economy, government policy, ‘norms’

Stage 1: increasing ‘postponement’ rates (surprising!); so driver of TFR rise was marked increase in post-peak childbearing

Stage 2: declining postponement rates; accentuated the TFR rises

Almost all countries have seen a broadening of the fertility curves: increase in births at older ages exceeds decline at younger ages

Parity 1 increase started 1994 Parity 2 increase started 1995 Parity 3 increase started 1998 Parity 4 increase started 2001 Parity 5+ increase started 2001 Reversal in order! Parity 1 had least variability, now most; high parities were most variable, now least

Some countries have seen increased intensity of childbearing, particularly 2nd births, while other countries have not

What is the best estimate of how many children women are having in Europe, taking postponement & recuperation into account? (Bongaarts & Sobotka method) Eastern European countries Bulgaria 1.7 in 2007 Czech Republic1.8 in 2007 Estonia1.9 in 2006 Russia1.6 in 2007 Slovenia1.7 in 2008 Western European countries Sweden 2.0 in 2006 Netherlands 1.8 in 2006 Austria 1.7 in 2006 Finland1.9 in 2007 Switzerland1.7 in 2008 A fall in TFR (or slow-down in increase) after 2008 may occur in many countries because of the recession - but not necessarily all

Will there be a decline in population? Depends on: Migration - balance of immigration and emigration Changes in life expectancy

A woman in Switzerland can expect to die when her 1st child reaches 57?

Natural increase of Switzerland’s population has remained positive even in 40+ years of below replacement level fertility. Births have always exceeded deaths because life expectancy keeps rising. Number of births depend on structure of population.

What’s happening to fertility rates in New Zealand?

What data do you need to make good forecasts? Accurate register of births by biological birth order and age of mother (marital birth order is not helpful if many non- marital births and complex partnership histories) Accurate mid-year population counts of women by age (not necessarily easy with migration) Length of time since previous birth (spacing) If vital statistics cannot provide good fertility data, then surveys can help, eg. FFS, GGS, panel surveys…

Questions we have explored Does the Total Fertility Rate say how many children women have? Not exactly, because of effect of timing Which European country had the lowest TFR in recent years and when? 1.12 in Czech Republic, 1997 If fertility is below replacement level for decades, will the population shrink? Not necessarily, depends on mortality & migration What has been the big change in fertility behaviour in recent years? Big increase in later childbearing What statistics are needed to make accurate fertility forecasts? Births by biological birth order, population numbers, spacing

Thank you!