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Social Capital, Gender Competition, and the Resurgence of Childlessness

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Analyzing Contemporary Fertility

Abstract

As fertility in much of the developed world remains far below replacement level, it is appropriate to look closely at trends and patterns in childlessness. The rationale for doing so is reinforced by a multidimensional scaling analysis of 80 countries, which finds that contemporary fertility patterns are largely determined by two factors: the overall level and the proportion childless. Parity status life tables for 24 low fertility nations for periods since 2000 show that 15 of them have period parity progression rates implying that over 20% of women will never have any children. Commonly used figures on proportions at parity zero in cohorts completing their reproductive years have understated the level of childlessness inherent in recent data by ignoring the behavior of younger cohorts. Still, even those cohort data reveal an upward trend in childlessness. The likelihood of a resurgence in childlessness is bolstered by steady increases in the mean ages at first birth observed in all 24 study populations. Looking ahead, high proportions childless can be consistent with stable, egalitarian unions, as children now bring few resources to parents while making great demands upon them.

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Correspondence to Robert Schoen .

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Appendices

Appendices

1.1 Appendix A: Multidimensional Scaling

We began by collecting recent data on completed parity distributions for countries included either in the UNdata website (72 countries) or in the Human Fertility Database (8 countries: Canada, Japan, the Netherlands, Norway, Portugal, Sweden, Taiwan and the United States). A list of all countries and their abbreviations in Fig. 2.1 is given below. Although the countries represented in the UNdata website give data for varying numbers of parity categories, we were able to gather data for all 80 countries in our analysis for parities zero through parity 5 and above. From these data we constructed five parity progression ratios for each of the 80 countries.

We analyzed the 80 by 5 matrix of parity progression ratios using Stata’s mds command (see https://www.stata.com/manuals13/mvmds.pdf), and began by calculating standardized Euclidean distances between the set of parity progression ratios for each pair of countries. The mds command then carried out a principal coordinates analysis (“classical metric scaling”) of the 3160 Euclidean distances calculated in the first step. Plotting the eigenvalues associated with the five dimensions produced by this analysis showed that there was little decline after the third dimension, suggesting that a two dimensional representation of the distances is appropriate (Davison 1983, p. 69). Figure 2.1 presents the 80 countries’ positions on the first two dimensions yielded by our analysis.

Abbreviations for Countries in Fig. 2.1

Albania

Alb

Luxembourg

Lux

Australia

Aus

Macedonia

Mac

Austria

Aust

Malawi

Mala

Azerbaijan

Azer

Malta

Malt

Bahamas

Bah

Mauritius

Maur

Bahrain

Bahr

Mexico

Mex

Barbados

Barb

Moldova

Mol

Belarus

Bela

Montenegro

Mont

Bhutan

Bhu

Morocco

Mor

Bolivia

Bol

Mozambique

Moz

Botswana

Bots

Nepal

Nep

Brazil

Braz

Netherlands

Neth

Bulgaria

Bul

New Zealand

NZ

Burkina Faso

B-F

Norway

Nor

Burundi

Bur

Palestine

Pale

Canada

Can

Paraguay

Para

Chili

Chl

Peru

Peru

Columbia

Col

Philippines

Phil

Costa Rica

C-R

Poland

Pol

Croatia

Cro

Portugal

Por

Czechia

Cz

Romania

Rom

Dominican Rep.

D-R

Russian Federation

RFed

Ecuador

Ecu

Rwanda

Rwa

Estonia

Est

South Korea

SKor

Finland

Fin

Serbia

Serb

France

Fr

Slovakia

Slvk

Georgia

Geo

Slovenia

Slvn

Ghana

Gha

Spain

Sp

Greece

Gr

Sri Lanka

SL

Hungary

Hun

Suriname

Suri

India

In

Sweden

Swe

Indonesia

Indo

Taiwan

Tai

Ireland

Ire

Tajikistan

Taj

Israel

Is

Thailand

Thai

Jamaica

Jam

Trinidad & Tobago

T&T

Japan

Jpn

Turkey

Tur

Kyrgyzstan

Kyr

Ukraine

Ukr

Latvia

Lat

Uruguay

Urug

Lesotho

Les

United States

US

Lithuania

Lit

Venezuela

Ven

1.2 Appendix B: Fertility Data

TFR values in Table 2.1 are based on yearly TFRs reported in the Human Fertility Database (HFD). We report the mean of the period TFR values for each group of years shown. Similarly, PSLT P0 values in Table 2.1 are means of proportions of women age 49 at parity zero for each group of years reported in the HFD period fertility life tables. Values for mean age at first birth are also means of annual values for each group of years reported for each country in the “table mean ages at birth” section of the HFD period fertility tables.

We estimated the cohort childlessness proportions in Table 2.1 using HFD data on exposure by year, age and parity. For each country and group of years, we summed the exposure values for ages 45 through 49 and divided that sum by the sum of the exposure values for all parities for those ages. In a few cases exposure values were not available for all five ages. In these cases we averaged the ages reported by the HFD.

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Schoen, R., Hargens, L. (2020). Social Capital, Gender Competition, and the Resurgence of Childlessness. In: Schoen, R. (eds) Analyzing Contemporary Fertility. The Springer Series on Demographic Methods and Population Analysis, vol 51. Springer, Cham. https://doi.org/10.1007/978-3-030-48519-1_2

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  • DOI: https://doi.org/10.1007/978-3-030-48519-1_2

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