Income and fertility

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File:TFR vs PPP 2015.png vs. GDP (PPP) per capita of the corresponding country, 2015{{cite web|url=https://www.cia.gov/library/publications/the-world-factbook/fields/2127.html|title=Field Listing: Total Fertility Rate|website=The World Factbook|access-date=2016-04-24|archive-date=2013-08-11|archive-url=https://web.archive.org/web/20130811191145/https://www.cia.gov/library/publications/the-world-factbook/fields/2127.html|url-status=dead}}{{cite web|url=https://www.cia.gov/library/publications/resources/the-world-factbook/rankorder/2004rank.html|archive-url=https://web.archive.org/web/20150427163053/https://www.cia.gov/library/publications/resources/the-world-factbook/rankorder/2004rank.html|url-status=dead|archive-date=April 27, 2015|title=Country Comparison: GDP – Per Capita (PPP)|website=The World Factbook|access-date=2016-04-24}}]]

Income and fertility is the association between monetary gain on one hand, and the tendency to produce offspring on the other. There is generally an inverse correlation between income and the total fertility rate within and between nations.{{Cite journal |last=Wrong |first=Dennis H. |date=1958 |title=Trends in Class Fertility in Western Nations |url=http://dx.doi.org/10.2307/138769 |journal=Canadian Journal of Economics and Political Science |volume=24 |issue=2 |pages=216–229 |doi=10.2307/138769 |jstor=138769 |issn=0315-4890 |access-date=2023-05-28 |archive-date=2024-01-24 |archive-url=https://web.archive.org/web/20240124093909/https://www.cambridge.org/core/journals/canadian-journal-of-economics-and-political-science-revue-canadienne-de-economiques-et-science-politique/article/abs/trends-in-class-fertility-in-western-nations/427609F2FDF8E9FA766B3A7BDAE4CCC6 |url-status=live }}{{Cite journal |last=Simon |first=Julian L. |date=1969 |title=The effect of income on fertility |url=http://dx.doi.org/10.1080/00324728.1969.10405289 |journal=Population Studies |volume=23 |issue=3 |pages=327–341 |doi=10.1080/00324728.1969.10405289 |pmid=22073952 |issn=0032-4728 |access-date=2023-05-28 |archive-date=2024-01-24 |archive-url=https://web.archive.org/web/20240124094023/https://www.tandfonline.com/doi/abs/10.1080/00324728.1969.10405289 |url-status=live }} The higher the degree of education and GDP per capita of a human population, subpopulation or social stratum, the fewer children are born in any developed country.{{Cite web|url=https://www.stlouisfed.org/on-the-economy/2016/december/link-fertility-income|title=The Link between Fertility and Income|last=Vandenbroucke|first=Guillaume|date=December 13, 2016|website=Federal Reserve Bank of St Louis (USA)|access-date=November 30, 2017|archive-date=April 15, 2023|archive-url=https://web.archive.org/web/20230415014202/https://www.stlouisfed.org/on-the-economy/2016/december/link-fertility-income|url-status=live}} In a 1974 United Nations population conference in Bucharest, Karan Singh, a former minister of population in India, illustrated this trend by stating "Development is the best contraceptive."{{cite book |first=David N. |last=Weil |title=Economic Growth |publisher=Addison-Wesley |year=2004 |page=111 |isbn=978-0-201-68026-3}} In 2015, this thesis was supported by Vogl, T.S., who concluded that increasing the cumulative educational attainment of a generation of parents was by far the most important predictor of the inverse correlation between income and fertility based on a sample of 48 developing countries.{{Cite journal |last=Vogl |first=Tom S. |date=2015-07-20 |title=Differential Fertility, Human Capital, and Development |url=http://dx.doi.org/10.1093/restud/rdv026 |journal=The Review of Economic Studies |volume=83 |issue=1 |pages=365–401 |doi=10.1093/restud/rdv026 |issn=0034-6527 |access-date=2023-05-28 |archive-date=2024-01-24 |archive-url=https://web.archive.org/web/20240124093908/https://academic.oup.com/restud/article-abstract/83/1/365/2461161?redirectedFrom=fulltext |url-status=live }}

Generally a developed country has a lower fertility rate while a less economically developed country has a higher fertility rate. For example the total fertility rate for Japan, a developed country with per capita GDP of US$32,600 in 2009, was 1.22 children born per woman. But total fertility rate in Ethiopia, with a per capita GDP of $900 in 2009, was 6.17 children born per woman.{{Cite journal |date=July 2005 |title=Ethiopia |url=http://siteresources.worldbank.org/INTAFRICA/Resources/no_81.pdf |journal=A Country Status Report on Health and Poverty (In Two Volumes) the World Bank Group Africa Region Human Development & Ministry of Health, Ethiopia |volume=II: Main Report |access-date=2018-04-12 |archive-date=2022-12-17 |archive-url=https://web.archive.org/web/20221217091341/http://siteresources.worldbank.org/INTAFRICA/Resources/no_81.pdf |url-status=live }}

Demographic–economic paradox

Herwig Birg has called the inverse relationship between income and fertility a "demo-economic paradox". Evolutionary biology predicts that more successful individuals (and by analogy countries) should seek to develop optimum conditions for their life and reproduction. However, in the last half of the 20th century it has become clear that the economic success of developed countries is being counterbalanced by a demographic failure, a sub-replacement fertility that may prove destructive for their future economies and societies.{{Cite web|last=Birg|first=Herwig|date=October 18, 2000|title=Demographic Ageing and Population Decline in 21st Century Germany – Consequences for the Systems of Social Insurance|url=https://www.un.org/en/development/desa/population/events/pdf/expert/2/birg.pdf|website=United Nations Dept of Social and Economic Affairs.|access-date=June 24, 2020|archive-date=April 21, 2022|archive-url=https://web.archive.org/web/20220421045419/https://www.un.org/en/development/desa/population/events/pdf/expert/2/birg.pdf|url-status=live}}

Consequences

{{Main|Sub-replacement fertility|Dependency ratio|Pensions crisis}}

File:Demographic-TransitionOWID.png]]

Across countries there is a strong negative correlation between gross domestic product and fertility, and ultimately it is proven that a strong negative correlation exists between household income and fertility.{{cn|date=May 2024}}

A reduction in fertility can lead to an aging population, which can lead to a variety of problems. See for example the demographics of Japan.

Some scholars have observed a dramatic increase in the proportion of young adults living with their parents in Mediterranean Europe.{{Cite journal |last=Giuliano |first=Paola |date=2007-09-01 |title=Living Arrangements in Western Europe: Does Cultural Origin Matter? |url=http://dx.doi.org/10.1162/jeea.2007.5.5.927 |journal=Journal of the European Economic Association |volume=5 |issue=5 |pages=927–952 |doi=10.1162/jeea.2007.5.5.927 |issn=1542-4766 |access-date=2023-05-28 |archive-date=2024-01-24 |archive-url=https://web.archive.org/web/20240124093912/https://academic.oup.com/jeea/article/5/5/927/2295746 |url-status=live }} This is a worrisome trend, since this shift in the timing of adulthood could seriously affect the labor supply of young people, overall fertility rates, and European pay-as-you-go pension systems. This fact indicates that declining fertility rates in advanced economies may tend to be self-reinforcing and further exacerbate the situation.

A related concern is that high birth rates tend to place a greater burden of child rearing and education on populations already struggling with poverty. Consequently, inequality lowers average education and hampers economic growth.{{cite journal | last1 = de la Croix | first1 = David | last2 = Doepcke | first2 = Matthias | year = 2003 | title = Inequality and growth: why differential fertility matters | url = http://www.econ.ucla.edu/workingpapers/wp803.pdf | journal = American Economic Review | volume = 4 | pages = 1091–1113 | access-date = 2006-12-18 | archive-date = 2022-06-24 | archive-url = https://web.archive.org/web/20220624190922/http://www.econ.ucla.edu/workingpapers/wp803.pdf | url-status = live }} Also, in countries with a high burden of this kind, a reduction in fertility can hamper economic growth as well as the other way around.UNFPA: Population and poverty. Achieving equity, equality and sustainability. Population and development series no. 8, 2003.[http://www.unfpa.org/upload/lib_pub_file/191_filename_PDS08.pdf] {{Webarchive|url=https://web.archive.org/web/20130421014003/http://www.unfpa.org/upload/lib_pub_file/191_filename_PDS08.pdf|date=2013-04-21}} Richer countries have a lower fertility rate than poorer ones, and high income families have fewer kids than low-income ones.{{Cite journal |journal=Journal of Biosocial Science |volume=45 |issue=2 |pages=239–48|doi=10.1017/S002193201200065X|pmid=23069479|title=Marital Fertility and Income: Moderating Effects of the Church of Jesus Christ of Latter-Day Saints Religion in Utah |year=2013 |last1=Stanford |first1=Joseph B. |last2=Smith |first2=KEN R. |s2cid=5859087 }}

Contrary findings

Every country could differ in their respective relationship between income and fertility. Some countries show that income and fertility are directly related but other countries show a directly inverse relationship.{{cite journal |last1=Hutzler |first1=S. |last2=Sommer |first2=C. |last3=Richmond |first3=P. |year=2016 |title=On the relationship between income, fertility rates and the state of democracy in society |url=http://www.tara.tcd.ie/bitstream/2262/76097/1/physica2016_proofs.pdf |journal=Physica A: Statistical Mechanics and Its Applications |volume=452 |pages=9–18 |bibcode=2016PhyA..452....9H |doi=10.1016/j.physa.2016.02.011 |hdl-access=free |hdl=2262/76097 |access-date=2019-09-18 |archive-date=2022-12-17 |archive-url=https://web.archive.org/web/20221217091342/http://www.tara.tcd.ie/bitstream/2262/76097/1/physica2016_proofs.pdf |url-status=live }}

A United Nations report in 2002 came to the conclusion that sharp declines in fertility rates in India, Nigeria, and Mexico occurred despite low levels of economic development.{{cite web|author=Maria E. Cosio-Zavala|url=https://www.un.org/esa/population/publications/completingfertility/RevisedCosio-Zavalapaper.PDF|title=Examining Changes in the Status of Women And Gender as Predictors Of Fertility Change Issues in Intermediate-Fertility Countries
Part of: Completing the Fertility Transition.|publisher=United Nations, Department of Economic and Social Affairs Population Division|year=2002|access-date=2017-06-28|archive-date=2022-08-10|archive-url=https://web.archive.org/web/20220810150022/https://un.org/esa/population/publications/completingfertility/RevisedCosio-Zavalapaper.PDF|url-status=live}}

Vogl, T.S. provided the evidence that associations between income and fertility or between sibship size and education, that used to be positive in developing countries in the 20th century, recently became negative: first in Latin America, then in Asia, and finally in Africa. This is mainly explained by increased education levels.{{cn|date=May 2024}}

Fertility declines have been seen during economic recessions. This phenomenon is seen as a result of pregnancy postponement, especially of first births. But this effect can be short-term and largely compensated for during later times of economic prosperity.

Increased unemployment is generally associated with lower fertility. Nonetheless, in the years after the revolutions of 1989 in Russia, people who were more affected by labour market crises seemed to have a higher probability of having another child than those who were less affected.{{cite journal |author1=Kohler H.P. |author2=Kohler, I. |year=2002 |title=Fertility Decline in Russia in the Early and Mid 1990s: The Role of Economic Uncertainty and Labour Market Crises |url=http://www.demogr.mpg.de/publications/files/942_1032166505_1_pdf%20version.pdf |journal=European Journal of Population |volume=18 |issue=3 |pages=233–262 |doi=10.1023/A:1019701812709 |s2cid=55571696 |access-date=2016-02-20 |archive-date=2022-06-30 |archive-url=https://web.archive.org/web/20220630212114/https://www.demogr.mpg.de/publications/files/942_1032166505_1_pdf%20version.pdf |url-status=live }} A study in France came to the result that employment instability has a strong and persistent negative effect on the final number of children for both men and women and contributes to fertility postponement for men. It also came to the result that employment instability has a negative influence on fertility among those with more egalitarian views about the division of labor but still a positive influence for women with more traditional views.{{cite journal|title=Unstable work histories and fertility in France: An adaptation of sequence complexity measures to employment trajectories|author=Daniel Ciganda|journal=Demographic Research|year=2015|url=http://www.ggp-i.org/form/publications/1056/|access-date=2016-02-05|archive-date=2023-03-21|archive-url=https://web.archive.org/web/20230321034913/http://www.ggp-i.org/form/publications/1056/|url-status=live}} This can be explained by the fact that countries with more traditional views of women's roles generally tend to have lower female labor force participation and higher fertility rates.{{Citation |last=Fernández |first=Raquel |title=Does Culture Matter? |date=2011 |url=http://dx.doi.org/10.1016/b978-0-444-53187-2.00011-5 |series=Handbook of Social Economics |volume=1 |pages=481–510 |access-date=2023-05-28 |publisher=Elsevier |doi=10.1016/b978-0-444-53187-2.00011-5 |isbn=9780444537133 |s2cid=13955057 |archive-date=2024-01-24 |archive-url=https://web.archive.org/web/20240124094021/https://www.sciencedirect.com/science/article/abs/pii/B9780444531872000115?via%3Dihub |url-status=live }}

Another possible factor of lower fertility rates is culture. Numerous studies show that culture and ethnicity play a quantitatively significant role in explaining variation in women's work and fertility outcomes.{{Cite journal |last=Antecol |first=Heather |date=2000 |title=An examination of cross-country differences in the gender gap in labor force participation rates |url=http://dx.doi.org/10.1016/s0927-5371(00)00007-5 |journal=Labour Economics |volume=7 |issue=4 |pages=409–426 |doi=10.1016/s0927-5371(00)00007-5 |issn=0927-5371 |access-date=2023-05-28 |archive-date=2024-01-24 |archive-url=https://web.archive.org/web/20240124094512/https://www.sciencedirect.com/science/article/abs/pii/S0927537100000075?via%3Dihub |url-status=live }}{{Cite journal |last1=Fernández |first1=Raquel |last2=Fogli |first2=Alessandra |date=2009-01-01 |title=Culture: An Empirical Investigation of Beliefs, Work, and Fertility |url=http://dx.doi.org/10.1257/mac.1.1.146 |journal=American Economic Journal: Macroeconomics |volume=1 |issue=1 |pages=146–177 |doi=10.1257/mac.1.1.146 |issn=1945-7707 |access-date=2023-05-28 |archive-date=2024-01-24 |archive-url=https://web.archive.org/web/20240124094414/https://www.aeaweb.org/articles?id=10.1257/mac.1.1.146 |url-status=live }}{{Cite journal |last=Fernandez |first=Raquel |date=2007 |title=Culture as Learning: The Evolution of Female Labor Force Participation over a Century |url=http://dx.doi.org/10.3386/w13373 |journal=CEPR Discussion Paper No. DP6451 |location=Cambridge, MA |doi=10.3386/w13373 |access-date=2023-05-28 |archive-date=2024-01-24 |archive-url=https://web.archive.org/web/20240124094412/https://www.nber.org/system/files/working_papers/w13373/w13373.pdf |url-status=live }}{{Cite journal |last1=Fernández |first1=Raquel |last2=Fogli |first2=Alessandra |date=2006-05-01 |title=Fertility: The Role of Culture and Family Experience |url=http://dx.doi.org/10.1162/jeea.2006.4.2-3.552 |journal=Journal of the European Economic Association |volume=4 |issue=2–3 |pages=552–561 |doi=10.1162/jeea.2006.4.2-3.552 |s2cid=2255680 |issn=1542-4766 |access-date=2023-05-28 |archive-date=2024-01-24 |archive-url=https://web.archive.org/web/20240124094523/https://academic.oup.com/jeea/article-abstract/4/2-3/552/2281463?redirectedFrom=fulltext |url-status=live }} Simultaneously, culture has a causal effect on economic development.{{Cite journal |last1=Hall |first1=Robert |last2=Jones |first2=Charles |date=1999 |title=Why Do Some Countries Produce So Much More Output per Worker than Others? |url=http://dx.doi.org/10.3386/w6564 |journal=Quarterly Journal of Economics |location=Cambridge, MA |doi=10.3386/w6564 |access-date=2023-05-28 |archive-date=2024-01-24 |archive-url=https://web.archive.org/web/20240124094519/https://www.nber.org/system/files/working_papers/w6564/w6564.pdf |url-status=live }}{{Cite journal |last1=Acemoglu |first1=Daron |last2=Johnson |first2=Simon |last3=Robinson |first3=James |date=2002 |title=The Rise of Europe: Atlantic Trade, Institutional Change and Economic Growth |url=http://dx.doi.org/10.3386/w9378 |journal=NBER Working Paper No. 9378 |location=Cambridge, MA |doi=10.3386/w9378 |access-date=2023-05-28 |archive-date=2024-01-24 |archive-url=https://web.archive.org/web/20240124094413/https://www.nber.org/system/files/working_papers/w9378/w9378.pdf |url-status=live }} Such cultural traits as having trust in other people, appreciating the virtue of having tolerance and respect for others in children, feeling in control of one's life, and appreciating obedience in one's own children appear to be favorable to economic development.{{Cite journal |last=Tabellini |first=Guido |date=2010 |title=Culture and Institutions: Economic Development in the Regions of Europe |url=http://dx.doi.org/10.1111/j.1542-4774.2010.tb00537.x |journal=Journal of the European Economic Association |volume=8 |issue=4 |pages=677–716 |doi=10.1111/j.1542-4774.2010.tb00537.x |s2cid=8126263 |issn=1542-4766 |access-date=2023-05-28 |archive-date=2024-01-24 |archive-url=https://web.archive.org/web/20240124094524/https://academic.oup.com/jeea/article/8/4/677/2295864 |url-status=live }} Thus, the relationship between income and fertility may be not direct, but determined by a common root – cultural characteristics.

Mass culture can also influence people's attitudes toward having large families. For instance, in Brazil, where soap operas depict small families, women living in areas covered by the largest soap opera producer have significantly lower fertility rates.{{Cite journal |last1=Ferrara |first1=Eliana La |last2=Chong |first2=Alberto |last3=Duryea |first3=Suzanne |date=2012-10-01 |title=Soap Operas and Fertility: Evidence from Brazil |url=http://dx.doi.org/10.1257/app.4.4.1 |journal=American Economic Journal: Applied Economics |volume=4 |issue=4 |pages=1–31 |doi=10.1257/app.4.4.1 |hdl=10419/51429 |issn=1945-7782 |access-date=2023-05-28 |archive-date=2024-01-24 |archive-url=https://web.archive.org/web/20240124094414/https://www.aeaweb.org/articles?id=10.1257/app.4.4.1 |url-status=live }} This effect is strongest among women of low socioeconomic status and in the central and late phases of fertility.

Two recent studies in the United States show, that in some circumstances, families whose income has increased will have more children.{{Cite news|url=https://ifstudies.org/blog/how-income-affects-fertility|title=How Income Affects Fertility|work=Institute for Family Studies|access-date=2018-03-28|language=en|archive-date=2023-03-26|archive-url=https://web.archive.org/web/20230326221244/http://ifstudies.org/blog/how-income-affects-fertility|url-status=live}} This may be explained by Fertility J-curve.

=Fertility J-curve=

File:J Curve.gif

Some scholars have recently questioned the assumption that economic development and fertility are correlated in a simple negative manner. A study published in Nature in 2009 found that when using the Human Development Index instead of the GDP as measure for economic development, fertility follows a J-shaped curve: with rising economic development, fertility rates indeed do drop at first but then begin to rise again as the level of social and economic development increases while still remaining below the replacement rate.{{cite news|title=The best of all possible worlds? A link between wealth and breeding|url=http://www.economist.com/node/14164483|newspaper=The Economist|date=August 6, 2009|access-date=August 25, 2014|archive-date=February 7, 2018|archive-url=https://web.archive.org/web/20180207010434/http://www.economist.com/node/14164483|url-status=live}}

In an article published in Nature, Myrskylä et al. pointed out that "unprecedented increases" in social and economic development in the 20th century had been accompanied by considerable declines in population growth rates and fertility. This negative association between human fertility and socio-economic development has been "one of the most solidly established and generally accepted empirical regularities in the social sciences".{{cite journal |doi=10.1038/nature08230 |pmid=19661915 |title=Advances in development reverse fertility declines |journal=Nature |volume=460 |issue=7256 |pages=741–3 |year=2009 |last1=Myrskylä |first1=Mikko |last2=Kohler |first2=Hans-Peter |last3=Billari |first3=Francesco C. |bibcode=2009Natur.460..741M |s2cid=4381880 }} The researchers used cross-sectional and longitudinal analyses to examine the relationship between total fertility rate (TFR) and the human development index (HDI).{{cn|date=May 2024}}

The main finding of the study was that, in highly developed countries with an HDI above 0.9, further development halts the declining fertility rates. This means that the previously negative development-fertility association is reversed; the graph becomes J-shaped. Myrskylä et al. contend that there has occurred "a fundamental change in the well-established negative relationship between fertility and development as the global population entered the twenty-first century".

Some researchers doubt J-shaped relationship fertility and socio-economic development (Luci and Thevenon, 2010;{{cite journal |author1=Luci, A |author2=Thvenon, O |year=2010 |title=Does economic development drive the fertility rebound in OECD countries? |journal=Paper Presented in the European Population Conference 2010 (EPC2010), Vienna, Austria, September 1–4, 2010 |url=http://epc2010.princeton.edu/download.aspx?submissionId=100201 |access-date=2016-02-06 |archive-date=2022-03-14 |archive-url=https://web.archive.org/web/20220314202257/http://epc2010.princeton.edu/download.aspx?submissionId=100201 |url-status=dead }} Furuoka, 2009). For example, Fumitaka Furuoka (2009) employed a piecewise regression analysis to examine the relationship between total fertility rate and human development index. However, he found no empirical evidence to support the proposition that advances in development are able to reverse declining fertility rates. More precisely, he found that in countries with a low human development index, higher levels of HDI tend to be associated with lower fertility rates. Likewise, in countries with a high human development index, higher levels of HDI are associated with lower fertility rates, although the relationship is weaker. Furuoka's findings support the "conventional wisdom" that higher development is consistently correlated with lower overall fertility.{{cite journal |last=Fumitaka Furuoka |year=2009 |title=Looking for a J-shaped development-fertility relationship: Do advances in development really reverse fertility declines? |journal=Economics Bulletin |volume=29 |pages=3067–3074 |url=http://ideas.repec.org/a/ebl/ecbull/eb-09-00739.html |access-date=2016-02-06 |archive-date=2021-02-24 |archive-url=https://web.archive.org/web/20210224235428/https://ideas.repec.org/a/ebl/ecbull/eb-09-00739.html |url-status=live }}

An update of Myrskylä et al.'s work has also found that declines in national fertility between 2010 and 2018 mean that there is now no long-term association between very high levels of development and sustained fertility rebounds.{{Cite journal |last=Gaddy |first=Hampton Gray |date=2021-01-20 |title=A decade of TFR declines suggests no relationship between development and sub-replacement fertility rebounds |url=https://www.demographic-research.org/volumes/vol44/5/ |journal=Demographic Research |language=en |volume=44 |pages=125–142 |doi=10.4054/DemRes.2021.44.5 |issn=1435-9871 |doi-access=free |access-date=2021-02-02 |archive-date=2022-12-31 |archive-url=https://web.archive.org/web/20221231234028/https://www.demographic-research.org/volumes/vol44/5/ |url-status=live }}

The Easterlin hypothesis

The "Easterlin hypothesis" (Easterlin 1961, 1969, 1973) states that the positive relationship between income and fertility is dependent on relative income.Richard A. Easterlin. 1961. “The American Baby Boom in Historical Perspective.” American Economic Review 51 (5): pp. 869–911.Richard A. Easterlin. 1975. Studies in Family Planning, 6 (3): pp. 54-63. It is considered the first viable and a still leading explanation for mid-twentieth century baby booms.Matthias Doepke, Moshe Hazan, and Yishay D. Maoz, 2015. "The Baby Boom and World War II: A Macroeconomic Analysis," Review of Economic Studies, vol. 82(3), pp. 1031-1073.Matthew J. Hill, Easterlin revisited: Relative income and the baby boom, Explorations in Economic History, Volume 56, April 2015, Pages 71-85.

The hypothesis as formulated by Richard Easterlin presumes that material aspirations are determined by experiences rooted in family background: he assumes first that young couples try to achieve a standard of living equal to or better than they had when they grew up. This is called "relative status". If income is high relative to aspirations and jobs are plentiful, it will be easier to marry young and have more children and still match that standard of living. But when jobs are scarce, couples who try to keep that standard of living will wait to get married and have fewer children. Children are normal goods once this influence of family background is controlled. For Easterlin, the size of the cohort is a critical determinant of how easy it is to get a good job. A small cohort means less competition, a large cohort means more competition to worry about.{{Cite journal |last=Pampel |first=Fred C. |last2=Peters |first2=H. Elizabeth |date=1995 |title=The Easterlin Effect |url=https://www.jstor.org/stable/2083408 |journal=Annual Review of Sociology |volume=21 |pages=163–194 |issn=0360-0572}} The assumptions blend economics and sociology.Diane J. Macunovich. 1998. "Fertility and the Easterlin hypothesis: An assessment of the literature," Journal of Population Economics vol 11, pp.1–59.

Easterlin's hypothesis can also be used for further predictions of the fertility rate. Easterlin expected a new fertility boom beginning in the 1980s.Easterlin RA. 1979. What will 1984 be like? Socioeconomic implications of recent twists in age structure Demography, 15: 397-432. {{PMID|738471}} DOI: 10.2307/2061197

See also

References

{{reflist|2}}

Further reading

  • {{Cite magazine |last=Macleod |first=Mairi |date=29 October 2013 |title=Population paradox: Why richer people have fewer kids |url=https://www.newscientist.com/article/mg22029401.000-population-paradox-why-richer-people-have-fewer-kids.html |magazine=New Scientist |issue=2940}}

{{Economic paradoxes}}

Category:Demographic economics

Category:Demographics

Category:Fertility