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This paper's objective is to provide improvement plans that take into account problems in the housing sector, as well as low fertility and demographic problems caused by aging, by suggesting long‐term policy directions considering all future possible changes in fertility and housing policies.

This research analyzes age specific fertility rates by socioeconomic index, composition of three scenarios about the total fertility rate, the forecast of the future population by the cohort component method, and the forecast of housing demand according to the Mankiw‐Weil (M‐W) model.

If the fertility rate increases through improvements in socioeconomic conditions, then we see that housing demand also increases. If the fertility rate level is higher than that of scenario 3, then a housing demand decrease comes later. However, even if the low fertility rate issue is addressed, the problem with the housing market due to the aging is expected to continue for the time being.

If the population decrease cohort is accumulated due to the continuously low fertility, then it will cause an increase in the reduction effect of housing demand. Considering housing spaces, the elderly require a relatively large amount of available space in Korea where the aged population is rapidly increasing. This increase in seniors could counterbalance the reduced demand for housing.

This is a long‐term‐oriented paper about housing demand and the changing trends in Korea, which is undergoing demographic changes due to low fertility and ongoing aging. We need to monitor fertility rates and the structure of population changes to achieve a stable housing market, and we should also recognize that these structural changes by age will have diverse ripple effects on housing demand.

In order to understand the impact of economy‐wide socio‐economic forces on fertility, examines economies which are homogeneous with respect to political, cultural and historical character, which also contain subsectors characterized by socioeconomic diversity. First looks at previous research on fertility and then uses Missouri as a representative example of such an economy.

This chapter introduces demographic variables in empirical regression to help find whether demographic changes have an impact on economic growth. There is evidence from estimated values in this chapter to suggest that there is no impact that demographic changes in Hong Kong is affecting the economic growth. The population growth has purely a transition impact where the fertility rate was low in early 2000 up to 2015 as the size of the dependency ratio increases. Besides testing demographic variables the government emphasises better education for all people of ages for prosperous growth but in fact has a negative response on educational investment on the growth of the economy. A well-educated country individual does not suggest a higher productivity in economy growth. An important implication is that there has been no single variable as yet that has seriously impacted the economy growth, but there will be changes in the coming years and has to be attended in result to avoid a diminishing economy.

This paper aims to examine certain factors that have contributed to the decline in fertility in the countries of the Gulf Cooperation Council (GCC) in recent years, taking the United Arab Emirates (UAE) as a case study.

Using data from the 2008 UAE Household Expenditure Survey, this paper analyzes the determinants of fertility using a Poisson fertility count model.

The results show that economic factors, in terms of the costs and benefits that families derive from children in the UAE, are not important determinants of fertility due to the large size of social insurance provided by the UAE Government. Moreover, labor market participation by either males or females does not play a critical role in determining fertility in the UAE. The two primary causes of decline in fertility are: late marriages or late first births; and higher levels of female education. Other contributors to drops in fertility are marriages between UAE national males and foreign females and increases in childbirth intervals. Conversely, the size of household residences and the number of domestic workers working in a households contribute positively to fertility.

Little attention has been paid in the literature to explain the fast drop in fertility in the GCC countries. This may be due to the limited availability of data for this region. This paper, to the authors’ knowledge, is the first to shed some light on the effects of many socioeconomic factors on fertility in the GCC.

The purpose of this paper is to present a theoretical model, which is aggregated across individuals to analyse the labour force participation rate, and empirical results to provide evidence of a U-shaped relationship between women’s labour force participation and economic development.

The U-shaped relationship is investigated by employing a panel data approach of 40 countries around the world over the period 1960–2005. It is investigated whether the labour force behaviour of women in different age groups can be lumped together by considering ten different age groups.

The paper finds evidence in favour of the U-shaped relationship. For every age group and explanatory variable in the model, a particular point is found where the regime of falling participation rates changes into a regime of rising participation rates.

To evaluate this relationship, microeconomic analysis with primary data can also provide significant insights.

Every country can narrow the gap between the labour participation rates of men and women in the long term. Fertility decline, shifts of employment to services, part-time work, increased opportunities in education, and the capital-to-labour ratio as a measure for economic development are the key determinants.

In addition to the U-shaped relationship, considerable research has been carried out on demographic transition. This paper brings these two strands of literature together, by econometrically investigating the impact of demographic transition on female labour force participation given its U-shaped relation with economic development, i.e., turning points for different explanatory variables are calculated and their implications for economic growth are discussed.

The last reformation in Iran’s population policy was announced inside “General Population Policy” (GPP) in 2013. One of the main objectives of the GPP is controlling population aging. The aim was to designing and evaluating different scenarios for achieving this objective.

For this purpose, a system dynamics model was built from cohort age groups. The model simulated Iran’s population structure from 2000 to 2050. The system dynamics model was validated in 2000 till 2011 period (R² = 94%). Data were extracted from the United Nations population division repository and represent a reducing trend in the fertility rate of Iran. This situation was named the “base” scenario. The simulation results for this scenario showed that Iran will face aging such that between 2000 and 2050 the median age will increase from 25 to 43 years. Based on these results, the base scenario could not achieve the GPP objective. So three alternative scenarios were designated: stabilization, increasing and hyper increasing.

The median age and the aging index are descending only in the hyper increasing scenario which means controlling aging. Therefore, the hyper increasing scenario is the only way to realize the GPP’s objective. To realize the hyper increasing scenario, it is essential to consider the total dependency ratio which shows the level of pressure on the workforce. Reducing this pressure increases the propensity to have more children (fertility index) and this is essential for maintaining high fertility rate.

The value of the research rests on a precise simulation model to forecast the population structure and aging. The research will serve as a guide for Iranian policymaker and support strong recommendations to bring the GPP along with supporting policies such as childbearing and child care assistance.

The US fertility transition in the nineteenth century is unusual. Not only did it start from a very high fertility level and very early in the nation’s development, but it also took place long before the nation’s mortality transition, industrialization, and urbanization. This paper assembles new county-level, household-level, and individual-level data, including new complete-count IPUMS microdata databases of the 1830–1880 censuses, to evaluate different theories for the nineteenth-century American fertility transition. We construct cross-sectional models of net fertility for currently-married white couples in census years 1830–1880 and test the results with a subset of couples linked between the 1850–1860, 1860–1870, and 1870–1880 censuses. We find evidence of marital fertility control consistent with hypotheses as early as 1830. The results indicate support for several different but complementary theories of the early US fertility decline, including the land availability, conventional structuralist, ideational, child demand/quality-quantity tradeoff, and life cycle savings theories.