An Analysis of the Influencing Factors of the Birth Rate in the USA
DOI:
https://doi.org/10.54097/d3qtc753Keywords:
Birth rate; United State; GDP per capita.Abstract
This research aims to use a rigorous quantitative methodology in the form of regression analysis to explore the complex terrain of birth rate drivers in the United States. The primary data source for this study is the National Vital Statistics System (NVSS). It provides extensive and current data on natality and births in the United States from 2000 to 2020 and is processed by SPSS. After accounting for other characteristics, the study indicated that higher GDP per capita and higher urban population significantly negatively affect the birth rate in the United States. This study stresses the significance of considering the impact of money and urbanization on fertility behavior and preferences when designing interventions to help families and children.
Downloads
References
Ahmad, F. B., Anderson, R. N., Knight, K., Rossen, L. M., & Sutton, P. D. (2021). Advancements in the National Vital Statistics System to meet the real-time data needs of a pandemic. American Journal of Public Health, 111(12), 2133-2140.
Alola, A. A., Bekun, F. V., & Sarkodie, S. A. (2019). Dynamic impact of trade policy, economic growth, fertility rate, renewable and non-renewable energy consumption on ecological footprint in Europe. Science of the Total Environment, 685, 702-709.
Balu, R., & Ehrlich, S. B. (2018). Making sense out of incentives: A framework for considering the design, use, and implementation of incentives to improve attendance. Journal of Education for Students Placed at Risk (JESPAR), 23(1-2), 93-106.
Cruz, M., & Ahmed, S. A. (2018). On the impact of demographic change on economic growth and poverty. World development, 105, 95-106.
Hank, K., & Steinbach, A. (2019). Families and Their Institutional Contexts: the Role of Family Policies and Legal Regulations. Kölner Zeitschrift für Soziologie & Sozialpsychologie, 71.
Hörnle, J., & Carran, M. A. (2018). A sieve that does hold a little water–gambling advertising and protection of the vulnerable in the UK. Legal Studies, 38(4), 529-548.
Lembani, R., Gunter, A., Breines, M., & Dalu, M. T. B. (2020). The same course, different access: the digital divide between urban and rural distance education students in South Africa. Journal of Geography in Higher Education, 44(1), 70-84.
Madsen, J. B., Moslehi, S., & Wang, C. (2018). What has driven the great fertility decline in developing countries since 1960? The Journal of Development Studies, 54(4), 738-757.
Pustejovsky, J. E., & Tipton, E. (2022). Meta-analysis with robust variance estimation: Expanding the range of working models. Prevention Science, 23(3), 425-438.
Qian, Y., & Jin, Y. (2018). Women’s fertility autonomy in urban China: The role of couple dynamics under the universal two-child policy. Chinese Sociological Review, 50(3), 275-309.
Smith, R., Alkozei, A., Killgore, W. D., & Lane, R. D. (2018). Nested positive feedback loops in the maintenance of major depression: An integration and extension of previous models. Brain, Behavior, and Immunity, 67, 374-397.
Sotardi, V. A., & Watson, P. W. S. J. (2019). A sample validation of the Adolescent Stress Questionnaire (ASQ) in New Zealand. Stress and Health, 35(1), 3-14.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Highlights in Science, Engineering and Technology

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.







