This study examines the relationship between the nation’s total fertility rate (TFR) and business startups, using panel data of OECD countries. We utilized both the fixed effects model, which is widely used for panel analysis, and the dynamic panel ...
This study examines the relationship between the nation’s total fertility rate (TFR) and business startups, using panel data of OECD countries. We utilized both the fixed effects model, which is widely used for panel analysis, and the dynamic panel model (DPM), which has been employed in recent studies on low fertility.
Regardless of the analysis model, we found that startups have a significantly positive relationship with the total fertility rate and the positive correlation between start-ups and the fertility rate can be driven by increases in the number of children of married households rather than by increases in the marriage rate.
Lastly, we found that startup contributes to an increase in the fertility rate and the number of children per married household in developed countries, while business closure negatively affects the fertility rate and the number of children per married household in developing countries. As the first study to investigate the direct relationship between the fertility rate and startups, this research is expected to contribute to determining policies on national low-fertility and startup support.