Investigation of the effect of women’s employment indicators on women’s health indicators by panel data analysis method

2024

Closed access Metadata (CSL-JSON)
DOI 10.1080/07399332.2024.2396008
Data confidence 70 medium
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

With the increase in the education level of women, their level of representation in the professional professions and their presence in business life has increased. It has been inevitable that this situation would affect the socio-economic structure of societies and the health indicators of employed women. The aim of this study is to examine the effect of women's employment indicators on women's health indicators using the panel data analysis method. Two different econometric models were developed in the study. Model-1 predicts that a possible 1% increase in the female unemployment rate would result in a 0.06% decrease in the fertility rate. Model-2 estimates that a possible 1% increase in the female unemployment rate would lead to a 0.04% decrease in female-specific average life expectancy. Also, it is predicted that a possible increase of 1% in the total labor force participation rate of women can provide an increase of 0.04% in the average life expectancy of women. The results of the study indicate that the presence of women in the workforce directly impacts women's health indicators, particularly socio-economic indicators. Thus, there is a need to develop employment policies based on women's health in the employability of women.