A regional analysis of female labour force participation in Africa: application of seemingly unrelated regression

2022 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Omowumi Omodunni Idowu ◽  
Taiwo Owoeye
Keyword(s):  
Labour Force ◽  
Regional Analysis ◽  
Labour Force Participation ◽  
Seemingly Unrelated Regression ◽  
Female Labour Force Participation ◽  
Female Labour ◽  
Unrelated Regression

Female Labour Force Participation in African Countries: An Empirical Analysis

2019 ◽  
Vol 13 (3) ◽  
pp. 278-293 ◽  
Author(s):  
Omowumi O. Idowu ◽  
Taiwo Owoeye
Keyword(s):  
Growth Rate ◽  
Labour Force ◽  
Labour Force Participation ◽  
Seemingly Unrelated Regression ◽  
Gdp Per Capita ◽  
Female Labour Force Participation ◽  
African Countries ◽  
Female Labour ◽  
Labour Participation ◽  
Per Capita

This article investigates female labour force participation (FLFP) in a panel comprising 20 selected African countries across five sub-regional groupings, over the period 1990–2018. It analyses the determinants of demand and supply of FLFP, thereby contributing to the ongoing debate on the female labour participation in African countries. The study sources data from the World Bank Data Bank and uses seemingly unrelated regression as an estimation technique after confirming the stationarity of the time series properties of all variables and the static analysis of the models. The analysis suggests that the GDP growth rate and inequality are positive determinants of female labour demand, while wages, GDP per capita growth and poverty are negative determinants. It also shows evidence for an inverted U-shaped relationship between female labour supply and economic development in Africa, while education, fertility, GDP per capita growth, manufacturing growth rate and culture were contributing factors to this relationship. It is therefore suggested that policymakers in Africa should accelerate the process of formalising African economies to encourage an increase in female labour participation.

scholarly journals Fertility and socio-economic determinants: evidence from co-integration and multivariate Granger casualty tests

2016 ◽  
Vol 4 (1) ◽  
pp. 134
Author(s):  
Prakash Kengnal ◽  
Asha Bullappa
Keyword(s):  
Labour Force ◽  
National Income ◽  
Participation Rate ◽  
Labour Force Participation ◽  
Fertility Rate ◽  
Gross National Income ◽  
Female Labour Force Participation ◽  
Labour Force Participation Rate ◽  
Female Labour ◽  
Per Capita

Background: The empirical work on fertility determinants widely discusses the role of socio-economic factors like female labour force participation rate, urban population and per capita gross national income in determining fertility rates. The India’s high fertility rate began to decline gradually after late 1950s and continued to fall since then. India achieved almost 31 per cent decline in fertility rate from 1990 to 2012. The objective was to examine the relationship between fertility rate, urbanization, female labour force participation rate and per capita gross national income for India.Methods: This study covers the sample period from 1990-2012. Moreover, the direction of causality between fertility rate, urbanization, female labour force participation rate and per capita gross national income in India using Granger Causality test within the Vector Error-Correction Model (VECM) are examined.Results: As a summary of the empirical results, we found that fertility rate, urbanization, female labour force participation rate and per capita gross national income in India are co-integrated and there is unidirectional Granger Causality between the four variables in long and short-run.Conclusions: The growth in urban population, female labour force participation rate and per capita gross national income are responsible for the decrease in fertility rate in India.

Sign in / Sign up

Export Citation Format

Share Document