<abstract xmlns="http://www.w3.org/1999/xhtml"><p>This study investigates the demand drivers of female labor participation in a panel of twenty (20) selected African countries across five sub-regional groupings (West Africa, East Africa, North Africa, Central Africa and South Africa), over the period 1990-2015. The study sourced data from World Bank Data Bank. Poverty and gender inequality in employment were used and measured respectively by life expectancy at birth and gender ratio in labor participation. Other variables included are wage rates, female marginal labor productivity and household income. Autoregressive Distributive Lags (ARDL) procedure of dynamic panel model was used. The result from the Dynamic Fixed Effect (DFE) revealed that female marginal productivity of labor and gender inequality in employment have a significant positive impact on demand for female labor in the long run, however female marginal productivity was found negative in the short run. It is therefore important that, in order to bridge the gender gap in employment, government should ensure gender sensitive policies and remove all forms of institutional barriers to female labor demand. Efforts should also be made to improve female productivity through training, literacy and household food security. In order for female demand to meet desired response, adequate support services and provisions that can entice female to work outside home should be provided.</p></abstract>

This study investigates the demand drivers of female labor participation in a panel of twenty (20) selected African countries across five sub-regional groupings (West Africa, East Africa, North Africa, Central Africa and South Africa), over the period 1990-2015. The study sourced data from World Bank Data Bank. Poverty and gender inequality in employment were used and measured respectively by life expectancy at birth and gender ratio in labor participation. Other variables included are wage rates, female marginal labor productivity and household income. Autoregressive Distributive Lags (ARDL) procedure of dynamic panel model was used. The result from the Dynamic Fixed Effect (DFE) revealed that female marginal productivity of labor and gender inequality in employment have a significant positive impact on demand for female labor in the long run, however female marginal productivity was found negative in the short run. It is therefore important that, in order to bridge the gender gap in employment, government should ensure gender sensitive policies and remove all forms of institutional barriers to female labor demand. Efforts should also be made to improve female productivity through training, literacy and household food security. In order for female demand to meet desired response, adequate support services and provisions that can entice female to work outside home should be provided.

Demand Drivers of Female Labor Force Participation: Evidence From Selected African Countries

ECONOMICS

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

This study investigates the demand drivers of female labor participation in a panel of twenty (20) selected African countries across five sub-regional...

Demand Drivers of Female Labor Force Participation: Evidence From Selected African Countries

Publié en ligne: 04 juil. 2019

Pages: 81 - 94

Reçu: 04 avr. 2019

Accepté: 16 avr. 2019

DOI: https://doi.org/10.2478/eoik-2019-0007

Mots clés
Labor, Demand, Female Labor, Participation

© 2019 Omowumi O. Idowu, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Demand Drivers of Female Labor Force Participation: Evidence From Selected African Countries

Publié en ligne: 04 juil. 2019

Pages: 81 - 94

Reçu: 04 avr. 2019

Accepté: 16 avr. 2019

DOI: https://doi.org/10.2478/eoik-2019-0007

Mots clésLabor, Demand, Female Labor, Participation

© 2019 Omowumi O. Idowu, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Mots clés
Labor, Demand, Female Labor, Participation