scholarly journals Testing the Relationship between Female Labour Force Participation and Fertility in Nigeria

Author(s):  
Oyeyemi Omodadepo Adebiyi ◽  
Temitayo Alice Onifade
2021 ◽  
Vol 15 (1) ◽  
pp. 149-173
Author(s):  
Indrajit Bairagya ◽  
Tulika Bhattacharya ◽  
Pragati Tiwari

The objective of the article is to assess the impact of formal and informal vocational training on female labour force participation in India, based on the Periodic Labour Force Survey data for 2017–2018, employing a trivariate probit model. Results show that participation both in formal and informal vocational training has a positive and statistically significant impact on female labour force participation across all specifications of the regression models, thus showing the robustness of the relationship. Most importantly, the provision of vocational training helps break the traditional U-shaped relationship between female labour force participation and educational levels. However, the fact that the percentage of formal vocational training holders is much lower than that of informal vocational training holders and that it varies among males and females, points to the need for special policy attention on the promotion of female participation in formal vocational training on a large scale. JEL Codes: J21, J24, J71


Author(s):  
Jacques Poot ◽  
Jacques J. Siegers

This paper reports the results of a New Zealand study of one aspect of household economics: the relationship between fertility behaviour and labour supply. Empirical research has shown that the presence of young children affects labour supply of the mother. New Zealand examples are Hyman (1979) and Harris and Raney (1991). However, Hockey and Khawaja (1984) found that a woman's labour force participation negatively affects fertility. In this paper we argue that fertility and labour force participation decisions are determined jointly rather than that there is a one-way causal relationship. We test this hypothesis by means of a simple regression model of fertility and female labour force participation using grouped data from 22 Local Government Regions (LGRs), pooled for the years 1976, 1981 and 1986. The next section discusses some of the theoretical issues. This is followed by a description of the data and a discussion of regression equations. After summing up the results, the last section provides some suggestions for further research.


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