scholarly journals The rise in women’s labour force participation in Mexico: Supply vs demand factors

2021 ◽  
Author(s):  
Sonia Bhalotra ◽  
Manuel Fernández
Keyword(s):  
Labour Supply ◽  
Labour Force ◽  
Supply And Demand ◽  
Labour Force Participation ◽  
Decomposition Methods ◽  
Relative Importance ◽  
Female Labour Force Participation ◽  
Female Labour ◽  
And Shifts ◽  
Unexplained Variation

We estimate the relative importance of alternative labour supply and demand mechanisms in explaining the rise of female labour force participation over the last 55 years in Mexico. The growth of female labour force participation in Mexico between 1960 and 2015 followed an S-shape, with a considerable acceleration during the 1990s. Using decomposition methods and a shift-share design, we show that, put together, supply and demand factors can account for the rise of female labour force participation over the period, led by increases in women’s education and shifts in the occupational structure of the workforce. However, there is unexplained variation in the 1990s, when female labour force participation spiked.

scholarly journals Societal Change and the Economics of Fertility and Female Labour Force Participation

1970 ◽  
Author(s):  
Jacques Poot ◽  
Jacques J. Siegers
Keyword(s):  
New Zealand ◽  
Labour Supply ◽  
Labour Force ◽  
Labour Force Participation ◽  
Regression Equations ◽  
Female Labour Force Participation ◽  
Female Labour ◽  
Simple Regression Model ◽  
The Relationship ◽  
Theoretical Issues

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.

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.

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