A Dynamic Model of Female Labor Force Participation Rate and Human Capital Investment

2012 ◽  
Author(s):  
Radek S. Szulga
2017 ◽  
Vol 4 (2) ◽  
pp. 217 ◽  
Author(s):  
Adnan Khaliq ◽  
Dilawar Khan ◽  
Sultan Akbar ◽  
Muhammad Hamayun ◽  
Barkat Ullah

Female labor force plays a significant role in the economic development of a country. The core objective of this paper is to examine the nexus between female labor force participation rate and Pakistan’s economic growth using time series data for the period 1990-2014. The data was extracted from World Development Indicators database. Augmented-Dickey Fuller (ADF) test was applied to examine the data for unit root. The results show that both the variables--- female labor force participation rate and economic growth---are stationary at first difference i.e. I(1). The error correction model (ECM) and Johansen co-integration tests were used to examine the co-integration relation between the variables. The econometric results conclude that there is long-run and a U-shaped link between economic growth and women labor force participation rate of Pakistan. The results conclude that lower female labor force participation rate leads to lower economic growth in Pakistan. This paper has important policy implications, suggests that policies intend to remove such barriers could help to enhance the Pakistan’s economic growth.


Author(s):  
Elisabeta Jaba ◽  
Christiana Sandu ◽  
Aurelian Plopeanu ◽  
Ioan Robu ◽  
Marinela Istrate

In this paper we analyze the characteristics of labor markets and female labor force in the countries from Central and Eastern Europe in order to verify the existence of significant differences in female labor participation rate among the countries that experienced the same political and economic system before 1990. The paper seeks to address the following specific objectives: 1) to identify the variables which are strongly correlated with female labor force participation, objective met using correlation analysis; 2) to define clusters of countries based on the determinants of female participation on the labor market, identified previously, using hierarchical cluster method; 3) to verify if the female labor force participation rate differs significantly among the identified clusters by applying the analysis of variance. The results of this study highlight that, in Central and Eastern Europe, we can identify four clusters of countries that share common characteristics of female labor market and female labor force. The analysis of the variation in female labor force participation rate emphasizes different patterns according to identified groups of countries.


2020 ◽  
Vol 20 (2) ◽  
Author(s):  
Mehtabul Azam ◽  
Luyi Han

AbstractAlthough, the male labor force participation rate is comparable in China and India, female labor force participation rate remains very low in India. In this paper, we examine the factors responsible for the difference in female labor force participation rate between the two countries by carrying out decomposition exercise at three points of time covering two decades. We find that the differences in female labor force participation rate are not explained by the differences in characteristics across the two countries in each of the three year studied. The differences in returns to these characteristics explain most of the differences in participation rate.


2017 ◽  
Vol 10 (1) ◽  
pp. 33-54 ◽  
Author(s):  
Buhari Doğan ◽  
Mürsel Akyüz

Abstract In this study, the effect of economic growth in Turkey on the labor force participation rate of women was examined in the context of the Kuznets (1955) curve in the context of the data for the quarter years of 2000Q1-2013Q4. The co-integration test of the series was performed with the ARDL boundary test approach. As a result of the cointegration test, we find that the series move together in the long run. Findings show that economic growth increases women’s labor force participation rate first but then it decreases women’s labor force participation rate. Findings indicate that there is a reverse “U” relationship between economic growth and female labor force participation. As a result of the short-term analysis, it is found that error correction coefficient of the model is negative and statistically significant.


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