scholarly journals THE ROLE OF SOCIO-ECONOMIC ASPECTS OF WOMEN ON INFANT MORTALITY: A PANEL DATA ANALYSES FOR OECD COUNTRIES

2017 ◽  
Vol 5 (3) ◽  
pp. 826-841
Author(s):  
Murat KÜRKCÜ ◽  
Orhan KANDEMİR
Keyword(s):  
Panel Data ◽  
Child Mortality ◽  
Gender Inequality ◽  
Labour Force ◽  
Panel Data Analysis ◽  
Participation Rate ◽  
Labour Force Participation ◽  
Mortality Rates ◽  
Oecd Countries ◽  
Labour Force Participation Rate

Social and economic development of a nation is often reflected by the existing infant and child mortality rates. In this context, one of the millennium development goals is to reduce infant and child mortalities globally. In particular, women’s socio-economic positions are important variables in explaining infant/child mortality. The correlation between infant/child mortalities and socio-economic positions of women is very strong. This study uses a panel data analysis to measure the effect of labour force participation rate of women on infant/child mortalities. The present article analyzes how women’s socio-economic situations affect infant/child mortality in OECD countries for the era 2000-2014. Our results are statistically significant and also suitable for theoretical expectations. According to our conclusions mortality rates may decline as a result of the increase in labour force participation rates of women. In this context, there is a negative relationship between the labor force participation rate of women and gender inequality. So, as gender inequality decreases, infant/child mortality rates also decrease.

scholarly journals THE EFFECT OF CONSUMPTION AND THE LABOUR FORCE PARTICIPATION RATE (LFPR) ON ECONOMIC GROWTH IN NORTH SUMATERA PROVINCE

2021 ◽  
Vol 9 (2) ◽  
Author(s):  
Indra Maipita
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Confidence Level ◽  
Fiscal Decentralization ◽  
Regression Coefficient ◽  
Labour Force ◽  
Participation Rate ◽  
Labour Force Participation ◽  
Labour Force Participation Rate ◽  
Percent Confidence Level

North Sumatera Provincial Government in implementing regional autonomy and fiscal decentralization policies has tried to implement it based on the needs of each district/city so that a prosperous society is created. The prosperity achieved is not only reflected in high economic growth but is also supported by the fulfillment of realizable consumption needs and the abundant availability of reliable human resources. This study discusses the effect of two variables contained in fiscal decentralization, the level of public consumption and labor absorption on economic growth in North Sumatra. The method used by researchers is regression using panel data (pooled data) or called the panel data regression model. The estimation results show the regression coefficient of the CONS variable is -0.185883. This means that with each increase in CONS by 1 percent, economic growth will decrease by 0.18 percent and vice versa. The effect of the CONS variable on EG is negative and significant at the 95 percent confidence level and the estimation results show the regression coefficient of the Labour Force Participation Rate (LFPR) variable of 0.442641. This means that for each increase in LFPR by 1 percent, economic growth will increase by 0.44 percent and vice versa. The effect of the LFPR variable on PE is significant at the 95 percent confidence level.

scholarly journals Determinants of Labour Force Participation Rate in Malaysia from Gender Perspective

2021 ◽  
Vol 3 (2) ◽  
pp. 109-121
Author(s):  
Lim Bao Man ◽  
Nuzlinda Abdul Rahman ◽  
Zainudin Arsad
Keyword(s):  
Panel Data ◽  
Inverse Relationship ◽  
Positive Relationship ◽  
Tertiary Education ◽  
Labour Force ◽  
Participation Rate ◽  
Labour Force Participation ◽  
Education Level ◽  
Labour Force Participation Rate ◽  
Effect Model

Labour force participation rate (LFPR) is always a concern in economic view in Malaysia. This research study on how the labour force factors will affect the LFPR according to gender perspective for every state in Malaysia from the year 2011 to 2016. Static Panel Data analysis were used in this study. By using Fixed effect model (FEM), outside labour force, non-married, secondary, and tertiary education level have inverse relationship with male LFPR, while the marital status of labour force has positive relationship with male LFPR. Next, for the effect of determinants and characteristics of labour force on female LFPR, Random effect model (REM) was used. The model shows that unemployed, widowed status, outside labour force, and marital status have an inverse relationship with female LFPR. Meanwhile, non-formal education level, tertiary education level, and age group between 40-64 have positive relationship with female LFPR. In conclusion, it is important to understand the LFPR according to gender in Malaysia because it will shape the comparative advantage and describes the situation of Malaysia’s labour market. This study provides an overview of labour force in Malaysia using an appropriate statistical modelling known as panel data approach.

scholarly journals THE EFFECT OF CONSUMPTION AND THE LABOUR FORCE PARTICIPATION RATE (LFPR) ON ECONOMIC GROWTH IN NORTH SUMATERA PROVINCE

2021 ◽  
Vol 9 (2) ◽  
pp. 14
Author(s):  
Indra Maipita
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Confidence Level ◽  
Fiscal Decentralization ◽  
Regression Coefficient ◽  
Labour Force ◽  
Participation Rate ◽  
Labour Force Participation ◽  
Labour Force Participation Rate ◽  
Percent Confidence Level

North Sumatera Provincial Government in implementing regional autonomy and fiscal decentralization policies has tried to implement it based on the needs of each district/city so that a prosperous society is created. The prosperity achieved is not only reflected in high economic growth but is also supported by the fulfillment of realizable consumption needs and the abundant availability of reliable human resources. This study discusses the effect of two variables contained in fiscal decentralization, the level of public consumption and labor absorption on economic growth in North Sumatra. The method used by researchers is regression using panel data (pooled data) or called the panel data regression model. The estimation results show the regression coefficient of the CONS variable is -0.185883. This means that with each increase in CONS by 1 percent, economic growth will decrease by 0.18 percent and vice versa. The effect of the CONS variable on EG is negative and significant at the 95 percent confidence level and the estimation results show the regression coefficient of the Labour Force Participation Rate (LFPR) variable of 0.442641. This means that for each increase in LFPR by 1 percent, economic growth will increase by 0.44 percent and vice versa. The effect of the LFPR variable on PE is significant at the 95 percent confidence level.

scholarly journals Education and Unemployment in Israel, 1976-1994: Reducing the Anomaly

2005 ◽  
Vol 54 (4) ◽  
pp. 673-693 ◽  
Author(s):  
Jacob (Yaacov) Weisberg ◽  
Noah M. Meltz
Keyword(s):  
Unemployment Rate ◽  
Labour Force ◽  
Participation Rate ◽  
Labour Force Participation ◽  
Multivariate Regression Analysis ◽  
Government Support ◽  
Labour Force Participation Rate ◽  
Education Group ◽  
Education Levels ◽  
Low Educated

In industrialized economics, unemployment rates are inversely related to education levels. Data from 1963 to 1994 show that Israël is an anomaly exhibiting an inverted U-shaped relationship. Workers with 9-12 years of schooling consistently experienced a higher level of unemployment than the schooling groups with less and more education. Multivariate regression analysis of data for Israël during the 1976-1994 period indicates that this inverted U-shaped relationship is moderating. The national unemployment rate and a time trend variable had positive and significant effects tending to strengthen the inverted U-shaped relationship. However, an increase in the unemployment rate within the 0-8 education group relative to the 9-12 group and a decline in the labour force participation rate of the 0-8 group overrode these factors, resulting in a flattening of the inverse relationship. The major factor responsible for the anomaly in the education-unemployment relationship in Israël appears to be government policies intended to protect low-educated immigrants with large familles. A reduction in government support over recent years seems to have increased the exposure of the least educated to labour market forces.

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.

The Australian labour market in 2019

2020 ◽  
Vol 62 (3) ◽  
pp. 341-364 ◽  
Author(s):  
Elisa Birch ◽  
Alison Preston
Keyword(s):  
Labour Market ◽  
Employment Growth ◽  
Labour Force ◽  
Participation Rate ◽  
Labour Force Participation ◽  
Policy Formulation ◽  
Total Employment ◽  
Labour Force Participation Rate ◽  
Minimum Number ◽  
Part Time

1 This article provides an overview of the key features of the labour market in 2019, with historical data providing insight into recent trends. In 2019, the female labour force participation rate reached an all-time high of 61.3%, 10 percentage points lower than the male rate. Disaggregated analysis shows this growth stems from rising participation amongst older women. This, in turn, is underpinned by a growth in feminised sectors of the labour market, notably the Health Care and Social Assistance sector. Since 2000 this sector has contributed 22.6% to total employment growth and at 2019 accounted for 13.5% of the Australian workforce. There has also been a growth in part-time and casual employment over recent years, with the latter now accounting for 25% of all employees. These are concerning developments, with estimates showing that 58.6% of casuals are not guaranteed a minimum number of hours of work in their job. The article notes that wages growth remains below that required to stimulate employment growth, and that a continued focus on conventional labour market indicators has the potential to lead to misguided policy formulation.

Structure and growth of employment: evidence from India KLEMS data

2019 ◽  
Vol 12 (2) ◽  
pp. 202-228
Author(s):  
Suresh Chand Aggarwal ◽  
Bishwanath Goldar
Keyword(s):  
Growth Rate ◽  
Employment Growth ◽  
Labour Force ◽  
Participation Rate ◽  
Labour Force Participation ◽  
Recent Period ◽  
Data Set ◽  
Labour Force Participation Rate ◽  
Content Type ◽  
Employment Elasticity

Purpose This study aims to analyze the structure and trend in employment in the Indian economy between 1980-8081 and 2015-2016. Design/methodology/approach Use of India KLEMS data set. Estimate growth rate of employment and discuss employment prospects using “Point” employment elasticity. Findings Whilst India’s GDP growth rate has been quite impressive since the reforms of 1991, the rate of employment growth, especially in the recent period of 2003-2015, has been quite slow (1 per cent) with low employment elasticity (0.1). The pattern of employment growth has also been imbalanced with slow rate of employment growth in manufacturing and rapid growth rate in the construction sector. India now also has low labour force participation rate and a large share of informal employment in the economy. Research limitations/implications The limitation is the lack of reliable data on employment for the recent period. Practical implications With overall low employment elasticity, India would have to explore sectors where more employment opportunities could be created. Social implications India has to create not only more jobs but also “good” jobs. Originality/value The India KLEMS data provide a time series for employment, which has been used in this paper to find “Point” elasticity instead of arc elasticity of employment and is an improvement over existing employment elasticity estimates.

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