scholarly journals Modeling the Labor Force Participation Rate of the Philippines through Multiple Linear Regression

2021 ◽  
Vol 12 (3) ◽  
pp. 4987-4998
Author(s):  
Angelu G. Leynes Et. al.
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Labor Force ◽  
Labor Force Participation ◽  
Participation Rate ◽  
The Philippines ◽  
Labor Force Participation Rate ◽  
Quarterly Data ◽  
Independent Variables ◽  
Significant Difference

The main purpose of this study is to formulate a mathematical regression model showing the significant effect of the independent variables to the dependent variable. The researchers obtained the quarterly data from the Philippine Statistics Authority (PSA) limited only from 2001 to 2016 with a total of 448 observations. The data include the following factors: Employment Rate (X1), Underemployment Rate (X2), Gross National Income (X3), Household Population 15 yrs+ (X4) and Gross Domestic Product (X5) as independent variables that can affect the Labor Force Participation Rate in the Philippines. The researchers use the IBM Statistical Package for the Social Sciences as a statistical tool for recording and analyzing the quarterly data. The researchers employed two main statistical treatments which are subjected at 1% level of significance: Pearson R Correlation, to determine which of the independent variables have significant relationship with the dependent variable; and Multiple Linear Regression Analysis, to formulate the fitted mathematical model for the dependent variable. According to the results gathered, three out of five independent variables become the predictors of Labor Force Participation Rate which are included in the fitted model. Moreover, the researchers also utilize the Paired-T test to find if the predicted values and the actual values of the dependent variable have significant difference with each other

Labor Force Trends and Immigration in Europe

2005 ◽  
Vol 39 (3) ◽  
pp. 637-662 ◽  
Author(s):  
Serge Feld
Keyword(s):  
Labor Force ◽  
European Community ◽  
Labor Force Participation ◽  
Participation Rate ◽  
Labor Force Participation Rate ◽  
Social Security Systems ◽  
Security Systems ◽  
Early Effect ◽  
Demographic Situation ◽  
National Characteristics

Labor force trends up to 2025 for the fifteen countries (before May 1, 2004) of the European Community are examined. Will demographic decline have an early effect on manpower volume? An estimation is made to determine whether present migratory flow levels in these countries will be sufficient to counter labor force stagnation. Manpower trend scenarios are proposed for each country. They show highly contrasting situations. These countries favor different policies for mobilizing and increasing their manpower volume. There is wide divergence between the various EU countries as concerns their demographic situation and labor force participation rate as well as their social security systems. Considering these highly diverse national characteristics, the difficulty in arriving at a consensus on EU migratory policy harmonization is stressed.

scholarly journals Female Labor Market Participation and Economic Growth: The Case of Pakistan

2017 ◽  
Vol 4 (2) ◽  
pp. 217 ◽  
Author(s):  
Adnan Khaliq ◽  
Dilawar Khan ◽  
Sultan Akbar ◽  
Muhammad Hamayun ◽  
Barkat Ullah
Keyword(s):  
Economic Growth ◽  
Labor Force ◽  
Labor Force Participation ◽  
Participation Rate ◽  
Female Labor Force Participation ◽  
Labor Force Participation Rate ◽  
Policy Implications ◽  
Series Data ◽  
Female Labor ◽  
Adf Test

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.

Analisis faktor-faktor yang mempengaruhi Tingkat Partisipasi Angkatan Kerja (TPAK) di Provinsi Jambi

2019 ◽  
Vol 8 (2) ◽  
pp. 68-81
Author(s):  
Igo Septa Saputra ◽  
Zulfanetti Zulfanetti ◽  
Jaya Kusuma Edi
Keyword(s):  
Labor Force ◽  
Labor Force Participation ◽  
Price Index ◽  
Consumer Price Index ◽  
Participation Rate ◽  
Labor Force Participation Rate ◽  
Minimum Wages ◽  
Domestic Product ◽  
Series Data ◽  
Rate Minimum

This research aim to: First, analyze the development of labor force participation rate, minimum wages, consumer price index and gross regional domestic product in Jambi Province. This study use time series data between 2000-2017 with data analysis method used namely quantitative descriptive analysis and Ordinary Least Square (OLS) method. Based on the result of data processing using the OLS method in multiple regression equations in 2000-2017 results were obtained. That the average development of the labor force participation rate, minimum wage, consumer price index and gross regional domestic product fluctuative from year to year. Based on processing data obtained results: (1) Consumer price index variable have a positive and not significant effect on labor force participation rate in Jambi Province; (2) The variable minimum wages and gross regional domestic product have a positive and significant effect on minimum wages in Jambi Province. Keywords:       Labor Force Participation Rate,  Minimum Wages, Consumer Price Indexand, and Gross Regional Domestic Product.

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