Unemployment, labor force composition and sickness absence: a panel data study

2005 ◽  
Vol 14 (11) ◽  
pp. 1087-1101 ◽  
Author(s):  
Jan Erik Askildsen ◽  
Espen Bratberg ◽  
Øivind Anti Nilsen
Keyword(s):  
Panel Data ◽  
Labor Force ◽  
Sickness Absence ◽  
Labor Force Composition

Women's labor force transitions in connection with childbirth: A panel data comparison between Germany, Sweden and Great Britain

1996 ◽  
Vol 9 (3) ◽  
pp. 223-246 ◽  
Author(s):  
Siv S. Gustafsson ◽  
Cecile M. M. P. Wetzels ◽  
Jan Dirk Vlasblom ◽  
Shirley Dex
Keyword(s):  
Great Britain ◽  
Panel Data ◽  
Labor Force ◽  
Women's Labor ◽  
Data Comparison

scholarly journals The Analysis of Economic Development GAP Between Regencies in Central Java Provinces

2018 ◽  
Vol 5 (2) ◽  
pp. 194-199
Author(s):  
Panji Irawan Yogyadipratama ◽  
P. Eko Prasetyo
Keyword(s):  
Economic Development ◽  
Panel Data ◽  
Labor Force ◽  
Central Government ◽  
Linear Regression Analysis ◽  
Development Aid ◽  
Series Data ◽  
Know How ◽  
Central Java ◽  
Central Java Province

The purpose of this study were (1) to know how the development level of inequality of economic development in Central Java Province according to Williamson Index; (2) determine the extent of the influence of the labor force to the level of economic development of Central Java Province; and (3) know how to influence the allocation of development aid districts / cities to the economic development of Central Java province. This research is a quantitative research used panel data, time series data (years 2002-2011) and cross section (35 districts / cities in Central Java province). The data used in this research is secondary data obtained from the Central Statistics Agency (BPS). The analytical method used is the method of multiple linear regression analysis of panel data with FEM methods used tools Eviews 7 software. Results of the study is to show (1) the economic development gaps between regions in Central Java province which is calculated using Williamson index during the period 2008-2011 showed a widening inequality; (2) the allocation of development aid from the central government uneven and areas that receive aid are too large can increase the level of inequality between regions. This is due to the construction of concentrated to areas that are already developed than areas that are still lagging behind, because the area is developed better facilities from areas not yet developed; and (3) R2 value of 0.9949 means variable variation inequality of economic development in Central Java province can be explained by variables of the labor force and the allocation of regional development funds amounting to 95.5% while the remaining 0.05% is explained by other factors outside the model

scholarly journals Analisis Pengaruh Pertumbuhan Ekonomi, Jumlah Angkatan Kerja dan Upah Minimum Regional Terhadap Pengangguran Terdidik di Jawa Timur

2017 ◽  
Vol 4 (2) ◽  
pp. 187
Author(s):  
R. Achmad Ryan Z ◽  
Nanik Istiyani ◽  
Anifatul Hanim
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Regression Analysis ◽  
Panel Data ◽  
Labor Force ◽  
Cross Section ◽  
Secondary Data ◽  
Minimum Wages ◽  
Panel Data Regression ◽  
Data Regression

This research aimed to determine how much the influence of economic growth, the number of labor force and regional minumum wages on educated unemployment in East Java. The data used in this research is secondary data such as time series and cross section. The analytical method used in this research is panel data regression analysis. The results showed that variable of the economic growth was positifly and not significantly affect to the educated unemployment in East Java, whereas the number of labor force and regional minimum wages was positivly and significantly affect to the educated unemployment in East Java. Keywords: The Economic Growth, the Number of Labor Force and Regional Minimum Wages.

scholarly journals Employment in Tourism Industries: Are There Subsectors with a Potentially Higher Level of Income?

Mathematics ◽  
2021 ◽  
Vol 9 (22) ◽  
pp. 2844
Author(s):  
Pablo Dorta-González ◽  
Sara M. González-Betancor
Keyword(s):  
Panel Data ◽  
Labor Force ◽  
Opposite Direction ◽  
Oecd Countries ◽  
Tourism Industry ◽  
Cultural Industry ◽  
Economic Variables ◽  
Travel Agencies ◽  
Food And Beverage ◽  
The Impact

This work analyzes the tourist sector, the employment generated by the tourism industries, and its relationship with tourism receipts. The hypothesis is that there are tourist subsectors with a potentially higher level of income. The article studies the impact of the distribution of the employed population in the different subsectors of the tourism industry, controlling for the most important economic variables, on the level of income per arrival in 24 OECD countries, using panel data for the period 2008–2018. As its main result, the model indicates that the labor force that increases most the receipts per arrival is the ‘travel agencies and other reservation services’, followed by the ‘sports and recreation industry’ labor force, while having a large labor force in the ‘food and beverage’ or ‘cultural industry’ operates in the opposite direction.

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