Minimum Wage Contracts and Individual Wage Formation: Theory and Evidence from Danish Panel Data

1999 ◽  
pp. 165-192 ◽  
Author(s):  
Lars Haagen Pedersen ◽  
Nina Smith ◽  
Peter Stephensen
Keyword(s):  
Panel Data ◽  
Minimum Wage ◽  
Formation Theory ◽  
Wage Formation ◽  
Wage Contracts

scholarly journals Pengaruh Upah Minimum Provinsi, Investasi dan PDRB Terhadap Penyerapan Tenaga Kerja di Indonesia

2020 ◽  
Vol 4 (1) ◽  
pp. 42-55
Author(s):  
Sapriansah Ali Nur Iksan ◽  
Zainal Arifin ◽  
Muhammad Sri Wahyudi Suliswanto
Keyword(s):  
Time Series ◽  
Panel Data ◽  
Minimum Wage ◽  
Cross Section ◽  
Fixed Effect ◽  
Minimum Wages ◽  
West Java ◽  
Insignificant Effect ◽  
Average Contribution ◽  
Effect Test

This study aims to describe the contribution and examine the effect of provincial minimum wages, investment and GRDP on labor absorption in Indonesia. The data used in this study uses panel data, namely a combination of time series and cross section, in this study using 34 provinces in Indonesia in 2013-2017. This study uses the Fixed Effect test. The results showed that the highest average contribution of labor absorption was in the province of East Java, investment was in the province of West Java, the provincial GDP and minimum wages were in the province of DKI Jakarta. Meanwhile, the estimation results show that the provincial minimum wage variable has a positive and significant effect on labor absorption, the investment variable has a negative and insignificant effect on labor absorption, while the GRDP variable has a positive and significant effect on labor absorption in Indonesia.

scholarly journals Poverty Conditions and Policy Solutions in Banten Province (Data Analysis Years 2009-2013)

2017 ◽  
Vol 1 (01) ◽  
pp. 26
Author(s):  
Muhammad Findi ◽  
Veni Lutfiani Zulia
Keyword(s):  
Economic Growth ◽  
Data Analysis ◽  
Panel Data ◽  
Minimum Wage ◽  
Jel Classification ◽  
Literacy Rate ◽  
Poverty Levels ◽  
Policy Solutions

<p>The aim of this study is to describe conditions of regional poverty to analyze the factors that affect the level of poverty in Banten province from 2009 to 2013, and to formulate solutions minimizing problems of poverty in the province of Banten. A methods used in this study is regression using panel data. Variables in this study are economic growth, minimum wage, unemployment, and literacy rate. The result of this study show that that significant variables on poverty levels in province of Banten are minimum wage, unemployment, and literacy rate. While variable is not significant to level of poverty in province of Banten is economic growth.</p><p>JEL Classification: I30, J30, N30<br />Keywords: Banten Province, Poverty, Regression Panel Data</p>

scholarly journals ANALISIS PENGARUH JUMLAH PENDUDUK, PENDIDIKAN, UPAH MINIMUM DAN PRODUK DOMESTIK REGIONAL BRUTO (PDRB) TERHADAP JUMLAH PENGANGGURAN DI KABUPATEN DAN KOTAPROVINSI JAWA TIMUR TAHUN 2010-2014

2017 ◽  
Vol 2 (1) ◽  
Author(s):  
Trianggono Budi Hartanto
Keyword(s):  
Panel Data ◽  
Gross Domestic Product ◽  
Minimum Wage ◽  
Random Effect ◽  
Random Effect Model ◽  
Domestic Product ◽  
Population Education ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Impact

AbstractThis research aims to analyze the impact of variable population, education (Means Years School), minimum wage and gross domestic regional product on unemployment in district and cities East Java from 2010 to 2014. The analytical method used panel data regression (pooled data) with the Random Effect Model approach. Results of panel data regression analysis in this research showed population, education (means years school), minimum wage and regional gross domestic product is simultaneously significant positive effect on unemployment in distric and cities East Java. Partially, population, education (means year school) and regional gross domestic product is significant and positive impact on unemployment, while minimum wage has no significant impact on unemployment in distric and cities East Java. Keywords : Unemployment,  Population,  Education,  Minimum  Wage,  Gross Domestic Regional Bruto (GDRP) Research Area: District and City East Java

Employment Effects of Minimum and Subminimum Wages: Panel Data on State Minimum Wage Laws

ILR Review ◽  
1992 ◽  
Vol 46 (1) ◽  
pp. 55-81 ◽  
Author(s):  
David Neumark ◽  
William Wascher
Keyword(s):  
Time Series ◽  
Young Adults ◽  
Panel Data ◽  
Minimum Wage ◽  
State Legislatures ◽  
Minimum Wages ◽  
Economic Conditions ◽  
Employment Effects ◽  
Time Series Studies

Using panel data on state minimum wage laws and economic conditions for the years 1973–89, the authors reevaluate existing evidence on the effects of a minimum wage on employment. Their estimates indicate that a 10% increase in the minimum wage causes a decline of 1–2% in employment among teenagers and a decline of 1.5–2% in employment for young adults, similar to the ranges suggested by earlier time-series studies. The authors also find evidence that youth subminimum wage provisions enacted by state legislatures moderate the disemployment effects of minimum wages on teenagers.

scholarly journals Determinants of Youth Labour Absorption in Indonesia

2021 ◽  
pp. 1236-1250
Author(s):  
Suryadi ◽  
Emi Syarief ◽  
Yuniarti Tri Suwadji ◽  
Ardhian Kurniawati
Keyword(s):  
Panel Data ◽  
Elderly People ◽  
Minimum Wage ◽  
Work Experience ◽  
Basic Education ◽  
Age Groups ◽  
Education Level ◽  
Young Workers ◽  
Labour Absorption ◽  
Youth Labour

This study aims to determine how: the provincial minimum wage affects youth labour absorption in Indonesia; the regional economic conditions affect youth labour absorption in Indonesia; the level of education affects youth labour absorption in Indonesia; the effects of elderly people working on youth labour absorption in Indonesia; and the type of work elderly people do affects youth labour absorption in Indonesia. The data used in this study issecondary data from the Indonesian Central Bureau of Statistics (BPS), namely Sakernas of 2008-2018 with panel data type. Data was analysed using panel data regression analysis. The results show that several variables have a significant effect on employment opportunities for youth labour, namely the Provincial Minimum Wage (UMP), the Basic Education Level of Young Workers, the Secondary Education Level of Young Workers, and the Higher Education Level of Young Workers. These mean that there is no trade off between elderly and young workers. It could be because of the job positions in these two age groups are likely to be different, so that there is no positions’ substitution for elderly and young workers, and the positions entered by these elderly workers are positions that require a fairly high work experience.

scholarly journals Faktor–faktor yang mempengaruhi inflasi Provinsi-Provinsi di Sumatera

2019 ◽  
Vol 8 (1) ◽  
pp. 1-14
Author(s):  
Lailan Syafrina Hasibuan ◽  
Rahma Nurjanah ◽  
Etik Umiyati
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Minimum Wage ◽  
Government Spending ◽  
Quantitative Methods ◽  
Descriptive Analysis ◽  
Random Effect ◽  
Road Infrastructure ◽  
Panel Data Regression ◽  
Data Regression

This study aims to: 1) analyze inflationary developments, road infrastructure, government spending, provincial minimum wage, and economic growth provincial in Sumatra; 2) analyze the influence of road infrastructure, government spending, provincial minimum wage, and economic growth provincial in Sumatra. This research uses a descriptive analysis method to determine the development of each research variable and quantitative methods using panel data regression approach random effect. Based on the descriptive analysis of inflationary development, road infrastructure stagnated, government spending, provincial minimum wage, and economic growth was increased every year. The regression of panel data with random effect approach variable of the provincial minimum wage has a positive and significant influence on the inflation of provincial in Sumatra. While road infrastructure, government spending, economic growth have no significant effect on provincial inflation in Sumatra. Keywords: Inflation, Government spending, Economic growth.

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