scholarly journals The Determinant of Regional Unemployment in Indonesia: The Spatial Durbin Models

2019 ◽  
Vol 8 (2) ◽  
Author(s):  
Eka Khaerandy Oktafianto ◽  
Noer Azam Achsani ◽  
Tony Irawan
Keyword(s):  
Higher Education ◽  
Unemployment Rate ◽  
Indirect Effect ◽  
Unemployment Rates ◽  
Regional Unemployment ◽  
Economic Problems ◽  
Independent Variables ◽  
Determinants Of Unemployment

Unemployment is a problem that occurs in many countries and often gets special attention both from policymakers and academics. This fact is because if not addressed, it will cause socio-economic problems in the country. Therefore it is necessary to formulate the causes of unemployment by involving spatial aspects to avoid biased and inefficient estimates. This study aims to find the determinants of unemployment rates in Indonesia, including calculating the direct and indirect effect of using the spatial Durbin models (SDM) in the period 2000-2017. The results of this study indicate that the overall independent variables used significantly influence the unemployment rate in Indonesia. Besides, it turns out that the higher education variable completed by the population of a region has the most significant impact both in decreasing unemployment in a region and neighboring regions. Therefore, the policy taken should pay attention to this.

Welke factoren bepalen de aansluiting van onderwijs en beroep?

2011 ◽  
Vol 27 (4) ◽  
Author(s):  
Dieter Verhaest ◽  
Walter Van Trier ◽  
Sana Sellami
Keyword(s):  
Higher Education ◽  
Human Capital ◽  
Unemployment Rate ◽  
Regional Unemployment ◽  
Negative Effect ◽  
The Subject ◽  
Regional Unemployment Rate ◽  
Job Content

What factors determine the adequacy between education and occupation? A study among Flemish graduates from higher education What factors determine the adequacy between education and occupation? A study among Flemish graduates from higher education The literature on mismatch considers the so-called ‘overeducated’ mostly as a homogeneous category and does not consider the match between subject and job content. In this article we distinguish between the overeducated with a horizontal match and those without a horizontal match. Our starting hypothesis is that being overeducated without realizing a horizontal match is especially problematic. Our results, based on data for higher education graduates in Flanders, are consistent with this. We find that the negative effect of being overeducated is stronger for youngsters without a horizontal match. We also find that both types of overeducation are connected to different mechanisms. The regional unemployment rate, for instance, mainly explains overeducation with horizontal match. Both types of overeducation, even if not in the same way, are also influenced by the quality of human capital as well as the subject of study.

scholarly journals Differences and similarities in the indebtedness of EU member states after last financial crisis

2016 ◽  
Vol 7 (4) ◽  
pp. 551 ◽  
Author(s):  
Eva Lajtkepová
Keyword(s):  
Unemployment Rate ◽  
Secondary Data ◽  
Social Benefits ◽  
Member States ◽  
Unemployment Rates ◽  
Economic Problems ◽  
Eu Member States ◽  
The Relationship ◽  
Further Development ◽  
The Eu

Indebtedness is undoubtedly one of the most significant economic problems in the countries of the EU. Despite the fact that the EU-28 have adopted criteria and measures that should regulate indebtedness, the majority of member states are not keeping up to these previously agreed rules. For many countries indebtedness has become a barrier to further development. The article’s aim is to provide an overview of the indebtedness of EU member states and to explore whether this indebtedness is linked to or even dependent on selected economic characteristics (GDP, unemployment rate and social benefits paid as a share of GDP). Data from the EU-28 countries, the Eurozone and the countries outside the Eurozone will be studied separately on the assumption that there will be differences between the countries in the Eurozone and those outside it. In the investigation of the issue only secondary data from the official statistics can be used. All the data are taken from Eurostat and then processed using the standard methods of descriptive statistics and correlation analysis. The analysis carried out showed that the average indebtedness of the EU-28 countries is higher than set by the EU criteria, and at the same time confirmed that there is a difference in debt levels between countries within and outside the Eurozone. The Eurozone countries show indebtedness that is overall higher than in countries outside the Eurozone, while at the same time they show a moderately strong linear dependence both between indebtedness and unemployment rates and between indebtedness and payments of social benefits. In the countries outside the Eurozone it was shown that while the relationship between indebtedness and the unemployment rate was weak that between indebtedness and the payment of social benefits was relatively strong.

scholarly journals Unemployment and COVID-19 Impact in Greece: A Vector Autoregression (VAR) Data Analysis

2021 ◽  
Vol 5 (1) ◽  
pp. 41
Author(s):  
Christos Katris
Keyword(s):  
Data Analysis ◽  
Response Function ◽  
Unemployment Rate ◽  
Vector Autoregression ◽  
Impulse Response Function ◽  
Youth Unemployment ◽  
The Other ◽  
Var Model ◽  
Unemployment Rates ◽  
The Impact

In this paper, the scope is to study whether and how the COVID-19 situation affected the unemployment rate in Greece. To achieve this, a vector autoregression (VAR) model is employed and data analysis is carried out. Another interesting question is whether the situation affected more heavily female and the youth unemployment (under 25 years old) compared to the overall unemployment. To predict the future impact of COVID-19 on these variables, we used the Impulse Response function. Furthermore, there is taking place a comparison of the impact of the pandemic with the other European countries for overall, female, and youth unemployment rates. Finally, the forecasting ability of such a model is compared with ARIMA and ANN univariate models.

Pengukuran Kepuasan Pengguna Website Politeknik ATI Padang Berdasarkan Persepsi Pengguna Internal

2021 ◽  
Vol 2 (2) ◽  
pp. 65
Author(s):  
Rizaldi Sardani ◽  
Demi Ramadian ◽  
Wahyu Fitrianda Mufti ◽  
Suci Oktri Viarani M
Keyword(s):  
Higher Education ◽  
Customer Satisfaction ◽  
User Satisfaction ◽  
Information Quality ◽  
Education Institution ◽  
Likert Scale ◽  
Independent Variables ◽  
Interaction Quality ◽  
Academic Activities ◽  
The Government

Website is an important part of any organization namely in the government, business, health and education sectors. In the world of higher education, website can be used to disseminate information related to campus life as well as a medium for promoting the existence of the campus to the outside world. As a higher education institution, Polytechnic ATI Padang own a website which is used to display various information about campus academic activities. In its management, the level of user satisfaction of the website of Polytechnic ATI Padang has never been measured. The Webqual 4.0 method used in this study aims to measure the satisfaction of internal website users by looking at the dimensions of Usability, Information Quality, Interaction Quality and Customer Satisfaction. Measurements performed by using a questionnaire instrument with Likert scale then calculated with the help of SPSS software. The results obtained that the independent variables, namely Usability, Information Quality, Interaction Quality have an influence on the dependent variable Customer Satisfaction of 70.1% and there are still 29.9% of other independent variables that can affect the dependent variable Customer Satisfaction. Furthermore, based on the results of the calculation of the satisfaction level with Likert scale, it was found that the variables of Usability, Information Quality, Interaction Quality and Customer Satisfaction received a satisfied interpretation, so it can be concluded that the Polytechnic ATI Padang website provides good service to its users.

scholarly journals IMPACT OF EDUCATION AND HEALTH ON THE UNEMPLOYMENT RATE AND ECONOMY OF EAST JAVA

2019 ◽  
Vol 9 (2) ◽  
Author(s):  
Suyanto Suyanto ◽  
Bambang Purnomo ◽  
Rahmawati Erma StandsyahStandsyah
Keyword(s):  
Direct Effect ◽  
Unemployment Rate ◽  
Indirect Effect ◽  
Social Problems ◽  
Total Population ◽  
Insignificant Effect ◽  
Education And Health ◽  
Positive Direct

East Java statistics indicate that the total population of East Java Province is increasing every year. The increase in the population is followed by an increase in social problems, including unemployment. The unemployment rate can affect the economy of the society. Efforts must be made to reduce it by improving the quality of society through factors related to education and health. According to data from East Java in 2017, East Java's education has a significant positive direct effect on the East Java economy of 0.343%, while indirectly through unemployment has an insignificant effect increased by 0.0021%. In addition, health has no significant direct and indirect effect on the East Java economy with coefficients of 0.078% and -0.0023%, respectively.

scholarly journals HUMAN DEVELOPMENT INDEX, UNEMPLOYMENT AND POVERTY IN PAPUA PROVINCE, 2010-2015

2018 ◽  
Vol 16 (1) ◽  
pp. 24
Author(s):  
Nurisqi Amalia ◽  
Anisa Nurpita ◽  
Rina Oktavia
Keyword(s):  
Human Development ◽  
Unemployment Rate ◽  
Human Development Index ◽  
Secondary Data ◽  
Poverty Rate ◽  
Research Data ◽  
Analysis Tool ◽  
Poverty Level ◽  
Development Index ◽  
Independent Variables

Papua Province is one of the poorest provinces in Indonesia. Some of the variables that affect health levels including Human Development Index (HDI) and unemployment rate. This research analyzes Human Development Index and unemployment rate to poverty level in districts/cities in Papua Province during 2010-2015. Research data used in this research is secondary data from Central Bureau of Statistics of district/city in Papua Province. The independent variables used are open unemployment rate and Development Index. While the dependent variable used is poverty level in districts/citis in Papua Province year 2010-2015. The analysis tool used is regression with panel data. The result of this research shows that the average of district/city’s poverty rate in Papua 2010-2015 is 32,34 percent. The highest level is in District Deiyai and the lowest is in District Merauke. The Human Development Index has decreased significantly to the poverty rate of district/city in Papua Province, while the open unemployment rate is positive to the poverty rate of district/city in Papua Province. Human Development Index and open unemployment rate as a whole and together affect poverty level in district/city in Papua Province.

scholarly journals On the Determinants of Unemployment Rate in Nigeria: Evidence from Fully Modified OLS and Error Correction Model

2018 ◽  
Author(s):  
Monday Osagie Adenomon ◽  
N. A. Okoro-Ugochukwu ◽  
C. A. Adenomon
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Population Growth ◽  
Error Correction ◽  
Unemployment Rate ◽  
Inflation Rate ◽  
Error Correction Model ◽  
Correction Model ◽  
Short Run ◽  
Determinants Of Unemployment

This study employed the Fully Modified Ordinary Least Squares (FMOLS) and the Error Correction Model (ECM) to investigate the long-run and short-run determinants of unemployment rate in Nigeria. To achieve this annual data on unemployment rate, inflation rate, interest rate, exchange rate and population growth from 1981 to 2016 was collected from Central Bank Statistical Bulletins and the World Bank website. The ADF test revealed that the macroeconomic variables are stationary at first difference while the Cointegration test revealed that the variables are cointegrated. Using unemployment rate as dependent variable, the FMOLS model revealed that exchange rate and population growth are positively significantly related to unemployment rate, interest rate and inflation rate were negatively related to unemployment rate but only interest rate was significant. The short run relationship revealed that the coefficient of the ecm(-1) is negative and statistically significant at 5% level indicating that the system corrects its previous period disequilibrium at the speed of 48.93% yearly. This study concludes that high exchange rate and population growth can lead to increase in unemployment rate in Nigeria while the government should develop the industrial sector and non-oil sector in order to generate employment and boost export in Nigeria.

scholarly journals The COVID-19 Shock: A Bayesian Approach

2021 ◽  
Vol 14 (10) ◽  
pp. 495
Author(s):  
Oussama Abi Younes ◽  
Sumru Altug
Keyword(s):  
Interest Rates ◽  
Unemployment Rate ◽  
Bayesian Approach ◽  
Economic Activity ◽  
Preventive Measures ◽  
Impulse Response Functions ◽  
Response Functions ◽  
Vector Autoregressive ◽  
Unemployment Rates ◽  
Explicit Recognition

The coronavirus crisis that started in December 2019 was declared a pandemic by March 2020 and had devastating global consequences. The spread of the virus led to the implementation of different preventive measures prior to the availability of effective vaccines. While many governments implemented lockdowns to counter the pandemic, others did not let the virus halt economic activity. In this paper, we use a Bayesian Vector Autoregressive framework to study the effects of the pandemic on prices, unemployment rates, and interest rates in nine countries that took distinctive approaches in tackling the pandemic, where we introduce lockdowns as shocks to unemployment. Based on impulse response functions, we find that in most countries the unemployment rate rose, interest rates fell or turned negative, and prices fell initially following the implementation of the lockdown measures. However, the massive fiscal and monetary stimulus packages to counteract the effects of the pandemic reversed some of the effects on the variables, suggesting that models with explicit recognition of such effects should be developed.

Collaborative Outreach by Industries to Promote Education and Employment Leading to Regional Development

2017 ◽  
pp. 147-156
Author(s):  
S. S. Easwaran
Keyword(s):  
Higher Education ◽  
Communication Skills ◽  
Unemployment Rate ◽  
Regional Growth ◽  
Industrial Sector ◽  
Human Potential ◽  
The Third ◽  
Industrial Organizations ◽  
Education And Employment ◽  
Skill Building

India is the third largest country in the higher education space with an unemployment rate of 4.8 percent. There is clear gap between academic deliverables and expectation from the employers and industries. Experimentation based learning is not leveraging actual knowledge as the process based learning happens while the candidate is on the job. The current employment greatly depends on the industry, academia, research and government sectors. To gain an entry in to each of these segments, the candidates need skillsets ranging from strong technical background, aptitude, communication skills, and working in teams. There are multiple ways through which the skill building is carried out by independent, government and industrial organizations. As an ecosystem, both academia and the industries should step forward to bridge the gap and utilize the human potential to the fullest to drive the growth of each industrial sector andthe region at large. This chapter outlines the outreach of industries through initiatives to bridge the gap between the academia and industry to promote regional growth. The opportunities, the gap that exists, various initiatives are discussed in detail.

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