scholarly journals Pemodelan Regresi Nonparametrik Spline Linear Persentase Penduduk Miskin di Kalimantan

2020 ◽  
Vol 1 (2) ◽  
Author(s):  
Wianita Noviani ◽  
◽  
Sifriyani Sifriyani ◽  
Ika Purnamasari ◽  
◽  
...  
Keyword(s):  
Participation Rate ◽  
Regression Method ◽  
Labor Force Participation Rate ◽  
Poor People ◽  
Spline Regression ◽  
Nonparametric Regression Model ◽  
Linear Spline ◽  
East Kalimantan ◽  
Average School ◽  
Poor Population

Poverty is a social problem faced in almost every country. Based on BPS data published in 2018, East Kalimantan Province has a population of poor people of 222.39 thousand people or around 6.06 percent. In March 2018, the number of poor people was 218.90 thousand people or about 6.03 percent, which means the number of poor people had increased by an absolute 3.49 thousand people, this caused the percentage of poor people to rise 0.03 percent. In this study identified factors that influence the percentage of poor population using a linear spline nonparametric regression model. The data used in this study are data from the Central Statistics Agency (BPS) in 5 provinces in Kalimantan. In the nonparametric linear spline regression method using the optimal knot point based on the smallest GCV value. The results obtained an R2 value of 74.48% which shows that the model formed is feasible to be used to model the data pattern and there are 5 variables that have a significant effect on the Percentage of Poor Population, namely Population Growth Rate, School Length Average, School Old School Expectancy Rate, Level Open Unemployment, Labor Force Participation Rate.

scholarly journals Pemodelan Pengaruh Imunisasi DPT Terhadap Angka Kematian Bayi di Jawa Timur Tahun 2016 Menggunakan Pendekatan Regresi Nonparametrik Spline

2019 ◽  
Vol 12 (1) ◽  
pp. 26-31
Author(s):  
Harun Al Azies ◽  
Dea Trishnanti
Keyword(s):  
Regression Analysis ◽  
Nonparametric Regression ◽  
Mortality Rates ◽  
Behavior Patterns ◽  
Spline Regression ◽  
Nonparametric Regression Model ◽  
Live Births ◽  
Linear Spline ◽  
Regression Approach ◽  
Type 3

East Java is one of the provinces with a high IMR level. Based on the District / City report in East Java, in 2006 it was 0.035 live births and became 0.0032 live births in 2008. Identification of factors that influence both indicators correctly can be done by modeling, namely by nonparametric regression analysis. The nonparametric regression approach used is Spline, with its strengths the model tends to look for estimates wherever the data moves. This is because there is a knot point which is a joint fusion point which indicates a change in data behavior patterns. Based on the results of analysis and discussion using Spline analysis, it is known that the factors that influence the incidence of IMR in East Java are toddlers receiving type 3 DPT immunization. The best Spline nonparametric regression model is a linear Spline model with three point knots. The GCV value produced was 51.34. Factors of children under five obtained immunizations affecting infant mortality rates in districts / cities in East Java in 2016. This research still uses linear spline regression program with a combination of one, two, and three knots with R square of 65.92%. The need to develop programs into quadratic and cubic orders using a combination of knots. Jawa Timur merupakan salah satu provinsi dengan tingkat AKB yang tinggi. Berdasarkan laporan Kabupaten/Kota di Jawa Timur, pada tahun 2006 sebesar 0,035 kelahiran hidup dan menjadi 0,0032 kelahiran hidup pada tahun 2008. Jika suatu daerah dengan AKB yang tinggi, maka terdapat kemungkinan bahwa daerah sekitarnya akan memiliki beban AKB yang sama pula. Identifikasi faktor-faktor yang mempengaruhi kedua indikator secara tepat dapat dilakukan dengan pemodelan, yaitu dengan analisis regresi nonparametrik. Pendekatan regresi nonparametric yang digunakan adalah Spline, dengan kelebihannya model cenderung mencari estimasinya kemanapun data tersebut bergerak. Hal ini dikarenakan terdapat titik knot yang merupakan titik perpaduan bersama yang menunjukkan terjadinya perubahan pola perilaku data. Berdasarkan hasil analisis dan pembahasan dengan menggunakan analisis Spline diketahui bahwa faktor yang berpengaruh terhadap kejadian AKB di Jawa Timur adalah balita memperoleh imunisasi DPT tipe 3. Model regresi nonparametrik Spline terbaik adalah model Spline linear dengan tiga titik knot. Nilai GCV yang dihasilkan adalah 51,34. Faktor balita memperoleh imunisasi mempengaruhi angka kematian bayi di kabupaten/kota di Jawa Timur pada tahun 2016. Penelitian ini masih menggunakan program regresi spline linier dengan kombinasi satu, dua, dan tiga knot dengan R square sebesar 65,92%. Perlu adanya pengembangan program menjadi orde kuadratik dan kubik dengan menggunakan kombinasi knot.    

scholarly journals PEMODELAN REGRESI NONPARAMETRIK SPLINE TRUNCATED PADA FAKTOR-FAKTOR YANG MEMPENGARUHI PERTUMBUHAN EKONOMI DI PROVINSI MALUKU

2019 ◽  
Vol 1 (1) ◽  
pp. 27-37
Author(s):  
Muhammad Yahya Matdoan ◽  
A. M. Balami ◽  
M. W. Talakua
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Cross Validation ◽  
Regression Method ◽  
Behavior Patterns ◽  
Spline Regression ◽  
Model Data ◽  
Truncated Regression ◽  
A Value ◽  
Poor Population

Economic growth is a benchmark for the success of a region's development, especially in the economic field. The purpose of economic development in an area is basically to improve the welfare and prosperity of the community. Economic growth in Maluku Province experienced a positive increase. However, there is still a disparity between districts/cities in Maluku Province, which has an impact on increasing unemployment and an increasingly poor population. This is inseparable from the influencing factors so that it can be precisely done by modeling these factors using the truncated nonparametric spline regression method. the advantages of this method occur because in nonparametric spline truncated regression has knot points, which are joint fusion points that indicate changes in data behavior patterns. Besides, this method can be used to model data patterns that change at certain sub-intervals. The best model is very dependent on determining the optimal knot point by using the minimum Generalized Cross-Validation (GCV) value. The results obtained in this study were the highest percentage of economic growth in Maluku Province, Ambon City with a percentage of 6.17%, and the lowest economic growth was in the East Seram District (SBT) with a percentage of 5.03%. Furthermore, the best model is obtained with a model with three knots and a GCV value of 11.61, a value of 2 of 0.94 and an MSE value of 0.005. This means that statistically, the variables used in this study affect economic growth by 94%. While the rest is influenced by other variables outside the research.

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.

scholarly journals Contemporary Indonesian GDP: Context of Analysis at Unemployment, Labor Force and Poor People

2021 ◽  
pp. 143-154
Author(s):  
Erwin Kurniawan A. ◽  
Muhammad Awaluddin ◽  
Fitriadi Fitriadi ◽  
Arfiah Busari ◽  
Dio Caisar Darma
Keyword(s):  
Labor Force ◽  
Negative Impact ◽  
Participation Rate ◽  
Poor People ◽  
Gdp Growth ◽  
Macroeconomic Variables ◽  
Development Goals ◽  
The Government ◽  
Relationship Of ◽  
The Relationship

Indonesia is a developing country that has always prioritized sustainable development. In achieving these development goals, Indonesia needs to achieve economic growth by improving population welfare and increasing income. With the form of panel data from 34 provinces in Indonesia that have unique characteristics, the author presented them during 2015-2019. Through multiple linear regression, this study seeks to discuss the relationship of unemployment, labor force participation rate, and poor people to Indonesia’s GDP growth. These findings suggest that the three macroeconomic variables have a negative impact on GDP. Regarding GDP growth, only unemployment has an actual effect, while others have no significant effect. The implications of the policies pursued by the government are not only paying attention to economic aspects but social problems that are expected to spur economic development.

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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