scholarly journals Pengaruh Perkembangan Bank Umum Syariah Terhadap Pertumbuhan Ekonomi Indonesia Periode 2010-2015

2017 ◽  
Vol 4 (12) ◽  
pp. 952
Author(s):  
Firmansyah Putra ◽  
Muhammad Nafik Hadi Ryandono
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Cross Section ◽  
Annual Report ◽  
Secondary Data ◽  
Islamic Banking ◽  
Islamic Banks ◽  
Cross Section Data ◽  
Production Index ◽  
Section Data

The study aims to examines the influence of Islamic banks on economic growth in Indonesia during the period 2010–2015. Secondary data that were used in this research were in the form of monthly time series and cross-section data during the year 2010–2015. The data were obtained based on monthly statistical banking report from Bank Indonesia (BI) andmonthly statistical reports of the Monthly Industrial Production Index in the Large and Medium scale from Central Bureau of Statistics (BPS) of Indonesia and also annual report from each islamic banks that conclude in this observation. Total assets, and total financing as variables that are representing the Islamic bank. GDP (Gross Domestic Product) is the variable that representing economic growth. By using Multiple Regression Analysis, the result shows that generally, Islamic banking affects economic growth in Indonesia.

Pooling of Time Series and Cross Section Data

Econometrica ◽  
1969 ◽  
Vol 37 (3) ◽  
pp. 552
Author(s):  
V. K. Chetty
Keyword(s):  
Time Series ◽  
Cross Section ◽  
Cross Section Data ◽  
Section Data

Time is Not A Theoretical Variable

2010 ◽  
Vol 18 (3) ◽  
pp. 293-294 ◽  
Author(s):  
Nathaniel Beck
Keyword(s):  
Time Series ◽  
Cross Section ◽  
Duration Dependence ◽  
Cross Section Data ◽  
Section Data ◽  
Data Analyst ◽  
Binary Time Series ◽  
Simple Cubic ◽  
Cubic Polynomial

Carter and Signorino (2010) (hereinafter “CS”) add another arrow, a simple cubic polynomial in time, to the quiver of the binary time series—cross-section data analyst; it is always good to have more arrows in one's quiver. Since comments are meant to be brief, I will discuss here only two important issues where I disagree: are cubic duration polynomials the best way to model duration dependence and whether we can substantively interpret duration dependence.

scholarly journals ANALISIS PENGARUH SOSIAL EKONOMI TERHADAP PENGELOLAAN SAMPAH DI SUMATERA BARAT (STUDI KASUS DAERAH PERKOTAAN)

2020 ◽  
Vol 2 (1) ◽  
pp. 107
Author(s):  
Nesyana Dewi ◽  
Melti Roza Adry
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Waste Management ◽  
Cross Section ◽  
Urban Areas ◽  
Secondary Data ◽  
Cross Section Data ◽  
Income Per Capita ◽  
Section Data ◽  
Per Capita

This study aims to determine the effect of education, income per capita, age and knowledge on waste management in urban areas West Sumatera. This study uses secondary data in the form of cross section data of urban West Sumatera. Data obtained from BPS- Susenas West Sumatera. This study uses logistic regression analysis. The result of this study indicate that (1) education has not significant effect on waste management in urban areas West Sumatera (2) income per capita has not significant effect on waste management  in urban areas West Sumatera (3) age has not significant effect on waste management in urban areas West Sumatera (4) knowledge has a significant effect on waste management in urban areas West Sumatera

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 Determinan Pengangguran Terdidik Lulusan Universitas di Pulau Jawa

2021 ◽  
Vol 10 (3) ◽  
pp. 178-187
Author(s):  
Leni Anjarwati ◽  
Whinarko Juliprijanto
Keyword(s):  
Time Series ◽  
Data Analysis ◽  
Cross Section ◽  
Quantitative Methods ◽  
Negative Impact ◽  
Positive Impact ◽  
Panel Data Analysis ◽  
Series Data ◽  
Cross Section Data ◽  
Section Data

This study aims to determine the factors that influence educated unemployment in Java. The data used in this study is secondary data using quantitative methods. Data analysis uses panel data analysis which is a combination of time series and cross-section data. The time-series data uses data for the 2015-2019 period and cross-section data from 6 provinces on the island of Java. The results showed that simultaneously all variables had a significant effect on the level of educated unemployment. While partially shows that the variable level of education and PMDN have a significant positive impact on educated unemployment, and the UMR variable has a significant negative impact on educated unemployment.

scholarly journals Faktor penentu indeks pembangunan manusia dan hubungannya dengan belanja infrastruktur serta pertumbuhan ekonomi Kabupaten/Kota Provinsi Jambi

2021 ◽  
Vol 16 (2) ◽  
pp. 343-358
Author(s):  
Herinoto Herinoto ◽  
M. Rachmad R ◽  
Zulfanetti Zulfanetti
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Regression Analysis ◽  
Panel Data ◽  
Correlation Analysis ◽  
Cross Section ◽  
Human Development Index ◽  
Secondary Data ◽  
Simple Correlation ◽  
The Relationship

This study aims to analyze the factors that determine the Human Development Index (HDI), to analyze the relationship between HDI and infrastructure spending, and to analyze the relationship between infrastructure spending and economic growth in districts/cities in Jambi Province. The data used in this study are secondary data with the type of Time Series 2012-2018 and Cross Section 11 districts/cities. This study uses Panel Data Multiple Regression Analysis and Simple Correlation Analysis using the E-views 10 tool. The results of this study indicate that the HDI of districts/cities in Jambi Province increases every year, partially the ratio of teachers to students, number of health facilities, and density. The population has a positive and significant effect in determining HDI. While the poverty factor has a negative but not statistically significant effect in determining the HDI of districts/cities in Jambi Province with an R-Square value of 0.9312. The relationship between HDI and infrastructure spending has a negative and insignificant effect, which means that an increase in infrastructure spending will increase the decrease in the value of HDI. The relationship between growth spending and economic growth has a positive and significant effect, which means that an increase in the value of infrastructure spending will increase the value of economic growth.  

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