scholarly journals IMPACT OF GOVERNMENT FISCAL SPACE AND MANPOWER TO THE GROSS DOMESTIC PRODUCTS OF INDONESIA PERIOD 1990-2015

2018 ◽  
Vol 3 (1) ◽  
pp. 20
Author(s):  
Tria Enjarwati
Keyword(s):  
Gross Domestic Product ◽  
Least Squares ◽  
Time Series Data ◽  
Least Squares Method ◽  
Least Square ◽  
Domestic Product ◽  
Series Data ◽  
Ordinary Least Square ◽  
Fiscal Space ◽  
Labour Absorption

To purpose of this study was to examine and analyze the effect of fiscal space and labour absorption to Indonesia Gross Domestic Product (GDP) within period 1990-2015. This study uses the least squares method or Ordinary Least Square (OLS) with time series data. Variables used in this study is the Gross Domestic Product (GDP) as the dependent variable, whereas for independent variables using the fiscal space and labour absorption. The results of regression calculations using the least squares method or Ordinary Least Square (OLS) in this study indicate that the fiscal space variable has a positive significant effect, and labour absorption variable has a positive significant effect to indonesia Gross Domestic Product (GDP).

scholarly journals PENGARUH NISBAH BAGI HASIL, PRODUK DOMESTIK BRUTO, SUKU BUNGA DEPOSITO DAN INFLASI TERHADAP SIMPANAN MUDHARABAH DI PERBANKAN SYARIAH INDONESIA PERIODE 2004.1­2009.2

Media Ekonomi ◽  
2017 ◽  
Vol 18 (1) ◽  
Author(s):  
Nurjanah Nurjanah ◽  
Sumiyarti Sumiyarti
Keyword(s):  
Interest Rate ◽  
Gross Domestic Product ◽  
Time Series Data ◽  
Profit Sharing ◽  
Least Square ◽  
The Other ◽  
Domestic Product ◽  
Series Data ◽  
Main Determinant ◽  
Ordinary Least Square

<span><span><em>This study focused on examination impact of Profit Sharing Ratio (NSM) to Mudharabah</em><br /><span><em>savings in Indonesia Syariah Bank. The model used in this study is the Multiple Linear</em><br /><span><em>Regression OLS methods (Ordinary Least Square) with the time series data in period</em><br /><span><em>2004.1-2009.2. But in this model, we also considerd Gross Domestic Product (PDB), Deposit</em><br /><span><em>Interest Rate (RSK), and Inflation (INF) as control variables. The results of the research</em><br /><span><em>are variables of Profit Sharing Ratio (NSM), Deposit Interest Rate (RSK) and Inflation</em><br /><span><em>(INF) are affected not statistically affected Mudharabah Savings. The other side, the</em><br /><span><em>variable of Gross Domestic Product (GDP) statistically affects Mudharabah Savings. The</em><br /><span><em>interest of people on Mudharabah Savings is not because of the Profit Sharing Ratio that</em><br /><span><em>become the main determinant in Mudharabah Saving but of the more Islamic System.</em></span></span></span></span></span></span></span></span></span><br /></span></span>

scholarly journals ECONOMETRIC MODELING OF THE ECONOMY OF LATVIA

2013 ◽  
Vol 1 (5) ◽  
pp. 167
Author(s):  
Iveta Mietule ◽  
Gajane Gukasjan
Keyword(s):  
Gross Domestic Product ◽  
Least Squares ◽  
Structural Equation ◽  
Time Series Data ◽  
Domestic Product ◽  
Series Data ◽  
Two Stage ◽  
Endogenous Variables ◽  
Two Stage Least Squares ◽  
The Government

The article is devoted to the estimation of econometric models of the Latvian economy. The Klein's simplified macroeconomic model of the Latvian economy is discussed. The endogenous variables are consumption, net investment, gross domestic product (excluding net exports and additions to reserves). An exogenous variable is the government spending. The model is just-identified, and Two-stage least squares (2SLS) method provides consistent estimates of the parameters of a structural equation. The modified Keynеsian model was also considered, where the lagged variable - gross domestic product of the previos period is presented. It is proved that the model is over-identified, and the Two-stage least squares (2SLS) method provides estimates of the parameters of a structural equation. We have estimated the models with annual time-series data of the Latvia economy for the years 1995 through 2011 (at basic prices in 2000).

scholarly journals Analysis the Effect of Money Supply and Third-Party Funds to the Inflation Rate through Gross Domestic Product in Indonesia Period 2008-2017

2021 ◽  
Vol 58 (1) ◽  
pp. 463-473
Author(s):  
Anas Iswanto Anwar, Asma Inawahyuni, Sri Undai Nurbayani
Keyword(s):  
Gross Domestic Product ◽  
Money Supply ◽  
Inflation Rate ◽  
Time Series Data ◽  
Secondary Data ◽  
Least Square ◽  
Third Party ◽  
Domestic Product ◽  
Series Data ◽  
Valid Data

The objective of this research is to determine the effect of money supply and third-party funds to the inflation rate through Gross Domestic Product (GDP) in Indonesia. The type of data is secondary data. This research used time series data from 2008 to 2017 from various valid data source.The data then were analyzed by multiple regressionswith Two-Stage Least Square (2SLS) approach processed byEviews 9.0.According to resultsanalysis of this study, there is a positive and significant effect between money supply and third-party funds to GDP directly. Partially, it is found that money supply has no significant effect to inflation through GDP and Third-party funds have negative and significant effect to inflation through GDP.

scholarly journals ANALYSIS OF FACTORS AFFECTING THE VALUE OF EXPORT OF INDONESIAN COCOA BEANS IN 1996-2015

2019 ◽  
Vol 14 (1) ◽  
pp. 16
Author(s):  
Aditya Fajariskieyanto Hadi ◽  
Wahyu Agung Setyo
Keyword(s):  
Exchange Rate ◽  
Gross Domestic Product ◽  
Time Series Data ◽  
Least Square ◽  
Domestic Product ◽  
Series Data ◽  
Cocoa Beans ◽  
Domestic Production ◽  
Factors Affecting ◽  
International Price

The purpose of this research is to analyze the export value of Indonesian cocoa beans, using Ordinary Least Square (OLS). The dependent variable used in this research is the export value of Indonesian cocoa beans, while the independent variables are international price of cocoa beans, exchange rate rupiah to US$, domestic production of Indonesian cocoa beans and the Gross Domestic Product (GDP) using time series data from 1996-2015 (20 years). The result shows that the international price variable of cocoa beans has a positive and significant effect on the export value of Indonesian cocoa beans. The rupiah exchange rate against US $ has a negative and significant effect on the export value of Indonesian cocoa beans. Domestic production of Indonesian cocoa beans has a positive and significant effect on the export value of Indonesian cocoa beans. Gross Domestic Product (GDP) of the world has a positive and significant effect on the export value of Indonesian cocoa beans in 1996-2015.

scholarly journals Determinan dan Trend Kemiskinan di Kabupaten Wonosobo Provinsi Jawa Tengah

2020 ◽  
Vol 4 (1) ◽  
pp. 120
Author(s):  
Farida Nur Isnaini ◽  
Abdul Aziz Ahmad ◽  
Suharno Suharno
Keyword(s):  
Time Series Data ◽  
Secondary Data ◽  
Minimum Wages ◽  
Least Square ◽  
Domestic Product ◽  
Series Data ◽  
Ordinary Least Square ◽  
The Government ◽  
Observation Period

This study aims to analyze the effect of population, education, regional Minimum Wages, inflation, and Gross Regional Domestic Product on poverty and analyze poverty trends in Wonosobo Regency. This study uses secondary data in the form of time series data with an observation period of 2002-2017 and the research method is multiple linear regression with the Ordinary Least Square model. The analysis shows that education, regional minimum wages and gross regional domestic product have a negative and significant impact on poverty in Wonosobo Regency. Population growth, and inflation does not have a significant effect on poverty in Wonosobo Regency. In addition, the future poverty trend of Wonosobo Regency is negative. These findings imply the first need for skills and expertise training programs in improving the quality of education. Second, the government must increase regional minimum wages, so that people can meet their daily needs. The government needs to increase economic growth in all sectors of the economy by using its potential.

Taxation and Nigerian Economy: an Empirical Analysis

2021 ◽  
Vol 7 (4) ◽  
pp. 29-35
Author(s):  
Amah Cletus Okey
Keyword(s):  
Gross Domestic Product ◽  
Time Series Data ◽  
Value Added ◽  
Least Square Method ◽  
Least Square ◽  
Domestic Product ◽  
Series Data ◽  
Regression Result ◽  
Value Added Tax ◽  
Independent Variables

The study was carried out to investigate the effect of Nigerian taxation system on Nigerian economy. The study anchored on benefit received theory of taxation as it theoretical framework. The study covered a period of 18 years (1999-2017). Time series data extracted from Central Bank of Nigeria Statistical Bulletin and Federal Inland Revenue Service for the various years was used for the study. Ordinary Least Square method of regression was adopted for data analysis. The independent variables are Value Added Tax (VAT), Petroleum Profit Tax (PPT), and Company Income Tax (CIT) while Gross Domestic Product (GDP) is the dependent variable. The regression result revealed that there is a significant positive relationship between the independent variables (PPT, CIT) and Gross Domestic Product. However the relationship between Value Added Tax and Gross Domestic Product is negative. It is recommended that government should provide enabling environment for companies to generate more revenues. Government should also reduce the VAT rate to encourage consumption of certain goods.

PENGARUH PENANAMAN MODAL ASING, PERDAGANGAN INTERNASIONAL, GDP PER KAPITA, SEKTOR PERTANIAN, DAN URBANISASI TERHADAP PENDUDUK BEKERJA DI INDONESIA

2017 ◽  
Vol 21 (2) ◽  
pp. 85-95
Author(s):  
John Marcell Rumondor
Keyword(s):  
International Trade ◽  
Gross Domestic Product ◽  
Foreign Investment ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Least Square ◽  
Domestic Product ◽  
Working Population ◽  
Ordinary Least Square ◽  
Per Capita

This research aims to understand the influenceof foreign investment, international trade, Gross Domestic Product per capita, agriculture and urbanization of the working population. Country used as an object in this research is Indonesia. This research uses the method of analysis Ordinary Least Square (OLS) and the multiple linear regression analysis method. Research period are from 1997 – 2012. The results showed that the international trade, Gross Domestic Product per capita, agriculture and urbanization have significantpositive influenceon the population work in Indonesia, but foreign investment has no significanteffect on the working population in Indonesia.

scholarly journals Import Flows of Bangladesh: Gravity Model Approach under Panel Data Methodology

2012 ◽  
Vol 60 (2) ◽  
pp. 153-157 ◽  
Author(s):  
Mili Roy ◽  
Md. Israt Rayhan
Keyword(s):  
Panel Data ◽  
Gravity Model ◽  
Cross Section ◽  
Time Series Data ◽  
Random Effect ◽  
Least Square ◽  
Series Data ◽  
Ordinary Least Square ◽  
Extended Gravity ◽  
Trading Partners

In counterpoint to export growth, Bangladesh import growth has remained much less strong, despite impressive progress in import liberalization. This study gives an overview of different methodologies related to gravity model analysis in Bangladesh’s import flow. A pooled cross section and time series data were analyzed to incorporate the country specific heterogeneity in country pair trading partners. The import flows are justified by the basic gravity model since Bangladesh’s imports are positively significant by the economy size and inversely related to trade barrier. Accordingly, we have analyzed pooled ordinary least square, fixed effect, random effect. This study also explores extended gravity model using several variables in the light of gravity model panel data approach. Bangladesh’s import is determined by the home and foreign country’s gross domestic product and exchange rate. In addition, Cross section results show that regional trade arrangement which is South Asian Association for Regional Co-operation and border are significant for Bangladesh’s importimplies that Bangladesh should import more from intra regional country and also should import from India.DOI: http://dx.doi.org/10.3329/dujs.v60i2.11485 Dhaka Univ. J. Sci. 60(2): 153-157, 2012 (July)  

scholarly journals PERAMALAN PRODUK DOMESTIK BRUTO (PDB) SEKTOR PERTANIAN, KEHUTANAN, DAN ‎PERIKANAN MENGGUNAKAN SINGULAR SPECTRUM ANALYSIS (SSA)

2019 ◽  
Vol 8 (1) ◽  
pp. 68-80
Author(s):  
Desy Tresnowati Hardi ◽  
Diah Safitri ◽  
Agus Rusgiyono
Keyword(s):  
Gross Domestic Product ◽  
Spectrum Analysis ◽  
Time Series Data ◽  
Seasonal Pattern ◽  
Singular Spectrum Analysis ◽  
Domestic Product ◽  
Series Data ◽  
Percentage Error ◽  
Singular Spectrum ◽  
Tracking Signal

Forecasting is the process of estimating conditions in the future by testing conditions from the past. One of the forecasting methods is Singular Spectrum Analysis (SSA) which aim of SSA is to make a decomposition of the original series into the sum of a small number of independent and interpretable components such as a slowly varying trend, oscillatory components and a structureless noise. Gross Domestic Product data in the agriculture, forestry, and fisheries sector are time series data with trend and seasonal pattern so that it can be processed using the SSA method. The forecasting process of SSA method uses the main parameter (L) of 21 obtained by the Blind Source Separation (BSS) method. From forecasting, acquired group of 3 groups. Forecasting resulted the value of Mean Absolute Percentage Error (MAPE) is 1.59% and the value of tracking signal is 2.50, which indicates that the results of forecasting is accurate. Keywords: Forecasting, Gross Domestic Product in the agriculture, forestry, and fisheries sector, Singular Spectrum Analysis (SSA)

scholarly journals An Examination Into the Causal Links Among Inward FDI Determinants: Empirical Evidence From Jordan

2021 ◽  
Vol 12 (2) ◽  
pp. 195
Author(s):  
Mohamed Ibrahim Mugableh
Keyword(s):  
Gross Domestic Product ◽  
Time Series Data ◽  
Trade Openness ◽  
Vital Role ◽  
Domestic Product ◽  
Series Data ◽  
Foreign Direct Investments ◽  
Vector Error Correction ◽  
Long Span ◽  
Foreign Policies

This paper examined the causal links between inward foreign direct investments (FDI) and its determinants (i.e., gross domestic product, education, trade openness, infrastructure, and technological abilities) for Jordan over (the period 1980 – 2018). The paper used vector error correction model. The results of the study considered that gross domestic product, trade openness, education, infrastructure, and technological abilities are primary engine of inward FDI in (long term and short term). Thus, the results have vital role for the policy makers in Jordan to formulate domestic and foreign policies. This study relied on three essential parts. Firstly, FDI is a significant source of capital that promotes economic growth. Secondly, the question of what are the leading drivers of FDI remains inadequate in the literature. Finally, this research adds to the literature by using different econometrics techniques and long span of yearly time series data. 

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