scholarly journals Impact of Inflation and Unemployment on Economic Growth of Pakistan

2021 ◽  
Vol 6 (4) ◽  
pp. 282-288
Author(s):  
Muhammad Ramzan
Keyword(s):  
Economic Growth ◽  
Diagnostic Tests ◽  
Regression Models ◽  
Error Term ◽  
Least Square ◽  
Linear Regression Models ◽  
Ordinary Least Square ◽  
White Test ◽  
Multiple Linear Regression Models

This paper aims to identify the influence of inflation and unemployment on the economic growth of the country. This study recommends some essential policies about unemployment and inflation in the economic growth of Pakistan. In this study, the “Ordinary Least Square (OLS)” method is used with different diagnostic tests for determining the fitness of data for the investigation; and the data is collected from 1980 to 2018. The econometric results suggest that the time series is stationary because the values of t-statistic are more than t-tab and sig value is also significant. The error term on ADF is significant and that ensures that there is long term association. The results of ECM indicate that inflation and unemployment are away from the value of equilibrium. The results of multiple linear regression models indicate that inflation and unemployment are statistically insignificant, and the overall model is also statistically insignificant. There is no multicollinearity and there is no heteroscedasticity as per White test. By running the Ramsay Reset test, the researcher concludes that the model is not specified because the sig value of the t-test and f-test is significant.

scholarly journals Impor gandum Indonesia dan faktor-faktor yang Mempengaruhinya

2019 ◽  
Vol 7 (2) ◽  
pp. 101-112
Author(s):  
Gita Wulandari ◽  
Siti Hodijah ◽  
Yohanes Vyn Amzar
Keyword(s):  
Gross Domestic Product ◽  
Interest Rates ◽  
Regression Models ◽  
Total Population ◽  
Secondary Data ◽  
Least Square ◽  
Domestic Product ◽  
Linear Regression Models ◽  
Ordinary Least Square ◽  
Multiple Linear Regression Models

This study aims: 1) to analyze the development of wheat import volume, gross domestic product (GDP), inflation, investment credit interest rates, and population of Indonesian wheat imports. 2) to analyze the effect of gross domestic product, inflation, investment interest rates on Indonesian wheat imports. This study is a descriptive study and the types of data used in this study are secondary data in the form of gross domestic product, inflation, investment credit interest rates, and population for the last 18 years (2000-2017). The data obtained were processed using SPSS 20 with multiple linear regression models using the Ordinary Least Square (OLS) method. The results of this study indicate that the gross domestic product (GDP) obtained a significant level of 0.03, inflation obtained a significant level of 0.598, and the total population obtained a significant level of 0.522. The regression results show that partially only the variable gross domestic product (GDP) and interest rates are Investment credit interest has a significant effect on imports of Indonesian wheat, while inflation and population have no significant effect on imports of Indonesian wheat. Keywords: GDP, Inflation, Interest rates, Population

scholarly journals Contribution of changing precipitation and climatic oscillations in explaining variability of water extents of large reservoirs in Pakistan

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Ibrar ul Hassan Akhtar ◽  
H. Athar
Keyword(s):  
Water Availability ◽  
Regression Models ◽  
Precipitation Amount ◽  
Average Error ◽  
Linear Regression Models ◽  
Climatic Oscillations ◽  
Major Threat ◽  
Storage Reservoirs ◽  
Multiple Linear Regression Models

AbstractMajor threat that Pakistan faces today is water scarcity and any significant change in water availability from storage reservoirs coupled with below normal precipitation threatens food security of more than 207 million people. Two major reservoirs of Tarbela and Mangla on Indus and Jhelum rivers are studied. Landsat satellite’s data are used to estimate the water extents of these reservoirs during 1981–2017. A long-term significant decrease of 15–25% decade−1 in water extent is found for Tarbela as compared to 37–70% decade−1 for Mangla, mainly during March to June. Significant water extents reductions are observed in the range of −23.9 to −53.4 km2 (1991–2017) and −63.1 to −52.3 km2 (2001–2010 and 2011–2017) for Tarbela and Mangla, respectively. The precipitation amount and areas receiving this precipitation show a significant decreasing trend of −4.68 to −8.40 mm year−1 and −358.1 to −309.9 km2 year−1 for basins of Mangla and Tarbela, respectively. The precipitation and climatic oscillations are playing roles in variability of water extents. The ensuing multiple linear regression models predict water extents with an average error of 13% and 16% for Tarbela and Mangla, respectively.

scholarly journals Linear Regression Models Used for the Description of Long-Term Epizootic Process in Tuvinian Natural Plague Focus (Karginsk Mezofocus)

2012 ◽  
pp. 43-47
Author(s):  
N. A. Kol ◽  
A. F. Chul'dum ◽  
M. G. Rostovtsev ◽  
Yu. A. Kalush
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Regression Models ◽  
Stepwise Regression ◽  
Climatic Conditions ◽  
Linear Regression Models ◽  
Epizootic Process ◽  
Multiple Linear Regression Models

The results of modeling showed the dependence of epizootic activity in Tuvinian natural plague focus on climatic conditions (average monthly amount of precipitations in the current year and the preceding four years and temperatures in the current and the preceding three years). The multiple linear regression models were used to predict the activity of zoonosis development within a year. The models obtained by means of stepwise regression were most approximated to the natural zoonotic process. The amount of precipitations in winter months and temperature in spring and summer were of the greatest significance for epizootic activity.

scholarly journals Evaluation of the Long-Term Stability and Impact of Remittances and Development Aid on Sustainable Economic Growth in Developing Countries

2019 ◽  
Vol 11 (6) ◽  
pp. 1538 ◽  
Author(s):  
Robert Stojanov ◽  
Daniel Němec ◽  
Libor Žídek
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Regression Models ◽  
Development Aid ◽  
Linear Regression Models ◽  
Term Stability ◽  
Long Term Stability ◽  
Remittance Flows ◽  
Sustainable Economic Growth

In our paper, we analyse the long-term stability and impact of remittances and development aid on sustainable economic growth in developing countries. We use two data samples from countries that were recipients of both aid and remittances in the corresponding period. First, unbalanced data from the years 1970 to 2017; that is, how countries appear in the data. Second, balanced data, where we selected the largest possible set of countries for which data exists without gaps from the years 1970–2017. This dataset consists of 57 countries for the period from 1991 to 2017. Using linear regression models, we conclude that up until the end of the 1980s, the size of aid as a share of gross domestic product (GDP) was larger than the share of remittances. After that, the situation changed and the shares of both inflows were broadly similar. The inflow of remittances was more stable than the inflow of aid and development aid did not (on the contrary to remittances) contribute positively to sustainable economic growth if we consider the entire period between 1970 and 2017. Our results suggest that a statistically significant relationship between development aid and economic growth (per capita) may be observed only in the period from 1990 to 1999. Economic growth in developing countries is negatively influenced by the uncertainty related to the flows of official development assistance (ODA) and aid in all investigated decades. In the case of the remittance flows, the increased volatility tends to contribute negatively to sustainable economic growth only when the remittance flows represent a relatively higher share of GDP.

scholarly journals THE EFFECT OF HEALTH INFRASTRUCTURE DEVELOPMENT, EDUCATION, AND THE NUMBER OF POPULATIONS ON ECONOMIC GROWTH IN NORTH SUMATERA PROVINCE

2020 ◽  
Vol 8 (2) ◽  
Author(s):  
Mariyatul Kubtiyah Ritonga
Keyword(s):  
Economic Growth ◽  
Secondary Data ◽  
Least Square ◽  
Infrastructure Development ◽  
Linear Regression Models ◽  
Development Education ◽  
Ordinary Least Square ◽  
Health Infrastructure ◽  
North Sumatra ◽  
Positive Effect

Economic Growth in North Sumatera priod 2000 until 2012 shows the condition that increases continuously, but the increase did not have an impact on education, health. This study aimed to analyze the influence of the health infrastructure, education infrastructure and population to economic growth in the province of North Sumatra simultaneously and partially. The data used are secondary data from BPS in North Sumatra time series from 2000 till 2012. Data analysis was performed by using OLS (Ordinary Least Square) with a multiple linear regression models estimated with the help of the program Eviews 7. The results of this study showed that simultaneous variable health infrastructure, education infrastructure and population have a significant effect on economic growth in the province North Sumatra. While partially concluded that variable infrastructure and population health positive and significant effect; educational infrastructure but not significant positive effect on economic growth in the province of North Sumatra. The results of this study also showed that the most dominant variables to economic growth in the province of North Sumatra is the total population.

scholarly journals ANALISIS PENGARUH FUNGSI INTERMEDIASI PERBANKAN TERHADAP PERTUMBUHAN EKONOMI DI INDONESIA TAHUN 2008 - 2011

2013 ◽  
Vol 11 (2) ◽  
pp. 147
Author(s):  
. Anjarwati
Keyword(s):  
Economic Growth ◽  
Interest Rate ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Regression Models ◽  
Coefficient Of Determination ◽  
Test Results ◽  
Linear Regression Models ◽  
Independent Variables ◽  
Multiple Linear Regression Models

This study aims to analyze the development of intermediation to economic growth in Indonesia and a significant test whether or not the effect of intermediation on economic growth. From the test results obtained by the coefficient of determination (R2) for multiple linear regression models for 0.916. It means that the independent variables can explain the variation in the dependent variable 91.6% together, then variable t can be seen that variable Interest Rate Loans and lending have a significant effect on economic growth, It is proved that t-count > t-table. Lending to the variable (X1) 7,944 t > t table 2.026, and for variable Interest Rate Loans (X2) 4.521 t-count > t table 2.026. From the analysis has been conducted simultaneously indicates that those independent variables have a significant effect on economic growth, with simultaneous F test results are calculated F value > F 204.012> 3.25. it means that Ho is rejected.

scholarly journals THE EFFECT OF HEALTH INFRASTRUCTURE DEVELOPMENT, EDUCATION, AND THE NUMBER OF POPULATIONS ON ECONOMIC GROWTH IN NORTH SUMATERA PROVINCE

2019 ◽  
Vol 8 (2) ◽  
pp. 16
Author(s):  
Mariyatul Kubtiyah Ritonga ◽  
Anhar Fauzan Priyonob
Keyword(s):  
Economic Growth ◽  
Secondary Data ◽  
Least Square ◽  
Infrastructure Development ◽  
Linear Regression Models ◽  
Development Education ◽  
Ordinary Least Square ◽  
Health Infrastructure ◽  
North Sumatra ◽  
Positive Effect

Economic Growth in North Sumatera priod 2000 until 2012 shows the condition that increases continuously, but the increase did not have an impact on education, health. This study aimed to analyze the influence of the health infrastructure, education infrastructure and population to economic growth in the province of North Sumatra simultaneously and partially. The data used are secondary data from BPS in North Sumatra time series from 2000 till 2012. Data analysis was performed by using OLS (Ordinary Least Square) with a multiple linear regression models estimated with the help of the program Eviews 7. The results of this study showed that simultaneous variable health infrastructure, education infrastructure and population have a significant effect on economic growth in the province North Sumatra. While partially concluded that variable infrastructure and population health positive and significant effect; educational infrastructure but not significant positive effect on economic growth in the province of North Sumatra. The results of this study also showed that the most dominant variables to economic growth in the province of North Sumatra is the total population.

scholarly journals The Effect of Industrial Sector and Transportation Sector on CO2 Emissions In Indonesia

2021 ◽  
Vol 6 (1) ◽  
pp. 56
Author(s):  
Izmi Dwi Maharani Poetri
Keyword(s):  
Co2 Emissions ◽  
Environmental Quality ◽  
Carbon Dioxide Emissions ◽  
Regression Models ◽  
Industrial Sector ◽  
Least Square ◽  
Linear Regression Models ◽  
Ordinary Least Square ◽  
Transportation Sector ◽  
Positive Effect

<p><em>Environmental quality is an important aspect of life.</em><em> </em><em>This study aims to analyze the effect of industrial sector GDP and transportation sector GDP on environmental quality in terms of carbon dioxide emissions in Indonesia.</em><em> </em><em>This analysis uses multiple linear regression models with the Ordinary Least Square (OLS) method.</em><em> </em><em>The results of the analysis show that the GDP of the Industrial Sector has no significant effect on CO2 emissions, while Transportation GDP has a significant and positive effect on CO2 emissions, this is supported by the Environmental Kuznet Curve (EKC) theory.</em><em></em></p><p><strong><em> </em></strong></p><p><strong><em>Keywords</em></strong><em> : carbondioxyde emission, GDP of industry sector, GDP of transportation sector </em></p>

scholarly journals MULTIPLE REGRESSION : DETEMINANT ON PROFITABILITY AT ISLAMIC COMMERCIAL BANKS IN INDONESIA

2020 ◽  
Vol 1 (1) ◽  
pp. 21-30
Author(s):  
Dodi Tisna Amijaya ◽  
Siti Komariah
Keyword(s):  
Economic Growth ◽  
Commercial Bank ◽  
Commercial Banks ◽  
Regression Models ◽  
Sampling Method ◽  
Financial Statements ◽  
Islamic Banking ◽  
Linear Regression Models ◽  
Analysis Technique ◽  
Multiple Linear Regression Models

The Islamic financial system is potential to be a locomotive of the national economy and be able to overcome gaps.  One of them is Islamic banking which is increasingly developing in Indonesia. The development of Islamic banking is expected to increase economic growth.  For this reason, Islamic banking is needed which has a healthy financial performance. This study aims to analyze the effect of NPF, CAR, and FDR on Profitability at Islamic Commercial Banks. The data used in this study were obtained from Islamic commercial bank financial statements which are recorded in the OJK for 2015-2018. The population in this study is 14 Sharia Commercial Banks in Indonesia, and using the purposive sampling method, there are 12 bank samples which will be examined. The analysis technique used in this study is multiple linear regression models. The results showed that NPF, CAR and FDR had a significant effect on profitability.

FAKTOR DETERMINAN PENYALURAN KREDIT BANK PERSERO

2018 ◽  
Vol 23 (1) ◽  
pp. 60-71
Author(s):  
Wigiyanti Masodah
Keyword(s):  
Interest Rate ◽  
Linear Regression ◽  
Interest Rates ◽  
Regression Models ◽  
Linear Regression Models ◽  
Negative Impacts ◽  
Main Activity ◽  
The Impact ◽  
The Given ◽  
Multiple Linear Regression Models

Offering credit is the main activity of a Bank. There are some considerations when a bank offers credit, that includes Interest Rates, Inflation, and NPL. This study aims to find out the impact of Variable Interest Rates, Inflation variables and NPL variables on credit disbursed. The object in this study is state-owned banks. The method of analysis in this study uses multiple linear regression models. The results of the study have shown that Interest Rates and NPL gave some negative impacts on the given credit. Meanwhile, Inflation variable does not have a significant effect on credit given. Keywords: Interest Rate, Inflation, NPL, offered Credit.

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