scholarly journals Determinants of Inflation in Palestine

2018 ◽  
Vol 1 (3) ◽  
pp. 68-93
Author(s):  
Bahaaeddin Alareeni ◽  
Nariman Qdeh ◽  
Mohammed Lulu
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Exchange Rate ◽  
Interest Rate ◽  
Unemployment Rate ◽  
Inflation Rate ◽  
Gaza Strip ◽  
Economic Growth Rate ◽  
Inflation Rates ◽  
Palestinian Economy

This study aimed at identifing the most important determinants and economic factors affecting inflation rates in the Palestine during the period (2000-2014), in order to help in reducing its effects on the Palestinian economy. The descriptive and analytical approach was used, by selecting a set of variables that were expected to have an impact on the inflation rates in the Palestinian economy, as these factors were such as economic growth rate, interest rate, exchange rate, unemployment rate, money supply, wages, inflation rate in Israel, and the global inflation rate. Two statistical models were developed for West Bank and Gaza Strip separately, based on quarter time series data for determinants of inflation in the Palestinian economy for the period from 2000-2014. The results showed the significatnt impact of: (the exchange rate, the Israeli inflation rate, the economic growth rate) on the inflation rate in the West Bank. In addition, it showed the significant effect of: (global inflation rate, unemployment rate, the economic growth rate) on the inflation rate in Gaza Strip. The other variables: credit facility, wage rate and interest rate were statistically insignificant. In light of this, the study recommended the necessity of issuing a national currency to reduce the losses of the Palestinian economy due to the absence of the national currency, as well as the pressure of imports and trying to find local alternatives by supporting the national product, as well as the need to review trade and economic policies between the Palestinian Authority and Israel to serve the development of the Palestinian economy.

scholarly journals Stress Testing of Banking Systems: an examination against the Shocks of Macroeconomic Variables

2021 ◽  
Vol 9 (SPE1) ◽  
Author(s):  
Kamiar Askari ◽  
Fatemeh Sarraf ◽  
Roya Darabi ◽  
Fatemeh Zandi
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Exchange Rate ◽  
Unemployment Rate ◽  
Inflation Rate ◽  
Gdp Growth ◽  
Economic Growth Rate ◽  
Macroeconomic Variables ◽  
Gdp Growth Rate ◽  
Default Rates

In the past years, overdue due receivables of the banks have increased in an unprecedented way compared to all the facilities granted in Iran’s banking network, showing the not very acceptable quality of bank assets that decrease the bank credit and make them financially unstable. The macroeconomic variables in this article are as follow: GDP growth rate, economic growth, exchange rate, inflation rate, unemployment rate, government debt. The decrease in this amount of arrears shows the ability of banks to maintain their resources. At this research, after identifying the macroeconomic variables affecting the default of banks using the stress test and applying one standard deviation with the help of the historical scenario, the study examined the banks’ resilience to the shocks of these variables from 2006 to 2019. The results indicated that the shock of the economic growth rate had the greatest effect. In other words, the decrease in the economic growth rate had the greatest effect on the increase of borrowers’ default rates. In addition to this, shocks of economic growth and government debt have highly effect on the borrowers’ default rates and inflation rate, unemployment rate, GDP growth rate and exchange rate have a significant impact upon borrowers’ default rates.

scholarly journals Factors affecting stock market index volatility: Empirical study

2021 ◽  
Vol 10 (3) ◽  
pp. 169-176
Author(s):  
Mohammed Ali Al-Rimawi ◽  
Thair Adnan Kaddumi
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Interest Rate ◽  
Stock Market ◽  
Foreign Investment ◽  
Inflation Rate ◽  
Market Price ◽  
Economic Growth Rate ◽  
Macroeconomic Variables ◽  
The Impact

How is stock market price volatility affected, and what is the nature of the impact that macroeconomic variables do on the stock market price direction? The main objective of this study is to investigate the impact of some selected macroeconomic variables (inflation rate (INR), interest rate (IR), economic growth rate (EGR), and foreign investment (FI)) on Amman Stock Exchange (ASE) fluctuation for the period 1999–2018. The information is based on the annual data published by industrial companies listed at ASE. The study adopted a descriptive-analytical approach, also simple and multiple linear regression analysis was employed for the mentioned purpose (Nurfadilah & Samidi, 2017). The results revealed that there is no statistically significant impact of INR, IR, EGR, and FI collectively on ASE performance (Niewińska, 2020). Individually, the results indicated that there is a statistically significant impact of all variables (INR, IR, EGR, and FI) on ASE performance. Additionally, the results concluded that foreign investment, portrayed the highest impact factor on ASE performance, followed by a change in average interest rate, then inflation rate, and the least impact attributes to the economic growth rate. Finally, the research recommends that Jordanian banks should reduce the lending interest rate to enhance investment in securities and improve economic growth rate, also Jordanian authorities should encourage foreign direct and indirect investment and make more efforts to attract more foreign investment, either in the form of tax incentives or by extending finance at low-interest rates.

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 Usage of Economic Position in Understanding Indonesia’s Economy and the Pandemic Effects

2021 ◽  
Vol 10 (2) ◽  
pp. 91-105
Author(s):  
Kiki Verico
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Financial Crises ◽  
Inflation Rate ◽  
Aggregate Demand ◽  
Descriptive Data ◽  
Economic Growth Rate ◽  
Global Pandemic ◽  
Economic Position ◽  
Rate Comparison

Before the global pandemic hit the economy in 2020, Indonesia had experienced two contractions in 1963 and 1998. These contractions come with hyperinflation, while the recent contraction of 2020 has not. This paper attempts to analyse the C-19 pandemic 2020 effects on the economy, which generates contraction but has a low inflation rate. On the opposite, the Asian Financial Crises (AFC) of 1998 caused negative economic growth andskyrocketing inflation. This paper applied descriptive data analysis and showed that the AFC affected the aggregate supply while the pandemic impacted the aggregate demand. This paper offers the usage of the proportion of inflation rate and economic growth rate and the annual sectoral growth rate comparison to describe Indonesia’s economic position and the pandemic effects.

scholarly journals PENGARUH VARIABEL MAKRO EKONOMI TERHADAP PERTUMBUHAN EKONOMI INDONESIA TAHUN 2015-2019

2021 ◽  
Vol 2 (2) ◽  
pp. 88-99
Author(s):  
Feby Kinanda
Keyword(s):  
Economic Growth ◽  
Exchange Rate ◽  
Unemployment Rate ◽  
Trade Balance ◽  
Inflation Rate ◽  
Short Term ◽  
Negative Effect ◽  
The Exchange Rate ◽  
Positive Effect

This study aims to analyze the effect of macroeconomic variables including the open unemployment rate, trade balance, inflation rate and the rupiah exchange rate against the dollar on Indonesian economic growth by using the ECM error correction model approach to see the long-term and short-term relationships that influence macro variables on economic growth. , in the long term the open unemployment rate variable, the trade balance, the inflation rate have a negative effect while the exchange rate has a positive effect, while in the short term the open unemployment rate, the inflation rate and the exchange rate have a negative effect while the trade balance has a positive effect.   Keywords: Economic Growth, Open Unemployment Rate, Trade Balance, Inflation, Exchange Rate

scholarly journals The Effect of Government Bonds, Inflation, And Exchange Rate in Achieving SDGs

2021 ◽  
Vol 5 (2) ◽  
pp. 119-135
Author(s):  
Muhammad Rafi Bakri ◽  
Anastasya Utami
Keyword(s):  
Economic Growth ◽  
Exchange Rate ◽  
Exchange Rates ◽  
Path Analysis ◽  
Indirect Effect ◽  
Inflation Rate ◽  
Coefficient Of Determination ◽  
Government Bonds ◽  
Inflation Rates ◽  
The Government

This study aims to examine the effect of bonds, inflation rates, and exchange rates on economic growth to achieve Indonesia's 2030 sustainable development goals, namely reducing government and poverty. This study uses a quantitative regression analysis method with a path analysis approach to determine the direct or indirect effect between variables. The variables used are published values, inflation, exchange rates, economic growth, poverty rates, and poverty in Indonesia in 2016-2020. Based on the path analysis, the coefficient of determination of 60.72% indicates that the diversity of the data of 60.72% can be explained in the model. Government Bonds have a direct and significant effect on the economic growth of -1,243. Government obligations indirectly affect the level of movement and mission of 1,098 and 1,128, respectively. The inflation rate directly affects the rate of economic growth of 0.712. The inflation rate has no direct effect on the movement level and poverty of -0.6294 and -0.6644. The exchange rate has no significant direct or indirect effect on economic growth, movement, and poverty. This study concludes that the government needs to control inflation and inflation so that the economy can be achieved and reduce inflation and poverty. Keywords: Government Bond, Inflation Rate, Exchange Rate, Economic Growth, SDG’s

scholarly journals Government borrowing as a Ponzi scheme: the case of Bangladesh

2021 ◽  
Vol 10 (1) ◽  
pp. 81-86
Author(s):  
Syed Yusuf Saadat
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Interest Rate ◽  
Real Interest Rate ◽  
Government Debt ◽  
Economic Growth Rate ◽  
The Real ◽  
Ponzi Scheme ◽  
The Government

This study investigates whether government borrowing can be likened to a Ponzi scheme which will allow the government to roll-over its debt perpetually. The results show that, on the basis of the condition of maintaining real economic growth rate above and beyond the real interest rate on government debt, it will not be possible to sustain a perpetual Ponzi scheme of all four types of National Savings Certificates in Bangladesh. The government’s debt may be rolled over perpetually for two types of National Savings Certificates, following the condition outlined in Ball, et al. (1998), or for three types of National Savings Certificates following the condition outlined in Mehrotra (2017). 

scholarly journals DAF Determinants Affecting Economic Growth – Evidence for Western Balkans Countries

2020 ◽  
Vol 9 (1) ◽  
pp. 36-46
Author(s):  
Esat Ali Durguti ◽  
Emine GASHI ◽  
Filloreta Demiri Kunoviku ◽  
Milaim Mehmeti
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Foreign Direct Investment ◽  
Panel Data ◽  
Direct Investment ◽  
Inflation Rate ◽  
Secondary Data ◽  
Gdp Growth ◽  
Western Balkans ◽  
Economic Growth Rate

The purpose of this paper is to find out if selected determinants have any effect on the economic growth rate using the strong balanced panel data for the Western Balkan countries for the period 2001-2017, and the data used are on an annual basis, which in total there are 102 observation periods. For the realization of the paper, secondary data and an advanced dynamic approach were used, such as pooled OLS methods, fixed and random effects model, to test economic growth rate as dependent variable, and explanatory variables such as working remittances to GDP, exports to GDP, imports to GDP, foreign direct investment to GDP and inflation rate.  From the generated outputs, it is true to say that working remittances to GDP, exports to GDP, and imports to GDP have an effect that influences economic growth, respectively GDP growth. Even though foreign direct investment to GDP and inflation rate does not have a significant effect on economic growth, respectively GDP growth.   Keywords: Economic growth; macroeconomic determinants; panel data. JEL code: O47, O11, C23  

scholarly journals Analisis Perubahan Nilai Tukar Rupiah Akibat Peningkatan Inflasi, Tingkat Suku Bunga SBI dan Pertumbuhan Ekonomi (Studi Pada Bank Indonesia Periode 2008 – 2017)

2021 ◽  
Vol 23 (1) ◽  
pp. 20
Author(s):  
Mirna Herawati
Keyword(s):  
Economic Growth ◽  
Exchange Rate ◽  
Interest Rate ◽  
Regression Model ◽  
Interest Rates ◽  
Direct Relationship ◽  
Inflation Rate ◽  
Rate Coefficient ◽  
Independent Variables ◽  
The Interest Rate

The purpose of this study was to determine the simultaneous effect of the inflation rate, interest rates and economic growth on the rupia exchange rate. This study also examines the partial effect of the inflation rate on the rupia exchange rate, finds the effect of interest rates on the rupia exchange rate, and economic growth on the rupia exchange rate. The research method used in this study is a quantitative method. The data source used is secondary data in the form of a Time Series. Time-series data is data that is collected over a specified period / period of time. The data collection technique used in this research is the documentary method taken from the Central Bureau of Statistic's data. From the calculation of the F value it is known that 0.00467 < 0.050, so there is a simultaneous influence of the inflation rate, interest rate and economic growth variables on the Rupiah exchange rate. The regression equation is Y = . The inflation rate coefficient for variable X1 is 0.009 and positive. This shows that the inflation rate has a direct relationship with the Rupiah exchange rate. This means that every time one unit of inflation increases, the beta variable (Y) of the rupia exchange rate will also increase by 0.009 with the assumption that other independent variables from the regression model have been corrected. The value of the interest rate coefficient for variable X2 is -0.02 and is negative. This indicates that the interest rate has a direct relationship with the Rupiah exchange rate. This means that each time the interest rate increases by one unit, the beta (Y) variable of the rupia exchange rate will decrease by 0.02 assuming that the other independent variables of the regression model have been corrected. If the value of economic growth (X3) increases one point, then the Y value will decrease by 0.06, assuming that the other independent variables of the regression model are fixed.Keywords: Inflation rate, interest rate, economic growth, rupia exchange rate

scholarly journals PEMODELAN INDEKS PEMBANGUNAN MANUSIA PROVINSI JAWA BARAT, JAWA TIMUR DAN JAWA TENGAH TAHUN 2019 DENGAN MENGGUNAKAN METODE REGRESI LOGISTIK ORDINAL

2021 ◽  
Vol 10 (1) ◽  
pp. 149-158
Author(s):  
Meylita Sari ◽  
Purhadi Purhadi
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Logistic Regression ◽  
Unemployment Rate ◽  
Classification Accuracy ◽  
Poverty Rate ◽  
Ordinal Logistic Regression ◽  
Predictor Variables ◽  
Clean Water ◽  
Economic Growth Rate

Ordinal logistic regression is one of the statistical methods to analyze response variables (dependents) that have an ordinal scale consisting of three or more categories. Predictor variables (independent) that can be included in the model are category or continuous data consisting of two or more  variables. Human Development Index (HDI) is an indicator of the success of human development in a region and can be categorized into medium, high and very high. Based on the further categorization, in this study would like to know more about the HDI model using the Ordinal Logistic Regression method, with predictor variables that are suspected to affect, so that it is obtained in West Java Province is influenced by variable poverty rates and clean water sources with a classification accuracy value of 77.78%, Central Java Province is influenced by variable economic growth rate based on constant price GDP, poverty rate and open unemployment rate with a classification accuracy value of 82.85%. East Java province is influenced by variable poverty rate and open unemployment rate with a classification accuracy value of 76.31%. As well as in the three provinces in Java Island is influenced by variable economic growth rate, variable poverty rate, variable clean water source with a classification accuracy value of 73%. Keywords : Ordinal Logistic Regression, HDI, Classification Accuracy

Sign in / Sign up

Export Citation Format

Share Document