AN ALTERNATIVE FRAMEWORK OF ESTIMATING INVESTMENT AND SAVING FUNCTIONS FOR DEVELOPING COUNTRIES: AN APPLICATION TO TIME-SERIES DATA FOR SUB-SAHARA AFRICAN COUNTRIES

1992 ◽  
Vol 6 (3) ◽  
pp. 49-74 ◽  
Author(s):  
M. O. ODEDOKUN
Keyword(s):  
Time Series ◽  
Developing Countries ◽  
Time Series Data ◽  
Series Data ◽  
African Countries ◽  
Alternative Framework

scholarly journals PENGARUH ZIS (ZAKAT, INFAK, SEDEKAH) DAN ZAKAT FITRAH TERHADAP PENURUNAN KEMISKINAN DI INDONESIA PERIODE 1998 - 2010

Media Ekonomi ◽  
2017 ◽  
Vol 20 (1) ◽  
pp. 83
Author(s):  
Jumadin Lapopo
Keyword(s):  
Time Series ◽  
Developing Countries ◽  
Regression Analysis ◽  
Poverty Reduction ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Analysis Model ◽  
Independent Variables

<p>Poverty is being a problem in all developing countries including Indonesia. Among goverment programs, poverty has become the center offattention in policy at both of the regional and national levels. Looking at thephenomenon of poverty, Islam present with solution to reduce poverty through Zakat. This study aims to analyze the effect of ZIS and Zakat Fitrah against poverty in Indonesia in 1998 until 2010, data used in this study is secondary data and uses time series data, for the dependent variabel is poverty and for independent variables are ZIS and Zakat Fitrah. The analysis tools used in this study is to use multiple regression analysis model and the assumptions of classical test using the software Eviews-4. In this study also concluded that the ZIS variables significantly affect to the reduction of poverty in Indonesia although the effect is very small. In the variable Zakat Fitrah not significantly affect poverty reduction in Indonesia because of the nature of Zakat Fitrah is for consumption and not for long-term needs. The results of this study can be used for the management of zakat to be able to develop the management and to get a better system for distribution of zakat so that the main purpose of zakat can be achieved to reduce poverty.<br />Keywords : Poverty, Zakat Fitrah, ZIS.</p>

scholarly journals A Time Series Analysis of China’s Foreign Direct Investment on Senegal’s Agriculture

2019 ◽  
pp. 1-11
Author(s):  
Galaye Ndiaye ◽  
Xu He Lian
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
African Countries ◽  
Agricultural Growth ◽  
High Productivity ◽  
Series Analysis ◽  
Rise Of China ◽  
Times Series Analysis

Since 2000 China has started to strengthen its agricultural co-operation with Africa in trade and other commercial activities. China has increased its agriculture investment in Africa, because of the rapid economic rise of China in many African developing countries. China's investment has developed and opened many opportunities against a backdrop of closer economic ties with many African countries and particularly in Senegal. The purpose of this study was to analyse the times series analysis impact of China's FDI in Senegal's agriculture. The study mainly used secondary data that are collected from the World Bank and IMF for 22 years between 1990 and 2012. The descriptive and econometric model was used to analyse the collected data. Although agricultural growth has increased in Senegal in recent years, food security remains a severe challenge. Despite international and local concerns, China's investment in Senegal in infrastructure and agricultural technology and training could facilitate agricultural growth in Senegal. A time series data is used to get the empirical results for our paper, and the estimation's results show that China's FDI is an important element in Senegal's agriculture will increase employment creation, high productivity, access to the finance and markets for smallholders, technology transfer enforcement of production standards, and farmers can access more to bank credit.

Has Social Mobilization Caused Political Instability in Africa? A Granger-Causality Test

1993 ◽  
Vol 22 (1) ◽  
pp. 33-54
Author(s):  
Bedford N. Umez
Keyword(s):  
Time Series ◽  
Granger Causality ◽  
Time Series Data ◽  
Political Instability ◽  
Granger Causality Test ◽  
Social Mobilization ◽  
Series Data ◽  
African Countries ◽  
Causality Test ◽  
Empirical Results

A Granger-causality test is used to examine whether social mobilization causes political instability. This test allows serious problems encountered in correlation-based analyses to be overcome. Time-series data from seven African countries are used. The empirical results (which vary by country) generally suggest that there is usually a feedback relationship between social mobilization and political instability.

scholarly journals PENGGUNAAN METODE ARIMA DALAM MERAMAL PERGERAKAN INFLASI

2017 ◽  
Vol 18 (1) ◽  
pp. 1-10
Author(s):  
Hartati Hartati
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Developing Countries ◽  
Time Series Data ◽  
Moving Average ◽  
Series Data ◽  
Autoregressive Integrated Moving Average

Inflation is a problem which haunts the economy of each country. Its development is which continually increasing make a drag on economic growth to a better direction. Inflation tends to occur in developing countries like Indonesia which is an agricultural country. To overcome the instability of inflation, one way to do is to predict the time series data. Methods Autoregressive Integrated Moving Average (ARIMA) has the ability to capture the necessary information about the wood as well as able to cope with the instability of inflation of inflation. This is because ARIMA is a method of forecasting time series are suited to predict the number of variables in a fast, simple, inexpensive, accurate, and only requires the data variables to be predicted. Inflasi merupakan suatu masalah yang menghantui perekonomian setiap negara. Perkembangannya yang terus-menerus mengalami peningkatan menjadi hambatan pada pertumbuhan ekonomi ke arah yang lebih baik. Perubahan laju inflasi cenderung terjadi pada negara-negara berkembang seperti halnya Indonesia yang merupakan negara agraris. Untuk menanggulangi terjadinya ketidakstabilan laju inflasi, salah satu cara yang dapat dilakukan adalah dengan meramalkan data time series. Metode Autoregressive Integrated Moving Average (ARIMA) memiliki kemampuan untuk menangkap informasi-informasi yang diperlukan mengenai laju inflasi serta mampu menanggulangi ketidakstabilan dari laju inflasi. Hal ini dikarenakan ARIMA merupakan suatu metode peramalan time series yang cocok digunakan untuk meramal sejumlah variabel secara cepat, sederhana, murah, dan akurat serta hanya membutuhkan data variabel yang akan diramal.

Oil Revenues and Export Earnings Instability: The Evidence from Iran

2015 ◽  
Vol 15 (3) ◽  
pp. 431-442
Author(s):  
Parviz Asheghian
Keyword(s):  
Time Series ◽  
Developing Countries ◽  
Time Series Data ◽  
Total Export ◽  
Series Data ◽  
Data Set ◽  
Price Variability ◽  
Oil Revenue ◽  
Earnings Instability ◽  
The Impact

As a member of OPEC, Iran is a nation that is dependent on petrodollars. More specifically, roughly 80 percent of total export earnings in Iran are generated from oil revenue. This in fact is one of the attributes of many developing countries in that their exports are concentrated in either one or a small number of primary products that contribute to the bulk of their foreign exchange revenues. Export instability occurs because export earnings tend to fluctuate annually to a greater extent for developing countries than for advanced countries. The factors that give rise to export instability can be classified as price variability and a high degree of commodity concentration. To date, no study has examined the impact of export instability in the highly oil-dependent Iran. This study develops a model and employs a forty-year annual time series data set to estimate the impact of commodity concentration and price variability in Iran. The estimation results obtained from the time-series model developed in this study does not support the conventional argument, regarding the positive correlation between commodity concentration and export instability. It also shows that fluctuations in petroleum export revenues have significant impact on total export earnings instability in Iran.

scholarly journals The Impacts of Interest Rate and Exchange Rate Volatilities on the Demand for Money in Developing Economies

2018 ◽  
Vol 10 (3) ◽  
pp. 56
Author(s):  
Felix S. Nyumuah
Keyword(s):  
Developing Countries ◽  
Exchange Rate ◽  
Interest Rate ◽  
Money Demand ◽  
Time Series Data ◽  
Developing Economies ◽  
Series Data ◽  
African Countries ◽  
Demand Functions ◽  
The Interest Rate

Volatilities in the interest rate and the exchange rate cause instability in money demand functions. This study investigates the effect of interest and exchange rates volatilities on money demand in developing countries using time series data of four African countries namely, Equatorial Guinea, Gambia, Nigeria and Uganda. The model used is a conventional log linear money demand function, with money demand specified as a function of income, interest rate, inflation rate, exchange rate, interest rate volatility and exchange rate volatility. The results show that on the whole the interest rate and exchange rate volatilities do not have significant effects on money demand in developing countries. However, the money demand functions of these economies prove unstable. These findings imply that the monetary authorities should resort to inflation targeting monetary policy and employ the interest rate as the policy instrument.

Graphical Exploratory Data Analysis for Categorical Longitudinal and Time Series Data

2013 ◽  
Author(s):  
Stephen J. Tueller ◽  
Richard A. Van Dorn ◽  
Georgiy Bobashev ◽  
Barry Eggleston
Keyword(s):  
Time Series ◽  
Data Analysis ◽  
Exploratory Data Analysis ◽  
Time Series Data ◽  
Series Data ◽  
Exploratory Data

Faktor-Faktor Yang Mempengaruhi Nilai Tukar Dollar Amerika Serikat Terhadap Rupiah Tahun 2000–2013

2017 ◽  
Vol 1 (2) ◽  
pp. 177-191
Author(s):  
Rizki Rahma Kusumadewi ◽  
Wahyu Widayat
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Money Supply ◽  
Time Series Data ◽  
The United States ◽  
Economic Conditions ◽  
Series Data ◽  
Arch Model ◽  
United States Dollar ◽  
The Exchange Rate

Exchange rate is one tool to measure a country’s economic conditions. The growth of a stable currency value indicates that the country has a relatively good economic conditions or stable. This study has the purpose to analyze the factors that affect the exchange rate of the Indonesian Rupiah against the United States Dollar in the period of 2000-2013. The data used in this study is a secondary data which are time series data, made up of exports, imports, inflation, the BI rate, Gross Domestic Product (GDP), and the money supply (M1) in the quarter base, from first quarter on 2000 to fourth quarter on 2013. Regression model time series data used the ARCH-GARCH with ARCH model selection indicates that the variables that significantly influence the exchange rate are exports, inflation, the central bank rate and the money supply (M1). Whereas import and GDP did not give any influence.

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