scholarly journals An analysis of the relationship of inflation and unemployment to the gross domestic product (gdp) in zimbabwe

2014 ◽  
Vol 1 (3) ◽  
pp. 156-162
Author(s):  
Tendai Makoni
Keyword(s):  
Time Series ◽  
Gross Domestic Product ◽  
Cointegration Test ◽  
Domestic Product ◽  
Long Run ◽  
Causality Tests ◽  
Granger Causality Tests ◽  
Relationship Of ◽  
The Relationship ◽  
Yearly Data

The time series yearly data for Gross Domestic Product (GDP), inflation and unemployment from 1980 to 2012 was used in the study. First difference of the logged data became stationary as suggested by the time series plots. Johansen Maximum Likelihood Cointegration test indicated a long-run relationship among the variables. Granger Causality tests suggested unidirectional causality between inflation and GDP, implying that GDP is Granger caused by inflation in Zimbabwe. Another unidirectional causality was noted between unemployment and inflation. The causality between unemployment and inflation imply that unemployment do affect GDP indirectly since unemployment influences inflation which in turn positively affect GDP.

DECOMPOSITION OF ECONOMIC RELATIONSHIPS BY TIMESCALE USING WAVELETS

1998 ◽  
Vol 2 (1) ◽  
pp. 49-71 ◽  
Author(s):  
James B. Ramsey ◽  
Camille Lampart
Keyword(s):  
Economic Time Series ◽  
Economic Relationships ◽  
Time Aggregation ◽  
Long Run ◽  
Causality Tests ◽  
Relevant Variables ◽  
Economic Time ◽  
Granger Causality Tests ◽  
Relationship Of ◽  
The Relationship

Economists have long known that timescale matters in that the structure of decisions as to the relevant time horizon, degree of time aggregation, strength of relationship, and even the relevant variables differ by timescale. Unfortunately, until recently it was difficult to decompose economic time series into orthogonal timescale components except for the short or long run in which the former is dominated by noise. Wavelets are used to produce an orthogonal decomposition of some economic variables by timescale over six different timescales. The relationship of interest is that between money and income, i.e., velocity. We confirm that timescale decomposition is very important for analyzing economic relationships. The analysis indicates the importance of recognizing variations in phase between variables when investigating the relationships between them and throws considerable light on the conflicting results that have been obtained in the literature using Granger causality tests.

The Causal Links Between Foreign Direct Investment And Economic Growth In Pakistan

2012 ◽  
Vol 6 ◽  
Author(s):  
Najid Ahmad ◽  
Muhammad Farhat Hayat ◽  
Muhammad Luqman ◽  
Shafqat Ullah
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Gross Domestic Product ◽  
Direct Investment ◽  
Domestic Product ◽  
Correction Model ◽  
Economic Progress ◽  
Long Run ◽  
Domestic Capital ◽  
The Relationship

This paper investigates the relationship between foreign direct investment and economic growth in Pakistan. The co-integration and error correction model is used to show the relationship between foreign direct investment and gross domestic product in Pakistan. Gross domestic product is taken as dependent variable while foreign direct investment, labor force and domestic capital as independent variables. The results suggest that there is a positive relation between foreign direct investment and gross domestic product in short as well as long run. If we want to make economic progress then there is a need to invite foreign investors because foreign direct investment increases GDP that is economic growth.

Economic growth and the development of innovations in modern Russia

10.12737/437 ◽  
2013 ◽  
Vol 1 (1) ◽  
pp. 44-50
Author(s):  
Шишкин ◽  
Andrey Shishkin
Keyword(s):  
Economic Growth ◽  
Gross Domestic Product ◽  
Labour Force ◽  
Social Indicators ◽  
The State ◽  
Domestic Product ◽  
Innovation Development ◽  
Innovation Potential ◽  
Relationship Of ◽  
The Relationship

Analysis of terms associated with economic growth. In particular conducted a more detailed analysis of the gross domestic product. Describing the relationship of the gross domestic product, and social indicators connected with the movement of the labour force. The analysis of statistical indicators characterizing the innovation potential of the state. Touched upon the issues related to the preparation of personnel in the field of development of innovative processes. According to the survey of statistical data formed findings on the interaction of indicators characterizing the economic growth and indicators characterizing the innovative development of the state. Touched upon the issues of interaction of state corporations and the growth of the innovation development of the state, as well as the historical aspects of formation of state corporations. Analyzed the dependence between the development of innovation processes and the formation of human capital as a major factor of development of innovations. The conclusions which allow to compare the trends in the development of economic growth with the trends in the development of innovative processes.

scholarly journals THE RELATIONSHIP BETWEEN MONETARY POLICY AND PRIVATE SECTOR CREDIT IN SADC COUNTRIES

2021 ◽  
Vol 9 (1) ◽  
pp. 46-54
Author(s):  
Vikela Liso Sithole ◽  
◽  
Tembeka Ndlwana ◽  
Kin Sibanda ◽  
◽  
...  
Keyword(s):  
Monetary Policy ◽  
Gross Domestic Product ◽  
Private Sector ◽  
Money Supply ◽  
Sustainable Growth ◽  
Domestic Product ◽  
Distributed Lag ◽  
Long Run ◽  
The Impact ◽  
The Relationship

This paper empirically examined the relationship between monetary policy and private sector credit in the Southern African Development Community (SADC) group of countries using a panel autoregressive distributed lag (ARDL) co-integration technique for the period from 2009 to 2018. The Hausman test result indicated that the null hypothesis of long-run homogeneity cannot be rejected and hence we accept the pooled mean group estimators (PMGE) as a consistent and efficient estimator. The PMGE results showed that credit to the private sector and gross domestic product have a positive and statistically significant long-run impact on money supply. The impact of credit to the private sector on money supply is shown by the results to be statistically significant and positive both in the short and long run. The impact of gross domestic product on money supply was found to be statistically significant positive in the long run while positive but insignificant in the short run. The study recommends policy attention that is directed towards the appetite for accelerated growth, investment, and employment in the SADC region but more importantly with more regard to the establishment of sustained macroeconomic stability as a precondition to sustainable growth and for the creation of monetary union in the region.

scholarly journals Money supply and economic growth of Nepal: ARDL approach

2020 ◽  
Vol 4 (1) ◽  
pp. 76-94
Author(s):  
Keshar Bahadur Kunwar
Keyword(s):  
Economic Growth ◽  
Gross Domestic Product ◽  
Money Supply ◽  
Time Series Data ◽  
Empirical Relationship ◽  
Domestic Product ◽  
Series Data ◽  
P Value ◽  
Long Run ◽  
The Relationship

There are a number of theories illustrating the relationship between money supply and gross domestic product. Money supply can be defined as the total stock of money circulating in the economy. The circulating money involves the currency, printed notes, money in the deposit accounts, and in the form of other liquid assets. Valuation of money supply helps analysts and policy makers to frame the policy or to alter the existing policy of increasing or reducing the supply of money. The valuation is important as it ultimately affects the business cycle and thereby affecting the economy. This study sought to provide answers to the question, what are the effects of money supply on the gross domestic product in Nepal? The study undertook a causal research design using time series data from the period 1974/75 to 2017/18 to critically investigate the relationship between money supply and economic growth by establishing an empirical relationship that exists between them. The study employed the Augmented Diky fuller test and ARDL- VECM model. The results indicate the existence of a significant long-run relationship between money supply and economic growth as measured by GDP. LNBM is significant to LNGDP and LNGDP is also significant to LNBM so there is bi-directional causality. There is unidirectional relationship existing between LNINF to LNGDP and LNINF to LNBM. ECTcoefficient vale are negative and the p-value of above three approaches are also less than 5 percent which is desirable for the ARDL model.

scholarly journals INNOVATION CAPACITY, BUSINESS SOPHISTICATION AND MACROECONOMIC STABILITY: EMPIRICAL EVIDENCE FROM OECD COUNTRIES

2019 ◽  
Vol 20 (2) ◽  
pp. 351-367 ◽  
Author(s):  
Dervis Kirikkaleli ◽  
Alper Ozun
Keyword(s):  
Time Series ◽  
Oecd Countries ◽  
Least Square ◽  
Ordinary Least Square ◽  
Long Run ◽  
Causality Tests ◽  
Innovation Capacity ◽  
Single Dataset ◽  
The Relationship ◽  
Macroeconomic Stability

The main aim of this study is to explore the linkages between innovation capacity, business sophistication, and macroeconomic stability within OECD countries. In order to obtain information regarding the relationship between time series variables, the Pedroni cointegration, Kao cointegration, fully modified ordinary least square, dynamic ordinary least square, Granger causality, and Dumitrescu Hurlin causality tests are employed. The empirical results reveal that improvement in business sophistication triggers innovation capacity and support macroeconomic stability. Innovation capacity would also need to be expanded in the long-run, which positively leads to advanced business sophistication that has a cyclical effect. If policymakers intend to accelerate business sophistication, then their attention should be directed towards maximizing the economic indicators in the long-run. To the best of our knowledge, the linkage between innovation capacity, business sophistication and macroeconomic stability in OECD countries has not been comprehensively explored through the use of a single dataset. Thus, the findings of this study could lead to a new debate regarding the concept.

Energy Consumption and Performance of Sectoral Outputs: Results from an Energy-Impoverished Economy

2019 ◽  
Vol 9 (7) ◽  
pp. 1539 ◽  
Author(s):  
Bernhard ISHIORO
Keyword(s):  
Energy Consumption ◽  
Time Series Data ◽  
Series Data ◽  
Goods And Services ◽  
Sectoral Output ◽  
Long Run ◽  
Causality Tests ◽  
Granger Causality Tests ◽  
And Performance ◽  
The Relationship

This paper is directed at exploring the relationship among energy consumption, disaggregated sectoral output (GDP) and economic growth in Nigeria using time series data. The study applied a plethora of estimation techniques (multivariate unit root, Johansen cointegration and Granger causality tests). The study found that energy consumption has enhanced the performance of agriculture, health, manufacturing, utilities, finance and transport sectors in Nigeria during the period under consideration. Long-run energy consumption was found to be detrimental to the performance of administration output (GDP). The study recommends that energy consumption should be encouraged essentially for sectoral and industrial purposes (the production of intermediate goods and services) and not only for household consumption.

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