scholarly journals Mathematical Approach for Predicting the Gross Domestic Product of Malaysia

2020 ◽  
Vol 5 (10) ◽  
pp. 247-257
Author(s):  
Maryam Rukayyah Al-Munirah Ayob ◽  
Azizah Mohd Rohni
Keyword(s):  
Gross Domestic Product ◽  
Regression Model ◽  
Regression Models ◽  
Market Value ◽  
Domestic Product ◽  
Main Subject ◽  
Exponential Regression ◽  
Goods And Services ◽  
Future Developments ◽  
The Relationship

Gross domestic product (GDP) is a monetary measure of the market value of overall final goods and services produced in a given year, and serves as a gauge of the economy’s overall health and size. The GDP prediction is significant, as it can capture and understand the future developments of a country’s economy. In this paper, three different mathematical models have been used to predict Malaysia’s gross domestic product using regressions. The models discussed in this paper are linear, exponential and parabolic regressions. In developing the models, data from year 1970 to 2014 has been employed and data from year 2015 to 2019 has been used to examine the models' accuracy. The models are then observed to identify the most appropriate to express the relationship between the years and Malaysia’s gross domestic product. In this study, it is found that the parabolic regression model is more accurate compared to the linear and exponential regression models. The parabolic regression model is also the most appropriate since it is adjusted to the real conditions of Malaysia's gross domestic product which is the main subject of this paper. Finally, it is obtained that the prediction values of GDP in Malaysia will increase for the next ten years (2020 - 2029).   Keywords: Gross domestic product, Linear regression, Exponential regression, Parabolic regression

scholarly journals Examining the Export-led Growth Hypothesis: The case of Croatia

2015 ◽  
Vol 61 (3) ◽  
pp. 22-31 ◽  
Author(s):  
Vlatka Bilas ◽  
Mile Bošnjak ◽  
Sanja Franc
Keyword(s):  
Gross Domestic Product ◽  
Equilibrium State ◽  
Granger Causality ◽  
Domestic Product ◽  
Short Term ◽  
Goods And Services ◽  
Subsequent Period ◽  
The Relationship ◽  
Growth Hypothesis

Abstract This paper examines the relationship between gross domestic product and exports of goods and services in Croatia between 1996 and 2012. The research results confirmed unidirectional Granger causality from the exports of goods and services to gross domestic product. Following the Engle-Granger approach to cointegration, long-term equilibrium as well as short-term correlation between the observed variables was identified. Exports of goods and services and gross domestic product (GDP) in Croatia move together. If the two observed variables move away from equilibrium, they will return to their long-term equilibrium state at a velocity of 24.46% in the subsequent period. In accordance with the results, we found evidence supporting the export-led growth hypothesis in Croatia. As the outcomes indicated, to recover the economy, Croatia should put more emphasis on the development of exporting sectors.

scholarly journals Gross Domestic Product & it’s Various Approaches

2018 ◽  
Vol 1 (2) ◽  
pp. 70-85
Author(s):  
Satish Chandra Agarwal
Keyword(s):  
Gross Domestic Product ◽  
Purchasing Power Parity ◽  
Market Value ◽  
Living Standards ◽  
Domestic Product ◽  
Power Parity ◽  
Goods And Services ◽  
Inflation Rates ◽  
Per Capita ◽  
The Cost

Gross domestic product (GDP) is a monetary measure of the market value of all the final goods and services produced in a period of time, often annually GDP (nominal) per capita does not, however, reflect differences in the cost of living and the inflation rates of the countries; therefore, using a basis of GDP per capita at purchasing power parity (PPP) is arguably more useful when comparing differences in living standards between nations.

Abstract P360: Hypertension Treatment Rates And Health Worker Density: An Analysis Of Worldwide Data

Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Rajesh Vedanthan ◽  
Mondira Ray ◽  
Valentin Fuster ◽  
Ellen Magenheim
Keyword(s):  
Gross Domestic Product ◽  
Health Worker ◽  
World Bank ◽  
Domestic Product ◽  
Hypertension Treatment ◽  
Treatment Rate ◽  
Capita Gross Domestic Product ◽  
The World ◽  
Per Capita ◽  
The Relationship

Introduction: Hypertension is the leading global risk for mortality and its prevalence is increasing in many low- and middle-income countries. Hypertension treatment rates are low worldwide, potentially in part due to insufficient human resources. However, the relationship between health worker density and hypertension treatment rates is unknown. Objective: To conduct an econometric analysis of the relationship between health worker density and hypertension treatment rates worldwide. Methods: Hypertension treatment rates were collected from published reports between 1980 and 2010. Data on health worker (physician and nurse) density were obtained from the World Health Organization (WHO). Data for potential confounding variables--per capita gross domestic product, hospital bed density, burden of infectious diseases, land area and urban population--were obtained from WHO and World Bank databases. Potential interaction by per capita gross domestic product was evaluated. Multivariable logistic-logarithmic regression analysis was performed using Stata. Results: Full data were available from 146 countries spanning all World Bank income classification categories. Health worker density was significantly associated with hypertension treatment rate in the unadjusted model (beta = 0.23; p < 0.005). In the fully adjusted model, the association remained positive but was not statistically significant (beta = 0.30; p = 0.078) (Figure). Hypertension treatment rates were more strongly related to physician than nurse density (beta = 0.21 vs 0.08; p = 0.10 vs 0.49). Conclusion: Hypertension treatment rates across the world appear to be related to health worker density, although the relationship does not achieve strict statistical significance. Our results suggest that a 10% increase in health worker density is associated with a 2-3% increase in hypertension treatment rate. Given the global burden of hypertension and other chronic diseases, WHO guidelines for health workforce staffing may need to be reconsidered.

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.

The Relationship Between Climate Change and Financial Stability

2021 ◽  
pp. 118-133
Author(s):  
Joan Mwihaki Nyika
Keyword(s):  
Climate Change ◽  
Risk Management ◽  
Gross Domestic Product ◽  
Financial Stability ◽  
Domestic Product ◽  
Financial Systems ◽  
Financial Firms ◽  
Climate Risk Management ◽  
Liability Risks ◽  
The Relationship

Climate change is the greatest challenge of the modern day with the capacity to destabilize global financial systems and socioeconomic welfare. This chapter explores the uncertainties posed by climate change, its effects on the economy, the risks associated with the phenomenon, and approaches to manage them through risk management. Using documented evidence, climate change is shown to result in gross domestic product reductions; physical, transition, and liability risks that result to systemic financial problems characterized by liquidation of companies, losses for, and closure of financial firms and their intermediaries; and inability of investors to pay debts. Climate risk management is proposed as a solution to adapt to climate change and reduce its associated risks.

scholarly journals Economic Crisis in Europe: Panel Analysis of Inflation, Unemployment and Gross Domestic Product Growth Rates

2017 ◽  
Vol 9 (10) ◽  
pp. 145 ◽  
Author(s):  
Bibi Rouksar-Dussoyea ◽  
Ho Ming-Kang ◽  
Raja Rajeswari ◽  
Benjamin Chan Yin-Fah
Keyword(s):  
Gross Domestic Product ◽  
Growth Rates ◽  
Fixed Effects ◽  
Domestic Product ◽  
Panel Analysis ◽  
Causality Test ◽  
Data Set ◽  
Gross Domestic Product Growth ◽  
European Crisis ◽  
The Relationship

This panel analysis study is conducted to examine the relationship between inflation rates (CPI) and unemployment rates (HUR) with the Gross Domestic Product growth rates (GDP), before and after the 2008 European crisis. Quarterly data for 18 consecutive years and six sample countries from Europe (Austria, France, Germany, Greece, Hungary and United Kingdom) have been considered in the panel. In order to get a more profound understanding of the impacts of the European crisis on the relationship between the variables, the panel data set has been classified into 3 separate panels, such that Panel 1 (1999Q1-2007Q4) represents before-crisis panel, Panel 2 (2008Q1-2016Q4) represents the during/after crisis panel and lastly, Panel 3 (1999Q1-2016Q4) represents the long-run panel. Panel 1 is subject to the Fixed Effects with LSDV model, whereby four out of the six countries are significant, and CPI and HUR are insignificant predictors of the GDP. Both Panel 2 and Panel 3 are subject to the Two-way Random Effects model, whereby both CPI and HUR have negative significant effect on GDP. Granger Causality test has also been carried out to determine whether causality is present among variables, based on each panel.

War Making and the Building of State Capacity: Expanding the Bivariate Relationship

2017 ◽  
Author(s):  
Karen A. Rasler ◽  
William R. Thompson
Keyword(s):  
Gross Domestic Product ◽  
Empirical Analysis ◽  
State Capacity ◽  
Point Of View ◽  
Regime Type ◽  
Domestic Product ◽  
Data Set ◽  
Representative Data ◽  
The Relationship ◽  
Do So

A central cleavage in the war making-state making literature is between advocates of the notion that warfare has been the principal path to developing stronger states and critics who argue that the relationship no longer holds, especially in non-European contexts. It is suggested that the problem is simply one of theoretical specification. Increasingly intensive warfare, as manifested in European combat, made states stronger. Less intensive warfare, particularly common after 1945, is less likely to do so. Empirical analysis of a more representative data set on state capacity (revenues as a proportion of gross domestic product [GDP]), focusing on cases since 1870, strongly supports this point of view. The intensiveness of war is not the only factor at work—regime type and win/loss outcomes matter as well—but the relationship does not appear to be constrained by the level of development.

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.

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