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.

scholarly journals ANALISA HUBUNGAN ANTARA PRODUK DOMESTIK BRUTO DAN EKSPOR INDONESIA (UJI KAUSALITAS GRANGER)

2020 ◽  
Vol 3 (2) ◽  
pp. 299-305
Author(s):  
Debora Silvia Hutagalung ◽  
◽  
Junaidi Siahaan ◽  
Keyword(s):  
Gross Domestic Product ◽  
Granger Causality ◽  
Unit Root Test ◽  
Granger Causality Test ◽  
Domestic Product ◽  
Trade Theory ◽  
Causality Test ◽  
Macroeconomic Theory ◽  
The Relationship ◽  
Domestic Products

This study entitled "Analysis of The Relationship Between Gross Domestic Product and Indonesian Exports (Granger causality test)”. This research was conducted because of the dualism of the theory between the two variables. In macroeconomic theory, the relationship between Gross Domestic Product is one of the similarities, because exports contribute to Gross Domestic Products on the demand side, while neoclassical trade theory emphasizes causality related to household production and assistance for exports.The purpose of this study is to determine the relationship between Gross Domestic Product and exports. This study uses several analytical methods: Unit Root Test, CointegrationTest, Granger Causality Test using the E-views program7 and using Quarterly data.The results of the estimation of this study are the estimation of the relationship in GDP and exports, or in other words the Gross Domestic Product affects Indonesia's exports. This is concluded based on the estimation results that can be seen from the statistical F value that is greater than the f-table (8.958205> 3.841466) on the Null hypothesis. GDP is not an Export Granger with a 95% confidence level. This means, GDP affects exports When GDP can affect the level of exports in the intervals of 2000 to 2012.Keywords:Gross Domestic Product(GDP), Exports, Granger Causality Test

Индустријализација и раст бруто друштвеног производа // The Industrialization and Growth of Gross Domestic Product

2018 ◽  
Vol 13 (22) ◽  
pp. 151
Author(s):  
Брано Маркић ◽  
Сања Бијакшић ◽  
Арнела Беванда
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Gross Domestic Product ◽  
Industrial Production ◽  
Growth And Development ◽  
Manufacturing Sector ◽  
Domestic Product ◽  
Data Set ◽  
The Impact ◽  
The Relationship

Резиме: Рад је истраживање и емпиријска верификација закона Ницхолас Калдора о утицају индустријске производње на раст бруто друштвеног производа. Калдор је формулисао принципе економског раста у облику три закона који настоје утврдити кључне узроке економског раста. Први његов закон тврди да је стопа раста привреде позитивно корелирана са стопом раста њезина производног сектора. Индустрија као најважнија снага развоја привреде се поодавно анализира у литератури о привредном развоју: Hirschman (1961), Rosenstein-Rodan (1943), Th irnjall (2013), Cornnjall (1977). Циљ рада је емпиријски провјерити Калдоров приступ расту и развоју у Федерацији Босне и Херцеговине. Стога је обликован посебан скуп података кога чине дводимензионалне табеле и временске серије. Регресијском анализом је квантификована повезаност између стопа раста бруто друштвеног производа и стопе раста индустријске производње.Summary: The paper the industrialization and the growth of gross domestic product is a research and empirical verification of Nicholas Kaldor laws on the impact of industrial production to GDP growth. Kaldor has formulated the principles of economic growth in the form of three laws that tend to identify key causes of economic growth. His first law asserts that the rate of economic growth is positively correlated with the rate of growth of its manufacturing sector. Industry as the most important force of economic development is widely analyzed in the literature on economic development (Hirschman (1961), Rosenstein-Rodan (1943), Thirwall (2013), Cornwall (1977)). The aim is to empirically test the Kaldor’s approach to growth and development in the Federation of Bosnia and Herzegovina. It is therefore designed a special data set consisting of two-dimensional tables and time series. Using regression analysis was quantified the relationship between the growth rate of gross domestic product and the growth of industrial production. 

Macroeconomic Suprises and the Turkish Financial Market

2020 ◽  
pp. 60-88
Author(s):  
Ayşegül İşcanoğlu Çekiç ◽  
Havva Gültekin
Keyword(s):  
Gross Domestic Product ◽  
Financial Market ◽  
Growth Rates ◽  
Abnormal Returns ◽  
Domestic Product ◽  
Macroeconomic News ◽  
Gross Domestic Product Growth ◽  
Euro Zone ◽  
Purchasing Managers

In the study, the authors investigate the impacts of macroeconomic news originating from Turkey, US, Euro Zone, and China on the Turkish financial market. They consider Purchasing Managers Indices and Gross Domestic Product growth rates as macroeconomic news. The study covers the period from May 4, 2015 to January 1, 2019, and six sectoral indices are included into the analysis. The findings show that impacts of macroeconomic surprises on abnormal returns are significant for all the sectors except Holdings and Investments and Insurance. The authors also provide evidence that the impacts of macroeconomic surprises on volatilities are significant for only Holdings and Investments and Technology.

International Comparisons: Selected Mental Health Data

1992 ◽  
Vol 71 (3) ◽  
pp. 723-726
Author(s):  
Y. G. Pillay
Keyword(s):  
Gross Domestic Product ◽  
International Comparisons ◽  
Psychiatric Hospitals ◽  
Health Data ◽  
Psychiatric Services ◽  
Domestic Product ◽  
Data Set ◽  
Per Capita ◽  
Relationship Of ◽  
The Relationship

The data set from the Organization for Economic Cooperation and Development (OECD) was explored to investigate the relationship of gross domestic product (which provides an indication of the wealth of a country) and the provision of psychiatric services (specifically inpatient psychiatric services) in selected OECD countries. Gross domestic product per capita correlated .84 with expenditure per capita on psychiatric hospitals but r was zero between number of beds per 1000 population and length of stay.

Economic growth, exports, and role of energy conservation: Evidence from panel co-integration-based causality models in South Asia

2020 ◽  
pp. 0958305X1989937 ◽  
Author(s):  
Muhammad Shakeel ◽  
Aziz Ahmed
Keyword(s):  
Gross Domestic Product ◽  
Error Correction ◽  
South Asia ◽  
Energy Use ◽  
Fossil Fuel ◽  
Domestic Product ◽  
Causality Test ◽  
Environment Friendly ◽  
Gross Domestic Product Growth ◽  
Panel Causality

This study examines the relationship among energy use, real gross domestic product, and exports and thereby the impact of energy conservation for the quest of a sustainable environment-gross domestic product growth in the panel of five South Asian countries. The aggregate production function framework is estimated by employing first/second generational panel co-integration-based models for the panel data covering the years 1980–2014. The empirical findings demonstrate a statistically significant panel error correction mechanism among real gross domestic product, capital, labor, and energy use in both export-added and export-excluded models. The findings of panel causality test depict a significant causal relationship running from export and energy use towards gross domestic product in the long run. Furthermore, a significant feedback relationship between energy use and gross domestic product and between exports and gross domestic product has been found in the short run. These findings of vector error correction model-based panel causality test imply that reducing/cutting the extant aggregate energy use (fossil fuel dominant) via conservation policies are somewhat wanting and could be implemented at the cost of lower gross domestic product and export growths, ceteris paribus. Therefore, for reducing the level of carbon emissions arising from fossil fuel-based energy use and for a sustainable aggregate energy use to the production sector per se, there is an immense need of developing environment friendly/green sources of energy in the region. These consolidated and concerted strides of developing and substituting environment friendly energy options into the extant aggregate energy use will, inter alia, ensure the sustainability of environment-gross domestic product growth in South Asia.

scholarly journals A STUDY ON THE RELATIONSHIP BETWEEN HOUSE PRICE INDEX AND ITS DETERMINANTS IN MALAYSIA

2020 ◽  
Vol 5 (2) ◽  
pp. 515
Author(s):  
Sharmila Binti Saudin ◽  
Nur Ashakirin Jehani ◽  
Nur Amaelya Mastani ◽  
Isnewati Ab Malek
Keyword(s):  
Gross Domestic Product ◽  
Price Index ◽  
Inflation Rate ◽  
House Price ◽  
Domestic Product ◽  
Causality Test ◽  
House Price Index ◽  
Long Run ◽  
Johansen Cointegration Test ◽  
The Relationship

In Malaysia, House Price is considered high at a certain part of the country causing the lower and middle groups unable to purchase a house. This research examines the long-run relationship and causality effect between House Price Index and determinants of House Price Index. The data was obtained from Valuation and Property Services Department (JPPH), Department of Statistics Malaysia, and Bank Negara. The data was collected over 10 years from 2010 to the first quarter of 2019. Johansen Cointegration Test and Granger Causality Test are applied in determining the long-run relationship and causality effect respectively. The general finding of this study is that the House Price Index shows an upward trend for the past nine years but slightly drop in the first quarter of 2019. This study has found that there is a long-run relationship between the House Price Index and the determinants which are Gross Domestic Product, Interest Rate, Inflation Rate, Population, and Unemployment Rate. Next, all independent variables do not granger cause House Price Index. At the same time, there is only one-way relationship found between House Price Index and Gross Domestic Product, and between House Price Index and Population where House Price Index is identified to granger cause both variables.

FINANCIAL TECHNOLOGIES FOR THE DEVELOPMENT OF ENTERPRISES AND THE RUSSIAN ECONOMY

2021 ◽  
Vol 1 (10) ◽  
pp. 91-106
Author(s):  
Evgeny V. Sokolov ◽  
◽  
Evgeny V. Kostyrin ◽  
Svetlana V. Lasunova ◽  
◽  
...  
Keyword(s):  
Gross Domestic Product ◽  
Pension Fund ◽  
Social Problems ◽  
The State ◽  
Domestic Product ◽  
Technological Equipment ◽  
Gross Domestic Product Growth ◽  
Development Fund ◽  
Russian Economy ◽  
Competitive Products

The proposed technology of financing enterprises and the Russian economy, harmoniously combining the interests of working citizens, owners and the state, makes it possible, at quite achievable rates of gross domestic product growth (enterprise revenue) by 3.5% per year, to ensure a 46.6% increase in wages of working citizens over 5 years, which will practically end poverty. To increase contributions to the development fund for 5 years by 25%, which the owners of enterprises and the entire workforce are interested in, since this ensures the growth of their incomes and the possibility of constant modernization and updating of technological equipment and the release of new competitive products. Increase in 5 years (despite a gradual decrease to 14.51% of contributions to the Pension Fund RF) the amount of funds received by budgets of all levels by 22%, which will allow the state to solve many social problems.

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