scholarly journals Price Levels and Poverty Nexus: A Case Study of Pakistan

2020 ◽  
Vol 5 (4) ◽  
Author(s):  
Muhammad Aleem Arshad ◽  
Muhammad Ramzan Sheikh ◽  
Muhammad Hanif Akhtar ◽  
Muhammad Imran Mushtaq
Keyword(s):  
Empirical Study ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Price Levels ◽  
Lag Model ◽  
Auto Regressive ◽  
The Relationship

The study has examined the relationship between price levels and poverty over the period of 1982-2015 in Pakistan by employing Auto Regressive Distributed Lag Model (ARDL). It is the pioneer empirical study on the topic in Pakistan. The study has revealed mixed findings between the price levels and poverty both at aggregated and disaggregated levels. The study has also suggested policies to reduce poverty according to the various price levels investigated in the assorted models.

scholarly journals Economic and Social Poverty Determinants in Sudan – Standard Analytical Study for the period (1980- 2019) by using Auto Regressive Distributed Lag Model (ARDL): المحددات الاقتصادية والاجتماعية للفقر في السودان– دراسة تحليلية قياسية للمدة (1980- 2019) باستخدام نموذج الانحدار الذاتي للفجوات الزمنية الموزعة (ARDL)

2021 ◽  
Vol 5 (15) ◽  
pp. 83-65
Author(s):  
Hassan Ali Osman Fatur, Fadul Algheli Elsued Musa, Ibrahim Y Hassan Ali Osman Fatur, Fadul Algheli Elsued Musa, Ibrahim Y
Keyword(s):  
Analytical Study ◽  
Positive Impact ◽  
Negative Relationship ◽  
Poverty Rate ◽  
Main Question ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Lag Model ◽  
Auto Regressive ◽  
The Relationship

The study aimed to measuring economic and social poverty determinants in Sudan, to achieve this goal a standard model for the relationship between the variables of the study was formulated and constructed during the period 1980 – 2019. The study problem lies in the main question: why poverty is increasing in Sudan although, many programs and tools for reducing poverty have been made by the State? The study assumed some hypotheses, the most important one is existence of inverse relationship having a positive impact statistically between unemployment and poverty in Sudan. The study has concluded that a positive relationship exists between unemployment and poverty, and a negative relationship exists between economic growth and poverty in Sudan. The study concluded of that there is an impact of the independent variables on poverty by a rate of 91%. The Researchers has recommended the necessity of a deflationary monetary policy to control inflation in order to reduce poverty rate.

scholarly journals Examining Eurozone Crisis and Unemployment Relationship Using Var Models

2013 ◽  
Vol 60 (2) ◽  
pp. 85-92
Author(s):  
Dimitrios Dapontas
Keyword(s):  
Government Spending ◽  
Eurozone Crisis ◽  
Var Models ◽  
Monthly Data ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Negative Effect ◽  
Lag Model ◽  
The Relationship

Abstract This work examines the relationship between the Eurozone crisis and unemployment. We deploy distributed lag model using two binary (Crisis and crisis in another country) along with three (Government spending to GDP, Labor freedom, and urbanization) variables working as a long term factors applied on a six countries set (Cyprus, Greece, Ireland, Italy, Portugal and Spain respectively) spanning the period January1995-May 2012 in order to explain the unemployment change using VAR models on monthly data in contrast to longer frequency analyses. This innovative approach is determining the optimal lag length between unemployment and crises determining the time between turbulence and its effect to unemployment. The results show that optimal lag varies among two and eight months. Two variables seem to have negative effect on unemployment (Government spending to GDP, labor freedom) and one positive (urbanization).

scholarly journals Comparison the Error Rate of Autoregressive Distributed Lag (ARDL) and Vector Autoregressive (VAR) (Case study: Forecast of Export Quantities in DIY)

2018 ◽  
Vol 18 (2) ◽  
pp. 167-177
Author(s):  
Dewi Kusuma Ningrum ◽  
Sugiyarto Surono
Keyword(s):  
Dynamic Model ◽  
Causality Test ◽  
Vector Autoregressive ◽  
Model Stability ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Integration Test ◽  
Lag Model

Forecasting is estimating the size or number of something in the future. Regression model that enters current independent variable value, and lagged value is called distributed-lag model, if it enters one or more lagged value, it is called autoregressive. Koyck method is used for dynamic model which the lagged length is unknown, for the known lagged length it is used the Almon method. Vector Autoregressive (VAR) is a method that explains every variable in the model depend on the lag movement from the variable itself and all the others variable. This research aimed to explain the application of Autoregressive distributed-lag model and Vector Autoregressive (VAR) method for the forecasting for export amount in DIY. It takes export amount in DIY and inflation data, kurs, and Indonesias foreign exchange reserve. Forecasting formation: defining Koyck and Almon distributed-lag dynamic model, then the best model is chosen and distribution-lag dynamic forecasting is performed. After that it is performed stationary test, co-integration test, optimal lag examination, granger causality test, parameter estimation, VAR model stability, and performs forecasting with VAR method. The forecasting result shows MAPE value from ARDL method obtained is 0.475812%, while MAPE value from VAR method is 0.464473%. Thus it can be concluded that Vector Autoregressive (VAR) method is more effective to be used in case study of export amount in DIY forecasting. Keywords: Koyck; Almon; Lag; Autoregressive Distributed-Lag; Vector Autoregressive;

scholarly journals The relationship between foreign direct investment, financial development and growth economic in Next-11 Countries: a PMG/ARDL estimation

Management ◽  
2021 ◽  
Vol 25 (1) ◽  
pp. 28-50
Author(s):  
Bilal Louail ◽  
Mohamed Salah Zouita
Keyword(s):  
Economic Growth ◽  
Financial Development ◽  
Estimation Method ◽  
Distributed Lag ◽  
Dynamic Relationship ◽  
Distributed Lag Model ◽  
Long Run ◽  
Short Run ◽  
Lag Model ◽  
The Relationship

Summary This study investigates the relationship between FDI, economic growth and financial development in the Next 11 countries. An analysis of the results was performed accordingly on the panel data gathered from the Next 11 countries from 1985 to 2019— using the Pooled Mean Group (PMG) estimation method and the Autoregressive Distributed Lag model approach (ARDL). The results indicate an impact of both economic growth and financial development on the FDI flows to the study of countries during the period between 1985 and 2019 in the long run, while no such proof is affirmed in the short run. This study’s contribution provides a better understanding of the dynamic relationship between FDI, economic growth, and financial development by providing decision-makers to understand the nature of the dynamic association between the study variables. This study provides empirical evidence about the association between inflows of FDI, economic growth and financial development within the context of the Next-11 countries. The previous literature lacks empirical study on the relationship between variables of study for the Next-11 countries.

scholarly journals The Relationship between Economic Development and Fatal Occupational Accidents: Evidence from Turkey

2017 ◽  
Vol 64 (1) ◽  
pp. 19-31 ◽  
Author(s):  
Olcay Çolak ◽  
Serap Palaz
Keyword(s):  
Economic Development ◽  
Occupational Accidents ◽  
Bounds Testing ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Lag Model ◽  
The Relationship

Abstract Occupational accidents are among the most important issues of the agenda of working life in Turkey recently. Recently the causes and consequences of occupational accidents which are related to human, occupational and environmental factors have received great attention from the researchers but it has been paid little attention to focused on economic factors. The purpose of this paper is to make a contribution to redressing this gap by examining the relationship between fatal occupational accidents and economic development over the period of 1980 to 2012 for Turkey. In this context, bounds testing approach which is also known as autoregressive distributed lag model is performed. The results indicate the existence of positive relationship between gross domestic product per capita and fatal occupational accidents in the short-run while in the long run this turns out to be in a negative way via economic growth and changes in structure of the economy.

scholarly journals Auto-regressive Distributed Lag Model for long-run US household debt determinants

2019 ◽  
Vol 16 (3) ◽  
pp. 40-48
Author(s):  
Ezelda Swanepoel
Keyword(s):  
Housing Prices ◽  
Household Debt ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Long Run ◽  
Consumer Prices ◽  
Lending Rate ◽  
Lag Model ◽  
Auto Regressive ◽  
Bound Test

US household debt increased on a yearly basis from 1987 to 2007. In addition, household debt in the USA nearly doubled between 2000 and 2007, from $5.6 trillion to $9 trillion. This came to an abrupt end in 2009 with the crash of the financial market. This paper employs the bound test and Auto-regressive Distributed Lag Model to determine the long-run relationship between US household debt and consumer prices, housing prices, the unemployment rate, and the lending rate. Unit root tests were conducted first to ascertain the stationarity of the variables. E-views 11 was used in the analysis of the data, which was obtained from Q1: 1990 to Q1: 2007 from the International Monetary Fund and the US FED. It was found that in the long run, there is a negative effect of consumer prices and unemployment on US household debt, while house prices and the lending rate would have a positive effect on household debt.

scholarly journals The Nexus Between Taxation, Government Expenditure and Economic Growth in South Africa. A fresh evidence from combined cointegration test

2021 ◽  
Vol 39 (3) ◽  
Author(s):  
Delani Moyo ◽  
Ahmed Samour ◽  
Turgut Tursoy
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Government Expenditure ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Integration Test ◽  
Lag Model ◽  
The Relationship

The relationship between taxation, government expenditure and economic growth. is a widely debated issue in the literature. The aim of this research is to present a fresh evidence from the nexus of taxation, government expenditure and economic growth in for the period 1991-2018 in South Africa, using recently developed combined co-integration test. Autoregressive Distributed Lag model(ARDL) is utilized to examine coefficients between the variables in the short and long-run The newly advanced Bayer-Hacks (BH) combined co-integration approach is employed so as to verify the ARDL bounds result. The empirical results from ARDL model revealed that there is a positive and significant relationship between government expenditure and economic growth in both short and long run. In addition, the study shows that tax revenue has a significant positive relationship with the economic growth. Therefore, levels of taxation and government expenditure are favorable to the growth of economy in South Africa. The research proposed that decision makers in South Africa should pay more attention on Taxation and government expenditure policies and the gains from economic growth such as channel much of its expenditure towards the manufacturing and agricultural sectors, which have great potentials of increasing the supply of the products. Which in turn leads to reduce prices and increase in the rates of employment. This would, also make the country’s exports prices competitive.

scholarly journals Does Inflation have Effect on Economic Growth? Empirical Evidence from Pakistan

2020 ◽  
Vol 1 (1) ◽  
pp. 41-52
Author(s):  
Raima Nazar ◽  
Aisha Ambreen ◽  
Sumbal Sabtain
Keyword(s):  
Economic Growth ◽  
Inflation Rate ◽  
Negative Impact ◽  
Annual Data ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Lag Model ◽  
Auto Regressive ◽  
The Impact ◽  
Model Technique

Pakistan is one of the developing countries instead of possessing large amount of natural resources like mines, reserves of coal, adequate amount of minerals and oil, But, Pakistan is still deprived of basic necessities of life and suffering from extreme inflation in the country. Therefore, this study is an attempt to synopsis the impact of inflation on GDP of Pakistan. This study mainly focus on the inflation rate from the period 1980 to 2016, time series annual data has been employed in the study. The Auto Regressive Distributed Lag Model technique is applied in the study in order to estimate and analyze the data. The study concludes that inflation indicates negative impact on the GDP of Pakistan and it can only be minimized if all resources of the country are properly allocated and fully utilized.

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