Price linkages between the GCC stock markets: a bounds test using an Auto Regressive-Distributed Lag model

2012 ◽  
Vol 5 (1) ◽  
pp. 87
Author(s):  
N.A. Abraham ◽  
Haider Madani
Keyword(s):  
Stock Markets ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Lag Model ◽  
Auto Regressive ◽  
Bounds Test

scholarly journals The ARDL Method in the Energy-Growth Nexus Field; Best Implementation Strategies

Economies ◽  
2019 ◽  
Vol 7 (4) ◽  
pp. 105 ◽  
Author(s):  
Angeliki N. Menegaki
Keyword(s):  
Implementation Strategies ◽  
Research Papers ◽  
Vast Number ◽  
Energy Growth ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Lag Model ◽  
Bounds Test ◽  
Cointegration Testing

A vast number of the energy-growth nexus researchers, as well as other “X-variable-growth nexus” studies, such as for example the tourism-growth nexus, the environment-growth nexus or the food-growth nexus have used the autoregressive distributed lag model (ARDL) bounds test approach for cointegration testing. Their research papers rarely include all the ARDL procedure steps in a detailed way and thus they leave other researchers confused with the series of steps that must be followed and the best implementation paradigms so that they not allow any obscure aspects. This paper is a comprehensive review that suggests the steps that need to be taken before the ARDL procedure takes place as well as the steps that should be taken afterward with respect to causality investigation and robust analysis.

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 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 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.

scholarly journals Auto Regressive Distributed Lag Model for Crude Oil (Brent) and Crude Oil (WTI)

2019 ◽  
Vol 8 (3S3) ◽  
pp. 508-511
Keyword(s):  
Crude Oil ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Close Proximity ◽  
Lag Model ◽  
Auto Regressive ◽  
Causality Relationship

It has been found through various literatures that Crude Oil (Brent) and Crude Oil (WTI) series moves in close proximity. This paper tries to examine the causality relationship between Crude Oil(WTI) and Crude Oil(Brent). In absence of cointegration between the two series Auto Regressive Distributed Lag Model was used.

Wagner’s Hypothesis: An Empirical Verification

2016 ◽  
Vol 6 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Masudul Hasan Adil ◽  
Aadil Ahmad Ganaie ◽  
B. Kamaiah
Keyword(s):  
Public Expenditure ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Indian Context ◽  
Long Run ◽  
Weak Evidence ◽  
Lag Model ◽  
Bounds Test ◽  
The Relationship

This study explores the relationship between public expenditure (PE) and gross domestic product (GDP) to verify whether the Wagner’s hypothesis holds good in the Indian context. We cover the period from 1970 to 2013 and use econometric tools like Autoregressive Distributed Lag Model (ARDL) test to check the long-run and causal relationship among the variables. The results of the bounds test suggest that there exists cointegration between PE and GDP, but we found weak evidence for Wagner’s hypothesis as well.

scholarly journals Global Climate Change and Its Impact on Agriculture Sector in Pakistan

2017 ◽  
Vol 4 (3) ◽  
pp. 109-116
Author(s):  
Abdul Ghafoor Awan ◽  
Ghulam Yaseen
Keyword(s):  
Climate Change ◽  
Global Climate Change ◽  
Global Climate ◽  
Annual Growth Rate ◽  
Agriculture Sector ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Lag Model ◽  
Auto Regressive ◽  
The Impact

Impact of global climate change on the agriculture sector of Pakistan is estimated in Pakistan. Agriculture is considered as the backbone of Pakistan economy because more 60% population is directly involved with this profession.  Due to rapid industrialization the temperature level is increasing, which is harmful for agriculture crops and also for people. The objective of this research paper is to explore the impact of the global warming at agriculture sector of Pakistan and to measure climate impact on the agriculture sector in future.  Times series dataset from 1974 to 2013 is used to analyze the impact. Agriculture value added annual growth rate is used as dependent variable. Carbon oxide emission, agriculture methane emission, agriculture nitrous oxide emission, greenhouse gas emission and population density are used as explanatory variables. Auto regressive distributed lag model is used as statistical technique to analyze the dataset. The result shows that the variables have significant impact on the agriculture sector of Pakistan. Auto regressive distributed lag model presents the existence of the short run and long run relationship between the dependent and independent variables. In a policy recommendation government try to reduce the warming through control on industrialization.  

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