Does Oil Price Asymmetrically Impact Remittance Outflows? The Case of Oman

2019 ◽  
Vol 15 (2) ◽  
Author(s):  
Selçuk Akçay
Keyword(s):  
New York ◽  
Oil Prices ◽  
Oil Price ◽  
Distributed Lag ◽  
Nonlinear Ardl ◽  
Distributed Lag Model ◽  
Long Run ◽  
Lag Model ◽  
Asymmetric Impact ◽  
Asymmetric Cointegration

Abstract The mechanism by which oil price affects remittance outflows is not well understood and investigated. Using non-linear autoregressive distributed lag model (Shin, Yu, and. Greenwood-Nimmo. 2014. “Modelling Asymmetric Cointegration and Dynamic Multipliers in a Nonlinear ARDL Framework.” In Festschrift in Honor of Peter Schmidt, vol. 44, edited by R. C. Sickles, and W. C. Horrace, 281–314. New York: Springer New York. https://doi.org/10.1007/978-1-4899-8008-3_9), this study mainly seeks to investigate the asymmetric impact of oil prices on remittance outflows over the period from 1975 to 2015, for an oil-based economy, Oman. The results of the study reveal that changes in oil price are asymmetrically associated with remittance outflows in both short and long run. Furthermore, the response of remittance outflows to developments in oil prices is different in a way that positive shocks in oil prices promote remittance outflows, while negative shocks have no significant impact.

scholarly journals Impact of Oil Price Fluctuations on Omani Narrow Money Supply (M1) - (1980-2016)

2019 ◽  
Vol 5 (10) ◽  
Author(s):  
Bilal Khlaf Al Omari ◽  
Mr. Abubakar El-Sidig Ali Ahmed
Keyword(s):  
Money Supply ◽  
Oil Prices ◽  
Oil Price ◽  
Strongly Correlated ◽  
Price Fluctuations ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Lag Model

The Omani economy frequently moves in unison with changing oil prices because it is highly dependent on this commodity. Given this relationship, it is reasonable to theorize that the Omani narrow money supply (M1) is also sensitive to oil price fluctuations. This study examines the linkages between oil price changes and the M1 money supply in Oman for the period 1980 to 2016 and analyzes the nature of discovered relationships. An autoregressive distributed lag model is used to test the relationship between Omani oil price fluctuations and the money supply over time from 37 annual observations. This study finds that changes in oil prices and the M1 money supply are strongly correlated in the long run, which has implications for policymakers looking to diversify the Omani economy.

ANALYZING THE ASYMMETRIC EFFECTS OF CRUDE OIL PRICE CHANGES ON CHINA’S PETROLEUM PRODUCT PRICES

2020 ◽  
pp. 1-20
Author(s):  
XIANCHUN LIAO ◽  
JUNGHO BAEK
Keyword(s):  
Crude Oil ◽  
Oil Prices ◽  
Price Transmission ◽  
Gasoline Prices ◽  
Distributed Lag ◽  
Nonlinear Ardl ◽  
Crude Oil Prices ◽  
Long Run ◽  
Pass Through ◽  
Asymmetric Cointegration

As the world’s second-largest crude oil consumer, China depends on imports for approximately 60% and domestic production for approximately 40%, of its oil demand. Therefore, it is very interesting to assess the pass-through effects of both domestic and international crude oil prices to gasoline and diesel prices. After the short- and long-run investigations using the nonlinear autoregressive distributed lag (ARDL) methodology of Shin et al. [Shin, Y, BC Yu and M Greenwood-Nimmo (2014). Modelling asymmetric cointegration and dynamic multipliers in a nonlinear ARDL framework” Festschrift in Honor of Peter Schmidt: Econometric Methods and Applications, R Sickels and W Horrace (eds.), pp. 281–314. Springer.], we find overwhelming evidence supporting the asymmetric price transmission mechanism between crude oil prices and gasoline prices in both the short- and long-run. In the case of diesel prices, on the other hand, the asymmetry effects seem likely to be a long-run phenomenon.

scholarly journals EVIDENCE OF AN ASYMMETRIC IMPACT OF THE DEVALUATION OF CURRENCY ON INFLATION:

2019 ◽  
Vol 4 (1) ◽  
pp. 101-103
Author(s):  
Ahmed Balarabe Musa
Keyword(s):  
Exchange Rate ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Non Linear ◽  
Short Run ◽  
Lag Model ◽  
Asymmetric Impact ◽  
The Impact

The research is aimed at evaluating the existence of asymmetry or otherwise of the impact of devaluation of currency on inflation in Malaysia for the period 1970 – 2017. Non-linear autoregressive distributed lag model (NARDL) was used as the evaluation econometric tool of the research. The findings of the study reveal that devaluation of currency has an inflationary impact in both short run and long run. Whereas, revaluation of currency does not have any impact neither in the short run nor in the long run. This confirms the upward flexibility of the impact of the increases in the changes in the exchange rate on inflation at the same time reaffirms its rigidity downward.

scholarly journals The impact of education tax and investment in human capital on economic growth in Nigeria

2020 ◽  
Vol 3 (2) ◽  
pp. 77-86
Author(s):  
Abubakar Aminu ◽  
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Tertiary Education ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Long Run ◽  
Lag Model ◽  
The Government ◽  
Capital Development ◽  
The Impact

This paper investigated the impact of education tax and investment in human capital on economic growth in Nigeria utilizing the Non-Linear Autoregressive Distributed Lag Model of cointegration covering the period of 25 years from 1995 to 2019. The findings reveal that education tax and investment in human capital have positive and significant effect on the growth of the Nigerian economy over the sampled period. The paper recommends that in order to boost the economy, Nigeria would need to, among other policy frameworks, provide a suitable environment for ensuring macro-economic stability through effective utilization of income from education tax that will encourage increased investment in human capital in the public sector. In addition to income from education tax, for effective and speedy economic growth and development in Nigeria, the government, beneficiaries (students/parents), employers of labor and other stakeholders in the society should share the responsibility for financing primary, secondary and tertiary education, so as to provide a solid foundation for human capital development. However, as revealed in this paper, the contribution of education tax and investment in human capital is most likely to be realized over a long-run period than in the short term. Keywords: Education Tax; Investment; Human capital; Economic growth

scholarly journals The Determinants of Food Prices in Pakistan

2012 ◽  
Vol 17 (1) ◽  
pp. 101-128 ◽  
Author(s):  
Henna Ahsan ◽  
Zainab Iftikhar ◽  
M. Ali Kemal
Keyword(s):  
Active Role ◽  
Food Prices ◽  
Significant Variable ◽  
Demand And Supply ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Lag Model

Controlling prices is one of the biggest tasks that macroeconomic policymakers face. The objective of this study is to analyze the demand- and supply-side factors that affect food prices in Pakistan. We analyze their long-run relationship using an autoregressive distributed lag model for the period 1970–2010. Our results indicate that that the most significant variable affecting food prices in both the long and short run is money supply. We also find that subsidies can help reduce food prices in the long run but that their impact is very small. Increases in world food prices pressurize the domestic market in the absence of imports, which cause domestic food prices to rise. If, however, we import food crops at higher international prices, this can generate imported inflation. The error correction is statistically significant and shows that market forces play an active role in restoring the long-run equilibrium.

scholarly journals Bounds Testing Approach to Cointegration: A Re-examination of FDI and Growth in Vietnam

2013 ◽  
Vol 218 ◽  
pp. 94-113
Author(s):  
ANH PHẠM THẾ ◽  
ĐÀO NGUYỄN THỊ HỒNG
Keyword(s):  
Economic Growth ◽  
Small Sample Size ◽  
Small Sample ◽  
Adjustment Process ◽  
Bounds Testing ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Long Run ◽  
Short Run ◽  
Lag Model

This study examines the econometric and empirical evidence of both causal and long-run relationship between foreign direct investment (FDI) and economic growth in Vietnam, covering a time span of 21 years from 1991 to 2012. The recent and robust methodology of bounds testing or autoregressive distributed lag model (ARDL) approach to Cointegration is employed for the empirical analysis. This technique can capture both short-run and long-run dynamics of variables, particularly in small sample size cases. The findings indicate the existence of a Cointegration relationship between the two time series and a modest adjustment process from short-run to long-run equilibrium. Further results from Granger causality tests conducted within the error correction model confirm a bi-directional causality between economic growth and FDI over the study period.

COINTEGRATED-BASED FORECAST OF LONG-RUN RELATIONSHIPS

2021 ◽  
Vol 14(63) (1) ◽  
pp. 153-168
Author(s):  
Klara-Dalma Deszke ◽  
Liliana Duguleana
Keyword(s):  
Vector Error Correction ◽  
Final Consumption ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Vector Error ◽  
Long Run ◽  
Lag Model ◽  
Relationship Of

The Vector Error Correction Model (VECM) and the Autoregressive Distributed Lag Model (ARDL) are used to estimate the cointegration in the case of long-run relationship of quarterly GDP and Final Consumption in Romania during the period 1995 – 2019. The actual data of 2020 Q1 and Q2 were used to check the best model’s validity. The static and dynamic approaches of the ARDL model were used to forecast the Final Consumption for Q3 and Q4 of the year 2020. Applying the cointegration model shows the long term relationship of GDP and Final Consumption, but also the effects of other factors, seen in the differences of Final Consumption from its Long-Run evolution, and comprised in the cointegrating terms.

The effect of minimum wages on consumption in Canada

2020 ◽  
pp. 103530462094995
Author(s):  
Young Cheol Jung ◽  
Adian McFarlane ◽  
Anupam Das
Keyword(s):  
Minimum Wage ◽  
Adult Population ◽  
Retail Trade ◽  
Minimum Wages ◽  
The Real ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Long Run ◽  
Lag Model ◽  
Wage Increases

We use Canadian data over the period of 1991Q1 to 2019Q2 to examine the effect of higher minimum wages on consumption, measured as the real retail trade sales per adult population. Such an examination is rare in the extant literature and it is timely given the increasing debate concerning the stimulus versus inflationary effects arising from wage polices because of COVID-19 global pandemic. We apply the autoregressive distributed lag model to determine the causal relationship between these variables. We find one long-run cointegrating relationship that runs from the real minimum wage to the real retail trade sales. In addition, we find that a 1% increase in the minimum wage is associated with almost a 0.5% increase in real retail trade sales in the long run. While our findings rest on several statistical assumptions, there is strong evidence in support of the position that minimum wage strengthens aggregate consumer spending, and thereby the standard of living, economic growth and stability. This is a position that differs from the conclusions drawn from mainstream academic and policy debates on the economic usefulness and efficacy of minimum wage increases. JEL Codes: C30, E21, E24

scholarly journals Milk Supply Response in Delaware

1980 ◽  
Vol 9 (1) ◽  
pp. 41-45 ◽  
Author(s):  
G. Joachim Elterich ◽  
Sharif Masud
Keyword(s):  
Milk Production ◽  
Negative Impact ◽  
Milk Supply ◽  
Supply Response ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Long Run ◽  
Milk Cows ◽  
Short Run ◽  
Lag Model

Milk supply response by dairy farmers in Delaware was analyzed employing distributed lag price structures for number of milk cows and milk production per cow. A polynominal distributed lag model is fitted to quarterly data with deflated prices for the period 1966 to 1978. The variations in the number of milk cows is explained by about 98 percent. Farmers react positively to milk prices after 1–2 years, while wages and feed prices have a negative impact on cow numbers. Milk production per cow shows positive adjustments to milk prices after 6 to 15 months. Technology and feed prices influence also milk production While the short-run price elasticity of milk production is only .2, the long-run aggregate elasticity grows to 2.8 percent. Intermediate-run projections of milk supply were also performed with the model.

scholarly journals Sectoral Investment and Employment Generation in Pakistan: An Econometric Analysis

2018 ◽  
Vol 4 (2) ◽  
pp. 261-270
Author(s):  
Furrukh Bashir ◽  
Hafeez ur Rehman ◽  
Rashid Ahmad ◽  
Ismat Nasim
Keyword(s):  
Time Series Data ◽  
Trade Openness ◽  
Percent Level ◽  
Series Data ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Long Run ◽  
Augmented Dickey Fuller ◽  
Lag Model ◽  
Employment Generation

This study is projected at investigating the influence of Sectoral Investment on Employment Generation. For this purpose, time series data is collected from Pakistan over the period from 1972 to 2017. Augmented Dickey fuller test reveals that few variables considered in the study are stationary at level and few at first difference. So, econometric results are estimated using autoregressive and distributed lag model for long run elasticities. Long run co-integrating relationship is established at 2.5 percent level using ARDL bound testing approach. ARDL long run results concludes that Agricultural Investment, Industrial Investment, Services Sector Investment and Trade openness are increasing employment while inflation and tax revenue are seemed to be negatively related with employment of Pakistan in the long run.

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