This paper examines the use of autoregressive distributed lag (ARDL) models for the analysis of long-run relations when the underlying variables are I(1). It shows that after appropriate augmentation of the order of the ARDL model, the OLS estimators of the short-run parameters are p T -consistent with the asymptotically singular covariance matrix, and the ARDL-based estimators of the long-run ...

The main purpose of this paper is to evaluate the effect of crude oil price on global fertilizer prices in both the mean and volatility. The endogenous structural breakpoint unit root test, ARDL model, and alternative volatility models, including GARCH, EGARCH, and GJR models, are used to investigate the relationship between crude oil price and six global fertilizer prices. The empirical result...

The main purpose of this paper is to evaluate the effect of crude oil price on global fertilizer prices in both the mean and volatility. The endogenous structural breakpoint unit root test, ARDL model, and alternative volatility models, including GARCH, EGARCH, and GJR models, are used to investigate the relationship between crude oil price and six global fertilizer prices. The empirical result...

This paper re-examines Dornbusch’s (1976) sticky-price monetary model to exchange rate determination by employing both conventional Johansen’s (1988, 1990, 1994) maximum likelihood cointegration test and the ARDL Bound test by Pesaran, Shin, and Smith (2001) for the monthly data of Taiwan over the period 1986:01∼2003:04. Ambiguous results are found for the long-run equilibrium relationship betw...

This study aims at investigating the nature of the causal relationship between immigration and two macroeconomic indicators, GDP per capita and unemployment, in Sweden using autoregressive distributed lag (ARDL) bounds testing procedure and Granger-causality within vector error correction model (VECM) based on annual data spanning the period between 1980 and 2004. Results of the ARDL bounds tes...

This study employs auto-regressive distributed lag (ARDL) bounds approach to cointegration for long run and errorcorrection modeling (ECM) for short run analysis to examine the relationship between revenue gap and economic growth for Pakistan using annual time series data over the period 1980 to 2008. The short and long run results indicate that revenue gap is statistical significant and negati...

The main purpose of this paper is to evaluate the effect of crude oil price on global fertilizer prices in both the mean and volatility. The endogenous structural breakpoint unit root test, the autoregressive distributed lag (ARDL) model, and alternative volatility models, including the generalized autoregressive conditional heteroskedasticity (GARCH) model, Exponential GARCH (EGARCH) model, an...

JEL Classification: F16, F43 This study examines the impacts of CO2 emissions on economic growth of Vietnam for the period 1986-2015 by using Autogressive Distributed Lag (ARDL) model. The results reveal that there is cointegration relationship between CO2 emissions and economic growth. In the long run carbon dioxide emissions have a significant negative impact on Vietnam economic growth. There...

nowadays, agricultural r&d provides new and developed technologies to create modern agricultural producing methods. during recent years, improving agricultural productivity is affected by not only domestic r&d investments but also foreign countries r&d investments. nowadays, according to new growth models, r&d is the base of productivity. recent economic theories consider agricu...

This study uses the Autoregressive Distributed Lag (ARDL) model to study the dynamic determinant factors that influence both long and short-term international tourism demand in Cambodia from 12 countries. The annual time series data (1994–2013) are used in this study. The study finds that only the international tourism demand model of Australia, Canada, Thailand, the United Kingdom, and USA are...