2003
DOI: 10.23986/afsci.5756
|View full text |Cite
|
Sign up to set email alerts
|

Cointegration and error correction modelling of agricultural commodity trade: The case of ASEAN agricultural exports to the EU

Abstract: The objecti e of this study is to increase our understanding of the specification and estimation of agricultural commodity trade models as well as to provide instruments for trade policy analysis. More specifically,the aim is to build a set of dynamic,theory-based econometric models which are able to capture both short-run and long-run effects of income and price changes,and which can be used for prediction and policy simulation under alternati e assumed conditions.A relati ely unrestricted,data determined,eco… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
4
0

Year Published

2004
2004
2019
2019

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 8 publications
(4 citation statements)
references
References 213 publications
(168 reference statements)
0
4
0
Order By: Relevance
“…Yet this approach of differencing non-stationary economic series into stationary series has been criticized for throwing out and ignoring valuable long-run equilibrium information (Engle and Granger (1987)). Intuitively, cointegration among a set of variables implies that there exist fundamental economic forces that make the variables move together stochastically over time (Niemi (2003); Urbain (1993)). These movements in variables are related in a predictable way to the discrepancy between observed and equilibrium states.…”
Section: Energy Spot-price Characteristics: Correlation and Cointegramentioning
confidence: 99%
“…Yet this approach of differencing non-stationary economic series into stationary series has been criticized for throwing out and ignoring valuable long-run equilibrium information (Engle and Granger (1987)). Intuitively, cointegration among a set of variables implies that there exist fundamental economic forces that make the variables move together stochastically over time (Niemi (2003); Urbain (1993)). These movements in variables are related in a predictable way to the discrepancy between observed and equilibrium states.…”
Section: Energy Spot-price Characteristics: Correlation and Cointegramentioning
confidence: 99%
“…Stationary series have a finite variance, transitory innovations from the mean, and tendency for the series to return to their mean value. This mean that a stationary series Yt for example, has a mean, variance and autocorrelation that is constant over time, implying that the error structure is time invariant (Adam, 1992;Tambi, 1999;Niemi, 2003). To carry out the unit root test for stationarity, the Dickey-Fuller (DF) and Augmented Dickey-Fuller (ADF) tests are used to examine each of the variables for the presence of a unit root (an indication of non-stationary).…”
Section: Methodsmentioning
confidence: 99%
“…( <1). The series has probability to return to its mean value, transitory innovations from the mean and a finite variance [13,14]. If ³1.…”
Section: Test For Stationaritymentioning
confidence: 99%