2018
DOI: 10.3917/dunod.bourb.2018.01
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Économétrie

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Cited by 27 publications
(28 citation statements)
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“…In this model, each variable is a function of both its own lagged values and the lagged values of the other variable. The two variables are assumed to be stationary (Bourbonnais, 2000). Granger (1969) proposed the concepts of causality and exogeneity: the variable x is the cause of y if the predictability of y is improved when information about x is incorporated in the analysis (Hamilton, 1994).…”
Section: Iv1-empirical Methodologymentioning
confidence: 99%
“…In this model, each variable is a function of both its own lagged values and the lagged values of the other variable. The two variables are assumed to be stationary (Bourbonnais, 2000). Granger (1969) proposed the concepts of causality and exogeneity: the variable x is the cause of y if the predictability of y is improved when information about x is incorporated in the analysis (Hamilton, 1994).…”
Section: Iv1-empirical Methodologymentioning
confidence: 99%
“…The identification test shows that our model is an over-identified model. As a result, the estimation methods that we can use in a model with simultaneous equations are triple least squares (3SLS), double least squares (2SLS) and the independent regressions method (SURE) (Bourbonnais, 2000 ). Moreover, we find that to produce good results, it is necessary to choose the triple least squares (3SLS) estimator which constitutes the effective method in this regard, giving a convergent and efficient estimator.…”
Section: Empirical Strategymentioning
confidence: 99%
“…On the other hand, the same table made us notice that no variable is stationary in level but rather in first difference. The variables are therefore stationary and all integrated of the same order I(1), which made us predict, according to Bourbonnais (2005), that there is a cointegrating vector.…”
Section: The Stationarity Testmentioning
confidence: 99%