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With the aim of this project to observe the impact of oil price shocks on macroeconomic indicators, testing for causality between these variables will establish whether or not, oil price changes explain changes in other variables. To carry this out, the VAR/Block Exogeneity Granger Causality Test will be performed. This test will estimate whether the oil price variables will Granger cause the remaining variables in the equation. This is achieved by analysing the p statistic at the relevant significance level. In addition to this, pairwise Granger Causality tests will be estimated. This is when each variable is tested purely against another to see whether one directly Granger causes the other.
example of ratio analysis
In 2010, Wonderlanders consumed 15 million liters of rum at an average price of $5 per liter. The Wonderland department of commerce has estimated that the price elasticity of the d
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Why is it important for policymakers to consider both the direct and indirect effects of public policies?
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