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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.
Suppose the US and Mexico both produce semiconductors and auto parts and the US has a comparative advantage in semiconductors while Mexico has a comparative advantage in auto parts
Have the micro-finance institutions failed in their objectives?
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Assuming an economy with no government and no foreign trade. Measure GDP for the following output scenario: There are three firms: firm A is a minning company, firm B is a stee
calculation of fiscal deficit
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What are the important tools to consider Monetary Policy? Important tools to consider Monetary Policy: a. What the money demand curve is b. Why the liquidity preference m
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