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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.
Consider the following homogenous difference equation: xt=b0+b1xt-1 a) Iterate backwards xt can be written in terms of xt-2. b) Now show xt can be written in terms of xt-3 a
Q. Construction of real gross domestic product ? To be able to make reasonable comparisons of GDP over time, we should adjust for inflation. For instance, if prices are doubled
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critically examine the keynesian theory of unemployment
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Individual A has UA(XA,YA)=lnXA+2YA and has $500. PX=5 and PY =10. (a) Find the optimum. Show that it is indeed the maximum. (b) PX=10. Find the new optimum. (c) Calculate
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