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The final and most important part of the methodology is the impulse response functions which will provide the most information with regards to the aim of the project. In order to analyse the variables response to an oil price shock, the VAR has to transform into its Moving Average representation. The moving average representation is necessary to find the impulse response function of the VAR model. In this project I will assess the impulse responses using the typical Cholesky Decomposition. From these responses, future responses of each variable to a shock in oil price can be analysed. Impulse responses display the response of the future values of each variable to a one standard deviation oil price shock, whilst making the assumption that the shock normalises and returns to zero in subsequent periods. Furthermore it is assumed that all other errors are also zero. The underlying thought behind shocking one variable whilst ensuring that the others remain constant is the most effective way of measuring the impact of an oil price shock on other macroeconomic variables. Therefore this section will form the strongest case as to whether natural oil price shocks impact positively or negatively on the key macroeconomic variables in the UK.
In 2007, based upon the Survey of Household Spending of 2005, Statistics Canada announced the following weights for the major spending categories tracked by the CPI.
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A mechanical engineer who is anticipating paying for his daughter's college education plans to start depositing money now (year 0) and continue through year 17. If he deposits $ 50
In the keynesian cross model, assume the consuption function is given by C=200=.75(Y-T) and planned investment=100, government purchases and taxes are each of them 100. a) Draw a g
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Determinants of balance of payments: Broadly speaking, trend behaviour of merchandise exports and imports along with their terms of trade, net invisible earnings and autono
Different approaches to measure aggregate output
brifly explian
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