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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.
Two firms, producing an identical good, engage in price competition. The cost functions are c1 (y1) = 1:17y1 and c2 (y2) = 1:19y2, correspondingly. The demand function is D(p) = 80
Equilibrium in both the goods and in the money market If both the goods- and the money markets are to be in equilibrium... ...if P increases, Y must fal
Assume a competitive industry with two hospitals. The hospitals compete in price (such that P = MC ), face the inverse demand curve =10 - Q , and have a constant marginal cost of
what are the limitation of economies scales
Suppose the ABC chemical company discovers a drug that cures the common cold. ABC has plants in Europe and in the United States and can produce the drug in either continent at a ma
Compare Money with wealth and income Money isn't the same as wealth. An individual may be very wealthy however have no money (for instance by owning stocks and real estate). An
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Analyze the relationship between the production possibilities curve and the circular flow diagram. Discuss how the change of production possibilities curve affects the circular flo
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