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please ans all parts 20. Consider a time-series variable Y. a)...

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please ans all parts
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20. Consider a time-series variable Y. a) What kinds of variables are likely to be non-stationary? How can such variables be made stationary? Give two examples for each. (35 marks) b) Why is it in general important to test for non-stationarity in time series data before attempting to build an empirical model? (35 marks) c) Define the following terms and describe the processes that they represent i) Weak stationarity ii) Deterministic trend ii) Stochastic trend (30 marks) 20. Consider a time-series variable Y. a) What kinds of variables are likely to be non-stationary? How can such variables be made stationary? Give two examples for each. (35 marks) b) Why is it in general important to test for non-stationarity in time series data before attempting to build an empirical model? (35 marks) c) Define the following terms and describe the processes that they represent i) Weak stationarity ii) Deterministic trend ii) Stochastic trend (30 marks)

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