Question Description
Need writer who understand and can use R-language.
Check the detailed of the assignments before place an order.
Here is part of the assignment, full assignment check the attached file.
1. Give an example in which a static time-series model might be appropriate. Briey explain why it isappropriate.2. Give an example in which a static time-series model would not be appropriate. Write down a dynamicmodel that would deal with the shortcomings of the failed static model.3. Why are dynamic models with lagged dependent variables biased with OLS? Which of our assumptionsdo they violate? To answer this question, write out an ADL(1,0) model for time and time .Problem 4.Imagine that we are interested in estimating the effect of monthly oil prices on monthly gasoline prices.The dataset price_oil_gasoline.csv contains these pricesthe monthly average oil price (the price indollars per barrel of Brent Crude oil, as measured by the US EIA) and the monthly average price of all gadesgasoline, as measured by the US EIA).