The team meeting will be held in 3 days from the date of the assignment and because of the limitation of time the Chief economist has given you the following guidelines: (a) Is there a trend in total accidents? (b) Is there seasonality in total accidents? (c) Consider the following change in the time series model: y = P1Yt-1+ u where ut follows a white noise process. What is the condition we need to impose on p1 in order for the series yt to be weakly stationary? Why? (d) Consider the following change in the time series model: y, = Bo + B1xt-1+ B2*t-2 + ug where y, is some outcome variable of interest, and x-1 and xt-2 are strictly exogenous explanatory variables. How would you test for the presence of serial correlation in the residual u? (e) Briefly explain how you would carry out econometric analysis of the model in (d) if u, is found to be stationary, but positively serially correlated.

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The team meeting will be held in 3 days from the date of the assignment and because of the limitation of
time the Chief economist has given you the following guidelines:
(a) Is there a trend in total accidents?
(b) Is there seasonality in total accidents?
(c) Consider the following change in the time series model: y; = P1yt-1 + ut
where ut follows a white noise process. What is the condition we need to impose on p1 in order
for the series yt to be weakly stationary? Why?
(d) Consider the following change in the time series model: y; = Bo + B1x1-1+ B2xt-2 + u
where y, is some outcome variable of interest, and x-1 and x-2 are strictly exogenous
explanatory variables. How would you test for the presence of serial correlation in the residual
uz?
(e) Briefly explain how you would carry out econometric analysis of the model in (d) if u, is found to
be stationary, but positively serially correlated.
Transcribed Image Text:The team meeting will be held in 3 days from the date of the assignment and because of the limitation of time the Chief economist has given you the following guidelines: (a) Is there a trend in total accidents? (b) Is there seasonality in total accidents? (c) Consider the following change in the time series model: y; = P1yt-1 + ut where ut follows a white noise process. What is the condition we need to impose on p1 in order for the series yt to be weakly stationary? Why? (d) Consider the following change in the time series model: y; = Bo + B1x1-1+ B2xt-2 + u where y, is some outcome variable of interest, and x-1 and x-2 are strictly exogenous explanatory variables. How would you test for the presence of serial correlation in the residual uz? (e) Briefly explain how you would carry out econometric analysis of the model in (d) if u, is found to be stationary, but positively serially correlated.
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