The file wj1.wk1 contains information on some variables:
GDP_e: Gross Domestic product of Spain (constant prices of 2010)
infl_e. Inflation rate of the Spanish economy
Dollarq: dollar vs euro nominal exchange rate 
pviv: housing price in Spain
The sample size coves the period 1995:1-2017:2 for all these variables. According to this information, you should:
a) test for seasonal/nonseasonal unit root null hypothesis
b) Interpret this result in economic terms
c) Determine the most appropriate ARIMA process
d) predict the values for 2017:3

Send  me the results in a Word document to the following eaddress: apleconometrics@gmail.com

The best prediction for 2017:3 ur_e will get the Francis Diebold badge. 
The best interpretacion of the economic implications of the unit root test results for the infl_e will 
get the James Stock badge.

These badges may be changed by + 0.5 points to be added to the final grade.