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      代做ECON 323 Econometric Analysis 2

      時間:2024-02-17  來源:  作者: 我要糾錯



      ECON 323: Econometric Analysis 2 - Winter 2024
      Due March 11, 2024, 11:30 am in class - output and interpre-
      tations due
      Intermediate Deadlines (all due online - only hand in the code and re-
      sults, not interpretations):
      (a)-(e): Due February 15, 11:59 pm
      (f)-(g) : Due February 29, 11:59 pm
      (h)-(i) : Due March 7, 11:59 pm
      Instructions: While cooperating on the assignment is encouraged, pla-
      giarism is not. I will only accept hand written assignment submitted in
      person. DO NOT SUBMIT YOUR ASSIGNMENT ELECTRONICALLY.
      Late assignments will receive a 10% penalty per day that it is late, up to
      the time that it is corrected in class, after which they will receive a mark
      of zero. Show your work as no marks will be allocated for the final an-
      swer alone. For the intermediate deadlines, the weight will be transferred
      to the final submission upon the upload of a vif to VIF.uwaterloo.ca or the
      self-declaration of an absence. No late assignments will be accepted for the
      intermediate deadlines.
      Use Stata or R to do these. If you choose to use another software, please
      get my approval at least a week before the assignment is due.
      Question 1
      Use the following series available on Statistics Canada  s website except
      where specified otherwise. Use all series for Canada as a whole using a
      monthly frequency.
       New motor vehicle sales, units, unadjusted (Table: 20-10-0001-01)
       Consumer Price Index, all items, (Table: 18-10-0004-01)
      1
       Residential Mortgage loans held in charter banks (Table: 36-10-0639-
      01)
       Population, 15+ y o (Table: 14-10-0017-01)
      Use the longest common time period available to do the assignment, but
      only collect data up to and including October 2023.
      (a) Report the summary statistics for the series mentioned above. Graph
      them and report all results.
      (b) Calculate the inflation rate and report summary statistics for the
      series.
      (c) Should you seasonally adjust your series? Why or why not? If you
      think that you should, calculate the new series and report their summary
      statistics.
      (d) Regress the number of new cars sold on the residential mortgage
      loans, population and the inflation rate. Report and interpret your results.
      (e) Should you control for trends? Justify and modify your answers in
      (d) as you see fit.
      (f) Introduce a lag of your dependent variable in your model. Why did
      you do this? What can you conclude from your results?
      (g) How many lags do you think would be optimal? Using methods
      covered in class, test your hypothesis.
      (h) Is serial correlation of the errors present in this model? Use two
      tests for different lag orders to determine this and only include 1 lag of the
      dependent variable in your model.
      (i) How can you correct for serial correlation of the errors of order 1?
      Either do it if you found that it existed in the previous question and discuss
      the change in your results or explain how it would affect your results if it
      had been present and why you think that it is in your model.
      請加QQ:99515681  郵箱:99515681@q.com   WX:codehelp 

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