Econometrics Statistical Analysis Homework Study Help Using STATA

I have several problems my teacher gave us to use to study for the test. I want to make sure I have these study questions done correctly so I do them right the day of the test. ## Deliverables Here are the practice problems I would like solved with very basic analysis (one or two sentences) for each part. The rar contains the pdf with the pages from the textbook for problems 2, 3, and 4 as well as all the data files in .dta format. Since this should only take 2-3 hours, I would like to have it done by 1:00pm Pacific Time October 16, so I can study for my test the following day. All I need is your log file in STATA which you could also write your notes in. 1. The file [login to view URL] contains 157 weekly observations on sales revenue (SALES) and advertising expenditures (ADV) in millions of dollars for a large Midwest department store for 2005-2007. Estimate the model in double log form and answer the following questions: ln(SALESt) = β0 + β1ln(ADVt) + εt a. Interpret the coefficient of lnADVt. b. Are εt heteroskedastic? Why or why not? c. Are εt serially correlated? Why or why not? d. Find two 95% confidence intervals for the elasticity of advertising-one using least squares standard errors and the other assuming the error is an AR(1) process. What are the consequences for interval estimation when serially correlated errors are ignored? e. Estimate an ARDL(1,1) model (autoregressive distributed lag). What restrictions are necessary on the coefficients of this model to make it equivalent to the model assuming the error is AR(1) process? Test these restrictions using a 5% level of significance. 2. Question 7.16 (b)-(e), on pages 194 and 195 of Hill. 3. Question 10.2 on pages 292-293 of Hill. 4. Question 10.9 on pages 296-297 of Hill.