We use Stata for Analysis, please include commands used. 1. (Practice) You've been hired to determine the impact of advertising on gross sales revenue for "Four Musketeers" candy bars. Four Musketeers has the same price and more or less the same ingredients as competing candy bars, so it seems likely that only advertising affects sales. You decide to build a model of sales as a function of advertising, but you're not sure whether a distributed lag or a dynamic model is appropriate. Using the data provided in the file, estimate a distributed lag model (4 lags) and a dynamic model showing 4 lags. Compare the coefficient estimates of the two models and which model do you think is best? Test for serial correlation in the estimated dynamic model. OBS YEAR SALES AD 1 1981   30 2 1982   35 3 1983   36 4 1984 320 39 5 1985 360 40 6 1986 390 45 7 1987 400 50 8 1988 410 50 9 1989 400 50 10 1990 450 53 11 1991 470 55 12 1992 500 60 13 1993 500 60 14 1994 490 60 15 1995 580 65 16 1996 600 70 17 1997 700 70 18 1998 790 60 19 1999 730 60 20 2000 720 60 21 2001 800 70 22 2002 820 80 23 2003 830 80 24 2004 890 80 25 2005 900 80 26 2006 850 75 27 2007 840 75 28 2008 850 75 29 2009 850 75

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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We use Stata for Analysis, please include commands used.

1. (Practice) You've been hired to determine the impact of advertising on gross sales revenue for "Four Musketeers" candy bars. Four Musketeers has the same price and more or less the same ingredients as competing candy bars, so it seems likely that only advertising affects sales. You decide to build a model of sales as a function of advertising, but you're not sure whether a distributed lag or a dynamic model is appropriate. Using the data provided in the file, estimate a distributed lag model (4 lags) and a dynamic model showing 4 lags. Compare the coefficient estimates of the two models and which model do you think is best? Test for serial correlation in the estimated dynamic model.

OBS YEAR SALES AD
1 1981   30
2 1982   35
3 1983   36
4 1984 320 39
5 1985 360 40
6 1986 390 45
7 1987 400 50
8 1988 410 50
9 1989 400 50
10 1990 450 53
11 1991 470 55
12 1992 500 60
13 1993 500 60
14 1994 490 60
15 1995 580 65
16 1996 600 70
17 1997 700 70
18 1998 790 60
19 1999 730 60
20 2000 720 60
21 2001 800 70
22 2002 820 80
23 2003 830 80
24 2004 890 80
25 2005 900 80
26 2006 850 75
27 2007 840 75
28 2008 850 75
29 2009 850 75

 

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