Measuring the Effect of an Advertisement
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I am currently working on an analysis to see the effects of an ad campaign in Florida. I have 2080 observations (40 stores across 52 weeks) and there are 6 states represented. The ad happened during weeks 16 to 27 in Florida. My model is as follows:
Weekly Revenue = constant + B1 * Week2 Dummy + ... + B51 * Week 52 Dummy + B52 * Florida Dummy + B53 * Alabama Dummy + B54 * Georgia Dummy + B55 * South Carolina Dummy + B56 * North Carolina Dummy + B57 * Florida Dummy * Dummy for Weeks 16 - 27
Does this seem sound to you? I included the state dummies to capture the different time-invariant effects associated with the states. I also omitted a single dummy variable that's specifically for Weeks 16 - 27 since it was perfectly collinear with the time dummies for each week. Here, the coefficient of interest is B57. Any critiques/suggestions?
Thanks!
regression
asked Nov 10 at 3:45
Smw10c
4
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up vote
0
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I am currently working on an analysis to see the effects of an ad campaign in Florida. I have 2080 observations (40 stores across 52 weeks) and there are 6 states represented. The ad happened during weeks 16 to 27 in Florida. My model is as follows:
Weekly Revenue = constant + B1 * Week2 Dummy + ... + B51 * Week 52 Dummy + B52 * Florida Dummy + B53 * Alabama Dummy + B54 * Georgia Dummy + B55 * South Carolina Dummy + B56 * North Carolina Dummy + B57 * Florida Dummy * Dummy for Weeks 16 - 27
Does this seem sound to you? I included the state dummies to capture the different time-invariant effects associated with the states. I also omitted a single dummy variable that's specifically for Weeks 16 - 27 since it was perfectly collinear with the time dummies for each week. Here, the coefficient of interest is B57. Any critiques/suggestions?
Thanks!
regression
asked Nov 10 at 3:45
Smw10c
4
You might have more luck asking on Cross Validated
– Simon
Nov 13 at 1:53
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
I am currently working on an analysis to see the effects of an ad campaign in Florida. I have 2080 observations (40 stores across 52 weeks) and there are 6 states represented. The ad happened during weeks 16 to 27 in Florida. My model is as follows:
Weekly Revenue = constant + B1 * Week2 Dummy + ... + B51 * Week 52 Dummy + B52 * Florida Dummy + B53 * Alabama Dummy + B54 * Georgia Dummy + B55 * South Carolina Dummy + B56 * North Carolina Dummy + B57 * Florida Dummy * Dummy for Weeks 16 - 27
Does this seem sound to you? I included the state dummies to capture the different time-invariant effects associated with the states. I also omitted a single dummy variable that's specifically for Weeks 16 - 27 since it was perfectly collinear with the time dummies for each week. Here, the coefficient of interest is B57. Any critiques/suggestions?
Thanks!
regression
asked Nov 10 at 3:45
Smw10c
4
I am currently working on an analysis to see the effects of an ad campaign in Florida. I have 2080 observations (40 stores across 52 weeks) and there are 6 states represented. The ad happened during weeks 16 to 27 in Florida. My model is as follows:
Weekly Revenue = constant + B1 * Week2 Dummy + ... + B51 * Week 52 Dummy + B52 * Florida Dummy + B53 * Alabama Dummy + B54 * Georgia Dummy + B55 * South Carolina Dummy + B56 * North Carolina Dummy + B57 * Florida Dummy * Dummy for Weeks 16 - 27
Does this seem sound to you? I included the state dummies to capture the different time-invariant effects associated with the states. I also omitted a single dummy variable that's specifically for Weeks 16 - 27 since it was perfectly collinear with the time dummies for each week. Here, the coefficient of interest is B57. Any critiques/suggestions?
Thanks!
regression
regression
asked Nov 10 at 3:45
Smw10c
4
asked Nov 10 at 3:45
Smw10c
4
asked Nov 10 at 3:45
Smw10c
4
asked Nov 10 at 3:45
Smw10c
4
asked Nov 10 at 3:45
Smw10c
4
4
You might have more luck asking on Cross Validated
– Simon
Nov 13 at 1:53
add a comment |
You might have more luck asking on Cross Validated
– Simon
Nov 13 at 1:53
You might have more luck asking on Cross Validated
– Simon
Nov 13 at 1:53
You might have more luck asking on Cross Validated
– Simon
Nov 13 at 1:53
add a comment |
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You might have more luck asking on Cross Validated
– Simon
Nov 13 at 1:53