Hi everybody,
I would like to run a regression with following variables:
++++++
reg logquantity logprice logPriceCustomersegment1 logPriceCustomersegment2 logPriceAdvertisment1 logPriceAdvertisment2 logPriceMarket1 logPriceMarket2 logPriceMarket3 logPriceMarket4 logPriceMarket5 i.season …..
+++++
I have more or less 5 dummy variables transformed in a log variable with 3 – 6 expressions for each dummy variable, see above. I already know that I have to drop one of the expressions per dummy variable to avoid collinearity.
Now my problem is that I would like to run regressions for thousands of different articles, but often my dummy variables are omitted because of collinearity. Is there a solution how to avoid collinearity? Or is there a command like the “i.” for log-dummy-variables.
Thank you so much.
I would like to run a regression with following variables:
++++++
reg logquantity logprice logPriceCustomersegment1 logPriceCustomersegment2 logPriceAdvertisment1 logPriceAdvertisment2 logPriceMarket1 logPriceMarket2 logPriceMarket3 logPriceMarket4 logPriceMarket5 i.season …..
+++++
I have more or less 5 dummy variables transformed in a log variable with 3 – 6 expressions for each dummy variable, see above. I already know that I have to drop one of the expressions per dummy variable to avoid collinearity.
Now my problem is that I would like to run regressions for thousands of different articles, but often my dummy variables are omitted because of collinearity. Is there a solution how to avoid collinearity? Or is there a command like the “i.” for log-dummy-variables.
Thank you so much.
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