Dear all,
i want to conduct the following regression:
I have a dataset of bank branches handing out credit sums over the years from 2010 to 2022 (on a monthly base). I want to conduct a panel regression if Worldbank projects closeby have an effect on the disbursed sums over the years.
I assigned the closest bank branch to each World Bank project to conduct a difference in difference approach. However, some bank branches are the closest to two or more World bankprojects. Hence, they are duplicates in my dataset.
e.g.
Worldbank project x ..... closest bank branch y ... year 2013 .... disbursed sum of bank branch y
Worldbank project z...... closest bank branch y.... year 2013..... disbursed sum of bank branch y
Therefore, i receive error messages of repeated time values for the branch. Also, the disbursed sum of bank branch y is of course two times the same in the year 2013 and cannot be divided (since it is the effect of the World Bank project on this sum, which i want to evaluate).
Any suggestions on how i could solve that without dropping one of the observations?
thank you very much,
Simon
i want to conduct the following regression:
I have a dataset of bank branches handing out credit sums over the years from 2010 to 2022 (on a monthly base). I want to conduct a panel regression if Worldbank projects closeby have an effect on the disbursed sums over the years.
I assigned the closest bank branch to each World Bank project to conduct a difference in difference approach. However, some bank branches are the closest to two or more World bankprojects. Hence, they are duplicates in my dataset.
e.g.
Worldbank project x ..... closest bank branch y ... year 2013 .... disbursed sum of bank branch y
Worldbank project z...... closest bank branch y.... year 2013..... disbursed sum of bank branch y
Therefore, i receive error messages of repeated time values for the branch. Also, the disbursed sum of bank branch y is of course two times the same in the year 2013 and cannot be divided (since it is the effect of the World Bank project on this sum, which i want to evaluate).
Any suggestions on how i could solve that without dropping one of the observations?
thank you very much,
Simon
Comment