While choosing the dependent variable for difference in difference in method, should I use a value in the pre-treatment year or intervention year or the difference between the two?
So should I subtract the values of pre- treatment year from post treatment year or the values of post treatment year from pre-treatment year or in any direction can I estimate the difference?
Sir, My treatment group is National Food Security implemented states in India and control group is Non-NFSA implemented group in India. My outcome variable is average quantity of rice consumed.
To do this, you can follow the following strategy.
1. Assume you have:
Group 1: National Food Security implemented states in India (call it group A)
Time period 1(T1)
Group 2. Non-NFSA implemented (call it group B)
Time period 2(T2)
2. Generate a control group dummy call it 'Sweety' which is equal to one if a company/person is in group A and zero otherwise, generate a time dummy call it 'time', which is equal to one if t=2 and zero otherwise
3. Create a dependent variable call it Yit (i.e the outcome variable, company performance for example) use the variable as is without difference (‘i’ refers to a person or company based on your data; t is the time ‘year or month’ according to your data), and then regress
No, according to this strategy you should use the dependent variable as is (without difference or delta). There is another strategy for which you have to use the difference in the dependent variable (delta), but it is a bit complicated and time consuming.