Hello all,
I've been trying to preform this statistical analysis for a while, but its been tough as I lack the proper stats and stata background so any help would be appreciated. Essentially my project looks at the different variances of a apology healthcare law in order to see which one has been most effective at lowering payment costs and incidences of malpractice. My variables in general are: malpayment2 (the payment ammount accounted for with inflation), before(0= the 1-3 years before treatment, 1 = 3-5 years after treatment), before2(for the states that don't have the law I used the 0 = average 1-3 years before and 1 = the average of 3-5 years after, this is a control), apology(1=state has this healthcare law, 0= state doesn't have this healthcare law), and finally I have three other variants of this law: genexp(1=state has specific type of apology law, 0= has apology law but not this specific one, .= state has no apology law), and same idea for protfault, and disclos variables.
Now if you're still able to follow along, I think a differences in differences model would be most effective at seeing which one of these variances of the law (apology) has been most effective at lowering malpractice costs (malpayment2) and the observations. I downloaded diff with "ssc install diff" and have been messing around with it but I feel like it is still not giving me the results I want. Should I maybe use a DDD model so I could compare the control group to the treatment group to the specific variances perhaps? Any help would be appreciated.
I've been trying to preform this statistical analysis for a while, but its been tough as I lack the proper stats and stata background so any help would be appreciated. Essentially my project looks at the different variances of a apology healthcare law in order to see which one has been most effective at lowering payment costs and incidences of malpractice. My variables in general are: malpayment2 (the payment ammount accounted for with inflation), before(0= the 1-3 years before treatment, 1 = 3-5 years after treatment), before2(for the states that don't have the law I used the 0 = average 1-3 years before and 1 = the average of 3-5 years after, this is a control), apology(1=state has this healthcare law, 0= state doesn't have this healthcare law), and finally I have three other variants of this law: genexp(1=state has specific type of apology law, 0= has apology law but not this specific one, .= state has no apology law), and same idea for protfault, and disclos variables.
Now if you're still able to follow along, I think a differences in differences model would be most effective at seeing which one of these variances of the law (apology) has been most effective at lowering malpractice costs (malpayment2) and the observations. I downloaded diff with "ssc install diff" and have been messing around with it but I feel like it is still not giving me the results I want. Should I maybe use a DDD model so I could compare the control group to the treatment group to the specific variances perhaps? Any help would be appreciated.
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