Hi all,
I aim at estimating the effect of job loss on the labor supply of the spouse using an event study. Since my panel is quite unbalanced, I would like to use nearest neighbor propensity score matching with replacement. I only want to allow for matches within the same displacement year/ event year. Furthermore, I would like to match on characteristics that refer to the year before the displacement.
So far I tried:
, where treated is a dummy, taking the value 1 if one is treated at some point during the observation period and 0 if one is not treated.
My question: How can I ensure that the characteristics on which the units are matched are pre-intervention traits? I defined already an "event"-variable, that takes the value -1 in the period before the event, 0 in the year of the event, 1 in the year after the event, and so on. However, it is only defined for the treated individuals. Therefore, I cannot just write
.
Thanks already now for your help!
Best,
Kathrin
I aim at estimating the effect of job loss on the labor supply of the spouse using an event study. Since my panel is quite unbalanced, I would like to use nearest neighbor propensity score matching with replacement. I only want to allow for matches within the same displacement year/ event year. Furthermore, I would like to match on characteristics that refer to the year before the displacement.
So far I tried:
Code:
egen matchyear = group(syear)
levels matchyear, local(gr)
foreach j of local gr {
probit treated $covariates if matchyear == `j'
predict double ps`j' if matchyear == `j'
psmatch2 treated if matchyear == `j', outcome(hh_income) pscore(ps`j') neighbor(15) ai(15)
}
My question: How can I ensure that the characteristics on which the units are matched are pre-intervention traits? I defined already an "event"-variable, that takes the value -1 in the period before the event, 0 in the year of the event, 1 in the year after the event, and so on. However, it is only defined for the treated individuals. Therefore, I cannot just write
Code:
if event == -1
Thanks already now for your help!
Best,
Kathrin

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