The basic propensity score matching procedure works with cross-section data (ie collected at a certain point in time). The popular psmatch2 command uses a dummy variable indicating that an observations belongs to either the treatment or control group.
However, in my dataset this indicator-function is time-varying. The data looks as follows: I identify individuals and track them over a period of 12 years. At some point during this time period, individuals may get treated, so they "transfer from control to treatment group". Note that this can occur at any moment in time (sic!) for each individual.
Above that, my subsequent analysis would be time-dependent: From the moment the individuals are being treated, I want to estimate the ATT but only for the following year (sic!). Thus, I do not care anymore about the treated individuals 1 year after their treatment started.
psmatch2 seems to be very restrictive when it comes to that. Do you see any possibility on how to do that? Maybe there are also Matching Methods that allow me to do that.
P.S.: There is one similar question here in the forum, however it did not help me to solve this problem.