In $\text{Shimer (2012)}^1$ the author describes the evolution of the unemployment rate as follows:
$$\dot{u}_{t+\tau} = \dot{u}_t^s(\tau)-\left(u_{t+\tau}-u_t^s(\tau)\right)f_t,$$
where
$f_t = -log(1-F_t \geq 0 \dots$ arrival rate of a Poisson process,
$F_t \dots$ job finding probability,
$u_t^s(\tau)\dots$ short term unemployment rate,
$\tau \dots$ time between passed between two measurement points in a panel data set with monthly interviews.
With $u_t^s(0)=0$ as an initial condition we should be able to come up for a solution for $u_{t+1}$ and $u^s_{t+1} \equiv u^s_t(1)$:
$$u_{t+1}=(1-F_t)u_t + u^s_{t+1}.$$
Trying to get there on my own, I struggle to find a proper solution approach for this kind of differential equations, since this resembles nothing of what I've learnt so far.
I would appreciate if you could hint me towards the right direction so that I may solve this problem eventually.
$^1 \text{Shimer, Robert (2012) Reassessing the ins and outs of unemployment, doi:10.1016/j.red.2012.02.001}$