15
Table 2.
Effects on the sickness benefits (SB) Unemployment (U) and disability
benefits (DB) after 15 months, in February 2009.
(1)
SB
(2)
U
(3)
DB
(4)
Sassam
First step (effect on treatment)
0.164***
(0.008)
-
-
-
Reduced form or ITT
-
0.002
(0.007)
-0.001
(0.001)
0.008**
(0.004)
LATE
-
0.013
(0.044)
-0.003
(0.035)
0.051**
(0.022)
AM
First step (effect on treatment)
0.044***
(0.011)
-
-
-
Reduced form or ITT
-
-0.010
(0.011)
-0.010
(0.008)
0.003
(0.005)
LATE
-
-0.238
(0.259)
-0.217
(0.197)
0.059
(0.121)
Notes
: Estimation of linear regression models with ordinary least squares (OLS) and
two-stage least squares (2SLS) with covariates (gender, age (5 levels),
employed/unemployed/other, full time/part time sick reported, daily
compensation (4 levels), date of first assessment (three intervals), married,
educational level (4 levels), length of current sick-leave period (4 levels), sick-
leave history (4 levels), disability benefit history (yes/no), unemployment history
(3 levels), region (22 levels).
4.2
Dynamics and Residual State
The effect on DB of being assessed early is large and also surprising. If anything we
would have expected the interventions performed by SIA to bring the sick absent
individual closer to the labor market rather than the opposite. Since we have detailed
data we have the opportunity to study not only the long-run effect but also the dynamics
of the treatment effects, and we can also further investigate how the early interventions
affect labor supply.
4.2.1
Dynamics
In order to study the dynamics of the treatment effects we use the logit regression model
and estimate the effect of being prioritized or assessed early on the log odds of being in
labor market states,
j, j =
unemployment, sickness and disability benefits
,
at the end of
month,
m, m =
1,…,15
,
after the experiment. By using the logit regression model we can
increase the efficiency and remove any potential observed confounding in the estimation
by controlling for individual characteristics,
. We have, however, also estimated effects
without control variables.
