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Pro spesiaalisimulaatio
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User interface for simulating probabilities and
averages related to members' background

#### Probability of unemployment, lay off, family leave and
job alternation leave.
Average wages, days of sickness, working hours, ...

First time please press the *Activate* button.
Simulations are updated when changing one of the background variables.

These calculations are based on *
statistical (logistic, poisson, gamma, linear,...)
regression models*
using Pro's *register data* (2011-) and
the *labour market surveys* (2009-).
Input certain background information and click to see
the most probable values according to the models and the data.
Note to take the estimates as a crude approximation
of the reality... so far the estimates are without
statistical error margins. The default value
corresponds to the first classes of the variables.
(e.g. M = Male, age group = 20-29). Simulations are most
accurate with Business sector and Gender (the models using interaction term).

a) Estimated using measures as follows:
length of weekly working hours, sick leave days,
length of vacation (in months), number of working days in a week (of 7),
level of unemployment, lay-off, family leave and job alternation leave.
Effecient working hours = "hours at work" * (1- relative proportion
of pauses) (e.g. lunchs) during working day.
The estimate is the average time value of labour input (per worker).
Total aggregate level of the labour input by Pro's members can be
calculated multiplying average (whole Pro) hours with the number
of Pro's members at working age (about 92 000 in year 2015).
There's 365.25*24=8766 hours in a year. So e.g. 1800 hours is
100*(1800/8766)=21 % of the total time length of the year.

b) Composite index (0-100) of variables: "job description updated",
"factors of wage determination explained", "discussion of wages" and
"quantity and quality of jobs (of different workers) are compared".

c) Being at least in one of the situations: non-permanent job,
temporary work (vuokratyö) or zero-hour contract.

2016/pp, updated = 2022.