Tatyana Bogomolova, Gregorio Impavido, Montserrat Pallares-Miralles

# **III INFORMATION ON COVERED POPULATIONS**

## **_III.A Data availability_**

We have decided to divide (and simulate separately) teachers from other covered populations (central government civil servants, judiciary, doctors, local authority civil servants, prisons and police). Their different characteristics such as wages, age composition of the covered population, system dependency ratio, _etcetera_ , play an important role in modeling. Consequently, two sets of data, one for teachers and one for civil servants, were collected as described below.

Pensioner data was provided by MPS, active member data was provided by MPS and MOFPED. Individual records of selected fields (age, gender, income, length of service) were provided for both active employees and beneficiaries, among traditional civil servants, local authorities and teachers. The following, is a complete list of data received directly and derived from the provided database for the base year of 2003/04:

- a) Total number, as well as age (by single year age groups) and gender composition of public servants.  Initially, these data included contractors and other nonpensionable categories of workers.  Therefore, an additional dataset of individual records was provided.  This allowed us to separate employees who are under pensionable and non-pensionable categories.  As this dataset contained serious deficiencies (particularly on birth dates), several approximations were used.  For instance, we ignored information on active employees younger than 14 years old. According to the dataset, only less than 3 percent of all active employees are nonpensionable: i.e., they do not accrue pension rights.

- b) Wage distribution of active members by income brackets and gender.  These data also included contractors and other non-pensionable categories of workers and had to be adjusted accordingly.

- c) Age and gender distribution of wages (average wage for each single year age and gender group).  As for a) and b) above, the dataset of individual records had to be adjusted to separate the non-pensionable from the pensionable categories of civil servants.

- d) Age and gender distribution of new active members, recruited in 2003-2004.

- e) Total number as well as age (by single year age groups) and gender composition for the stock of pensioners.  The complete pensioner individual database was only available for all pensioners – old-age pensioners and survivors – together and did not contain fields indicating the beneficiary category.  In addition, a representative sample of pensioner individual records (8,609 records) containing beneficiary category indicators was provided, though these data were not segregated by gender.  The sample was used as a basis for separating survivors from old-age pensioners in the total beneficiary population.

- f) Income distribution for the stock of pensioners.  These data were also lumped together for all beneficiary categories, however – since survivors receive 100% of old age pensions of the deceased individuals – it was assumed that this distribution applies also to the stock of old age pensioners.

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