Abstract WP08-06

Rachel Racelis and J.M. Ian Salas. A Note on Defining the Dependent Population Based on Age

Dependent population is defined as that part of the population that does not work and relies on others for the goods and services they consume. In practice, specific population age groups have in their entirety been categorized as dependent population, even while the definition may not necessarily apply to every individual in the population with the indicated ages. In general those categorized as dependents include the children and the elderly. The rest of the population constitutes the working age population. The delineation of any boundary for children and for working ages varies across countries and studies, has tended to be discretionary, and thus appears arbitrary. In the Philippines the delineation is based on the legal definition for working ages set at 15 to 64 years (with provision for early retirement at age 60 years.). The implied dependent ages in the Philippines are then 0-14 years and 60 or 65 years and older. The dependent ages used in the OECD definition for dependency ratio are under 20 and over 64. In other studies, children include those in the population up to age 18 or 20 and those in the working ages limited to 59 years or younger. This paper shows that the dependent population(s) defined based on a given set of age cut-offs are generally heterogeneous in terms of personal attributes, particularly in terms of indicators of dependency or non-dependency. Thus, the population defined by any given age boundaries may satisfy some indicators of dependency but not others. That is, the age boundary delineated using one dependency indicator, as reference, could be found unsatisfactory when assessed based on a different indicator. Those considering the use of any defined set of age boundaries to identify the dependent populations, whether for research or for the implementation of support programs, should first assess the appropriateness of the boundaries for the intended use. Identifying the dependency indicators relevant to the intended use would facilitate the assessment.

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