Beers Interpolation Lookup
Look up the interior Beers oscillatory interpolation multipliers (ordinary or modified fifth-difference form) for one single year of an age group and apply them to the grouped total and its four neighbouring groups.
Description
Look up the interior Beers oscillatory interpolation multipliers (ordinary or modified fifth-difference form) for one single year of an age group and apply them to the grouped total and its four neighbouring groups.
Look up the interior Beers oscillatory interpolation multipliers (ordinary or modified fifth-difference form) for one single year of an age group and apply them to the grouped total and its four neighbouring groups.1
When to use Beers Interpolation Lookup
Use this interpolation method to disaggregate or estimate values only when the grouped observations and coefficient layout match the method's required age ordering.
- Grouped totals
- Successive five-year group totals.
- Target group
- One-based position of the target group among the listed groups; must have two groups on each side.
- Single year
- Single year within the target group, from 1 (first year) to 5 (last).
- Method
- Beers ordinary or modified multiplier set.
How the method works
- Multipliers
- Five multipliers applied over the target group and its four neighbours.
- Interpolated value
- Interpolated single-year value obtained from the multipliers.
Limitations and assumptions
Interpolation creates model-based values rather than new observations. Edge groups, abrupt cohort changes, sparse counts, and coefficients intended for a different grouping scheme can produce implausible results.
Alternative or Complementary measures
Compare the interpolated series with a simpler linear allocation and inspect whether totals are preserved. When single-year observations exist, prefer them over values reconstructed from grouped data.
References
-
Interpolation — Wikipedia contributors
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