Karup King Third Difference Lookup

Look up the Karup-King third-difference interpolation factors for one single year of an age group and apply them to the grouped total with its two immediate neighbouring groups.

Description

Look up the Karup-King third-difference interpolation factors for one single year of an age group and apply them to the grouped total with its two immediate neighbouring groups.

Look up the Karup-King third-difference interpolation factors for one single year of an age group and apply them to the grouped total with its two immediate neighbouring groups.1

When to use Karup King Third Difference 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 one group on each side.
Single year
Single year within the target group, from 1 (first year) to 5 (last).

How the method works

Multipliers
Three multipliers applied over the target group and its 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

  1. Interpolation — Wikipedia contributors

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