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Spatial Interpolation and Disaggregation of Multipliers
Author(s) -
Oosterhaven Jan
Publication year - 2005
Publication title -
geographical analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.773
H-Index - 65
eISSN - 1538-4632
pISSN - 0016-7363
DOI - 10.1111/j.1538-4632.2005.00522.x
Subject(s) - interpolation (computer graphics) , multiplier (economics) , econometrics , multivariate interpolation , aggregate (composite) , mathematics , survey data collection , statistics , economics , computer science , bilinear interpolation , macroeconomics , materials science , computer graphics (images) , composite material , animation
Most non‐survey methods of estimating single‐region multipliers have been shown to produce a systematic upward bias, unless a considerable amount of “superior” data is added. Here it is argued that this conclusion does not need to apply to the case of a non‐survey, spatial disaggregation of multipliers. The method proposed consists of four steps with two substantive formulas. The first secures the non‐survey interpolation of the lacking intra‐regional multipliers for the smaller regions by means of regression. The second secures the non‐survey spatial disaggregation of the inter‐regional spillovers by means of second‐order distance decays. The method is illustrated numerically by means of the interpolation and disaggregation of the 2 × 14 Type II biregional employment multipliers for aggregate Dutch regions into one 40 × 40 inter‐regional employment multiplier matrix for the Netherlands as a whole.