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The treatment of unmatched items in rolling year GEKS price indexes: Evidence from New Zealand scanner data Jan de Haan, Statistics Netherlands Frances.

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Presentation on theme: "The treatment of unmatched items in rolling year GEKS price indexes: Evidence from New Zealand scanner data Jan de Haan, Statistics Netherlands Frances."— Presentation transcript:

1 The treatment of unmatched items in rolling year GEKS price indexes: Evidence from New Zealand scanner data Jan de Haan, Statistics Netherlands Frances Krsinich, Statistics New Zealand Geneva, May 2012

2 Outline Why traditional methods won’t work with scanner data - churn - price/quantity spiking RYGEKS Imputation Tornqvist RYGEKS (ITRYGEKS) Results on NZ consumer electronics data Geneva 20122

3 % June 2008 models still available Geneva 20123

4 Churn Geneva 20124

5 5 Digital cameras

6 Geneva 20126 6 Specification 1 Specification 2 January (1)February (2)March (3) Specification 3 Specification 4 Tornqvist:

7 Geneva 20127 Specification 1 Specification 2 January (1)February (2)March (3) Specification 3 Specification 4

8 Imputation Tornqvist RYGEKS (the weighted time dummy method) Geneva 20128

9 9

10 10

11 Geneva 201211

12 Volatility Geneva 201212

13 Aggregated to ‘consumer electronics’ Geneva 201213

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