Imputation and Price Indexes: Theory and Evidence from the International Price Program
AbstractThe goal of this paper is to theoretically and empirically demonstrate the consequences of different imputation methods, using recent data from the International Price Program. We suppose that prices are missing due to random or erratic reporting. We consider three different imputation methods: carry-forward, which just assumes that the missing price is the same as in the previous period; cell-mean, which imputes the missing price using either the short-term or long-term index for related commodities; and linear interpolation, which uses the last and next observations for the item to linearly interpolate. Certain hybrid techniques, combining either carry-forward or cell-mean with linear interpolation, are also considered. Our conclusions are: (1) Some imputation is better than no imputation; (2) the short term cell-mean introduces some "noise" into the price index: (3) linear interpolation results in less fluctuation of prices than the true series: (4) combining either carry-forward or cell-mean with linear interpolation gives similar results.
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Bibliographic InfoPaper provided by University of California at Davis, Department of Economics in its series Working Papers with number 00-12.
Date of creation: Jun 2000
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Other versions of this item:
- Robert Feenstra & Erwin Diewert, 2003. "Imputation and Price Indexes: Theory and Evidence from the International Price Program," Working Papers 012, University of California, Davis, Department of Economics.
- Robert C. Feenstra & Erwin W. Diewert, . "Imputation and Price Indexes: Theory and Evidence from the International Price Program," Department of Economics 00-12, California Davis - Department of Economics.
- C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
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