Abstract
This article gives a methodology for estimating an inflation index using the quantile regression of Bassett and Koenker. The regression – orthogonal in the logarithmic price changes – is computed by linear programming for each percentile of inflation; and the results are bootstrapped to estimate standard errors. The procedure is applied to monthly data on seven metals.
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