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Evaluating the Survey of Professional Forecasters probability distributions of expected inflation based on derived event probability forecasts

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Clements, Michael P.. (2006) Evaluating the Survey of Professional Forecasters probability distributions of expected inflation based on derived event probability forecasts. Empirical Economics, Vol.31 (No.1). pp. 49-64. ISSN 0377-7332

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Official URL: http://dx.doi.org/10.1007/s00181-005-0014-9

Abstract

Techniques are proposed for evaluating forecast probabilities of events. The tools are especially useful when, as in the case of the Survey of Professional Forecasters (SPF) expected probability distributions of inflation, recourse cannot be made to the method of construction in the evaluation of the forecasts. The tests of efficiency and conditional efficiency are applied to the forecast probabilities of events of interest derived from the SPF distributions, and supplement a whole-density evaluation of the SPF distributions based on the probability integral transform approach.

Item Type: Journal Article
Subjects: H Social Sciences > HC Economic History and Conditions
H Social Sciences
Divisions: Faculty of Social Sciences > Economics
Journal or Publication Title: Empirical Economics
Publisher: Physica-Verlag GmbH und Co.
ISSN: 0377-7332
Date: March 2006
Volume: Vol.31
Number: No.1
Number of Pages: 16
Page Range: pp. 49-64
Identification Number: 10.1007/s00181-005-0014-9
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
URI: http://wrap.warwick.ac.uk/id/eprint/33705

Data sourced from Thomson Reuters' Web of Knowledge

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