The Debiasing of Forecasts in Research and Development

A possible way to improve the accuracy of forecasts is to estimate (and subsequently remove) any systematic bias by reference to the bias found in similar forecasts in the past. This paper discusses the applicability to industrial R & D of a method proposed by Summers for debiasing estimates of...

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Bibliographic Details
Main Author: THOMAS, Howard
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 1971
Subjects:
Online Access:https://ink.library.smu.edu.sg/lkcsb_research/3928
https://doi.org/10.1111/j.1467-9310.1971.tb00069.x
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Institution: Singapore Management University
Language: English
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Summary:A possible way to improve the accuracy of forecasts is to estimate (and subsequently remove) any systematic bias by reference to the bias found in similar forecasts in the past. This paper discusses the applicability to industrial R & D of a method proposed by Summers for debiasing estimates of the costs of military projects by means of a regression equation derived from past experience, and gives the results of applying a similar method to estimates of costs, sales, product prices, and return factors for ten industrial development projects.