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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Forecast Evaluation Methods: Introduction of selected modelfree methods to evaluate specific forecast series and to compare pairwise competing series

Forecast Evaluation Methods: Introduction of selected modelfree methods to evaluate specific forecast series and to compare pairwise competing series

Undorf, Frank

Paperback

Business GeneralEconomics

ISBN10: 3668798540
ISBN13: 9783668798540
Publisher: Grin Verlag
Published: Oct 24 2018
Pages: 32
Weight: 0.12
Height: 0.08 Width: 5.83 Depth: 8.27
Language: English
Seminar paper from the year 2016 in the subject Economics - Statistics and Methods, grade: 1,0, University of Cologne (Institut für Ökonometrie und Statistik), course: Seminar Statistics and Econometrics, language: English, abstract: This seminar paper aims to briefly introduce selected modelfree methods which can be used both to evaluate specific forecast series and to compare pairwise competing series of forecasts. Problems arising from parameter estimation uncertainty and nested forecast generating models are illuminated curtly. The model-free methods will be applied to three series of annual german economic forecasts from 1970 - 2015 provided by the joint forecast and the Council of Economic Advisors. It turns out that the forecast accuracy matches the chronology of the forecasts within the annual forecast semester. Moreover, a simple Monte Carlo study aims to illustrate graphically empirical size and empirical power of the tests for pairwise comparison depending on certain properties of the underlying forecast error sequences.

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