Sampling Errors

Imad A. Moosa and Kelly Burns
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Imad A. Moosa: Monash University
Kelly Burns: Curtin University

Chapter 9 in Demystifying the Meese-Rogoff Puzzle, 2015, pp 105-115 from Palgrave Macmillan

Abstract: Abstract Some economists suggest that sampling errors may resolve the Meese-Rogoff puzzle and that the forecasting power of exchange rate models is sensitive to sample selection. It is also suggested that the length of the estimation window is important in that using additional historical observations enhances forecasting performance. Furthermore, it is suggested that the selection of the forecasting window impacts forecasting performance. We find that a narrower estimation or forecasting window cannot explain the Meese-Rogoff puzzle. In general we find that changing the sample period and using different forecasting and estimation windows does not make much difference.

Keywords: Exchange Rate; Random Walk; Sampling Error; Forecast Accuracy; Forecast Performance (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:pal:palchp:978-1-137-45248-1_9

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DOI: 10.1057/9781137452481_9

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