Inflation Forecasts and Forecaster Herding: Evidence from South African Survey Data

Stellenbosch Working Paper Series No. WP21/2014
 
Publication date: 2014
 
Author(s):
[protected email address] (Department of Economics, Helmut-Schmidt-University)
[protected email address] (Department of Economics, University of Stellenbosch)
[protected email address] (Department of Economics, University of Pretoria)
 
Abstract:

We use South African survey data to study whether short-term inflation forecasts are unbiased. Depending on how we model a forecaster’s information set, we find that forecasts are biased due to forecaster herding. Evidence of forecaster herding is strong when we assume that the information set contains no information on the contemporaneous forecasts of others. When we randomly allocate forecasters into a group of early forecasters who can only observe the past forecasts of others and late forecasters who can observe the contemporaneous forecasters of their predecessors, then evidence of forecaster herding weakens. Further, evidence of forecaster herding is strong and significant in times of high inflation volatility. In time of low inflation volatility, in contrast, forecaster anti-herding seems to dominate

 
JEL Classification:

C53, D82, E37

Keywords:

inflation rate, forecasting, forecaster herding

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BER Weekly

1 March 2021
Even with the release of data showing a record high unemployment rate in 2020Q4, it turned out to be a fairly good week for the SA economy. Daily new COVID-19 infections remained well contained, while the second batch of 80 000 J&J vaccines arrived (albeit controversially with the grounded SAA being the carrier). In addition, relative to the October...

Read the full issue