Template-Type: ReDIF-Paper 1.0 Series: Tinbergen Institute Discussion Papers Creation-Date: 2013-03-25 Number: 13-049/III Author-Name: Chia-Lin Chang Author-Workplace-Name: National Chung Hsing University Taichung Author-Name: Philip Hans Franses Author-Workplace-Name: Erasmus University Rotterdam Author-Name: Michael McAleer Author-Workplace-Name: Erasmus University Rotterdam, Complutense University of Madrid, Kyoto University Title: Are Forecast Updates Progressive? Abstract: This discussion paper led to a publication in Mathematics and Computers in Simulation (MATCOM), 2013, 93(c), 9-18.
Many macroeconomic forecasts and forecast updates like those from IMF and OECD typically involve both a model component, which is replicable, as well as intuition, which is non-replicable. Intuition is expert knowledge possessed by a forecaster. If forecast updates are progressive, forecast updates should become more accurate, on average, as the actual value is approached. Otherwise, forecast updates would be neutral. The paper proposes a methodology to test whether macroeconomic forecast updates are progressive, where the interaction between model and intuition is explicitly taken into account. The data set for the empirical analysis is for Taiwan, where we have three decades of quarterly data available of forecasts and their updates of the inflation rate and real GDP growth rate. Our empirical results suggest that the forecast updates for Taiwan are progressive, and that progress can be explained predominantly by improved intuition. Classification-JEL: C53, C22, E27, E37 Keywords: Macroeconomic forecasts, econometric models, intuition, progressive forecast updates, forecast errors File-Url: https://papers.tinbergen.nl/13049.pdf File-Format: application/pdf File-Size: 179474 bytes Handle: RePEc:tin:wpaper:20130049