Article ID: | iaor2008293 |
Country: | United Kingdom |
Volume: | 23 |
Issue: | 7 |
Start Page Number: | 463 |
End Page Number: | 477 |
Publication Date: | Oct 2004 |
Journal: | International Journal of Forecasting |
Authors: | Mostaghimi Mehdi |
Keywords: | forecasting: applications, information theory, decision theory |
On 26 November 2001, the National Bureau of Economic Research announced that the US economy had officially entered into a recession in March 2001. This decision was a surprise and did not end all the conflicting opinions expressed by economists. This matter was finally settled in July 2002 after a revision to the 2001 real gross domestic product showed negative growth rates for its first three quarters. A series of political and economic events in the years 2000–01 have increased the amount of uncertainty in the state of the economy, which in turn has resulted in the production of less reliable economic indicators and forecasts. This paper evaluates the performance of two very reliable methodologies for predicting a downturn in the US economy using composite leading economic indicators (CII) for the years 2000–01. It explores the impact of the monetary policy on CLl and on the overall economy and shows how the gradualness and uncertainty of this impact on the overall economy have affected the forecasts of these methodologies. It suggests that the overexposure of the CLI to the monetary policy tools and a strong, but less effective, expansionary money policy have been the major factors in deteriorating the predictions of these methodologies. To improve these forecasts, it has explored the inclusion of the CLI diffusion index as a prior in the Bayesian methodology.