Consensus Economics – G7 & Western Europe 2023 Forecast Accuracy Award Winners

London, April 19, 2024: Consensus Economics, the world’s leading economic survey organization, has announced the recipients of its 2023 Forecast Accuracy Award (FAA). The FAA program recognises the achievements of a select group of expert country economic forecasters who have most accurately predicted the final outturns of GDP growth and Consumer Price Inflation in their targeted economies for the year 2023.

FAA winners vary from year to year and across variables, due to exogenous shocks, data surprises and cyclical and structural adjustments. However, the winners of the 2023 FAA program are recognised for their high quality research, their commitment to regular forecasts and their ability to identify most accurately the trends and levels of key indicators over the 24 month forecasting cycle.

2023 Forecast Accuracy Award Winners

 

Country Company Economists
United States Goldman Sachs  US Economics Team of Goldman Sachs
Japan Goldman Sachs  Tomohiro Ota, Yuriko Tanaka
Germany Helaba  Stefan Mütze
France GAMA Raymond Courbis
United Kingdom Beacon Economic Forecasting David Smith
Italy LC Macro Advisors Lorenzo Codogno
Canada Economap Maureen Farrow
Euro Zone FUNCAS Raymond Torres
Netherlands Rabobank RaboResearch
 Norway HSBC James Pomeroy
Spain CEPREDE Julián Pérez Garcia
Sweden National Institute of Economic Research (NIER) Forecasting Department at the National Institute of Economic Research (NIER)
Switzerland Swiss Life Asset Management

Marc Brütsch,  Rita Fleer, Florence  Hartmann, Damian Künzi,  Josipa Markovic

2023 Accuracy Award Winners in our Other Regions

 

Consensus Economics collects forecasts from over 1,000 economists around the world each month. It was founded in 1989 to measure and record consensus expectations, which are seen as macroeconomic forecast benchmarks by investment and planning managers, and by government and public sector institutions, who find the Consensus data useful, timely and accurate.

Each monthly Consensus Economics publications and data files show the average (mean) forecasts, as well as individual forecaster predictions. They are distributed in hard-copy, PDF, and Excel formats, and the data in series are also available across major statistical data platforms and via the Consensus Economics API Service.
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Forecast Accuracy Awards – Methodology Note

The Forecast Accuracy Awards were determined using Mean Absolute Error analysis. The errors measured were the differences between the forecasts and the actual data outturns. The forecaster with the lowest average error rate was deemed to have been the most accurate over the testing period.

The Forecasts Used The forecasts we examined were our panellists’ monthly survey contributions for 2023 Real GDP Growth and 2023 Consumer Price Inflation (CPI) expectations (annual average % change). We began collecting these forecasts in January 2022, and the 24 month forecasting cycle ended in December 2023, providing 24 monthly data points to test for each variable.

The Outturns Used The outturns we used as a comparison to the forecasts were the official estimates of 2023 GDP and CPI, which were released between January and April 2024, depending on the country and variable concerned.

The Calculation When calculating the error (the difference between the forecast and the outturn) we looked at the absolute errors, ignoring sign, as errors resulting from over-estimation and under-estimation are equivalent. We then calculated the mean average absolute error for the forecasts of each panellist for both GDP and CPI over the 24 month forecasting period.

Establishing the Most Accurate Forecaster To determine the most accurate forecaster for a given year, we added the mean absolute error rates for GDP and Inflation to identify the panellist with the lowest overall error rate. Smaller errors are best when considering accuracy, and to win the award requires the panellist to have exhibited a strong forecasting performance across both GDP and Inflation variables over the 24 month forecasting horizon.

Qualification To be considered for the award, a panellist needed to have participated consistently in our monthly surveys over the 24 month forecasting period. This ensured that no panellist gained an advantage through non-participation, or by only providing forecasts near the end of the 24 month cycle, when the steady release of official data can assist forecasters in making revisions.