Testing for Differences in Path Forecast Accuracy: Forecast-Error Dynamics Matter
Although the trajectory and path of future outcomes plays an important role in policy decisions, analyses of forecast accuracy typically focus on individual point forecasts. However, it is important to examine the path forecasts errors since they include the forecast dynamics. We use the link between path forecast evaluation methods and the joint predictive density to propose a test for differences in system path forecast accuracy. We also demonstrate how our test relates to and extends existing joint testing approaches. Simulations highlight both the advantages and disadvantages of path forecast accuracy tests in detecting a broad range of differences in forecast errors. We compare the Federal Reserve’s Greenbook point and path forecasts against four DSGE model forecasts. The results show that differences in forecast-error dynamics can play an important role in the assessment of forecast accuracy.
JEL codes: C12, C22, C52, C53.
Keywords: GFESM, log determinant, log score, mean square error.
Suggested citation: Martinez, Andrew B., 2017. “Testing for Differences in Path Forecast Accuracy: Forecast-Error Dynamics Matter,” Federal Reserve Bank of Cleveland, Working Paper no. 17-17. https://doi.org/10.26509/frbc-wp-201717.