showSidebars ==
showTitleBreadcrumbs == 1
node.field_disable_title_breadcrumbs.value ==

SMU SOE Online Seminar (Nov 15, 2021, 8.30am-10.00am): Testing Forecast Rationality for Measures of Central Tendency

Please click here if you are unable to view this page.

 

 

TOPIC:  

TESTING FORECAST RATIONALITY FOR MEASURES OF CENTRAL TENDENCY

 

 

 

Rational respondents to economic surveys may report as a point forecast any measure of the central tendency of their (possibly latent) predictive distribution, for example the mean, median, mode, or any convex combination thereof. We propose tests of forecast rationality when the measure of central tendency used by the respondent is unknown. We overcome an identification problem that arises when the measures of central tendency are equal or in a local neighborhood of each other, as is the case for (exactly or nearly) symmetric distributions. As a building block, we also present novel tests for the rationality of mode forecasts. We apply our tests to survey forecasts of individual income, Greenbook forecasts of U.S. GDP, and random walk forecasts for exchange rates. We find that the Greenbook and random walk forecasts are best rationalized as mean, or near-mean forecasts, while the income survey forecasts are best rationalized as mode forecasts.
 
Keywords: forecast evaluation, weak identification, survey forecasts, mode forecast
 
JEL Codes:  C53, D84, E27
 
Click here to view the paper.
Click here to view the speaker's profile.

 
 
 

This seminar will be held virtually via Zoom. A confirmation email with the Zoom details will be sent to the registered email by 12 November 2021.
 

Andrew Patton

Duke University
 
 
Financial Econometrics
Economic Forecasting
Empirical Asset Pricing
 
 

15 November 2021 (Monday)

 
 

8.30am - 10.00am