EconPapers    
Economics at your fingertips  
 

Testing for bias in forecasts for independent binary outcomes

Philip Hans Franses

Applied Economics Letters, 2021, vol. 28, issue 15, 1336-1338

Abstract: This letter deals with a test on forecast bias in predicting independent binary outcomes, where the outcomes are either 1 or 0, and the predictions are probabilities. The test concerns two parameter restrictions in a simple logit model. Size-corrected power experiments show remarkable power.

Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1080/13504851.2020.1838429 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:apeclt:v:28:y:2021:i:15:p:1336-1338

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEL20

DOI: 10.1080/13504851.2020.1838429

Access Statistics for this article

Applied Economics Letters is currently edited by Anita Phillips

More articles in Applied Economics Letters from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-22
Handle: RePEc:taf:apeclt:v:28:y:2021:i:15:p:1336-1338