Using Confidence Levels to Quantify the Uncertainty in Management Range Forecasts
Abstract
Details
- Title: Subtitle
- Using Confidence Levels to Quantify the Uncertainty in Management Range Forecasts
- Creators
- Paul Hribar - University of IowaOlivia Huseman - Chapman UniversitySamuel Melessa - University of Nebraska–Lincoln
- Resource Type
- Journal article
- Publication Details
- Journal of financial reporting (Sarasota, Fla.), Vol.10(1), pp.17-44
- DOI
- 10.2308/JFR-2022-022
- ISSN
- 2380-2154
- eISSN
- 2380-2146
- Publisher
- AMER ACCOUNTING ASSOC
- Grant note
- Tippie College of Business, The University of IowaArgyros College of Business and Economics, Chapman UniversityNebraska College of Business, University of Nebraska-Lincoln
We thank Mark Bradshaw, Dan Collins, Cristi Gleason, Chase Potter, and workshop participants from Brigham Young University, the 2016 Brigham Young University (BYU) Accounting Research Symposium, The College of William & Mary, Iowa State University, Lancaster University, Louisiana State University, Michigan State University, The Ohio State University, The Pennsylvania State University, The University of Iowa, University of Minnesota, University of Nebraska-Lincoln, University of Michigan, The University of Oklahoma, University of Oregon, and the 2016 Sidney G. Winter Lecture Series for helpful comments. We also thank the Tippie College of Business, The University of Iowa; the Argyros College of Business and Economics, Chapman University; and the Nebraska College of Business, University of Nebraska-Lincoln for financial support.
- Language
- English
- Electronic publication date
- 12/01/2024
- Date published
- 05/01/2025
- Academic Unit
- Accounting
- Record Identifier
- 9984770893702771