Investigating laypeople’s short- and long-term forecasts of COVID-19 infection cycles-Reference-Cited by-同舟云学术

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Investigating laypeople’s short- and long-term forecasts of COVID-19 infection cycles

Published:2023-12 Issue: Volume: Page:
ISSN:0169-2070
Container-title:International Journal of Forecasting
language:en
Short-container-title:International Journal of Forecasting

Author:

Koo Moon Su,Lee Yun Shin^ORCID,Seifert Matthias

Publisher

Elsevier BV

Subject

Business and International Management

Reference63 articles.

1. Estimating and testing linear models with multiple structural changes;Bai;Econometrica,1998

2. Exponential-growth prediction bias and compliance with safety measures related to COVID-19;Banerjee;Social Science & Medicine,2021

3. Using social and behavioural science to support COVID-19 pandemic response;Bavel;Nature Human Behaviour,2020

4. Context-sensitive heuristics in statistical reasoning;Bolger;The Quarterly Journal of Experimental Psychology Section A,1993

5. Comparing human and model-based forecasts of COVID-19 in Germany and Poland;Bosse;PLoS Computational Biology,2022

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