Time series modelling methods to forecast the volume of self-assessment tax returns in the UK

DOI10.1080/02664763.2021.1953448OpenAlexW3186728084MaRDI QIDQ5044684

Gabby Colmenares Reverol, Sarah Keast, Emma McLarnon, Kokouvi M. Gamado, Garo Panikian, Jayne Rhodes

Publication date: 2 November 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2021.1953448

zbMATH Keywords

Bayesian inferenceensemble modellingmaking tax digitalself-assessment forecast

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Uses Software

• JAGS
• SsfPack
• BayesDA
• expsmooth

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Bayesian forecasting and dynamic models.
• Forecasting with exponential smoothing. The state space approach
• Statistical decision theory and Bayesian analysis. 2nd ed
• Forecasting Time Series With Complex Seasonal Patterns Using Exponential Smoothing
• Handbook of Markov Chain Monte Carlo
• Science and Statistics
• Disturbance smoother for state space models
• Priors and Component Structures in Autoregressive Time Series Models
• Strictly Proper Scoring Rules, Prediction, and Estimation