Modelling counts with state-dependent zero inflation
- Authors
- Moeller, Tobias A.; Weiss, Christian H.; Kim, Hee-Young
- Issue Date
- 4월-2020
- Publisher
- SAGE PUBLICATIONS LTD
- Keywords
- Count data; count time series; state dependence; underreporting; zero inflation
- Citation
- STATISTICAL MODELLING, v.20, no.2, pp.127 - 147
- Indexed
- SCIE
SCOPUS
- Journal Title
- STATISTICAL MODELLING
- Volume
- 20
- Number
- 2
- Start Page
- 127
- End Page
- 147
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/56889
- DOI
- 10.1177/1471082X18800514
- ISSN
- 1471-082X
- Abstract
- We introduce a state-dependent zero-inflation mechanism for count distributions with unbounded or bounded support. Instead of uniformly downweighting the parent distribution, this flexible approach allows us to generate most of the zeros from either low or high counts. We derive the stochastic properties of the inflated distributions and discuss special instances designed for zero inflation caused by, for example, excessive demand or underreporting. Furthermore, we apply the state-dependent zero-inflation mechanism to generalize existing models for count time series with bounded support.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - College of Public Policy > Division of Big Data Science > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.