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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.
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공공정책대학 (빅데이터사이언스학부)
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