EconPapers    
Economics at your fingertips  
 

Detecting over- and under-dispersion in zero inflated data with the hyper-Poisson regression model

Antonio J. Sáez-Castillo () and Antonio Conde-Sánchez ()
Additional contact information
Antonio J. Sáez-Castillo: Universidad de Jaén
Antonio Conde-Sánchez: Universidad de Jaén

Statistical Papers, 2017, vol. 58, issue 1, 19-33

Abstract: Abstract The zero inflated hyper-Poisson regression model permits count data to be analysed with covariates that determine different levels of dispersion and that present structural zeros due to the existence of a non-users group. A simulation study demonstrates the capability of the model to detect over- and under-dispersion of the potential users group of the dataset in relation to the value of covariates, and to estimate the proportion of structural zeros with great accuracy. An application of the model to fit the number of children per family in relation to several covariates confirms the presence of structural zeros in fertility data at the same time as it detects under-dispersion in most of the levels determined by the covariates.

Keywords: Count data; Hyper-Poisson; Over-dispersion; Under-dispersion; Zero inflation (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
http://link.springer.com/10.1007/s00362-015-0683-1 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:stpapr:v:58:y:2017:i:1:d:10.1007_s00362-015-0683-1

Ordering information: This journal article can be ordered from
http://www.springer. ... business/journal/362

Access Statistics for this article

Statistical Papers is currently edited by C. Müller, W. Krämer and W.G. Müller

More articles in Statistical Papers from Springer
Bibliographic data for series maintained by Sonal Shukla ().

 
Page updated 2019-11-06
Handle: RePEc:spr:stpapr:v:58:y:2017:i:1:d:10.1007_s00362-015-0683-1