Journal article
Comparisons of Tobit, Linear, and Poisson-Gamma Regression Models An Application of Time Use Data
Sociological Methods & Research, Vol.40(3), pp.511-535
2011
Abstract
Time use data (TUD) are distinctive, being episodic in nature and consisting of both continuous and discrete (exact zeros) values. TUD is non-negative and generally right skewed. To analyze such data, the Tobit, and to a lesser extent, linear regression models are often used. Tobit models assume the zeros represent censored values of an underlying normally distributed latent variable that theoretically includes negative values. Both the linear regression and Tobit models have normality as a key assumption. The Poisson-gamma distribution is a distribution with both a point mass at zero (corresponding to zero time spent on a given activity) and a continuous component. Using generalized linear models, TUD can be modeled utilizing the Poisson-gamma distribution. Using TUD, Tobit and linear regression models are compared to the Poisson-gamma with respect to the interpretation of the model, the model fit (analysis of residuals), and model performance through the use of a simulated data experiment. The Poisson-gamma is found to be theoretically and empirically more sound in many circumstances.
Details
- Title
- Comparisons of Tobit, Linear, and Poisson-Gamma Regression Models An Application of Time Use Data
- Authors
- Judith E Brown (Author) - University of New EnglandPeter K Dunn (Author) - University of the Sunshine Coast - Faculty of Science, Health and Education
- Publication details
- Sociological Methods & Research, Vol.40(3), pp.511-535
- Publisher
- Sage Publications Inc.
- Date published
- 2011
- DOI
- 10.1177/0049124111415370
- ISSN
- 0049-1241
- Organisation Unit
- University of the Sunshine Coast, Queensland; School of Health and Sport Sciences - Legacy; School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 99449864202621
- Output Type
- Journal article
Metrics
2 File views/ downloads
801 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Web Of Science research areas
- Social Sciences, Mathematical Methods
- Sociology
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites