Misreporting and econometric modelling of zeros in survey data on social bads: An application to cannabis consumption
When modelling "social bads," such as illegal drug consumption, researchers are often faced with a dependent variable characterised by a large number of zero observations. Building on the recent literature on hurdle and double-hurdle models, we propose a double-inflated modelling framework...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
John Wiley & Sons Ltd.
2017
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| Online Access: | http://hdl.handle.net/20.500.11937/58538 |
| _version_ | 1848760285328834560 |
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| author | Greene, W. Harris, Mark N. Srivastava, P. Zhao, X. |
| author_facet | Greene, W. Harris, Mark N. Srivastava, P. Zhao, X. |
| author_sort | Greene, W. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | When modelling "social bads," such as illegal drug consumption, researchers are often faced with a dependent variable characterised by a large number of zero observations. Building on the recent literature on hurdle and double-hurdle models, we propose a double-inflated modelling framework, where the zero observations are allowed to come from the following: nonparticipants; participant misreporters (who have larger loss functions associated with a truthful response); and infrequent consumers. Due to our empirical application, the model is derived for the case of an ordered discrete-dependent variable. However, it is similarly possible to augment other such zero-inflated models (e.g., zero-inflated count models, and double-hurdle models for continuous variables). The model is then applied to a consumer choice problem of cannabis consumption. We estimate that 17% of the reported zeros in the cannabis survey are from individuals who misreport their participation, 11% from infrequent users, and only 72% from true nonparticipants. |
| first_indexed | 2025-11-14T10:13:21Z |
| format | Journal Article |
| id | curtin-20.500.11937-58538 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:13:21Z |
| publishDate | 2017 |
| publisher | John Wiley & Sons Ltd. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-585382018-04-19T05:46:28Z Misreporting and econometric modelling of zeros in survey data on social bads: An application to cannabis consumption Greene, W. Harris, Mark N. Srivastava, P. Zhao, X. When modelling "social bads," such as illegal drug consumption, researchers are often faced with a dependent variable characterised by a large number of zero observations. Building on the recent literature on hurdle and double-hurdle models, we propose a double-inflated modelling framework, where the zero observations are allowed to come from the following: nonparticipants; participant misreporters (who have larger loss functions associated with a truthful response); and infrequent consumers. Due to our empirical application, the model is derived for the case of an ordered discrete-dependent variable. However, it is similarly possible to augment other such zero-inflated models (e.g., zero-inflated count models, and double-hurdle models for continuous variables). The model is then applied to a consumer choice problem of cannabis consumption. We estimate that 17% of the reported zeros in the cannabis survey are from individuals who misreport their participation, 11% from infrequent users, and only 72% from true nonparticipants. 2017 Journal Article http://hdl.handle.net/20.500.11937/58538 10.1002/hec.3553 http://creativecommons.org/licenses/by/4.0/ John Wiley & Sons Ltd. fulltext |
| spellingShingle | Greene, W. Harris, Mark N. Srivastava, P. Zhao, X. Misreporting and econometric modelling of zeros in survey data on social bads: An application to cannabis consumption |
| title | Misreporting and econometric modelling of zeros in survey data on social bads: An application to cannabis consumption |
| title_full | Misreporting and econometric modelling of zeros in survey data on social bads: An application to cannabis consumption |
| title_fullStr | Misreporting and econometric modelling of zeros in survey data on social bads: An application to cannabis consumption |
| title_full_unstemmed | Misreporting and econometric modelling of zeros in survey data on social bads: An application to cannabis consumption |
| title_short | Misreporting and econometric modelling of zeros in survey data on social bads: An application to cannabis consumption |
| title_sort | misreporting and econometric modelling of zeros in survey data on social bads: an application to cannabis consumption |
| url | http://hdl.handle.net/20.500.11937/58538 |