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Contribution Details
| Type | Journal Article |
| Scope | Discipline-based scholarship |
| Title | Happy times: measuring happiness using response times |
| Organization Unit | |
| Authors |
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| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
| Language |
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| Journal Title | American Economic Review |
| Publisher | American Economic Association |
| Geographical Reach | international |
| ISSN | 0002-8282 |
| Volume | 113 |
| Number | 12 |
| Page Range | 3289 - 3322 |
| Date | 2023 |
| Abstract Text | Surveys measuring happiness or preferences generate discrete ordinal data. Ordered response models, which are used to analyze such data, suffer from an identification problem. Their conclusions depend on distributional assumptions about a latent variable. We propose using response times to solve that problem. Response times contain information about the distribution of the latent variable through a chronometric effect. Using an online survey experiment, we verify the chronometric effect. We then provide theoretical conditions for testing conventional distributional assumptions. These assumptions are rejected in some cases, but overall our evidence is consistent with the qualitative validity of the conventional models. |
| Free access at | DOI |
| Related URLs | |
| Digital Object Identifier | 10.1257/aer.20211051 |
| Other Identification Number | merlin-id:24306 |
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| Keywords | Economics and econometrics |
| Additional Information | Copyright American Economic Association; reproduced with permission |