The Dogit Ordered Generalized Extreme Value Model

Fry, Timothy D.; Harris, Mark N.

doi:10.1111/j.1467-842x.2005.00414.x

Cited by 14 publications

(6 citation statements)

References 24 publications

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“…A social desirability bias might lead some individuals to overreport their health in a survey setting (Adams et al ). Fry and Harris () show that respondents tend to select “average” responses, which would compress the self‐reported general health distribution. Finally, a universal concern within the stated preferences literature is that respondents, not bound in terms of their future actions by their responses to survey questions, will overstate preferences or other outcomes, which may include self‐reported health (Loomis ).…”

Section: Data Variables and Empirical Modelsmentioning

confidence: 99%

Do Minimum Wage Increases Influence Worker Health?

2017

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Section: Data Variables and Empirical Modelsmentioning

confidence: 99%

Do Minimum Wage Increases Influence Worker Health?

2017

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“…Firstly, digit/item preferencing: this issue has been addressed by, for example, Fry and Harris (2005), with regard to inflationary expectations and student course evaluations. The latter relates strongly to the current paper, as it relates to students "ticking a box" on a likert-scale for satisfaction levels.…”

Section: Some Possible Motivations For Inaccurate Reportingmentioning

confidence: 99%

Inflated Responses in Measures of Self-Assessed Health

Greene

Harris

Hollingsworth

2015

American Journal of Health Economics

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Abstract/SummaryThis paper focuses on the self-reported responses given to survey questions of the form In general how would you rate your health? with typical response items being on a scale ranging from poor to excellent. Usually, the overwhelming majority of responses fall in either the middle category or the one immediately to the "right" of this (in the above example, good and very good). However, based on a wide range of other medical indicators, such favourable responses appear to paint an overly rosy picture of true health. The hypothesis here is that these "middle" responses have been, in some sense, inflated. That is, for whatever reason, a significant number of responders inaccurately report into these categories. We find a significant amount of inflation into these categories. Adjusted responses to these questions could lead to significant changes in policy, and should be reflected upon when analysing and interpreting these scales. Keywords: Self-assessed health, inflated outcomes, mis-reporting, ordered probit, panel data.JEL codes: C3, C5, I1. 1 We are grateful to the Australian Research Council to help fund this research. We are also grateful to Michael Shields, David Johnson, Nigel Rice, John Wildman and Andrew Jones for useful comments and suggestions, and also to seminar participants at

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“…The key contribution of Fry and Harris (2005) was in recognizing the greater flexibility of the OGEV model (compared to ordered logits/probits) and thus combining this with the “captivity” aspects of the DOGIT model. The result is the DOGEV model.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…The result is the DOGEV model. Essentially, the DOGEV model combines the flexibility of the MNL model, with the ordering of the OGEV model and the captivity of the DOGIT model (Fry and Harris, 2005). Using the simplest case of the OGEV model (the “standard” OGEV), the resulting DOGEV probabilities are given by:…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Measuring the Attributes of Poverty and Its Persistence: A Case Study of Eritrea

Fissuh

Serieux

Harris

2011

Review of Income and Wealth

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This paper tries to identify the correlates of poverty in urban Eritrea using an estimation technique (the DOGEV model) that also allows for the inclusion of a measure of "persistence" in poverty levels from cross-sectional estimation. The results suggest that 17 percent of the probability of being moderately poor and 22 percent of the probability of being extremely poor in Eritrea was attributable to this "persistence"-a predisposition toward poverty likely due to latent attributes related to past experience of poverty itself. The results also suggest that, in the post-war economy of the mid-1990s, those with vocational training fared best among all education groups. Being a war veteran also had a strong negative association with the poverty-reflecting successful attempts to support that group. The receipt of remittances also reduced the likelihood of poverty; though receipts from outside Eritrea had a much stronger effect than receipts from within Eritrea.

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The Dogit Ordered Generalized Extreme Value Model

Cited by 14 publications

References 24 publications

Do Minimum Wage Increases Influence Worker Health?

Do Minimum Wage Increases Influence Worker Health?

Inflated Responses in Measures of Self-Assessed Health

Measuring the Attributes of Poverty and Its Persistence: A Case Study of Eritrea

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