Understanding and interpreting generalized ordered logit models

Williams, Richard

doi:10.1080/0022250x.2015.1112384

Cited by 680 publications

(487 citation statements)

References 17 publications

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“…Associations between household characteristics and the 4-level food insecurity variable were analysed using a generalised ordered logistic regression model,26 which allows effect sizes to vary for each interval change in the outcome. This model simultaneously estimates odds ratios for three comparisons: (1) the food secure versus all food insecurity categories; (2) people who are marginally food insecure or food secure versus people experiencing moderate and severe food insecurity; (3) people who are not in severe food insecurity versus people who are in severe food insecurity.…”

Section: Methodsmentioning

confidence: 99%

The rise of hunger among low-income households: an analysis of the risks of food insecurity between 2004 and 2016 in a population-based study of UK adults

Loopstra

Reeves

Tarasuk

2019

J Epidemiol Community Health

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BackgroundRising food bank use in the past decade in the UK raises questions about whether food insecurity has increased. Using the 2016 Food and You survey, we describe the magnitude and severity of the problem, examine characteristics associated with severity of food insecurity, and examine how vulnerability has changed among low-income households by comparing 2016 data to the 2004 Low Income Diet and Nutrition Survey.MethodsThe Food and You survey is a representative survey of adults living in England, Wales, and Northern Ireland (n=3118). Generalised ordered logistic regression models were used to examine how socioeconomic characteristics related to severity of food insecurity. Coarsened exact matching was used to match respondents to respondents in the 2004 survey. Logistic regression models were used to examine if food insecurity rose between survey years.Results20.7% (95% CI 18.7% to 22.8%) of adults experienced food insecurity in 2016, and 2.72% (95% CI 2.07% to 3.58%) were severely food insecure. Younger age, non-white ethnicity, low education, disability, unemployment, and low income were all associated with food insecurity, but only the latter three characteristics were associated with severe food insecurity. Controlling for socioeconomic variables, the probability of low-income adults being food insecure rose from 27.7% (95% CI 24.8% to 30.6 %) in 2004 to 45.8% (95% CI 41.6% to 49.9%) in 2016. The rise was most pronounced for people with disabilities.ConclusionsFood insecurity affects economically deprived groups in the UK, but unemployment, disability and low income are characteristics specifically associated with severe food insecurity. Vulnerability to food insecurity has worsened among low-income adults since 2004, particularly among those with disabilities.

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Section: Methodsmentioning

confidence: 99%

The rise of hunger among low-income households: an analysis of the risks of food insecurity between 2004 and 2016 in a population-based study of UK adults

Loopstra

Reeves

Tarasuk

2019

J Epidemiol Community Health

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“…When one of the preferred models—the generalized proportional odds/parallel‐lines model—was estimated with the initial six‐category dependent variable, it gave rise to a large number of negative in‐sample predicted values. It is known that this oddity can be circumvented by combining scale categories (Williams ). Hence, we utilized both the stereotype and multinomial logit models to identify which scale categories are nondistinguishable and thus should be combined.…”

Section: Methodsologymentioning

confidence: 99%

Performance Effects of External Search Strategies in European Small and Medium-Sized Enterprises

Radičić

Pugh²

2017

Journal of Small Business Management

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There is little evidence regarding the performance impact of open innovation on small and medium‐sized enterprises (SMEs), especially across different firm‐size categories and sectors. Using new survey data from 28 European countries, we specify ordered logit and generalized proportional odds models to explore how seven individual external search strategies (knowledge sources) affect SME innovation performance across different size categories and sectors. While we find some consistently positive effects, in particular from using customers as an external knowledge source, we also find that some search strategies may not be beneficial. These findings suggest managerial and policy implications.

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“…Second, its purpose is to control for the anchoring effect problem. It is important to note that omitting this type of unobserved heterogeneity from the specification, and depending on its magnitude, could result in a potential bias of the estimates and therefore of the WTAs (Schneider et al, ; Williams, ).…”

Section: Resultsmentioning

confidence: 99%

The monetary subjective health evaluation for commuting long distances in Chile: A latent class analysis

Palomino

Sarrias

2019

Papers in Regional Science

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Long‐distance commuting (LDC) is a growing phenomenon in specialized countries in extractive industries such as Chile. There has also been a growing concern about the potential impacts on the health of long‐distance commuters. This paper formalizes the relationship between commuting distance and self‐assessed health status and shows the monetary valuation of health costs for commuting long distances using a latent class approach. This econometric approach allows us to capture both preference and threshold heterogeneity. The results show that there are two classes of workers: the first group is not sensitive to commuting distance, whereas the monetary valuation of workers in the second group is equivalent to CLP $431 (US$0.68).

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Understanding and interpreting generalized ordered logit models

Cited by 680 publications

References 17 publications

The rise of hunger among low-income households: an analysis of the risks of food insecurity between 2004 and 2016 in a population-based study of UK adults

The rise of hunger among low-income households: an analysis of the risks of food insecurity between 2004 and 2016 in a population-based study of UK adults

Performance Effects of External Search Strategies in European Small and Medium-Sized Enterprises

The monetary subjective health evaluation for commuting long distances in Chile: A latent class analysis

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