Data for discrete ordered random variables are often characterised by "excessive" zero observations. Traditional ordered probit models have limited capacity in explaining the preponderance of zero observations, especially when the zeros may relate to two distinct situations of non-participation...

Measures of mental wellbeing are heavily relied upon to identify at-risk individuals. However, self-reported mental health metrics might be unduly affected by mis-reporting (perhaps stemming from stigma effects). In this paper we consider this phenomenon using data from the British Household...

Latent class, or finite mixture, modelling has proved a very popular, and relatively easy, way of introducing much-needed heterogeneity into empirical models right across the social sciences. The technique involves (probabilistically) splitting the population into a finite number of (relatively...

Latent class, or finite mixture, modelling has proved a very popular, and relatively easy, way of introducing much-needed heterogeneity into empirical models right across the social sciences. The technique involves (probabilistically) splitting the population into a finite number of (relatively...

Measures of mental wellbeing are heavily relied upon to identify at-risk individuals. However, self-reported mental health metrics might be unduly affected by mis-reporting (perhaps stemming from stigma effects). In this paper we consider this phenomenon using data from the British Household...

Latent class, or finite mixture, modelling has proved a very popular, and relatively easy, way of introducing much-needed heterogeneity into empirical models right across the social sciences. The technique involves (probabilistically) splitting the population into a finite number of (relatively...

Measures of mental wellbeing are heavily relied upon to identify at-risk individuals. However, self-reported mental health metrics might be unduly affected by mis-reporting (perhaps stemming from stigma effects). In this paper we consider this phenomenon using data from the British Household...

We contribute to the small, but important, literature exploring the incidence and implications of mis-reporting in survey data. Specifically, when modelling ?social bads such as illegal drug consumption, researchers are often faced with exceptionally low reported participation rates. We propose...

We introduce the (panel) zero-inflated interval regression (ZIIR) model, which is ideally suited when data are in the form of groups, which is commonly the case in survey data, and there is an ‘excess’ of zero observations. We apply our new modelling framework to the analysis of visits to...

The American Recovery and Reinvestment Act of 2009 directs over $7 billion to expand broadband Internet availability and adoption in the United States. One target of such funding is the elderly population, a group of Americans for which broadband adoption is relatively low. An interesting...