If labour market policies aimed at people with disabilities are effective, we should observe no significant difference in labour market outcomes between disable and non-disable individuals. This paper examines the impact of disability status on labour market outcomes using matching methods...

Non-random item nonresponse makes identification of parameters problematic. Such nonresponse can occur with respect to both dependent and conditioning variables. A method often used to reduce nonresponse is that of adding unfolding brackets as follow up to open-ended questions. With these,...

Household surveys often suffer from nonresponse on variables such as income, savings or wealth. Recent work by Manski shows how bounds on conditional quantiles of the variable of interest can be derived, allowing for any type of nonrandom item nonresponse. The width between these bounds can be...

Variables typically used to measure inequality (e.g., wage earnings, household income or expenditure), are often plagued by nonrandom item nonresponse. Ignoring non-respondents or making (often untestable) assumptions on the nonresponse sub-population can lead to selection bias on estimates of...

If labour market policies aimed at people with disabilities are effective, we should observe no significant difference in labour market outcomes between disable and non-disable individuals. This paper examines the impact of disability status on labour market outcomes using matching methods...