Recently, building on the highly polarizing Stiglitz report, a growing literature suggests that statistical offices and applied researchers explore other aspects of human welfare apart from material well-being, such as job security, crime, health, environmental factors and subjective...

Using harmonized micro data, this paper investigates the job search behaviour of the unemployed in Europe. The analysis focuses on the importance of individual and household characteristics in this context, as well as on cross-country differences in Europe. Our findings suggest that both...

Reliable measures of body composition are essential in order to develop effective policies to tackle the costs of obesity. To date the lack of an acceptable gold-standard for measuring fatness has made it difficult to evaluate alternative measures of obesity. In this paper we draw on work in...

This paper develops and applies a Bayesian approach to Exploratory Factor Analysis that improves on ad hoc classical approaches. Our framework relies on dedicated factor models and simultaneously determines the number of factors, the allocation of each measurement to a unique factor, and the...

This paper presents an econometric mediation analysis. It considers identification of production functions and the sources of output effects (treatment effects) from experimental interventions when some inputs are mismeasured and others are entirely omitted.

This paper develops and estimates a model with multiple schooling choices that identifies the causal effect of different levels of schooling on health, health-related behaviors, and labor market outcomes. We develop an approach that is a halfway house between a reduced form treatment effect...

We examine the link between a mother's autonomy – the freedom and ability to think, express, act and make decisions independently – and the nutritional status of her children. We design a novel statistical framework that accounts for cultural and traditional environment, to create a measure...

This paper proposes a novel method for identifying and visualising key employment obstacles that may prevent individuals from participating fully in the labour market. The approach is intended to complement existing sources of information that governments use when designing and implementing...

This paper estimates returns to education using a dynamic model of educational choice that synthesizes approaches in the structural dynamic discrete choice literature with approaches used in the reduced form treatment effect literature. It is an empirically robust middle ground between the two...

In this paper we propose the use of machine learning methods to estimate inequality of opportunity. We illustrate how our proposed methods - conditional inference regression trees and forests - represent a substantial improvement over existing estimation approaches. First, they reduce the risk...