2 resultados para SELECTION BIAS
em Archive of European Integration
Resumo:
The objective of this paper is to explore the determinants to leave agriculture and change occupational sector. We adopt a 3-step multivariate probit where we control for selection bias at two stages in the decisions to work and, at a later stage, exit agriculture. The analysis is based on the European Union Labour Force Survey data expanded with additional regional indicators. The main results suggest that younger individuals are more likely to leave farming activities, although the largest outflows of agricultural labour are mainly associated with the retirement of people. Self-employed and family workers are generally less likely to leave agriculture and those with low levels of educations are found to be significantly constrained in entering the non-farm economy. Moreover, labour market conditions at the regional level do matter for switching occupational sector. Differences in the results among the selected new member states and the EU-15 can be explained by the diverse production structures, suggesting different capacities to release and absorb labour.
Resumo:
Newspaper data are a popular data source for studies across the social sciences. This paper empirically examines the widespread criticisms that this data is hampered by selection, description and researcher bias. It does so by taking one of the most authoritative European comparative research projects ‘Mobilisation on Ethnic Relations, Citizenship and Immigration’ (MERCI) as its case study given that the resulting publications have inspired many researches on both sides of the Atlantic to apply the so-called ‘claims-making’ method (e.g. Koopmans, Statham, Giugni and Passy 2005). Drawing on the author’s familiarity with the Dutch part of the data set and field specific expertise, this paper qualitatively re-analyses the claims recorded for Surinamese, Turkish and Kurdish migrants in the Netherlands and reviews the conclusions for migrant transnationalism and integration in particular. It reveals how an ethnographic approach can tackle description bias and researcher unreliability and brings selection bias into full view. While offering concrete suggestions for incorporating ethnography into newspaper analysis, it also exposes the limits of these methods for the study of cross-border activities such as migrant transnationalism.