Inconsistencies in Reported Employment Characteristics among Employed Stayers

The paper deals with measurement error, and its potentially distorting role, in information on industry and professional status collected by labour force surveys. The focus of our analyses is on inconsistent information on these employment characteristics resulting from yearly transition matrices for workers who were continuously employed over the year and who did not change job. As a case-study we use yearly panel data for the period from April 1993 to April 2003 collected by the Italian Quarterly Labour Force Survey. The analysis goes through four steps: (i) descriptive indicators of (dis)agreement; (ii) testing whether the consistency of repeated information significantly increases when the number of categories is collapsed; (iii) examination of the pattern of inconsistencies among response categories by means of Goodman's quasi-independence model; (iv) comparisons of alternative classifications. Results document sizable measurement error, which is only moderately reduced by more aggregated classifications. They suggest that even cross-section estimates of employment by industry and/or professional status are affected by non-random measurement error.industry, professional status, measurement errors, survey data

Morfologia social e contextualização topográfica: a micro-história de Edoardo Grendi

Il saggio prende in considerazione il ruolo di Edoardo Grendi nella teorizzazione della proposta microstorica italiana, generalmente sconosciuto o sottostimato nel panorama accademico sudamericano

Corail contre diamants: réseaux marchands, diaspora sépharade et commerce lointain : de la Méditerranée à l'océan Indien, XVIIIe siècle / Francesca Trivellato ; traduit de l'anglais (États-Unis) par Guillaume Calafat

International audienc

A latent class approach for estimating gross flows in the presence of correlated classification errors

In this chapter, we use a model-based approach to adjusting observed gross flows for correlated classification errors. It combines a structural sub-model for unobserved true transition rates and a measurement sub-model relating true states to observed states. A convenient framework for formulating our model is provided by latent class analysis. We apply our approach to data on young people\u2019s observed gross flows among the usual three labour force states \u2013 Employed (E), Unemployed (U) and Out of the labour force (O) \u2013 taken from the French Labour Force Survey (FLFS), March 1990-March 1992. The model is shown to correct flows in the expected direction: estimated true transition rates exhibit higher mobility than observed ones. In addition, the measurement part of the model has significant coefficient estimates, and the estimated response probabilities show a clear, sensible pattern. Our approach provides a means of accounting for correlated classification errors across panel data which is less dependent on multiple indicators than previous formulations of latent class Markov models

Inconsistencies in reported employment characteristics among employed stayers

none3The paper deals with measurement error, and its potentially distorting role, in information on industry and professional status collected by labour force surveys. The focus of our analyses is on inconsistent information on these employment characteristics resulting from yearly transition matrices for workers who were continuously employed over the year and who did not change job. As a case-study we use yearly panel data for the period from April 1993 to April 2003 collected by the Italian Quarterly Labour Force Survey. The analysis goes through four steps: (i) descriptive indicators of (dis)agreement; (ii) testing whether the consistency of repeated information significantly increases when the number of categories is collapsed; (iii) examination of the pattern of inconsistencies among response categories by means of Goodman’s quasi-independence model; (iv) comparisons of alternative classifications jointly by professional status and occupation. Results document sizable measurement error, which is only moderately reduced by more aggregated classifications. They suggest that even cross-section estimates of employment by industry and/or professional status are affected by non-random measurement errornoneF. Bassi; A. Padoan; U. TrivellatoBassi, Francesca; A., Padoan; Trivellato, Ug