Marco Paccagnella

Résumé: Les auteurs examinent la relation entre les gains, le capital humain et les tâches. Ils reprennent le modèle théorique d'Autor et Handel (2013), tout en élargissant l'analyse empirique à 21 pays, grâce aux données de l'enquête de l'OCDE sur les compétences des adultes (PIAAC). Celles‐ci permettent en outre de caractériser plus précisément le capital humain des travailleurs, en fournissant une mesure directe des compétences cognitives. L'analyse empirique confirme l'influence du contenu en tâches de l'emploi sur les écarts de salaire, à la fois entre les catégories professionnelles et en leur sein. Les prédictions du modèle se vérifient dans la grande majorité des pays.

This article investigates the links between earnings, human capital and job tasks, using internationally comparable information from the OECD Survey of Adult Skills. The authors use the theoretical framework developed by Autor and Handel (2013) and extend their empirical results to 21 OECD countries. The data allow for a richer characterization of workers' human capital by including both educational attainment and a measure of cognitive skills. Their findings confirm the predictive power of job tasks in explaining wage differences, both between and within occupations, and provide empirical support for the model's prediction in the vast majority of countries.

The value of cross-country comparisons is at the heart of large-scale international surveys. Yet the validity of such comparisons is often challenged, particularly in the case of latent traits whose estimates are based on self-reported answers to a small number of questionnaire items. Many believe self-reports to be unreliable and not comparable, and indeed, formal statistical procedures very often reject the assumption that the questions are understood and answered in the same way in different countries (measurement invariance). A methodological conference on the comparability of questionnaire scales was hosted by the OECD on 8 and 9 November 2018. This meeting report summarises the discussions held at the conference about measurement invariance testing and instrument design. The report first provides a brief introduction to the measurement models and the accompanying invariance analyses typically used in the industry of large-scale international surveys and points to the main limitations of these current standard approaches. It then presents classical and novel ways to deal with imperfect comparability of measurements when scaling and reporting on continuous traits and on categorical latent variables. It finally discusses the extent to which item design can improve the cross-country comparability of the measured constructs (e.g. by adopting innovative item formats such as anchoring vignettes and situational judgement test items). It concludes with some general considerations for survey design and reporting on invariance analyses and survey results.

In this paper we provide estimates of the short-run elasticity of substitution between male and female workers, using data from Italian provinces for the period 1993–2006. Our identification strategy relies on a natural experiment. In 2000, the Italian Parliament passed a law to abolish compulsory military service. The reform was implemented through a gradual reduction in the number of draftees; compulsory drafting was eventually terminated in 2004. We use data on the (planned) maximum number of draftees at the national level (as stated in the annual budgetary law), interacted with sex-ratios at births at the provincial level, as instruments for (relative) female labor supply. Our results suggest that young males and females (who are those mainly affected by the reform) are imperfect substitutes, with an implied elasticity of substitution ranging between 1.0 and 1.4. Our results have important implications for the evaluation of policies aimed at increasing female labor market participation.