Parental leave and child health across OECD countries

To understand the relationship between parental leave and child health better, this study examines the aggregate effects of parental leave policies on child health outcomes using data from 18 OECD countries -super-1 from 1969-2000. The focus is investigating the effects of both job-protected paid leave and other leave - including non-job-protected paid leave and unpaid leave - on child health outcomes, more specifically, infant mortality rates, low birth weight and child immunisation coverage. This study explores the effects of other social policies related to families and young children, such as public expenditures on family cash benefits, family allowances, and family services per child, on child health outcomes. Copyright 2005 Royal Economic Society.

A general model for the comparative analysis of social inequalities between Europe and Latin America

Production of INCASI Project H2020-MSCA-RISE-2015 GA 691004The chapter is an introduction to the book that places the research perspective for the comparative analysis of social inequalities between Europe and Latin America in a theoretical and methodological framework. Particularly, we present the INCASI project, the objectives, and discuss the concept of social inequalities in Latin American countries in comparison with European countries in order to create a dialogue that fills the knowledge gap between these two different traditions. To do so, we propose an Analytical Model on Social Inequalities and Trajectories (AMOSIT). Finally, the structure and general contents of the book are presented

EVS Trend File 1981-2017 – Sensitive Dataset

The European Values Study is a large-scale, cross-national and longitudinal survey research program on how Europeans think about family, work, religion, politics, and society. Repeated every nine years in an increasing number of countries, the survey provides insights into the ideas, beliefs, preferences, attitudes, values, and opinions of citizens all over Europe. The EVS Trend File 1981-2017 is constructed from the five EVS waves and covers almost 40 years. In altogether 160 surveys, more than 224.000 respondents from 48 countries/regions were interviewed. It is based on the updated data of the EVS Longitudinal Data File 1981-2008 (v.3.1.0) and the current EVS 2017 Integrated Dataset (v.5.0.0). For the EVS Trend File, a Restricted-Use File (ZA7504) is available in addition to the (factually anonymised) Scientific-Use File (ZA7503). The EVS Trend File – Sensitive Dataset (ZA7504) is provided as an add-on file. In addition to a small set of admin and protocol variables needed to merge with the SUF data, the Sensitive Dataset contains the following variables that could not be included in the scientific-use file due to their sensitive nature: W005_3 Job profession/industry (3-digit ISCO88) - spouse/partner EVS 2008W005_3_01 Job profession/industry (3-digit ISCO08) - spouse/partner EVS 2017W005_4 Job profession/industry (4-digit ISCO88) - spouse/partner EVS 2008X035_3 Job profession/industry (3-digit ISCO88) – respondent EVS 1999, EVS 2008 X035_3_01 Job profession/industry (3-digit ISCO08) - respondent EVS 2017X035_4 Job profession/industry (4-digit ISCO88) – respondent EVS 1999, EVS 2008 x048c_n3 Region where the interview was conducted (NUTS-3): NUTS version 2006 EVS 2008X048J_N3 Region where the interview was conducted (NUTS-3): NUTS version 2016 EVS 2017X049 Size of town (8 categories) EVS 2008, EVS 2017 Detailed information on the anonymization process in the EVS Trend File is provided in the EVS Trend File Variable Report