{"title":"Intergenerational transmission of disadvantages in the Italian labour market","authors":"","doi":"10.1016/j.seps.2024.102097","DOIUrl":null,"url":null,"abstract":"<div><div>The equity of a country is commonly assessed by examining the distribution of economic resources, access to higher education, and positions of societal influence relative to family socio-economic background. This study investigates the mechanisms perpetuating inequalities in the Italian labour market by analysing how family background influences educational attainment and subsequent labour market outcomes. Using the innovative AdSilc database, which integrates administrative and survey data on socio-economic backgrounds, we employed Generalized Path Analysis to explore complex relationships among exogenous, mediating, and endogenous variables. Incorporating the Heckman selection model addressed potential biases related to labour market participation. Additionally, we utilized generalized latent variable models for ordinal data to define family socio-economic status. Our findings underscore a pronounced intergenerational transmission of inequalities and a persistent wage gap across all cohorts analysed. Growing up in an advantaged family not only enhances educational attainment but also influences divergent labour market outcomes observed upon entry and after ten years of career progression.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":null,"pages":null},"PeriodicalIF":6.2000,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Socio-economic Planning Sciences","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0038012124002970","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
The equity of a country is commonly assessed by examining the distribution of economic resources, access to higher education, and positions of societal influence relative to family socio-economic background. This study investigates the mechanisms perpetuating inequalities in the Italian labour market by analysing how family background influences educational attainment and subsequent labour market outcomes. Using the innovative AdSilc database, which integrates administrative and survey data on socio-economic backgrounds, we employed Generalized Path Analysis to explore complex relationships among exogenous, mediating, and endogenous variables. Incorporating the Heckman selection model addressed potential biases related to labour market participation. Additionally, we utilized generalized latent variable models for ordinal data to define family socio-economic status. Our findings underscore a pronounced intergenerational transmission of inequalities and a persistent wage gap across all cohorts analysed. Growing up in an advantaged family not only enhances educational attainment but also influences divergent labour market outcomes observed upon entry and after ten years of career progression.
期刊介绍:
Studies directed toward the more effective utilization of existing resources, e.g. mathematical programming models of health care delivery systems with relevance to more effective program design; systems analysis of fire outbreaks and its relevance to the location of fire stations; statistical analysis of the efficiency of a developing country economy or industry.
Studies relating to the interaction of various segments of society and technology, e.g. the effects of government health policies on the utilization and design of hospital facilities; the relationship between housing density and the demands on public transportation or other service facilities: patterns and implications of urban development and air or water pollution.
Studies devoted to the anticipations of and response to future needs for social, health and other human services, e.g. the relationship between industrial growth and the development of educational resources in affected areas; investigation of future demands for material and child health resources in a developing country; design of effective recycling in an urban setting.