Flexible employment is an important topic in scientific and political debate in Europe. The present work describes the use of machine learning techniques to predict the contract type, by using information coming from both survey and administrative data. Information on contract type come from linked data from the Labour Force Survey and the Employment Register of the Netherlands for the period 2007-2015.
Flexible employment, a machine learning approach / Alfò, Marco; Pavlopoulos, Dimitris; Varriale, Roberta. - (2023), pp. 25-28. (Intervento presentato al convegno 14th Scientific Meeting of the Classification and Data Analysis Group tenutosi a Salerno).
Flexible employment, a machine learning approach
Marco Alfò;Roberta Varriale
2023
Abstract
Flexible employment is an important topic in scientific and political debate in Europe. The present work describes the use of machine learning techniques to predict the contract type, by using information coming from both survey and administrative data. Information on contract type come from linked data from the Labour Force Survey and the Employment Register of the Netherlands for the period 2007-2015.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
