Merging operations on two or more datasets has become an usual need for Statistical Institutes in the last few decades. Nowadays social sciences offer the opportunity of a new application of data integration techniques. In this short paper we deal with the problem related to the estimation of the intergenerational earnings elasticity when proper datasets are not available.We compare the classical Two Samples Two Stages Least Squares with “Record Linkage” and "Matching” procedures.
Ballerini, V., Bloise, F., Briscolini, D., Raitano, M. (2018). Data integration in social sciences: the earnings intergenerational mobility problem. In Book of short Papers SIS 2018 (pp.947-952). Pearson.
Data integration in social sciences: the earnings intergenerational mobility problem
Francesco Bloise;Dario Briscolini;
2018-01-01
Abstract
Merging operations on two or more datasets has become an usual need for Statistical Institutes in the last few decades. Nowadays social sciences offer the opportunity of a new application of data integration techniques. In this short paper we deal with the problem related to the estimation of the intergenerational earnings elasticity when proper datasets are not available.We compare the classical Two Samples Two Stages Least Squares with “Record Linkage” and "Matching” procedures.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
