Statistical Matching of Survey Data for the Analysis of Spending Patterns and Poverty

BRIEF INTRODUCTION The first aim of this research project is to realize a probabilistic matching among data sets on households’ income, consumption, lifestyle habits and perceived difficulties in their daily life. The Italian National Statistical Institute (ISTAT) releases the following survey data: EU-SILC (Statistics on Income and Living Conditions), HBS (Household Budget Survey) and ADL (Aspects of daily life). Secondly, by taking advantage of the joint availability of households’ micro-data on these dimensions, this research will focus on the evaluation of household well-being, on the analysis of consumer behavior on the low/high income groups, on the evaluation of the impact of the economic crisis on demand for different expenditures categories and income classes, and on the estimation of territorial disparities in well-being.