A new microeconomic database on farm households in Italy was created using statistical matching techniques. Information on total households’ income and well-being gathered by the EU-SILC survey on living conditions for Italy was attached to the observations included in the FBS database for Italy. The new dataset, still representative of agricul-ture as an industry, also allows a proper statistical representation and socio-economic characterization of farm households as an institutional sector. The quality of the new microeconomic information was assessed analysing the statis-tical properties of key analysis variables and the distributive features of the current UE Common Agricultural Policy.
An Application of Statistical Matching Techniques to Produce a New Microeconomic Dataset on Farming Households’ Institutional Sector in Italy / EDOARDO PIZZOLI; BENEDETTO ROCCHI; GIUSEPPE SACCO. - STAMPA. - (2014), pp. 161-172. [10.1007/978-3-319-05552-7]
An Application of Statistical Matching Techniques to Produce a New Microeconomic Dataset on Farming Households’ Institutional Sector in Italy.
ROCCHI, BENEDETTO;
2014
Abstract
A new microeconomic database on farm households in Italy was created using statistical matching techniques. Information on total households’ income and well-being gathered by the EU-SILC survey on living conditions for Italy was attached to the observations included in the FBS database for Italy. The new dataset, still representative of agricul-ture as an industry, also allows a proper statistical representation and socio-economic characterization of farm households as an institutional sector. The quality of the new microeconomic information was assessed analysing the statis-tical properties of key analysis variables and the distributive features of the current UE Common Agricultural Policy.
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