Management Theory and Studies for Rural Business and Infrastructure Development, Volume 39, Number 4

ADMINISTRATIVE DATA AND MODEL BASED ESTIMATION IN ITALIAN AGRICULTURE STATISTICS

Roberto Gismondi, Massimo Alfonso Russo

Abstract

Actually, agricultural surfaces are estimated by the Italian National Statistical Institute (ISTAT) through experts evaluations. The present work has two purposes: 1) to improve the use of administrative data for increasing reliability of crop statistics; 2) to improve methodology for releasing crop early estimates. IACS administrative data are available within a short time lag, cover all the main crops and may substitute estimates gradually. As regards early estimates, the usual design based estimation strategy may be improved through double sampling and model based regression. Results show good reliability of administrative data and decrease of estimates variances using model based estimation.

JEL Codes: Q10, Q11, C13, C83.

Article in: English

Received: 2017-12-27

Published on-line: 2017-12-27

Keyword(s): Administrative data, Agriculture, Early estimates, Crop, Double sampling, IACS


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Management Theory and Studies for Rural Business and Infrastructure Development eISSN 2345-0355

This journal is published under the terms of the Creative Commons Attribution-Noncommercial 3.0 Unported License. Responsible editor: Dr Audrius Gargasas.