This report presents the state-of-the-art of an Istat research project started in 2014 to develop a statistical information system for the General Government Sector, based on the integrated use of microdata from different administrative and statistical sources. The report focuses on quality issues and methodological solutions adopted to deal with missing information of the variables “Compensation of employees” and “Intermediate consumption” of Municipalities. The Certificate of the financial statements represents the primary source, while auxiliary information used in the estimation strategy comes from statistical sources, such as 2011 General Census of Industry and Services, 2011 General Population and Housing Censuses, Resident municipal population by age, sex and marital status, Italian Statistical Register of Public Institutions. The reference year is 2012, while 2011 data are used as historical information in longitudinal models.
Strategie di imputazione delle variabili Redditi da lavoro dipendente e Consumi Intermedi per le Amministrazioni Comunali / Luzi, O; Varriale, R; Pichiorri, T; Giungato, G. - 12:(2016), pp. 1-40.
Strategie di imputazione delle variabili Redditi da lavoro dipendente e Consumi Intermedi per le Amministrazioni Comunali
Varriale R;
2016
Abstract
This report presents the state-of-the-art of an Istat research project started in 2014 to develop a statistical information system for the General Government Sector, based on the integrated use of microdata from different administrative and statistical sources. The report focuses on quality issues and methodological solutions adopted to deal with missing information of the variables “Compensation of employees” and “Intermediate consumption” of Municipalities. The Certificate of the financial statements represents the primary source, while auxiliary information used in the estimation strategy comes from statistical sources, such as 2011 General Census of Industry and Services, 2011 General Population and Housing Censuses, Resident municipal population by age, sex and marital status, Italian Statistical Register of Public Institutions. The reference year is 2012, while 2011 data are used as historical information in longitudinal models.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.