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Uruguay : Report on the Observance of Standards and Codes - Data Module.

"This Report on the Observance of Standards and Codes (ROSC) - Data Module is a reassessment of the exercise conducted in 1999-mid-2000, which was based on information collected during a November 1999 mission and used the dimensional structure of the first July 2000 draft version of IMF's...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: International Monetary Fund. Statistics Department
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Washington, D.C. : International Monetary Fund, ©2014.
©2014
Colección:IMF country report ; no. 14/42.
Temas:
Acceso en línea:Texto completo

MARC

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260 |a Washington, D.C. :  |b International Monetary Fund,  |c ©2014. 
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300 |a 1 online resource (151 pages) :  |b color illustrations 
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500 |a "February 2014." 
500 |a "January 2014"--Page 2 pdf 
520 |a "This Report on the Observance of Standards and Codes (ROSC) - Data Module is a reassessment of the exercise conducted in 1999-mid-2000, which was based on information collected during a November 1999 mission and used the dimensional structure of the first July 2000 draft version of IMF's Data Quality Assessment Framework (DQAF). This reassessment covers national accounts, and consumer (CPI) and producer price indices (PPI). The Uruguayan agencies that compile and disseminate these datasets are: the Central Bank of Uruguay (CBU) for national accounts and the National Institute of Statistics (NIS) for the CPI and PPI. This Report is the first data ROSC based on the 2012 version of the DQAF, which assesses data quality against the relevant statistical standards current in 2012, including the System of National Accounts 2008 (2008 SNA), the Consumer Price Index Manual 2004 (CPI Manual), and the Producer Price Index Manual 2004 (PPI Manual). The Report contains the following main observations. Following the 1999 data ROSC mission,1 Uruguay made significant improvements in statistical compilation and dissemination of the statistics covered by this ROSC - Data Module. The progress achieved allowed Uruguay to subscribe to the Special Data Dissemination Standard (SDDS) on February 12, 2004. Since its SDDS subscription, Uruguay has been in observance of the SDDS, meeting the specifications for coverage, periodicity, timeliness, and the dissemination of advance release calendars. In the last (2011) SDDS annual report on observance, Uruguay met the SDDS requirements for timeliness with episodic exceptions for some data categories. Uruguay exceeds the SDDS timeliness requirements for labor market (employment, unemployment, and wages/earnings), price (consumer prices and producer prices), and international investment position data. Currently, Uruguay is using two regular timeliness flexibility options for general government operations and central government operations; additionally, it is using an "as relevant" timeliness provision for analytical accounts of the banking sector for countries with extensive branch banking systems. No flexibility options are being used regarding real sector statistics. Appendix I provides an overview of Uruguay's dissemination practices for real sector statistics compared to the SDDS"--Abstract 
505 0 |a Cover; CONTENTS; GLOSSARY; OVERALL ASSESSMENT; ASSESSMENT BY AGENCY AND DATASET; TABLES; 1. Data Quality Assessment Framework 2012-Summary Results; 2a. Assessment of Data Quality-Dimensions 0 and 1-Central Bank of Uruguay; 2b. Assessment of Data Quality-Dimensions 0 and 1-National Institute of Statistics; 3a. Assessment of Data Quality-Dimensions 2 to 5-National Accounts; 3b. Assessment of Data Quality-Dimensions 2 to 5-Consumer Price Index; 3c. Assessment of Data Quality-Dimensions 2 to 5-Producer Price Index; STAFF'S RECOMMENDATIONS; APPENDIX TABLES. 
505 8 |a Practices Compared to the SDDS Coverage, Periodicity, and Timeliness of DataCONTENTS; GLOSSARY; CROSS-CUTTING RECOMMENDATIONS; RESPONSE BY THE CENTRAL BANK OF URUGUAY; RESPONSE BY THE NATIONAL STATISTICS INSTITUTE; CONTENTS; GLOSSARY; NATIONAL ACCOUNTS; 0. Prerequisites of Quality; TABLES; 1. Response Rate to NIS's Surveys; 1. Assurances of integrity; 2. Methodological soundness; 3. Accuracy and reliability; 2. Coverage Annual Source Data National Accounts in Terms of Value Added; 3. Coverage of Quarterly Source Data in Terms of Value Added. 
505 8 |a 4. Coverage of Monthly Source Data in Terms of Value Added4. Serviceability; 5. Accessibility; 5. Data Quality Assessment Framework (2012): Summary of Results for National Accounts; PRICE STATISTICS (CONSUMER PRICE INDEX); 0. Prerequisites of Quality; 1. Assurances of Integrity; 2. Methodological Soundness; 3. Accuracy and Reliability; 4. Serviceability; 5. Accessibility; 6. Data Quality Assessment Framework (2012): Summary of Results for Consumer Price Index; PRICE STATISTICS (PRODUCER PRICE INDEX); 0. Prerequisites of Quality; 1. Assurances of Integrity; 2. Methodological Soundness. 
505 8 |a 3. Accuracy and Reliability4. Serviceability; 5. Accessibility; 7. Data Quality Assessment Framework (2012): Summary of Results for Producer Price Index; APPENDIXES; I. Summary of the Special Data Dissemination Standard; II. Data Quality Assessment Framework-Generic Framework; III. Users' Survey. 
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