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Record Nr. |
UNINA9910808028003321 |
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Titolo |
Uruguay : : Report on the Observance of Standards and Codes—Data Module |
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Pubbl/distr/stampa |
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Washington, D.C. : , : International Monetary Fund, , 2014 |
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ISBN |
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1-4755-8093-2 |
1-4755-5384-6 |
1-4755-8109-2 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (153 p.) |
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Collana |
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IMF Staff Country Reports |
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Disciplina |
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Soggetti |
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Economic development - Uruguay |
Economic policy - Uruguay |
Fiscal policy - Uruguay |
Macroeconomics |
Statistics |
General Aggregative Models: General |
Price Level |
Inflation |
Deflation |
Labor Economics: General |
Urban, Rural, and Regional Economics: Household Analysis: General |
Data Collection and Data Estimation Methodology |
Computer Programs: General |
Labour |
income economics |
Data capture & analysis |
National accounts |
Consumer price indexes |
Producer price indexes |
Labor |
Household consumption |
Prices |
National income |
Price indexes |
Labor economics |
Consumption |
Economics |
Economic statistics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di contenuto |
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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 |
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 |
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 |
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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Sommario/riassunto |
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This Report on the Observance of Standards and Codes—Data Module provides an assessment of Uruguay’s macroeconomic statistics against the Special Data Dissemination Standard (SDDS), complemented by an assessment of data quality based on the IMF’s Data Quality Assessment Framework 2012. The findings suggest that 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. In addition, 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. |
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