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  • Search: subject:"nonsampling errors"
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Year of publication
Subject
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nonsampling errors 19 financial statistics 16 survey 16 surveys 16 time series 16 Data quality assessment framework 15 statistical techniques 15 Reports on the Observance of Standards and Codes 14 sampling 14 statistical system 13 statistics 13 Government finance statistics 10 National accounts 10 Monetary statistics 9 government finance 9 Balance of payments statistics 8 Consumer price indexes 7 central government debt 7 sampling errors 7 General Data Dissemination System 6 government agencies 6 sample design 6 statistical information 6 national accounts statistics 5 Producer price indexes 4 Special Data Dissemination Standard 4 annual accounts 4 budget execution 4 data sources 4 external debt 4 national accounts 4 national accounts data 4 public finance 4 sample surveys 4 Statistics 3 accrual accounting 3 balance of payments 3 budget classification 3 budget execution data 3 budget law 3
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Online availability
All
Free 20 CC license 1
Type of publication
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Book / Working Paper 18 Article 2
Type of publication (narrower categories)
All
Working Paper 2 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1 research-article 1
Language
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Undetermined 17 English 3
Author
All
Ilves, Maiki 2 Dang, Hai-Anh Hoang 1 Ford, Barry L. 1 Glewwe, Paul 1 Nealon, Jack 1 Tortora, Robert D. 1
Institution
All
International Monetary Fund 16 International Monetary Fund (IMF) 16
Published in...
All
IMF Staff Country Reports 16 Agricultural Economics Research 1 The World Bank Economic Review 1 Working Paper 1 Working paper 1
Source
All
RePEc 17 ECONIS (ZBW) 1 EconStor 1 Other ZBW resources 1
Showing 1 - 10 of 20
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Estimation with probability edited survey data under nonresponse
Ilves, Maiki - 2025
Probabilistic editing has been introduced to enable valid inference using established survey sampling theory in situations when some of the collected data points may have measurement errors and are therefore submitted to an editing process. To reduce the editing effort and avoid over-editing, in...
Persistent link: https://www.econbiz.de/10015361354
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Estimation with probability edited survey data under nonresponse
Ilves, Maiki - 2025
Probabilistic editing has been introduced to enable valid inference using established survey sampling theory in situations when some of the collected data points may have measurement errors and are therefore submitted to an editing process. To reduce the editing effort and avoid over-editing, in...
Persistent link: https://www.econbiz.de/10015207175
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Republic of Armenia; Report on the Observance of Standards and Codes: Data Module, Response by the Authorities, and Detailed Assessment Using the Data Quality Assessment Framework (DQAF)
International Monetary Fund (IMF); International … - 2009
This paper presents the Republic of Armenia’s report on the Observance of Standards and Codes and detailed assessment using the data quality assessment framework. Armenia exceeds Special Data Dissemination Standard requirements for both periodicity and timeliness in releases of data on...
Persistent link: https://www.econbiz.de/10011245151
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Mauritius; Report on Observance of Standards and Codes-Data Module, Response by the Authorities, and Detailed Assessment Using the Data Quality Assessment Framework (DQAF)
International Monetary Fund (IMF); International … - 2008
This report on the observance of Standards and Codes—Data Module provides an assessment of Mauritius’s macroeconomic statistics against the Special Data Dissemination Standard complemented by an assessment of data quality based on the IMF’s Data Quality Assessment Framework...
Persistent link: https://www.econbiz.de/10011242653
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Republic of Kazakhstan; Report on the Observance of Standards and Codes: Data Module, Response by the Authorities, and Detailed Assessments Using the Data Quality Assessment Framework (DQAF)
International Monetary Fund (IMF); International … - 2008
The data quality assessment shows that Kazakhstan is in observance of the Special Data Dissemination Standard, meeting the specifications for coverage, periodicity, timeliness, and the dissemination of advance release calendars. Executive Directors have suggested a set of recommendations that...
Persistent link: https://www.econbiz.de/10011244517
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Mongolia; Report on the Observance of Standards and Codes: Data Module, Response by the Authorities, and Detailed Assessment Using the Data Quality Assessment Framework (DQAF)
International Monetary Fund (IMF); International … - 2008
Mongolia meets many of the General Data Dissemination System (GDDS) recommendations for coverage, periodicity, and timeliness. The major exceptions include the following: the incomplete coverage of the international investment position; the nonavailability of a primary commodity, agricultural,...
Persistent link: https://www.econbiz.de/10011245325
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The Impact of Decentralized Data Entry on the Quality of Household Survey Data in Developing Countries : Evidence from a Randomized Experiment in Vietnam
Glewwe, Paul; Dang, Hai-Anh Hoang - In: The World Bank Economic Review 22 (2008) 1, pp. 165-185
Computers were provided to randomly selected districts participating in a household survey in Vietnam to assess the impact on data quality of entering data within a day or two of completing the interview rather than several weeks later in the provincial capital. Provision of computers had no...
Persistent link: https://www.econbiz.de/10015360565
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Chile; Report on the Observance of Standards and Codes: Data Module, Response by the Authorities, and Detailed Assessment Using the Data Quality Assessment Framework (DQAF)
International Monetary Fund (IMF); International … - 2007
This Report on the Observance of Standards and Codes data module provides an assessment of Chile’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....
Persistent link: https://www.econbiz.de/10011242515
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Botswana; Report on the Observance of Standards and Codes: Data Module, Response by the Authorities, and Detailed Assessment Using the Data Quality Assessment Framework (DQAF)
International Monetary Fund (IMF); International … - 2007
The Report on the Observance of Standards and Codes (ROSC)—Data Module provides an assessment of Botswana’s macroeconomic statistics against the recommendations of the General Data Dissemination System, complemented by an assessment of data quality based on the IMF’s Data...
Persistent link: https://www.econbiz.de/10011245817
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Paraguay; Report on the Observance of Standards and Codes: Data Module, Response by the Authorities, Detailed Assessments Using the Data Quality Assessment Framework (DQAF)
International Monetary Fund (IMF); International … - 2006
The country lacks an integrated statistical framework that would take account of the various analytical and accounting linkages across macroeconomic statistics, and the relationships between regulatory tools, intermediate objectives, and policy goals. There is significant room to improve the...
Persistent link: https://www.econbiz.de/10011243644
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