Pub Date : 2005-08-10DOI: 10.3233/SJU-2004-213-405
T. Walczak
The quality of statistical information is a decisive factor determining the success in fulfilling the mission of official statistics. According to the most common definition, the quality of statistics is assessed by the following seven features: relevance, accuracy, timeliness, coherence, completeness, comparability, accessibility and transparency. This definition puts the users point of view in the first place. It is of crucial importance, therefore, to learn the opinion on information needs of users as completely as possible at the initial stage of the designing of survey programmes. This paper describes the system of discussions and consultations with users on the annual survey programmes. It presents the users view on the quality of statistical information, and especially the rank given by users to individual features of the quality. Special attention is paid to satisfying the information needs of users classified as the "wider audience". The description of this user group is given, as well as the description of the methods for co-operation with them, aiming at best satisfaction of their expectations on statistics quality. 1. Initial remarks Each producer of goods and services is interested in having products of highest possible quality under conditions of acceptable production costs. This feature constitutes a decisive factor influencing the interest of consumers in a given brand and exerts an influence on their market behaviour. Statisticians must follow similar rules, because the quality of statistical information is crucial for the success in accomplishing the mission of official statistics. It consists of providing the user with high quality information on the economy and society. This information could be necessary for decision-making, for research purposes and for enabling the public to evaluate the efficiency of social and economic development programmes (7). Therefore all NSIs aknowledge the great significance of continuous improvement in the quality of information which they disseminate to users. Attempts in this regard have been particularly strong since the beginning of the 1990s. In many statistical offices we may observe growing awareness of the necessity to adopt a systematic approach to quality issues, which aims not only at improvement of products quality, but also of the whole process of creating and disseminating information, and as a result, - of the quality of the statistical system as a whole (4). Focusing on defining the notion of quality has been a considerable accomplishment of the discussion in the community of statisticians. The starting point for such discussion was a universal definition of quality applied by the International Organisation for Standardisation (ISO) as a "totality of characteristics of an entity (a product or service) that bear on its ability to satisfy stated or implied needs" (3). In relation to statistics, the most common definition of quality is the one proposed by Eurostat, which assesses qual
{"title":"How is quality of statistics managed and understood for a wider audience","authors":"T. Walczak","doi":"10.3233/SJU-2004-213-405","DOIUrl":"https://doi.org/10.3233/SJU-2004-213-405","url":null,"abstract":"The quality of statistical information is a decisive factor determining the success in fulfilling the mission of official statistics. According to the most common definition, the quality of statistics is assessed by the following seven features: relevance, accuracy, timeliness, coherence, completeness, comparability, accessibility and transparency. This definition puts the users point of view in the first place. It is of crucial importance, therefore, to learn the opinion on information needs of users as completely as possible at the initial stage of the designing of survey programmes. This paper describes the system of discussions and consultations with users on the annual survey programmes. It presents the users view on the quality of statistical information, and especially the rank given by users to individual features of the quality. Special attention is paid to satisfying the information needs of users classified as the \"wider audience\". The description of this user group is given, as well as the description of the methods for co-operation with them, aiming at best satisfaction of their expectations on statistics quality. 1. Initial remarks Each producer of goods and services is interested in having products of highest possible quality under conditions of acceptable production costs. This feature constitutes a decisive factor influencing the interest of consumers in a given brand and exerts an influence on their market behaviour. Statisticians must follow similar rules, because the quality of statistical information is crucial for the success in accomplishing the mission of official statistics. It consists of providing the user with high quality information on the economy and society. This information could be necessary for decision-making, for research purposes and for enabling the public to evaluate the efficiency of social and economic development programmes (7). Therefore all NSIs aknowledge the great significance of continuous improvement in the quality of information which they disseminate to users. Attempts in this regard have been particularly strong since the beginning of the 1990s. In many statistical offices we may observe growing awareness of the necessity to adopt a systematic approach to quality issues, which aims not only at improvement of products quality, but also of the whole process of creating and disseminating information, and as a result, - of the quality of the statistical system as a whole (4). Focusing on defining the notion of quality has been a considerable accomplishment of the discussion in the community of statisticians. The starting point for such discussion was a universal definition of quality applied by the International Organisation for Standardisation (ISO) as a \"totality of characteristics of an entity (a product or service) that bear on its ability to satisfy stated or implied needs\" (3). In relation to statistics, the most common definition of quality is the one proposed by Eurostat, which assesses qual","PeriodicalId":85585,"journal":{"name":"Statistical journal of the United Nations Economic Commission for Europe","volume":"167 1","pages":"223-230"},"PeriodicalIF":0.0,"publicationDate":"2005-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83357369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2005-08-10DOI: 10.3233/SJU-2004-213-412
F. Kleima, Paul Warns, E. Opperdoes
{"title":"Constructing a volume index for hospital services in the Netherlands","authors":"F. Kleima, Paul Warns, E. Opperdoes","doi":"10.3233/SJU-2004-213-412","DOIUrl":"https://doi.org/10.3233/SJU-2004-213-412","url":null,"abstract":"","PeriodicalId":85585,"journal":{"name":"Statistical journal of the United Nations Economic Commission for Europe","volume":"74 1","pages":"291-297"},"PeriodicalIF":0.0,"publicationDate":"2005-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86343646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2005-08-10DOI: 10.3233/SJU-2004-213-411
D. Trewin
Service industries are becoming an increasingly important part of our economies. Not surprisingly there is a corresponding interest in statistics about service industries. The challenges in compiling statistics are often very different to other industries. This paper describes the programme for service industry statistics in the Australian Bureau of Statistics. It also describes some of the more interesting developments in Australia - new presentations in statistics such as satellite accounts; globalisation statistics including the activities of foreign affiliates; knowledge based economy and society statistics; direct volume measurement particularly for largely non-market industries such as health and education services; and price statistics for service industries such as finance, telecommunications and computer software services. These statistics are very important for measuring productivity for example.
{"title":"Measurement of services: Recent ABS experience","authors":"D. Trewin","doi":"10.3233/SJU-2004-213-411","DOIUrl":"https://doi.org/10.3233/SJU-2004-213-411","url":null,"abstract":"Service industries are becoming an increasingly important part of our economies. Not surprisingly there is a corresponding interest in statistics about service industries. The challenges in compiling statistics are often very different to other industries. This paper describes the programme for service industry statistics in the Australian Bureau of Statistics. It also describes some of the more interesting developments in Australia - new presentations in statistics such as satellite accounts; globalisation statistics including the activities of foreign affiliates; knowledge based economy and society statistics; direct volume measurement particularly for largely non-market industries such as health and education services; and price statistics for service industries such as finance, telecommunications and computer software services. These statistics are very important for measuring productivity for example.","PeriodicalId":85585,"journal":{"name":"Statistical journal of the United Nations Economic Commission for Europe","volume":"82 1","pages":"277-290"},"PeriodicalIF":0.0,"publicationDate":"2005-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89783727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2005-08-10DOI: 10.3233/SJU-2004-213-402
L. Biggeri
The paper focuses on integrity as an essential principle for an effective system of official statistics. It attempts to evaluate the impact of some recent developments on its implementation (increasing complexity and instability of the socio-economic phenomena, increasing demand for statistics, emergence of private sector statistical producers, growing media domination in society, etc.), presenting some examples of the situation in Italy. The integrity of official statistics refers to the statistical staff, processes and data, and these aspects of integrity are inseparable and complementary. Integrity is also a component of the quality of official statistics perceived by users and by society in general. The producers of official statistics must start from the principle of integrity to re-examine and integrate aspects that are apparently separate from the principles driving the activities of official statistics. Implementing integrity requires establishing clear rules (code of practice), together with a series of internal protocols and procedures for their implementation. An independent guardian body should also be established to evaluate the fulfilment of the UN principles of official statistics.
{"title":"Integrity – a prerequisite of independence and credibility of official statistics","authors":"L. Biggeri","doi":"10.3233/SJU-2004-213-402","DOIUrl":"https://doi.org/10.3233/SJU-2004-213-402","url":null,"abstract":"The paper focuses on integrity as an essential principle for an effective system of official statistics. It attempts to evaluate the impact of some recent developments on its implementation (increasing complexity and instability of the socio-economic phenomena, increasing demand for statistics, emergence of private sector statistical producers, growing media domination in society, etc.), presenting some examples of the situation in Italy. The integrity of official statistics refers to the statistical staff, processes and data, and these aspects of integrity are inseparable and complementary. Integrity is also a component of the quality of official statistics perceived by users and by society in general. The producers of official statistics must start from the principle of integrity to re-examine and integrate aspects that are apparently separate from the principles driving the activities of official statistics. Implementing integrity requires establishing clear rules (code of practice), together with a series of internal protocols and procedures for their implementation. An independent guardian body should also be established to evaluate the fulfilment of the UN principles of official statistics.","PeriodicalId":85585,"journal":{"name":"Statistical journal of the United Nations Economic Commission for Europe","volume":"29 Pt 6 1","pages":"199-206"},"PeriodicalIF":0.0,"publicationDate":"2005-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80369274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2005-08-10DOI: 10.3233/SJU-2004-213-407
Jean-Pierre Le Gléau
{"title":"The system of official statistics in France: decentralized, but closely coordinated","authors":"Jean-Pierre Le Gléau","doi":"10.3233/SJU-2004-213-407","DOIUrl":"https://doi.org/10.3233/SJU-2004-213-407","url":null,"abstract":"","PeriodicalId":85585,"journal":{"name":"Statistical journal of the United Nations Economic Commission for Europe","volume":"159 1","pages":"241-246"},"PeriodicalIF":0.0,"publicationDate":"2005-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86732155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This important and comprehensive manual provides guidelines for statistical offices and other agencies responsible for constructing CPIs and explains in depth the methods that are used to calculate a CPI. It also examines the underlying economic and statistical concepts and principles needed for making choices in efficient and cost-effective ways and for appreciating the full implications of those choices.
{"title":"Consumer price index manual","authors":"P. Hill","doi":"10.3233/SJU-2004-21201","DOIUrl":"https://doi.org/10.3233/SJU-2004-21201","url":null,"abstract":"This important and comprehensive manual provides guidelines for statistical offices and other agencies responsible for constructing CPIs and explains in depth the methods that are used to calculate a CPI. It also examines the underlying economic and statistical concepts and principles needed for making choices in efficient and cost-effective ways and for appreciating the full implications of those choices.","PeriodicalId":85585,"journal":{"name":"Statistical journal of the United Nations Economic Commission for Europe","volume":"51 1","pages":"87-93"},"PeriodicalIF":0.0,"publicationDate":"2005-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72713797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A number of Central Banks use a measure of core inflation as an operational guide and analytical tool for monetary policy. But what is core inflation and why is it considered useful? This paper considers the conceptual basis underlying alternative measures of core inflation and why they are considered effective indicators of the underlying inflationary pressure in the economy. Existing research evaluating the various measures against a range of ideal properties is reviewed. The paper also gauges the value of the core inflation measures against traditional standard statistical approaches using seasonal adjustment and the estimation of the underlying trend.
{"title":"Core inflation, seasonal adjustment and measures of the underlying trend.","authors":"D. Fenwick","doi":"10.3233/SJU-2004-21203","DOIUrl":"https://doi.org/10.3233/SJU-2004-21203","url":null,"abstract":"A number of Central Banks use a measure of core inflation as an operational guide and analytical tool for monetary policy. But what is core inflation and why is it considered useful? This paper considers the conceptual basis underlying alternative measures of core inflation and why they are considered effective indicators of the underlying inflationary pressure in the economy. Existing research evaluating the various measures against a range of ideal properties is reviewed. The paper also gauges the value of the core inflation measures against traditional standard statistical approaches using seasonal adjustment and the estimation of the underlying trend.","PeriodicalId":85585,"journal":{"name":"Statistical journal of the United Nations Economic Commission for Europe","volume":"115 1","pages":"115-124"},"PeriodicalIF":0.0,"publicationDate":"2005-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79384332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper discusses how the Australian Bureau of Statistics (ABS) compiled its series of experimental price indexes for financial services. It discusses how the ABS calculated both the weight, and the estimates of changes in price, for interest margins, fees and charges, and indirect taxes. It also discusses some of the more difficult issues which the ABS encountered during development.
{"title":"Experimental price indexes for financial services.","authors":"Stephen Frost","doi":"10.3233/SJU-2004-21209","DOIUrl":"https://doi.org/10.3233/SJU-2004-21209","url":null,"abstract":"This paper discusses how the Australian Bureau of Statistics (ABS) compiled its series of experimental price indexes for financial services. It discusses how the ABS calculated both the weight, and the estimates of changes in price, for interest margins, fees and charges, and indirect taxes. It also discusses some of the more difficult issues which the ABS encountered during development.","PeriodicalId":85585,"journal":{"name":"Statistical journal of the United Nations Economic Commission for Europe","volume":"111 1","pages":"179-189"},"PeriodicalIF":0.0,"publicationDate":"2005-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79316301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Updating the Canadian CPI expenditure weights: Past experiences, current practices, and future prospects","authors":"M. Prud'homme","doi":"10.3233/SJU-2004-21204","DOIUrl":"https://doi.org/10.3233/SJU-2004-21204","url":null,"abstract":"","PeriodicalId":85585,"journal":{"name":"Statistical journal of the United Nations Economic Commission for Europe","volume":"1 1","pages":"125-137"},"PeriodicalIF":0.0,"publicationDate":"2005-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79612651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
There are two main approaches to measuring Owner Occupied Housing: the flow of services approach (covering rental equivalence and user cost) and the net acquisition. They use market price information for price measurement in the calculation of consumer's use of own housing. This paper describes these methods and treats extensively the simple user cost used for the calculation of owner occupied housing in Iceland. This method measures expenditure shares based on sticky real interest rate and depreciation. The price change of property is measured by a constant quality price index for all properties sold.
{"title":"Market price approach to simple user cost","authors":"R. Gudnason","doi":"10.3233/SJU-2004-21206","DOIUrl":"https://doi.org/10.3233/SJU-2004-21206","url":null,"abstract":"There are two main approaches to measuring Owner Occupied Housing: the flow of services approach (covering rental equivalence and user cost) and the net acquisition. They use market price information for price measurement in the calculation of consumer's use of own housing. This paper describes these methods and treats extensively the simple user cost used for the calculation of owner occupied housing in Iceland. This method measures expenditure shares based on sticky real interest rate and depreciation. The price change of property is measured by a constant quality price index for all properties sold.","PeriodicalId":85585,"journal":{"name":"Statistical journal of the United Nations Economic Commission for Europe","volume":"32 1","pages":"147-155"},"PeriodicalIF":0.0,"publicationDate":"2005-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72670147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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