{"title":"The labour market situation for women on childcare leave in Hungary","authors":"J. Lakatos","doi":"10.3233/SJU-2006-23104","DOIUrl":"https://doi.org/10.3233/SJU-2006-23104","url":null,"abstract":"","PeriodicalId":85585,"journal":{"name":"Statistical journal of the United Nations Economic Commission for Europe","volume":"106 1","pages":"35-41"},"PeriodicalIF":0.0,"publicationDate":"2006-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90637811","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-2004-213-406
B. Pink
{"title":"Official statistics - a recognisable and enduring national resource","authors":"B. Pink","doi":"10.3233/SJU-2004-213-406","DOIUrl":"https://doi.org/10.3233/SJU-2004-213-406","url":null,"abstract":"","PeriodicalId":85585,"journal":{"name":"Statistical journal of the United Nations Economic Commission for Europe","volume":"5 1","pages":"231-239"},"PeriodicalIF":0.0,"publicationDate":"2005-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73318221","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-2004-213-404
Clementina Ivan-Ungureanu
{"title":"How to anticipate users' needs when defining priorities within statistical programme: Experience of a candidate country","authors":"Clementina Ivan-Ungureanu","doi":"10.3233/SJU-2004-213-404","DOIUrl":"https://doi.org/10.3233/SJU-2004-213-404","url":null,"abstract":"","PeriodicalId":85585,"journal":{"name":"Statistical journal of the United Nations Economic Commission for Europe","volume":"3 1","pages":"215-222"},"PeriodicalIF":0.0,"publicationDate":"2005-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88336164","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-2004-213-403
A. V. Krimpen
The paper analyses the need for a pro-active approach by statistical organizations. It discusses the pros and cons, argues the case for a pro-active approach and presents some experiences. The role of Statistical Offices in the policymaking process is described, with a special relation to the EU Lisbon process. Tools are presented that can help to improve the relationships.
{"title":"Pro-activity: a prerequisite?","authors":"A. V. Krimpen","doi":"10.3233/SJU-2004-213-403","DOIUrl":"https://doi.org/10.3233/SJU-2004-213-403","url":null,"abstract":"The paper analyses the need for a pro-active approach by statistical organizations. It discusses the pros and cons, argues the case for a pro-active approach and presents some experiences. The role of Statistical Offices in the policymaking process is described, with a special relation to the EU Lisbon process. Tools are presented that can help to improve the relationships.","PeriodicalId":85585,"journal":{"name":"Statistical journal of the United Nations Economic Commission for Europe","volume":"26 1","pages":"207-213"},"PeriodicalIF":0.0,"publicationDate":"2005-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73495367","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-2004-213-401
I. Fellegi
This paper focuses on measures that may help a statistical agency to maintain the credibility of official statistics. Three broad sets of factors that have to be addressed in order to achieve and maintain credibility are distinguished. The first are structural factors having to do with the legislative and organizational arrangements within which the statistical agency operates. The second set are the statistical factors, which pertains to the way the agency collects, processes and publishes its data and manages the quality of those data. Finally, there is a set of factors that are referred to as reputational. These factors are aimed at ensuring that users, including importantly the media and the general public, see and appreciate that the outputs of the agency deserve to be trusted. Credibility is, to a considerable extent, a matter of perception.
{"title":"Maintaining the credibility of official statistics","authors":"I. Fellegi","doi":"10.3233/SJU-2004-213-401","DOIUrl":"https://doi.org/10.3233/SJU-2004-213-401","url":null,"abstract":"This paper focuses on measures that may help a statistical agency to maintain the credibility of official statistics. Three broad sets of factors that have to be addressed in order to achieve and maintain credibility are distinguished. The first are structural factors having to do with the legislative and organizational arrangements within which the statistical agency operates. The second set are the statistical factors, which pertains to the way the agency collects, processes and publishes its data and manages the quality of those data. Finally, there is a set of factors that are referred to as reputational. These factors are aimed at ensuring that users, including importantly the media and the general public, see and appreciate that the outputs of the agency deserve to be trusted. Credibility is, to a considerable extent, a matter of perception.","PeriodicalId":85585,"journal":{"name":"Statistical journal of the United Nations Economic Commission for Europe","volume":"9 1","pages":"191-198"},"PeriodicalIF":0.0,"publicationDate":"2005-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82784060","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-2004-213-414
Vera Norrman
{"title":"Progress in development of producer price indices for the service industries in Europe","authors":"Vera Norrman","doi":"10.3233/SJU-2004-213-414","DOIUrl":"https://doi.org/10.3233/SJU-2004-213-414","url":null,"abstract":"","PeriodicalId":85585,"journal":{"name":"Statistical journal of the United Nations Economic Commission for Europe","volume":"86 1","pages":"309-322"},"PeriodicalIF":0.0,"publicationDate":"2005-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83487901","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-2004-213-408
Gunilla Lundholm
The paper gives an overview of the functioning of the official statistical system in Sweden with particular emphasis on coordination tools. The Swedish statistical system was decentralised in 1994. Today Statistics Sweden is responsible for about 40 percent of the number of products but for slightly more than 80 percent of the production of official statistics. The approach Statistics Sweden has chosen in its coordinating function is to encourage “soft” coordination. This means encouraging discussions and trying to reach consensus before decisions rather than issuing regulations. So far, this approach to coordination of Swedish official statistics has been successful. The cooperation between the authorities responsible for official statistics and the transparency and efficiency of the system has improved. However, there are still many problems to solve and many possibilities for improvement.
{"title":"The system of official statistics in Sweden – coordination through cooperation","authors":"Gunilla Lundholm","doi":"10.3233/SJU-2004-213-408","DOIUrl":"https://doi.org/10.3233/SJU-2004-213-408","url":null,"abstract":"The paper gives an overview of the functioning of the official statistical system in Sweden with particular emphasis on coordination tools. The Swedish statistical system was decentralised in 1994. Today Statistics Sweden is responsible for about 40 percent of the number of products but for slightly more than 80 percent of the production of official statistics. The approach Statistics Sweden has chosen in its coordinating function is to encourage “soft” coordination. This means encouraging discussions and trying to reach consensus before decisions rather than issuing regulations. So far, this approach to coordination of Swedish official statistics has been successful. The cooperation between the authorities responsible for official statistics and the transparency and efficiency of the system has improved. However, there are still many problems to solve and many possibilities for improvement.","PeriodicalId":85585,"journal":{"name":"Statistical journal of the United Nations Economic Commission for Europe","volume":"49 3 1","pages":"247-254"},"PeriodicalIF":0.0,"publicationDate":"2005-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73091740","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-2004-213-410
Henning Ahnert
This paper reviews the current state and identifies priorities for the development of short-term statistics in the service sector for the euro area. The service sector covers 70% of the euro area and EU economy, but statistical information at monthly or quarterly frequency is rare, with the exception of information on retail trade. More data will become available from some EU regulations in the course of the next few years, but, in particular, economic activity and prices are not sufficiently covered yet. As part of the 5th Progress Report of the Economic and Financial Committee (EFC) on European Monetary Union (EMU) statistics, the Statistical Programme Committee (SPC) and the Committee on Monetary, Financial and Balance of Payments Statistics (CMFB) jointly proposed steps to improve service statistics. The proposed priorities for improvements of short-term statistics therefore include new indicators (output, output prices and employment), improvements in coverage particularly in the market sector, and better timeliness for some indicators. The new draft EU Regulation concerning short-term statistics addresses several of these issues and is therefore welcomed by the European Central Bank (ECB). For its implementation a co-ordination approach at European level is highly desirable in order to avoid delays in the release of statistics for the euro area as a whole.
{"title":"Short-term statistics on services for the euro area","authors":"Henning Ahnert","doi":"10.3233/SJU-2004-213-410","DOIUrl":"https://doi.org/10.3233/SJU-2004-213-410","url":null,"abstract":"This paper reviews the current state and identifies priorities for the development of short-term statistics in the service sector for the euro area. The service sector covers 70% of the euro area and EU economy, but statistical information at monthly or quarterly frequency is rare, with the exception of information on retail trade. More data will become available from some EU regulations in the course of the next few years, but, in particular, economic activity and prices are not sufficiently covered yet. As part of the 5th Progress Report of the Economic and Financial Committee (EFC) on European Monetary Union (EMU) statistics, the Statistical Programme Committee (SPC) and the Committee on Monetary, Financial and Balance of Payments Statistics (CMFB) jointly proposed steps to improve service statistics. The proposed priorities for improvements of short-term statistics therefore include new indicators (output, output prices and employment), improvements in coverage particularly in the market sector, and better timeliness for some indicators. The new draft EU Regulation concerning short-term statistics addresses several of these issues and is therefore welcomed by the European Central Bank (ECB). For its implementation a co-ordination approach at European level is highly desirable in order to avoid delays in the release of statistics for the euro area as a whole.","PeriodicalId":85585,"journal":{"name":"Statistical journal of the United Nations Economic Commission for Europe","volume":"6 1","pages":"267-276"},"PeriodicalIF":0.0,"publicationDate":"2005-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75528917","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-2004-213-409
B. Cave, Seppo Varjonen
OECD has a current project to coordinate international developments in services statistics. The project addresses the problems of how to make the coordination mechanisms more efficient, avoid duplication of effort, identify and ensure coverage of essential issues, and how to communicate conceptual/methodological outputs to all that need them. In the context of improving statistics on services generally, this paper asks some basic questions on why we need better measures of service prices and volumes. What are the obstacles to progress? What are the choices and priorities? What about quality and international comparability of the resulting statistics? Measurement problems exist and might sometimes be too difficult to be solved “properly”, nonetheless we should strive for an amelioration of methods, greater transparency and a degree of international harmonisation. Viewing this work from an international perspective, the paper outlines the progress achieved to date on services prices and volumes and suggests a mechanism to take the work forward. It reports on some recent progress on measurement of insurance output. In conclusion some discussion points on directions for future work are put forward.
{"title":"International services statistics strategy and coordination - problems and progress with price and volume measurement in the services sector","authors":"B. Cave, Seppo Varjonen","doi":"10.3233/SJU-2004-213-409","DOIUrl":"https://doi.org/10.3233/SJU-2004-213-409","url":null,"abstract":"OECD has a current project to coordinate international developments in services statistics. The project addresses the problems of how to make the coordination mechanisms more efficient, avoid duplication of effort, identify and ensure coverage of essential issues, and how to communicate conceptual/methodological outputs to all that need them. In the context of improving statistics on services generally, this paper asks some basic questions on why we need better measures of service prices and volumes. What are the obstacles to progress? What are the choices and priorities? What about quality and international comparability of the resulting statistics? Measurement problems exist and might sometimes be too difficult to be solved “properly”, nonetheless we should strive for an amelioration of methods, greater transparency and a degree of international harmonisation. Viewing this work from an international perspective, the paper outlines the progress achieved to date on services prices and volumes and suggests a mechanism to take the work forward. It reports on some recent progress on measurement of insurance output. In conclusion some discussion points on directions for future work are put forward.","PeriodicalId":85585,"journal":{"name":"Statistical journal of the United Nations Economic Commission for Europe","volume":"141 1","pages":"255-266"},"PeriodicalIF":0.0,"publicationDate":"2005-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80105430","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-2004-213-405
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}
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