Pub Date : 2004-08-17DOI: 10.3233/SJU-2003-203-404
Z. Kudabaev, M. Minbaev
Different aspects of poverty in Kyrgyzstan are studied in the article. The article explains methodological issues of poverty estimation, gives a brief description of the current situation and changes in poverty. Data reflecting progress in alleviating poverty and extreme poverty are presented. It is shown that the increase in average income have a greater impact on poverty reduction than redistribution of resources aimed at reducing income inequality. To alleviate extreme poverty the strategy of direct support to the poorest population should be conducted. The reasons for poverty reduction are briefly analysed. The accuracy of the estimate of poverty estimation and its change is assessed. The results of clustering are presented for the national and regional levels. 1. Methodology of poverty level identification in the Kyrgyz Republic Various concepts and approaches are used to describe and understand poverty. The food-based approach is accepted in a few Asian countries where poor are considered those people whose calorie intake is lower than a certain level. In some countries of Africa the number of pigs in a household is considered to be the indicator of wellbeing. The one-dollar approach is widely accepted, according to which the criterion of poverty is food consumption below one dollar per day per person. The methodology of poverty measurement used by the National Statistical Committee of the Kyrgyz Republic is based on measuring household expenditures according to the Living Standard Measurement Surveys (LSMS) of the World Bank. In practice the choice of poverty measurement methods depends on goals. At present the main goal in Kyrgyzstan is to reduce poverty and support the poor by providing them with sufficient amount of food, goods and basic services. Poverty in Kyrgyzstan is measured by the method of absolute poverty level. Kyrgyzstan adopted this approach under the recommendation of the World Bank experts. It allows the identification of those population groups, which do not have sufficient income in cash or in kind to achieve consumption of a necessary amount of food, goods and basic services. A reasonable approach towards identification of poverty consists in identification of the main needs of the population. The main need of a human being is nutrition. Food products necessary for the achievement of the recommended minimum level of food consumption make up a part of this vitally important consumption threshold. Essential nonfoods and services should also be added. The structure of food consumption of 1/3 of the population with lowest incomes is assessed as the minimum set of food products. Further, the necessary quantity of these products is determined based
{"title":"Poverty reduction in the Kyrgyz Republic and accuracy of measuring it","authors":"Z. Kudabaev, M. Minbaev","doi":"10.3233/SJU-2003-203-404","DOIUrl":"https://doi.org/10.3233/SJU-2003-203-404","url":null,"abstract":"Different aspects of poverty in Kyrgyzstan are studied in the article. The article explains methodological issues of poverty estimation, gives a brief description of the current situation and changes in poverty. Data reflecting progress in alleviating poverty and extreme poverty are presented. It is shown that the increase in average income have a greater impact on poverty reduction than redistribution of resources aimed at reducing income inequality. To alleviate extreme poverty the strategy of direct support to the poorest population should be conducted. The reasons for poverty reduction are briefly analysed. The accuracy of the estimate of poverty estimation and its change is assessed. The results of clustering are presented for the national and regional levels. 1. Methodology of poverty level identification in the Kyrgyz Republic Various concepts and approaches are used to describe and understand poverty. The food-based approach is accepted in a few Asian countries where poor are considered those people whose calorie intake is lower than a certain level. In some countries of Africa the number of pigs in a household is considered to be the indicator of wellbeing. The one-dollar approach is widely accepted, according to which the criterion of poverty is food consumption below one dollar per day per person. The methodology of poverty measurement used by the National Statistical Committee of the Kyrgyz Republic is based on measuring household expenditures according to the Living Standard Measurement Surveys (LSMS) of the World Bank. In practice the choice of poverty measurement methods depends on goals. At present the main goal in Kyrgyzstan is to reduce poverty and support the poor by providing them with sufficient amount of food, goods and basic services. Poverty in Kyrgyzstan is measured by the method of absolute poverty level. Kyrgyzstan adopted this approach under the recommendation of the World Bank experts. It allows the identification of those population groups, which do not have sufficient income in cash or in kind to achieve consumption of a necessary amount of food, goods and basic services. A reasonable approach towards identification of poverty consists in identification of the main needs of the population. The main need of a human being is nutrition. Food products necessary for the achievement of the recommended minimum level of food consumption make up a part of this vitally important consumption threshold. Essential nonfoods and services should also be added. The structure of food consumption of 1/3 of the population with lowest incomes is assessed as the minimum set of food products. Further, the necessary quantity of these products is determined based","PeriodicalId":85585,"journal":{"name":"Statistical journal of the United Nations Economic Commission for Europe","volume":"42 1","pages":"241-254"},"PeriodicalIF":0.0,"publicationDate":"2004-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73319248","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 : 2004-08-17DOI: 10.3233/SJU-2003-203-410
Annegrete Wulff
Statistics Denmark has a long tradition of public online access to statistics. The first service dates back to the mid-1980s. In July 1999 an output database, www.StatBank.dk was launched on the Internet. Since then its contents and the possibility for the user to design the output in the required detail and format have been significantly improved. External use continues to increase. By the end of 2003 the number of table retrievals reached 1.2 million – a doubling since 2002. This is considered most satisfying in relation to a population of 5.3 million in Denmark. Recent improvements include: a full English version; various alternatives for presentation in charts and maps; connection to a publication facility, PX-PUBL, allowing authors to produce ready-to-print articles directly from the database; GESMES format as output; an alert service of user-selected data directly upon updates.
{"title":"StatBank Denmark 2003: Current development and future plans","authors":"Annegrete Wulff","doi":"10.3233/SJU-2003-203-410","DOIUrl":"https://doi.org/10.3233/SJU-2003-203-410","url":null,"abstract":"Statistics Denmark has a long tradition of public online access to statistics. The first service dates back to the mid-1980s. In July 1999 an output database, www.StatBank.dk was launched on the Internet. Since then its contents and the possibility for the user to design the output in the required detail and format have been significantly improved. External use continues to increase. By the end of 2003 the number of table retrievals reached 1.2 million – a doubling since 2002. This is considered most satisfying in relation to a population of 5.3 million in Denmark. Recent improvements include: a full English version; various alternatives for presentation in charts and maps; connection to a publication facility, PX-PUBL, allowing authors to produce ready-to-print articles directly from the database; GESMES format as output; an alert service of user-selected data directly upon updates.","PeriodicalId":85585,"journal":{"name":"Statistical journal of the United Nations Economic Commission for Europe","volume":"41 1","pages":"311-317"},"PeriodicalIF":0.0,"publicationDate":"2004-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86585943","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 : 2004-08-17DOI: 10.3233/SJU-2003-203-409
Simone Pfuderer
In recent years, international organisations have taken up work in the area of rural development statistics. Rural areas have suffered employment and population losses because the cuts in jobs in the agricultural industry have exceeded the number of jobs created in other industries which lead many rural residents to leave the countryside. In many countries as well as in international organisations, rural development policy has been on the agenda for several years as it was recognised that creating a rural environment that attracts people helps to solve problems in rural areas but also helps to slow down the continuing urbanisation and the problems arising from it. At present, the statistical information on rural areas, needed to assess the rural development policies and the rural economic, social and environmental situation is fairly thin on the ground, especially when it comes to internationally comparable data. Therefore, the UNECE Statistical Division, together with other international organisations, has started a project with the aim of arriving at international recommendations and best practices. The first step was to compile an inventory of rural development statistics that already exist in member countries and to gather some information on the policy aims of rural development. This paper summarises the main findings of the first step of the project and outlines areas for future work.
{"title":"Rural development statistics in the ECE region - A new project","authors":"Simone Pfuderer","doi":"10.3233/SJU-2003-203-409","DOIUrl":"https://doi.org/10.3233/SJU-2003-203-409","url":null,"abstract":"In recent years, international organisations have taken up work in the area of rural development statistics. Rural areas have suffered employment and population losses because the cuts in jobs in the agricultural industry have exceeded the number of jobs created in other industries which lead many rural residents to leave the countryside. In many countries as well as in international organisations, rural development policy has been on the agenda for several years as it was recognised that creating a rural environment that attracts people helps to solve problems in rural areas but also helps to slow down the continuing urbanisation and the problems arising from it. At present, the statistical information on rural areas, needed to assess the rural development policies and the rural economic, social and environmental situation is fairly thin on the ground, especially when it comes to internationally comparable data. Therefore, the UNECE Statistical Division, together with other international organisations, has started a project with the aim of arriving at international recommendations and best practices. The first step was to compile an inventory of rural development statistics that already exist in member countries and to gather some information on the policy aims of rural development. This paper summarises the main findings of the first step of the project and outlines areas for future work.","PeriodicalId":85585,"journal":{"name":"Statistical journal of the United Nations Economic Commission for Europe","volume":"78 1","pages":"303-310"},"PeriodicalIF":0.0,"publicationDate":"2004-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73623400","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 : 2004-08-17DOI: 10.3233/SJU-2003-203-405
Jorge Riera-Ledesma, Juan José SALAZAR-GONZÁLEZ
{"title":"Algorithms for automatic data editing.","authors":"Jorge Riera-Ledesma, Juan José SALAZAR-GONZÁLEZ","doi":"10.3233/SJU-2003-203-405","DOIUrl":"https://doi.org/10.3233/SJU-2003-203-405","url":null,"abstract":"","PeriodicalId":85585,"journal":{"name":"Statistical journal of the United Nations Economic Commission for Europe","volume":"99 1","pages":"255-264"},"PeriodicalIF":0.0,"publicationDate":"2004-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85800272","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 : 2004-08-17DOI: 10.3233/SJU-2003-203-411
Angela Me, C. Giovannelli
{"title":"The UNECE gender statistics database.","authors":"Angela Me, C. Giovannelli","doi":"10.3233/SJU-2003-203-411","DOIUrl":"https://doi.org/10.3233/SJU-2003-203-411","url":null,"abstract":"","PeriodicalId":85585,"journal":{"name":"Statistical journal of the United Nations Economic Commission for Europe","volume":"20 1","pages":"319-324"},"PeriodicalIF":0.0,"publicationDate":"2004-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81892490","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 : 2004-08-17DOI: 10.3233/SJU-2003-203-402
M. Rendall, C. Tomassini, D. Elliot
Household surveys are infrequently used for the estimation of international migration. The European Union (EU) Labour Force Surveys (LFS), however, compulsorily include a question on place of residence one year before. Potentially this provides a consistent definition across EU countries for estimating immigration from outside the EU, and for estimating a complete system of intra-EU migration. This potential is evaluated here for all (EU and non-EU) immigrants to the United Kingdom (UK) and for immigrants from the UK to continental EU countries. Evaluation is by comparison with estimates from the UK's port survey, the International Passenger Survey, and from the 1991 and 2001 UK Censuses. The UK LFS estimates the geographical distribution and time trend of total annual immigrants well. It underestimates the level of total annual immigration by 15 to 25 per cent, due mainly to its underestimating immigration of non-EU citizens. In both the UK and continental EU LFSs, returning citizen migrants are better estimated than are new migrants. The continental EU's LFSs exhibit considerable heterogeneity in their capturing of migrants from the UK. Aggregating them therefore results in poor estimation of both the total migrants to continental Europe and their distribution by country of destination.
{"title":"Estimation of annual international migration from the Labour Force Surveys of the United Kingdom and the continental European Union","authors":"M. Rendall, C. Tomassini, D. Elliot","doi":"10.3233/SJU-2003-203-402","DOIUrl":"https://doi.org/10.3233/SJU-2003-203-402","url":null,"abstract":"Household surveys are infrequently used for the estimation of international migration. The European Union (EU) Labour Force Surveys (LFS), however, compulsorily include a question on place of residence one year before. Potentially this provides a consistent definition across EU countries for estimating immigration from outside the EU, and for estimating a complete system of intra-EU migration. This potential is evaluated here for all (EU and non-EU) immigrants to the United Kingdom (UK) and for immigrants from the UK to continental EU countries. Evaluation is by comparison with estimates from the UK's port survey, the International Passenger Survey, and from the 1991 and 2001 UK Censuses. The UK LFS estimates the geographical distribution and time trend of total annual immigrants well. It underestimates the level of total annual immigration by 15 to 25 per cent, due mainly to its underestimating immigration of non-EU citizens. In both the UK and continental EU LFSs, returning citizen migrants are better estimated than are new migrants. The continental EU's LFSs exhibit considerable heterogeneity in their capturing of migrants from the UK. Aggregating them therefore results in poor estimation of both the total migrants to continental Europe and their distribution by country of destination.","PeriodicalId":85585,"journal":{"name":"Statistical journal of the United Nations Economic Commission for Europe","volume":"17 1","pages":"219-234"},"PeriodicalIF":0.0,"publicationDate":"2004-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80545835","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 : 2004-08-17DOI: 10.3233/SJU-2003-203-401
Jozef Olenski
In a globalised, open, market economy the international standardisation of methodologies and indicators in different fields of social statistics, similar to that achieved in economic statistics on the basis of the SNA, is necessary both for governments and international organisations. Those standards are especially needed by transition countries, which are transforming their national statistical systems. The paper analyses the implications of the transition processes for social statistics and stresses the need for international standards. The specificity of standardisation in the field of social statistics on global level is analysed. On this basis it proposes the systematic approach and the generic standard for standardization on social statistics (SSDIS) and a strategy of their development and implementation on national and international level.
{"title":"The framework of standards for global harmonisation of social statistics (with special reference to transition and globalisation processes)","authors":"Jozef Olenski","doi":"10.3233/SJU-2003-203-401","DOIUrl":"https://doi.org/10.3233/SJU-2003-203-401","url":null,"abstract":"In a globalised, open, market economy the international standardisation of methodologies and indicators in different fields of social statistics, similar to that achieved in economic statistics on the basis of the SNA, is necessary both for governments and international organisations. Those standards are especially needed by transition countries, which are transforming their national statistical systems. The paper analyses the implications of the transition processes for social statistics and stresses the need for international standards. The specificity of standardisation in the field of social statistics on global level is analysed. On this basis it proposes the systematic approach and the generic standard for standardization on social statistics (SSDIS) and a strategy of their development and implementation on national and international level.","PeriodicalId":85585,"journal":{"name":"Statistical journal of the United Nations Economic Commission for Europe","volume":"8 1","pages":"185-217"},"PeriodicalIF":0.0,"publicationDate":"2004-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73326667","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 : 2004-08-17DOI: 10.3233/SJU-2003-203-408
T. Davis
The use of information and communications technologies and e-commerce in particular has often been cited as a significant factor in generating and sustaining economic growth. With the burst of the dot.com bubble in 2000, this exuberance was deflated and the pendulum swung the other way. Nevertheless, despite the fact that many of the early, exuberant and perhaps self-interested predictions of growth and impact have proven incorrect, there remains little argument that e-commerce is having, and will have, a significant transformative effect on economic and social activities and relationships throughout the world. These impacts present great opportunities, but also great challenges for all countries. An indispensable ingredient in addressing such challenges, and exploiting the opportunities, is reliable, consistent, internationally-comparable data. Initially, many countries were slow to establish e-commerce or even ICT measurement programmes. Others may have been caught up in the enthusiasm and rushed to collect core numbers without considering how they would be used or how they could be compared internationally. In that regard, defining e-commerce has been the source of much debate. The good news though is that international forums did exist to discuss and develop standards, and internationally-accepted definitions were put in place before legacy measurement programmes became too entrenched in individual countries. This Paper describes the Canadian experience, largely that of Statistics Canada, the national statistical agency, in developing and implementing measures of electronic commerce. Both the international and national contexts within which the Canadian programmes have developed are briefly described prior to setting out some of the e-business basics in terms of definitions and coverage. The Canadian data programmes themselves are described along with highlights of recent data releases. Finally there is a discussion of data gaps or outstanding issues as well as some speculation on future directions and initiatives for the electronic commerce measurement programme in Canada.
{"title":"E-commerce measurements and analysis","authors":"T. Davis","doi":"10.3233/SJU-2003-203-408","DOIUrl":"https://doi.org/10.3233/SJU-2003-203-408","url":null,"abstract":"The use of information and communications technologies and e-commerce in particular has often been cited as a significant factor in generating and sustaining economic growth. With the burst of the dot.com bubble in 2000, this exuberance was deflated and the pendulum swung the other way. Nevertheless, despite the fact that many of the early, exuberant and perhaps self-interested predictions of growth and impact have proven incorrect, there remains little argument that e-commerce is having, and will have, a significant transformative effect on economic and social activities and relationships throughout the world. These impacts present great opportunities, but also great challenges for all countries. An indispensable ingredient in addressing such challenges, and exploiting the opportunities, is reliable, consistent, internationally-comparable data. Initially, many countries were slow to establish e-commerce or even ICT measurement programmes. Others may have been caught up in the enthusiasm and rushed to collect core numbers without considering how they would be used or how they could be compared internationally. In that regard, defining e-commerce has been the source of much debate. The good news though is that international forums did exist to discuss and develop standards, and internationally-accepted definitions were put in place before legacy measurement programmes became too entrenched in individual countries. This Paper describes the Canadian experience, largely that of Statistics Canada, the national statistical agency, in developing and implementing measures of electronic commerce. Both the international and national contexts within which the Canadian programmes have developed are briefly described prior to setting out some of the e-business basics in terms of definitions and coverage. The Canadian data programmes themselves are described along with highlights of recent data releases. Finally there is a discussion of data gaps or outstanding issues as well as some speculation on future directions and initiatives for the electronic commerce measurement programme in Canada.","PeriodicalId":85585,"journal":{"name":"Statistical journal of the United Nations Economic Commission for Europe","volume":"108 1","pages":"289-301"},"PeriodicalIF":0.0,"publicationDate":"2004-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79402845","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 : 2004-08-17DOI: 10.3233/SJU-2003-203-406
Stephen H. Cohen
The U.S. Bureau of Labor Statistics (BLS) is the principle Federal agency charged with disseminating statistics in the broad area of labour economics. In particular BLS publishes the principle Federal economic indicators on unemployment and inflation in the U.S. BLS attempts to provide data providers with as many options as possible for submitting their reports such as over the Internet. The BLS approach to Internet data collection is to provide a singular, manageable, secure architecture for all surveys. This paper will explore the editing strategy used by BLS on the Internet. The paper will summarise the types of edits used in post collection review and the strategy employed to incorporate edits into web-based instruments. Edit experience from two Internet survey instruments will be discussed including implementation strategies, edit failure experience, and comparisons with edit failures of data collected by standard protocols.
{"title":"Editing strategies used by the US Bureau of Labor Statistics in Data Collection over the Internet.","authors":"Stephen H. Cohen","doi":"10.3233/SJU-2003-203-406","DOIUrl":"https://doi.org/10.3233/SJU-2003-203-406","url":null,"abstract":"The U.S. Bureau of Labor Statistics (BLS) is the principle Federal agency charged with disseminating statistics in the broad area of labour economics. In particular BLS publishes the principle Federal economic indicators on unemployment and inflation in the U.S. BLS attempts to provide data providers with as many options as possible for submitting their reports such as over the Internet. The BLS approach to Internet data collection is to provide a singular, manageable, secure architecture for all surveys. This paper will explore the editing strategy used by BLS on the Internet. The paper will summarise the types of edits used in post collection review and the strategy employed to incorporate edits into web-based instruments. Edit experience from two Internet survey instruments will be discussed including implementation strategies, edit failure experience, and comparisons with edit failures of data collected by standard protocols.","PeriodicalId":85585,"journal":{"name":"Statistical journal of the United Nations Economic Commission for Europe","volume":"2674 1","pages":"265-278"},"PeriodicalIF":0.0,"publicationDate":"2004-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89004779","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 : 2004-08-17DOI: 10.3233/SJU-2003-203-407
T. Wannell
National statistical offices (NSOs) have broad mandates to report on economic and social conditions and so potential topics for statistical stories are almost limitless. On the other hand, NSOs operate with a number of internal and external constraints that affect the selection of statistical stories, the manner in which they are told and the medium of communication. This paper outlines the factors that affect the selection and vetting of statistical stories disseminated by NSOs, with particular reference to Statistics Canada. The paper presents a model of the information flowing from NSOs, focusing on products intended for media redistribution and discusses the motivation for reaching large audiences. It then examines the story selection process - proposing a simple model, introducing the players involved and describing the principles and practices of story selection at Statistics Canada. A discussion of the processes for vetting stories and maintaining institutional values follows. The concluding discussion focuses on the applicability of these observations to other statistical offices.
{"title":"The selection and vetting of statistical stories","authors":"T. Wannell","doi":"10.3233/SJU-2003-203-407","DOIUrl":"https://doi.org/10.3233/SJU-2003-203-407","url":null,"abstract":"National statistical offices (NSOs) have broad mandates to report on economic and social conditions and so potential topics for statistical stories are almost limitless. On the other hand, NSOs operate with a number of internal and external constraints that affect the selection of statistical stories, the manner in which they are told and the medium of communication. This paper outlines the factors that affect the selection and vetting of statistical stories disseminated by NSOs, with particular reference to Statistics Canada. The paper presents a model of the information flowing from NSOs, focusing on products intended for media redistribution and discusses the motivation for reaching large audiences. It then examines the story selection process - proposing a simple model, introducing the players involved and describing the principles and practices of story selection at Statistics Canada. A discussion of the processes for vetting stories and maintaining institutional values follows. The concluding discussion focuses on the applicability of these observations to other statistical offices.","PeriodicalId":85585,"journal":{"name":"Statistical journal of the United Nations Economic Commission for Europe","volume":"22 1","pages":"279-288"},"PeriodicalIF":0.0,"publicationDate":"2004-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78126470","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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