Nour Barnat, S. MacFeely, F. Cantú, A. Peltola, Anastasia Khazhgerieva, A. Panteleev, Nikolay T. Ryabtsev
In recent years there has been much debate about the need to supplement existing economic indicators, most notably gross domestic product (GDP), with a more rounded and balanced set of indicators that better reflect the complexity of today’s economic, societal and environmental needs. To address this need, the United Nations Conference for Trade and Development (UNCTAD) in cooperation with the Eurasian Economic Commission (EEC) developed a first prototype composite index measuring inclusive growth tailored to that region. This paper summarises the conceptual objectives and some of key methodological challenges and considerations faced in compiling such an index. Many of the challenges and methodological considerations are universal and not specific to EEC. A brief outline of results and future work is also detailed.
{"title":"Compiling an inclusive growth index: Methodological challenges, considerations and conclusions","authors":"Nour Barnat, S. MacFeely, F. Cantú, A. Peltola, Anastasia Khazhgerieva, A. Panteleev, Nikolay T. Ryabtsev","doi":"10.3233/sji-230025","DOIUrl":"https://doi.org/10.3233/sji-230025","url":null,"abstract":"In recent years there has been much debate about the need to supplement existing economic indicators, most notably gross domestic product (GDP), with a more rounded and balanced set of indicators that better reflect the complexity of today’s economic, societal and environmental needs. To address this need, the United Nations Conference for Trade and Development (UNCTAD) in cooperation with the Eurasian Economic Commission (EEC) developed a first prototype composite index measuring inclusive growth tailored to that region. This paper summarises the conceptual objectives and some of key methodological challenges and considerations faced in compiling such an index. Many of the challenges and methodological considerations are universal and not specific to EEC. A brief outline of results and future work is also detailed.","PeriodicalId":55877,"journal":{"name":"Statistical Journal of the IAOS","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43738092","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}
T. Calvo, J. Cling, M. Razafindrakoto, F. Roubaud, A. Sougané
International organisations recently brought good governance and peace in the forefront of the development agenda. The measurement of related indicators, which differ by their nature, their sources and the institutions in charge of their collection, with National Statistics Institutes in the frontline, as well as their analyses keep growing. This paper introduces the special issue of nine articles on the measurement and analyses of Governance, Peace and Security statistics in four continents. It presents initiatives for some led by the only UN city group on statistical methodologies based in Africa, the Praia Group. Members of the latter group describe the advances and challenges such data collection implies particularly in time of pandemics. Following articles focus on the state of the art of statistics about transparency in Brazil, criminal violence in France and conflict more broadly. A set of articles in four African countries interrogate the relationship between perceptions and experiences and analyse their determinants. The issue ends with the works of international leaders in governance data collection, Mali and Peru. This special issue shows how statistical data on governance make a twofold contribution to achieving the principles of SDG 16 by providing reliable indicators and voicing public opinion to governments.
{"title":"General introduction to the special issue: Governance Statistics and the UN Praia City Group","authors":"T. Calvo, J. Cling, M. Razafindrakoto, F. Roubaud, A. Sougané","doi":"10.3233/sji-230023","DOIUrl":"https://doi.org/10.3233/sji-230023","url":null,"abstract":"International organisations recently brought good governance and peace in the forefront of the development agenda. The measurement of related indicators, which differ by their nature, their sources and the institutions in charge of their collection, with National Statistics Institutes in the frontline, as well as their analyses keep growing. This paper introduces the special issue of nine articles on the measurement and analyses of Governance, Peace and Security statistics in four continents. It presents initiatives for some led by the only UN city group on statistical methodologies based in Africa, the Praia Group. Members of the latter group describe the advances and challenges such data collection implies particularly in time of pandemics. Following articles focus on the state of the art of statistics about transparency in Brazil, criminal violence in France and conflict more broadly. A set of articles in four African countries interrogate the relationship between perceptions and experiences and analyse their determinants. The issue ends with the works of international leaders in governance data collection, Mali and Peru. This special issue shows how statistical data on governance make a twofold contribution to achieving the principles of SDG 16 by providing reliable indicators and voicing public opinion to governments.","PeriodicalId":55877,"journal":{"name":"Statistical Journal of the IAOS","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42563597","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}
In 2022, the “Vécu et ressenti en matière de sécurité” (Experiences and feelings about safety) victimisation survey (107,000 respondents during phase 1, almost 80% of which responded online) designed by the Ministerial Statistical Department for Internal Security (SSMSI) took the place of the “Cadre de vie et sécurité” (Living environment and security) survey, which was conducted annually by INSEE between 2007 and 2021. This new mixed-mode survey, conducted among a large sample of the general population, is the result of a major overhaul that has been under way at the SSMSI since 2019 and which has involved INSEE and all of the national stakeholders with an interest in security. In order for this project to succeed, a thorough review was needed of the existing situation, together with the development and evaluation of an innovative and ambitious protocol in the context of the development of a fast-growing mixed-mode survey and the hosting and management of a consultation within a multidisciplinary committee. The objective of this article is to present, in five acts, the main lines of the project that led to the design of the new survey. This first edition thus marks the beginning of a long-term process that will require future methodological developments which will help to consolidate the knowledge and practices acquired through the switch to a mixed-mode approach for surveys conducted among the general population.
2022年，由国内安全部统计司（SSMSI）设计的“Vécu et ressenti en matière de sécurité”（对安全的体验和感受）受害调查（第一阶段有10.7万名受访者，其中近80%在线回复）取代了“生活和安全干部”（生活环境和安全）调查，欧洲工商管理学院在2007年至2021年间每年进行一次。这项新的混合模式调查是在大量普通人群中进行的，是自2019年以来SSMSI正在进行的一项重大改革的结果，该改革涉及INSEE和所有对安全感兴趣的国家利益相关者。为了使该项目取得成功，需要对现有情况进行彻底审查，同时在发展快速增长的混合模式调查以及在多学科委员会内主持和管理协商的背景下，制定和评估一项创新和雄心勃勃的议定书。本文的目的是分五幕介绍导致新调查设计的项目主线。因此，第一版标志着一个长期过程的开始，这一过程将需要未来的方法发展，这将有助于巩固通过在普通人群中进行调查的混合模式方法获得的知识和做法。
{"title":"An annual mixed-mode survey to measure victimisation in France from 2022: The chronicle of an overhaul in 5 acts","authors":"Hélène Guedj, Tiaray Razafindranovona, Sandra Zilloniz","doi":"10.3233/sji-230018","DOIUrl":"https://doi.org/10.3233/sji-230018","url":null,"abstract":"In 2022, the “Vécu et ressenti en matière de sécurité” (Experiences and feelings about safety) victimisation survey (107,000 respondents during phase 1, almost 80% of which responded online) designed by the Ministerial Statistical Department for Internal Security (SSMSI) took the place of the “Cadre de vie et sécurité” (Living environment and security) survey, which was conducted annually by INSEE between 2007 and 2021. This new mixed-mode survey, conducted among a large sample of the general population, is the result of a major overhaul that has been under way at the SSMSI since 2019 and which has involved INSEE and all of the national stakeholders with an interest in security. In order for this project to succeed, a thorough review was needed of the existing situation, together with the development and evaluation of an innovative and ambitious protocol in the context of the development of a fast-growing mixed-mode survey and the hosting and management of a consultation within a multidisciplinary committee. The objective of this article is to present, in five acts, the main lines of the project that led to the design of the new survey. This first edition thus marks the beginning of a long-term process that will require future methodological developments which will help to consolidate the knowledge and practices acquired through the switch to a mixed-mode approach for surveys conducted among the general population.","PeriodicalId":55877,"journal":{"name":"Statistical Journal of the IAOS","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41537075","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 article analyses discrimination in Cameroon based on data from the Governance, Peace and Security (GPS) module of the Strategy for Harmonization of Statistics in Africa (SHaSA). The data from this module were collected during the fourth Cameroon Household Survey (ECAM4), the main aim of which was to determine the profile of income poverty in Cameroon in 2014. The analysis highlights the forms of discrimination observed in Cameroon in 2014, the characteristics of people who are victims of discrimination and the determining factors of discrimination. Measuring discrimination using subjective and objective approaches shows a very high level both generally and in relation to law enforcement agencies. Discrimination relating to economic status (poverty or wealth) is the most widespread form. Certain forms of discrimination experienced are based on human capital, regional particularities and specific individual characteristics. This article suggests pathways to better target actions to fight against discrimination in all its forms, and thereby “to promote and enforce non-discriminatory laws and policies for sustainable development”, Target 16.b of the Sustainable Development Goals (SDGs).
{"title":"Overview of discrimination in Cameroon in 2014: Between perception and experience, predominance of the phenomenon","authors":"G. F. Ndeffo, Niekou, J. Tedou","doi":"10.3233/sji-230011","DOIUrl":"https://doi.org/10.3233/sji-230011","url":null,"abstract":"This article analyses discrimination in Cameroon based on data from the Governance, Peace and Security (GPS) module of the Strategy for Harmonization of Statistics in Africa (SHaSA). The data from this module were collected during the fourth Cameroon Household Survey (ECAM4), the main aim of which was to determine the profile of income poverty in Cameroon in 2014. The analysis highlights the forms of discrimination observed in Cameroon in 2014, the characteristics of people who are victims of discrimination and the determining factors of discrimination. Measuring discrimination using subjective and objective approaches shows a very high level both generally and in relation to law enforcement agencies. Discrimination relating to economic status (poverty or wealth) is the most widespread form. Certain forms of discrimination experienced are based on human capital, regional particularities and specific individual characteristics. This article suggests pathways to better target actions to fight against discrimination in all its forms, and thereby “to promote and enforce non-discriminatory laws and policies for sustainable development”, Target 16.b of the Sustainable Development Goals (SDGs).","PeriodicalId":55877,"journal":{"name":"Statistical Journal of the IAOS","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44412929","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}
Mario Alberto Santillana, J. A. Gallegos, Alma Itzel García, Elizabeth Díaz, Daniel Gutiérrez, Nancy Leticia González
In this paper, the percentage of the population aged 18 years and over with perception of insecurity during March and April 2021 is estimated for each municipality in Mexico using small area estimation techniques. Two methods are considered: the Empirical Best Linear Unbiased Predictor (EBLUP) and the Spatial Empirical Best Linear Unbiased Predictor (SEBLUP), both based on the Fay-Herriot area-level model. The National Survey of Victimization and Perception of Public Safety 2021 (ENVIPE 2021, for its acronym in Spanish) is the base survey from which the variable object of estimation is obtained; the auxiliary variables that allow to establish the considered models are obtained from other information sources, such as the population and housing census and administrative records. The results are adjusted to satisfy the benchmarking property and are contrasted with direct estimates given by the same survey, ENVIPE 2021, to compare their reliability level.
{"title":"Perception of insecurity in municipalities in Mexico: A small area estimation approach","authors":"Mario Alberto Santillana, J. A. Gallegos, Alma Itzel García, Elizabeth Díaz, Daniel Gutiérrez, Nancy Leticia González","doi":"10.3233/sji-220101","DOIUrl":"https://doi.org/10.3233/sji-220101","url":null,"abstract":"In this paper, the percentage of the population aged 18 years and over with perception of insecurity during March and April 2021 is estimated for each municipality in Mexico using small area estimation techniques. Two methods are considered: the Empirical Best Linear Unbiased Predictor (EBLUP) and the Spatial Empirical Best Linear Unbiased Predictor (SEBLUP), both based on the Fay-Herriot area-level model. The National Survey of Victimization and Perception of Public Safety 2021 (ENVIPE 2021, for its acronym in Spanish) is the base survey from which the variable object of estimation is obtained; the auxiliary variables that allow to establish the considered models are obtained from other information sources, such as the population and housing census and administrative records. The results are adjusted to satisfy the benchmarking property and are contrasted with direct estimates given by the same survey, ENVIPE 2021, to compare their reliability level.","PeriodicalId":55877,"journal":{"name":"Statistical Journal of the IAOS","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42178441","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}
The text explores the production of statistics on public sector governance in Brazil both by the official statistical office (IBGE) and other producers, most of them control agencies. The article gives details about the main data sources. Some challenges and perspectives related to regular and comprehensive production are explored. There is also an example of analysis with data on transparency in municipal government collected using different methodologies. This exercise shows some issues faced when one tries to put together different data sources.
{"title":"Public sector governance statistics in Brazil: Challenges and perspectives, and focus on transparency","authors":"Leonardo Athias, Luanda Botelho","doi":"10.3233/sji-230010","DOIUrl":"https://doi.org/10.3233/sji-230010","url":null,"abstract":"The text explores the production of statistics on public sector governance in Brazil both by the official statistical office (IBGE) and other producers, most of them control agencies. The article gives details about the main data sources. Some challenges and perspectives related to regular and comprehensive production are explored. There is also an example of analysis with data on transparency in municipal government collected using different methodologies. This exercise shows some issues faced when one tries to put together different data sources.","PeriodicalId":55877,"journal":{"name":"Statistical Journal of the IAOS","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44353650","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}
George Sciadas, a former director from Statistics Canada recently published the book ‘Number Savvy’, with the subtitle ‘From the Invention of Numbers to the Future of Data’. Though in recent years several books on data were published, this book is striking from several perspectives. It has been written by an insider, an experienced employee from a national statistical office, though in a style that allows a wide range of readers to understand and enjoy the material. Another reason for putting the spotlight on this book is its explicit structure, highlighting crucial elements of the production of statistics as well as its use, which makes it a tremendously useful book for those involved in training in statistical literacy. With this specific focus in mind, Walter Radermacher was found willing to interview the author George Sciadas.
{"title":"Interview with George Sciadas, about his book ‘Number Savvy: From the Invention of Numbers to the Future of Data’1","authors":"","doi":"10.3233/sji-230019","DOIUrl":"https://doi.org/10.3233/sji-230019","url":null,"abstract":"George Sciadas, a former director from Statistics Canada recently published the book ‘Number Savvy’, with the subtitle ‘From the Invention of Numbers to the Future of Data’. Though in recent years several books on data were published, this book is striking from several perspectives. It has been written by an insider, an experienced employee from a national statistical office, though in a style that allows a wide range of readers to understand and enjoy the material. Another reason for putting the spotlight on this book is its explicit structure, highlighting crucial elements of the production of statistics as well as its use, which makes it a tremendously useful book for those involved in training in statistical literacy. With this specific focus in mind, Walter Radermacher was found willing to interview the author George Sciadas.","PeriodicalId":55877,"journal":{"name":"Statistical Journal of the IAOS","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48303784","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}
Joao de Pina Mendes Cardoso, F. Roubaud, Arvinn Gadgil, Marie Laberge
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{"title":"Now is the time to close gaps in governance statistics: And the Praia Group is ready for the challenge","authors":"Joao de Pina Mendes Cardoso, F. Roubaud, Arvinn Gadgil, Marie Laberge","doi":"10.3233/sji-230017","DOIUrl":"https://doi.org/10.3233/sji-230017","url":null,"abstract":"<jats:p>??</jats:p>","PeriodicalId":55877,"journal":{"name":"Statistical Journal of the IAOS","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41609708","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}
False information – whether mistakenly or intentionally distributed – threatens societies around the world, with dire consequences. When official statistics are misused or misrepresented, trust in this public good and the institutions that produce them are undermined. Two groups, fact checkers and statistical regulators, share common goals in combating this problem. Bolstering their work is a new offering of AI tools which help monitor vast volumes of media, identify important statements in public debate and inform users when statements they know to be wrong are repeated again. This article will cover the problem posed by false information, the common goals of fact checkers and statistical regulators, the development of AI tools and their impact.
{"title":"AI tools: A powerful new weapon to combat the misuse of statistics","authors":"Kate Wilkinson, Emily Barrington","doi":"10.3233/sji-230020","DOIUrl":"https://doi.org/10.3233/sji-230020","url":null,"abstract":"False information – whether mistakenly or intentionally distributed – threatens societies around the world, with dire consequences. When official statistics are misused or misrepresented, trust in this public good and the institutions that produce them are undermined. Two groups, fact checkers and statistical regulators, share common goals in combating this problem. Bolstering their work is a new offering of AI tools which help monitor vast volumes of media, identify important statements in public debate and inform users when statements they know to be wrong are repeated again. This article will cover the problem posed by false information, the common goals of fact checkers and statistical regulators, the development of AI tools and their impact.","PeriodicalId":55877,"journal":{"name":"Statistical Journal of the IAOS","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46017125","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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