Statistical Journal of the IAOS最新文献_第9页

Identifying and evaluating COVID-19 effects on short-term statistics 识别和评估新冠肺炎对短期统计的影响

Statistical Journal of the IAOS Pub Date : 2022-12-29 DOI: 10.3233/sji-210903

Arnout van Delden, Martijn de Winter, Koert van Bemmel

{"title":"Identifying and evaluating COVID-19 effects on short-term statistics","authors":"Arnout van Delden, Martijn de Winter, Koert van Bemmel","doi":"10.3233/sji-210903","DOIUrl":"https://doi.org/10.3233/sji-210903","url":null,"abstract":"The economic downturn due to lockdown measures at the beginning of the COVID-19 crisis raised the question whether any adaptations to the short-term statistics (STS) were needed to ensure accurate and relevant output. We limit ourselves to STS on turnover and related variables like volume of production. We looked into the different stages of the production process – from data collection to output – and anticipated a number of potential lockdown effects. With respect to output relevance, there was an increased interest in faster and specific output. With respect to the output accuracy, we took measures to check whether the anticipated effects really occurred and measures to mitigate the consequences. Examples of such measures are the calculation of an additional editing score function, alternative imputations and extensions of the regular analysis step. In this paper we give an overview of the anticipated effects, the subsequent measures that we took, we evaluate to what extent the anticipated effects occurred in practice and we mention some unforeseen effects. We end this paper by discussing to what extent the developed measures are also useful to keep after the economy has recovered.","PeriodicalId":55877,"journal":{"name":"Statistical Journal of the IAOS","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46749895","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}

引用次数: 0

Transitioning an employee panel survey from telephone to online and mixed-mode data collection 将员工小组调查从电话转移到在线和混合模式数据收集

Statistical Journal of the IAOS Pub Date : 2022-12-26 DOI: 10.3233/sji-220088

J. Mackeben, J. Sakshaug

{"title":"Transitioning an employee panel survey from telephone to online and mixed-mode data collection","authors":"J. Mackeben, J. Sakshaug","doi":"10.3233/sji-220088","DOIUrl":"https://doi.org/10.3233/sji-220088","url":null,"abstract":"Employee panel surveys, which are essential for measuring ongoing labor market developments, are facing significant challenges of respondent recruitment and retention. Even interviewer-administered panel surveys, historically considered the gold standard form of data collection, are facing high costs and nonresponse issues that threaten their sustainability and inferential capabilities. Supplementing interviewer-administration with online data collection is a popular method of reducing costs and may improve contactability and reduce nonresponse in employee surveys. However, the effects of introducing online data collection in an ongoing panel survey of the employed population have received little attention. We address this research gap by analyzing a mode design experiment embedded in the fourth wave of a German employee panel survey. Individuals were randomly assigned to the standard telephone-only design, or a sequential web-telephone mixed-mode design. An invitation letter experiment was also conducted to test the effect of mentioning the telephone follow-ups in the web survey invitation. Introducing the mixed-mode design led to a higher response rate (59.9% vs. 50.1%), similar levels of nonresponse bias, and lower costs compared to the single-mode design. Mentioning the telephone follow-ups had no effect on participation in the web starting mode or the full mixed-mode design. Implications of these findings for survey practice are discussed.","PeriodicalId":55877,"journal":{"name":"Statistical Journal of the IAOS","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48994491","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}

引用次数: 0

Overview of the use of big data for official statistics in Latin America and the Caribbean 拉丁美洲和加勒比利用大数据进行官方统计概览

Statistical Journal of the IAOS Pub Date : 2022-12-26 DOI: 10.3233/sji-220092

Andrea Diniz da Silva, Beatriz Menezes Marques de Oliveira, Ísis Gonçalves Peixoto, Lidiane Braga Sales de Souza

{"title":"Overview of the use of big data for official statistics in Latin America and the Caribbean","authors":"Andrea Diniz da Silva, Beatriz Menezes Marques de Oliveira, Ísis Gonçalves Peixoto, Lidiane Braga Sales de Souza","doi":"10.3233/sji-220092","DOIUrl":"https://doi.org/10.3233/sji-220092","url":null,"abstract":"In 2020 and 2021, the challenges related to the decline in the financing of statistical production and the cooperation of respondents was exacerbated by the COVID-19 pandemic. This scenario led national statistical offices (NSOs) to accelerate consideration of alternative data sources to complement or even replace traditional survey data. In this context, the use of big data to produce statistics has become promising. The use of big data for statistics is already in practice in many parts of the Global North and has also been spreading rapidly in the South. Part of the success of this trend is due to the support of the United Nations Committee of Experts on Big Data and Data Science for Official Statistics (UNCEBD), in particular its four Regional Hubs for Big Data. To learn the extent of the use of big data for official statistics in Latin America and the Caribbean, the United Nations Regional Hub for Big Data in Brazil conducted a study of the practices of NSOs in the region. A very promising scenario was found regarding the use of big data from satellite imagery, web scraping and other big data sources, for applications such as the production of price statistics, land use and cover patterns and migration.","PeriodicalId":55877,"journal":{"name":"Statistical Journal of the IAOS","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43606355","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}

引用次数: 0

Synthetic Minority Over-sampling Technique (SMOTE) for handling imbalanced data in poverty classification 用于处理贫困分类中不平衡数据的合成少数民族过采样技术（SMOTE）

Statistical Journal of the IAOS Pub Date : 2022-12-25 DOI: 10.3233/sji-220080

Firza Refo Adi Pratama, S. I. Oktora

{"title":"Synthetic Minority Over-sampling Technique (SMOTE) for handling imbalanced data in poverty classification","authors":"Firza Refo Adi Pratama, S. I. Oktora","doi":"10.3233/sji-220080","DOIUrl":"https://doi.org/10.3233/sji-220080","url":null,"abstract":"Poverty data in official statistics data is important for development planning. The lower percentage of the poor recorded yearly indicates good development of a country. Moreover, there is always a problem when performing an inferential and classification analysis because of the imbalanced data, thereby leading to biases in the estimation results and prediction errors in the classification. One of the solutions to this problem is using Synthetic Minority Over-sampling Technique (SMOTE). Therefore, this study aims to evaluate the inference and classification quality using the binary logistic regression model without and with SMOTE. The data utilized was the poverty status of households in the rural and urban areas in East Java, Indonesia as contained in the 2019 National Socio-Economic Survey. Furthermore, the variables used are poverty status of the household, the age of the household head (HH), the ratio of household members who are employed, gender of the HH, number of household members, education level of HH, and occupation of the HH. It was concluded that the model with SMOTE approach was better at inference and classifying the results.","PeriodicalId":55877,"journal":{"name":"Statistical Journal of the IAOS","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42102700","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}

引用次数: 0

Approaches for combining data from multiple probability samples 组合来自多个概率样本的数据的方法

Statistical Journal of the IAOS Pub Date : 2022-12-24 DOI: 10.3233/sji-220063

L. Dzikiti, M. D. Vieira, B. Girdler-Brown

{"title":"Approaches for combining data from multiple probability samples","authors":"L. Dzikiti, M. D. Vieira, B. Girdler-Brown","doi":"10.3233/sji-220063","DOIUrl":"https://doi.org/10.3233/sji-220063","url":null,"abstract":"Even though there is substantial literature on studies that pool survey data, it is still not clear which are the most efficient methodologies and sampling designs for combining data from different surveys. For example, it is important to know whether the estimates from the different surveys involved should be given equal weights in the calculation of the combined statistics or not. If they are not given equal importance, then it should be clear how they should be weighted and why. In this paper, current and proposed methods considered to combine survey data are evaluated through simulation, in the context of simple random sampling, stratified random sampling and two stage cluster random sampling from finite populations generated from a normal distribution super-population model. Simulation results suggest superpopulation variance does not influence the choice of weighting method. However, the population size appears to influence this choice. Combining samples improved the precision of estimates regardless of weighting method used for data collected under all considered sampling techniques, with stratified sampling being more precise than simple random sampling and two stage random cluster sampling.","PeriodicalId":55877,"journal":{"name":"Statistical Journal of the IAOS","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48860703","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}

引用次数: 0

Trusted Smart Statistics and the need for new ethical principles 可信的智能统计和对新道德原则的需求

Statistical Journal of the IAOS Pub Date : 2022-12-15 DOI: 10.3233/sji-220114

Yolanda Gómez, A. Cánovas, Ana Carmen Saura

{"title":"Trusted Smart Statistics and the need for new ethical principles","authors":"Yolanda Gómez, A. Cánovas, Ana Carmen Saura","doi":"10.3233/sji-220114","DOIUrl":"https://doi.org/10.3233/sji-220114","url":null,"abstract":"The changing environment in a datafied society pushes the statistical world into a long-distance race where the final line is never reached because the path is continuously moving along the way. Many countries all over the world are searching for new approaches, new tools, skills and new possible roles for the National Statistical Institutes (NSIs). Horizontal issues are essential to address properly these changes. The first one is the access to Big Data (including Internet of Things – IoT) and the legislative framework and ethical principles related to such access. The second one is to communicate these principles to the citizens and to inform about the statistical treatment of the data from these new sources. The pandemic situation has increased even more the use of these data and opened questions on their uses. Some members of the European Statistical System (ESS) have already elaborated different ethical codes and even ethical assessment tools, which could be overlapped or/and complement the European Statistics Code of practice (ESCP). In parallel, under different projects and groups in the ESS and in the European Commission (related with the EU Data Strategy) some principles have been proposed along with recommendations, some fall under ethical behaviour. The European Statistics Code of Practice has just been updated in 2017, however, this changing environment is demanding new rules and principles that could be incorporated in the Code or even in an amended Regulation 223/2009 on European Statistics. In this paper we analyse the existing ethical principles for Big Data uses (in a broad sense) and under different scenarios and compare them with the current statistical principle. We will try to go even further and think into the future about what kind of principles we would need if we add new roles to the NSIs.","PeriodicalId":55877,"journal":{"name":"Statistical Journal of the IAOS","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41381598","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}

引用次数: 0

Trust in official statistics across Europe: Evidence from two waves of Eurobarometer using multilevel models 对欧洲官方统计数据的信任：使用多级模型的两波欧洲晴雨表的证据

Statistical Journal of the IAOS Pub Date : 2022-12-12 DOI: 10.3233/sji-220070

S. Allegrezza, Wolfgang Langer, Majlinda Joxhe

引用次数: 0

The French National Council for Statistical Information: Lessons from a formal dialogue between producers and users on sustainable development 法国全国统计资料委员会:生产者和使用者之间关于可持续发展的正式对话的教训

Statistical Journal of the IAOS Pub Date : 2022-12-05 DOI: 10.3233/sji-220077

Isabelle Anxionnaz, C. d'Alessandro, Arnaud Montus, Stéphane Tagnani

引用次数: 0

Tourism GDP for 2010 to 2020: New TSA results for Greece 2010年至2020年旅游GDP:希腊新的TSA结果

Statistical Journal of the IAOS Pub Date : 2022-12-05 DOI: 10.3233/sji-220081

P. Hackl, Stavros Hatzimarinakis

{"title":"Tourism GDP for 2010 to 2020: New TSA results for Greece","authors":"P. Hackl, Stavros Hatzimarinakis","doi":"10.3233/sji-220081","DOIUrl":"https://doi.org/10.3233/sji-220081","url":null,"abstract":"In many countries, early attempts in implementing TSA Tables suffer from limitations in available data. For Greece, pilot TSA Tables 1 to 6 were implemented in an EU-funded project for the reference year 2015. However, TSA Table 6 could not be implemented in all details, mainly due to limited resources of ELSTAT, the national statistical office. TSA Tables were not implemented for the years after 2015, partly due to needs for improving the TSA-related database which were revealed in the pilot project. Our paper presents methods for implementing the TSA Table 6 given only limited data on tourism expenditures and Supply and Use Tables and provides estimates of the Tourism Direct GPD for 2010 through 2020. Besides the methodological approach, our results show a rather pleasing picture of Greek tourism. In the years 2010 to 2019, Tourism Direct GDP was steadily growing and increased from 7,026 to 10,994 million Euros, an average annual growth rate of 5.1%; the GDP decreased annually by 2.2% on average. The TDGVA ratio increased from 3.1% to 5.5% and the TDGDP ratio from 3.1% to 6.0%, the average annual growth rate of the Tourism Direct GVA and GPD ratios amounting to 6.7% and 7.5%, respectively.","PeriodicalId":55877,"journal":{"name":"Statistical Journal of the IAOS","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44586664","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}

引用次数: 0

Editorial: How can Official Statistics find a way out of the fog? 社论:官方统计如何走出迷雾?

Statistical Journal of the IAOS Pub Date : 2022-11-10 DOI: 10.3233/sji-220107

引用次数: 0