Statistical Journal of the IAOS最新文献_第8页

Italian sentiment analysis on climate change: Emerging patterns from 2016 to today 意大利对气候变化的情绪分析：从2016年到今天的新兴模式

Statistical Journal of the IAOS Pub Date : 2023-02-20 DOI: 10.3233/sji-220064

Mauro Bruno, M. Scannapieco, E. Catanese, Luca Valentino

{"title":"Italian sentiment analysis on climate change: Emerging patterns from 2016 to today","authors":"Mauro Bruno, M. Scannapieco, E. Catanese, Luca Valentino","doi":"10.3233/sji-220064","DOIUrl":"https://doi.org/10.3233/sji-220064","url":null,"abstract":"The debate on climate change has increasingly attracted attention, especially among young people, since the foundation of the movement Friday for Future and the raising fame of Greta Thunberg. Social media websites can be used as a data source for mining public opinion on a variety of subjects including climate change. Twitter, in particular, allows for the evaluation of public opinion across time. Although it is a known problem that Twitter population is biased with respect to the whole population, it is also true that Twitter users are more likely to be young people. For this reason, the sentiment analysis of Twitter textual data on climate topics provides valuable insights into the climate discussion and could be considered as representative of the rising climate movement. In this study, a large dataset of Italian tweets between 2016 and 2022 containing a set of keywords related to climate change (e.g. Global warming, sustainable development, etc.) is analysed using volume analysis and text mining techniques such as topic modelling and sentiment analysis. Topic modelling, performed using word embedding, allows validating the keywords’ set and providing the prevalent discussion in Italy about the climate agenda and the major concerns related to climate emergency. Both daily volume and sentiment of tweets series have been analysed. The first series allows assessing the Italian participation to the climate debate, while the latter provides useful insights on the overall evolving mood during these years. In particular, we show that the major Italian concerns are related with global warming with a negative mood while a positive mood is recorded when public policies on environment are implemented.","PeriodicalId":55877,"journal":{"name":"Statistical Journal of the IAOS","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43535870","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

Official statistics: Quo vadis? 官方统计：库瓦迪斯？

Statistical Journal of the IAOS Pub Date : 2023-02-09 DOI: 10.3233/sji-220100

Hans Viggo Sæbø, Marit Hoel

{"title":"Official statistics: Quo vadis?","authors":"Hans Viggo Sæbø, Marit Hoel","doi":"10.3233/sji-220100","DOIUrl":"https://doi.org/10.3233/sji-220100","url":null,"abstract":"The data revolution has resulted in discussions in the statistical community on the future of official statistics. Will official statistics survive as a brand, or will such statistics drown in the flow of data and statistics from new sources and actors, including misused statistics and fake news? The COVID-19 pandemic has been an additional driver for discussion. There is a need to maintain the quality of official statistics and highlight the value of such statistics for the users as a basis for – and supplement to – other statistics and information. It is at the same time important to implement new developments to improve and keep up the relevance of official statistics. Key pillars today are statistical legislation, quality frameworks and core values defining requirements for official statistics. Possibilities are linked to new statistics, use of new data sources and possible extended roles of the statistical institutes within coordination, collaboration, and data stewardship. The paper addresses these issues in the light of trends in official statistics since the UN Fundamental Principles of Official Statistics were formulated about 30 years ago. Quality challenges for statistics and dilemmas in defining the roles of statistical institutes are considered. The paper includes examples from Statistics Norway.","PeriodicalId":55877,"journal":{"name":"Statistical Journal of the IAOS","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49393671","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

Success, failures, challenges, and opportunities for official statistics in the development and implementation of the SDG Indicator framework 官方统计在制定和实施可持续发展目标指标框架方面的成功、失败、挑战和机遇

Statistical Journal of the IAOS Pub Date : 2023-02-09 DOI: 10.3233/sji-230006

引用次数: 0

SJIAOS Discussion Platform SJIAOS讨论平台

Statistical Journal of the IAOS Pub Date : 2023-02-09 DOI: 10.3233/sji-230007

引用次数: 0

Adaptation of Statistics Canada and Eurostat methodologies for variance estimation of changes of the main labour force indicators in Iran 加拿大统计局和欧盟统计局对伊朗主要劳动力指标变化的方差估计方法的调整

Statistical Journal of the IAOS Pub Date : 2023-01-19 DOI: 10.3233/sji-220095

Lida Kalhori Nadrabadi, F. Mehran, Mohammed Reza Reyhani, Roshanak Aliakbari Saba

{"title":"Adaptation of Statistics Canada and Eurostat methodologies for variance estimation of changes of the main labour force indicators in Iran","authors":"Lida Kalhori Nadrabadi, F. Mehran, Mohammed Reza Reyhani, Roshanak Aliakbari Saba","doi":"10.3233/sji-220095","DOIUrl":"https://doi.org/10.3233/sji-220095","url":null,"abstract":"The changing values of the indicators obtained from national labour force surveys provide analysts and planners with valuable information on the fluctuations of the labour market of the country. Labour force surveys in many countries follow the standards established by the International Labour Organization, and, as a result, tend to be similar in various respects. Given these similarities, the procedures used by the statistical organizations of Canada and the European Union are examined in this paper for the development of variance estimates of changes of the labour force indicators in Iran. While the survey in Iran and those in the countries under study have many similarities, they also differ in certain respects, namely, in terms of the periodicity of the survey, the rotation pattern as well as the unit of rotation, and the possible existence of non-response among the primary sampling units. Here, first, the methodologies of Statistics Canada and Eurostat are modified and adapted to the particularities of the labour force survey in Iran. Then, the results are compared. Among the four methods examined, the bootstrap methodology of Statistics Canada, after some modifications and adaptations, is found to be especially suitable for application in the labour force survey of Iran and, perhaps, in other counties with similar conditions. The proposed methodology can, particularly well, take into account the impact of the various steps of weight calculations on the variance estimates of change of the main labour force indicators.","PeriodicalId":55877,"journal":{"name":"Statistical Journal of the IAOS","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43031720","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

Web scraped data in consumer price indices Web从消费者价格指数中抓取数据

Statistical Journal of the IAOS Pub Date : 2023-01-14 DOI: 10.3233/sji-220115

Peter Knížat

引用次数: 0

Rebuilding of the National Statistical System of Argentina. Some lessons learned1 重建阿根廷国家统计系统。一些经验教训1

Statistical Journal of the IAOS Pub Date : 2023-01-09 DOI: 10.3233/sji-220117

Hernán D. Muñoz, Julien Dupont

引用次数: 0

Estimating a time series of temporary employment using a combination of survey and register data 结合调查和登记数据估算临时就业的时间序列

Statistical Journal of the IAOS Pub Date : 2023-01-05 DOI: 10.3233/sji-210886

N. Mushkudiani, J. Pannekoek

{"title":"Estimating a time series of temporary employment using a combination of survey and register data","authors":"N. Mushkudiani, J. Pannekoek","doi":"10.3233/sji-210886","DOIUrl":"https://doi.org/10.3233/sji-210886","url":null,"abstract":"In this paper we investigate the application of macro-integration methods to combine two sources of labor force statistics: a survey and an administrative source. In particular, we aim to arrive at a single estimate of the time series of temporary employment that efficiently combines the information from both sources. By varying the specifications of the objective function and constraints, four different macro-integration models were defined. The most plausible results were of a model that treats neither of the sources as fixed and uses multiplicative adjustments. The results were compared with the previous research where a latent Markov model was used to estimate the same time series. This Markov model approach does not lead to very different estimates of the time-series of temporary (or permanent) employment contracts but results in smaller estimates of the proportion of “movers”, persons that change contract status from temporary to permanent or the other way around. The model-based approach also provides estimates of the measurement errors in each of the sources. On the other hand, the macro-integration approach is less restrictive in the sense that it does not impose a Markov property of the integrated times series of proportions and it is more easy to implement.","PeriodicalId":55877,"journal":{"name":"Statistical Journal of the IAOS","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47635555","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

Environment statistics and material flow accounts development in Lao PDR: A case study on multiple data sources integration for a new statistical domain in a lower middle-income country national statistical system 老挝人民民主共和国的环境统计和物资流动账户发展:中低收入国家国家统计系统中新统计领域的多数据源整合案例研究

Statistical Journal of the IAOS Pub Date : 2023-01-05 DOI: 10.3233/sji-220066

Salika Chanthalavong, Perig Leost

{"title":"Environment statistics and material flow accounts development in Lao PDR: A case study on multiple data sources integration for a new statistical domain in a lower middle-income country national statistical system","authors":"Salika Chanthalavong, Perig Leost","doi":"10.3233/sji-220066","DOIUrl":"https://doi.org/10.3233/sji-220066","url":null,"abstract":"The Lao Statistics Bureau has launched the development of Statistical Information System on the Environment. With its integrated systems approach, incorporating multiple data sources within a unified analytical framework enabling an understanding of tradeoffs and synergies to monitor sustainable development and formulate integrated, evidence-based policies, the System of Environmental-Economic Accounting (SEEA) plays a central role in Lao PDR strategy for the development of environment statistics, as well as for the mainstreaming of their use in policy processes. However routinely producing environmental-economic accounts at the national level by the national statistical office requires addressing the technical and institutional barriers to the integration of these different data sources. In the context of the national statistical systems of a lower middle income country, the case of the development of Material Flow Accounts by the Lao Statistics Bureau with support from the Lao Luxembourg Cooperation Project in Statistics is illustrative of the challenges faced to integrate data from multiple sources into one single database (the number and diversity of stakeholders and domains and the consequent dispersion of data, the difficulty of access, the often poor quality of the data (linked notably to the relative novelty of the statistics involved) etc.) and provides feedback on the solutions applied to overcome the challenges.","PeriodicalId":55877,"journal":{"name":"Statistical Journal of the IAOS","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48697320","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

Enumeration area imputation methods for producing sub-municipal data in the Italian permanent population and housing census 意大利常住人口和住房普查中产生次市级数据的枚举面积估算方法

Statistical Journal of the IAOS Pub Date : 2023-01-05 DOI: 10.3233/sji-220113

Giancarlo Carbonetti, Giampaolo De Matteis, Marco Di Zio, Fardelli Davide, Ferrara Raffaele, Lipizzi Fabio

{"title":"Enumeration area imputation methods for producing sub-municipal data in the Italian permanent population and housing census","authors":"Giancarlo Carbonetti, Giampaolo De Matteis, Marco Di Zio, Fardelli Davide, Ferrara Raffaele, Lipizzi Fabio","doi":"10.3233/sji-220113","DOIUrl":"https://doi.org/10.3233/sji-220113","url":null,"abstract":"Over the years, official statistics have shown an increasing territorial focus on providing detailed and quality information. The Population and Housing Census has always ensured the availability of sub-municipal data useful for social, economic, and environmental decision-making processes. The new Italian Permanent Census focuses heavily on the integration of administrative and sample data and plans to provide more stable and consistent statistical data at the various territorial levels every year. Within this framework, sub-municipal data are derived from the integration of the Base Register of Individuals and the Base Register of Places. Data accuracy depends on the quality of the registers and the procedures adopted to integrate and process the input data. In this regard, Istat is working to improve geocoding information and linking procedures. One of the problems encountered is the presence of non-geocoded units due to problems in the administrative data. Istat has studied a procedure that integrates deterministic and probabilistic approaches to assign the enumeration area code to these critical units. It was conducted an experimental study to assess the quality of the imputation procedure. In this paper, we discuss the approach adopted, the evaluation process, the results obtained, and the impact on data quality.","PeriodicalId":55877,"journal":{"name":"Statistical Journal of the IAOS","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49349967","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