Bagaskoro Cahyo Laksonoa, I. Wulansari, N. Permatasari
{"title":"Small area estimation of household expenditure on insurance programs for minimizing the impact of natural disasters in West Java, Indonesia","authors":"Bagaskoro Cahyo Laksonoa, I. Wulansari, N. Permatasari","doi":"10.3233/sji-230040","DOIUrl":"https://doi.org/10.3233/sji-230040","url":null,"abstract":"West Java is one of Indonesia’s Provinces with a high disaster risk index. The Province has experienced earthquakes, volcanic eruptions, tidal waves, droughts, landslides, floods and tsunamis. In the event of a disaster, the government’s budget allocation is used for handling losses due to disasters. Seeing these conditions, it is necessary to carry out disaster risk management efforts to reduce losses by using natural disaster insurance by households. Publication of household insurance expenditures is essential to see the community’s ability to pay insurance for handling losses due to disasters. This study aims to estimate the average household expenditure on insurance and the average total household expenditure by district/city in the West Java Province. The analytical method used is the Small Area Estimation using the Fay-Herriot model with logarithmic transformation. The data source is the National Socio-Economic Survey (SUSENAS) for March 2019. The results show the proportion of insurance expenditure to total household expenditure (ability to pay) was relatively low, ranging from 0.93%–2%. This result is still far from the ability to pay insurance in developing countries, which is 5%. This finding can be used to see the power of households to pay for insurance (ability to pay). The government can take policies related to this to minimize losses due to natural disasters in the West Java Province.","PeriodicalId":55877,"journal":{"name":"Statistical Journal of the IAOS","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42479505","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}
Abbas Moradi, Mina Mansouri, A. Faramarzi, K. Kiani
{"title":"Investigating the effect of inflation on the consumption pattern of Iranian households","authors":"Abbas Moradi, Mina Mansouri, A. Faramarzi, K. Kiani","doi":"10.3233/sji-230009","DOIUrl":"https://doi.org/10.3233/sji-230009","url":null,"abstract":"The big data sources of National Statistical Offices (NSOs) are provided to make a superior platform for decision-making. The household income and expenditure survey is one of the economically important surveys especially when the inflation rate varies to assess the changes in households’ consumption patterns. In this case, big data can be beneficial and help to accurately measure consumption patterns of urban and rural households at every geographical level. This analysis is an exploratory study for the extraction of the size of injustice and imparity of household income and facilities implemented by classifying and clustering all Iranian households. Through this study, classification and soft clustering (Fuzzy clustering) techniques are employed to characterize the Iranian household types from 2011 to 2021, which are supervised and unsupervised approaches, respectively. Moreover, association rule mining techniques are employed to discover and extract consumption patterns for each cluster. Obtained results showed that there was a significant gap between purchasing power/receiving energy between lowest and highest income households from 2011 to 2021, and this gap is increasing day by day.","PeriodicalId":55877,"journal":{"name":"Statistical Journal of the IAOS","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42906256","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}
{"title":"Testing for financial bubbles in the presence of auto-correlated errors","authors":"Harsha S, Ismail B","doi":"10.3233/sji-230024","DOIUrl":"https://doi.org/10.3233/sji-230024","url":null,"abstract":"How to detect financial bubble? In response to this question, a vast amount of empirical research is devoted spanning almost half-century. However, identifying unambiguously the presence of a bubble in the financial time series remains an unsolved problem in standard econometric and financial economic approaches. In this paper, we study the impact of auto-correlated innovations, which is a most common feature of the financial time series, on recently developed unit root tests with varying lag to detect financial bubbles. We apply the more powerful test procedure to identify bubble on the quarterly observations of house price-rent ratios of 4 counties. The results of the study suggest that rolling Max Supremum Augmented Dickey-Fuller (MSADF) test as the best test procedure to detect financial bubbles in the future.","PeriodicalId":55877,"journal":{"name":"Statistical Journal of the IAOS","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47195232","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}
Daniel Gerszon Mahler, Umar Serajuddin, Hiroko Maeda
{"title":"When is there enough data to create a global statistic?","authors":"Daniel Gerszon Mahler, Umar Serajuddin, Hiroko Maeda","doi":"10.3233/sji-220090","DOIUrl":"https://doi.org/10.3233/sji-220090","url":null,"abstract":"To monitor progress towards global goals such as the Sustainable Development Goals, global statistics are needed. Yet cross-country datasets are rarely truly global, creating a trade-off for producers of global statistics: the lower the data coverage threshold for disseminating global statistics, the more can be made available, but the lower accuracy they will have. We quantify this availability-accuracy trade-off by running more than 10 million simulations on the World Development Indicators. We show that if the fraction of the world’s population on which one lacks data is x, then one should expect to be 0.37 *x standard deviations off the true global value, and risk being as much as x standard deviations off. We show the robustness of this result to various assumptions and give recommendations on when there is enough data to create global statistics. Though the decision will be context specific, in a baseline scenario we suggest not to create global statistics when there is data for less than half of the world’s population.","PeriodicalId":55877,"journal":{"name":"Statistical Journal of the IAOS","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135478556","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, François Roubaud, Arvinn Gadgil, Marie Laberge
{"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, François Roubaud, Arvinn Gadgil, Marie Laberge","doi":"10.3233/sji-230027","DOIUrl":"https://doi.org/10.3233/sji-230027","url":null,"abstract":"Created in 2015 by the United Nations Statistical Commission, the Praia Group on Governance Statistics aims “to contribute to establishing international standards and methods for the compilation of statistics on the major dimensions of governance”. The Praia Group has recently created two “Task Teams” led by national statistical offices from around the world – one on Non-Discrimination and Equality, and one on Participation in Political and Public Affairs – whose aim is to advance the development of international statistical guidance, standards and instruments to measure these two dimensions. This article reviews the work accomplished so far by each Task Team to develop internationally harmonized model survey questionnaires on these two dimensions, in order to enable the production of comprehensive survey-based statistics on Discrimination and Participation that are comparable across different cultures, languages and development contexts, and over time.","PeriodicalId":55877,"journal":{"name":"Statistical Journal of the IAOS","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135478560","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}
{"title":"Editorial","authors":"Pieter Everaers","doi":"10.3233/sji-230031","DOIUrl":"https://doi.org/10.3233/sji-230031","url":null,"abstract":"","PeriodicalId":55877,"journal":{"name":"Statistical Journal of the IAOS","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49008352","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}
{"title":"SJIAOS Discussion Platform","authors":"","doi":"10.3233/sji-230032","DOIUrl":"https://doi.org/10.3233/sji-230032","url":null,"abstract":"","PeriodicalId":55877,"journal":{"name":"Statistical Journal of the IAOS","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135542232","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}
Alejandro Pimentel, Oswaldo Díaz, E. Villaseñor, Jose-Luis Marquez
{"title":"First steps towards improving official statistics data accessibility in Mexico: Query expansion with neural networks and ad-hoc space vectors","authors":"Alejandro Pimentel, Oswaldo Díaz, E. Villaseñor, Jose-Luis Marquez","doi":"10.3233/sji-230014","DOIUrl":"https://doi.org/10.3233/sji-230014","url":null,"abstract":"Mexico’s National Institute of Statistics and Geography (INEGI) has announced plans to improve its information search service, with the aim of increasing the accessibility of official statistical data. The upgraded search engine will include a new component that offers more sophisticated search capabilities. These include the ability to conduct intelligent searches that do not require an exact match of the search text, as well as the expansion of searches using related ad-hoc terms. Additionally, the new component will provide feedback through the most appropriate relations. To achieve this, the system will utilize neural network-based distributional word representation systems to identify relationships between related terms. The vector spaces and representation will be manipulated to keep connections within the most relevant vocabulary for the institute’s type of searches. The usability testing department at the institute conducted blind pilot tests to compare the quality reported by users with and without the new enhancements. Although the evaluation survey showed significant improvements in the search engine’s performance, the tool presented is just the first step towards a system that allows continuous interaction and feedback with users to improve the quality of the responses presented. This strategy is not currently implemented by the institute, making this an immediate and easy-to-replicate approach for obtaining useful interactions with users.","PeriodicalId":55877,"journal":{"name":"Statistical Journal of the IAOS","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48370741","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}
{"title":"Assuring quality in the new data ecosystem: Mind the gap between data and statistics!","authors":"Matthias Reister","doi":"10.3233/sji-230008","DOIUrl":"https://doi.org/10.3233/sji-230008","url":null,"abstract":"Drawing on recent work to develop the United Nations National Quality Assurance Frameworks Manual for Official Statistics to respond to the new data ecosystem, this paper addresses three important questions now facing the statistical community: (1) How can official statistics assure the quality of data from administrative and other sources? (2) Can the quality assurance framework for official statistics be applied to data as opposed to statistics? (3) What other implications does the difference between data and statistics have for the role of official statistics in the new data ecosystem? The paper argues that statistical offices should strongly support the establishment of national data stewards but should not take on such a role themselves. Mixing responsibilities for data and official statistics risks both undermining official statistics and not doing justice to the need to develop data as an asset in a responsible way.","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":"44867894","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}
{"title":"War and Peace: Structural changes in the U.S. industries 1939–1958","authors":"Kazusuke Tsujimura, Masako Tsujimura","doi":"10.3233/sji-220035","DOIUrl":"https://doi.org/10.3233/sji-220035","url":null,"abstract":"In his memoir published in 2002, George Dantzig, who had invented the simplex algorithm to solve linear programming problems, praised Wassily Leontief as a great pioneer for proposing a large but simple matrix model that represents the interindustry input-output structure of an economy. Input-output tables, which depict the transactions of goods and services between industries, have been intensively used to prepare the U.S. economy for World War II, and to eventually liberate Europe. This paper not only revisits the early development of structural analysis but also applies it to the 1939, 1947 and 1958 U.S. input-output tables using triangulation and dispersion indices as fundamental tools. The degree of integrity represented in the Leontief inverse significantly increased as the division of work progressed in the time of war to achieve maximum productivity. The structural changes ensured a smooth transition of the American economy from peacetime to wartime, and later, the fast rebuilding of European economies that had been completely devastated during the war.","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":"46812035","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}