جستجوی مقالات مرتبط با کلیدواژه "official statistics" در نشریات گروه "آمار"

With the advent of big data in the last two decades, in order to exploit and use this type of data, the need to integrate databases for building a stronger evidence base for policy and service development is felt more than ever. Therefore, familiarity with the methodology of data linkage as one of the methods of data integration and the use of machine learning methods to facilitate the process of recording records is essential. In this paper, in addition to introducing the record linkage process and some related methods, machine learning algorithms are required to increase the speed of database integration, reduce costs and improve record linkage performance. In this paper, two databases of the Statistical Center of Iran and Social Security Organization are linked.

 The appropriate site selection for the establishment of industries pays attention to a wide range of criteria and combines economic and social benefits with the application of multi-criteria decision making in the environment of the environmental system. It also Ardabil province has a high investment capacity in industrial sectors in terms of site selection investment projects. This research is an applied type that is done by geographic information decision making method. In this research, topographic, geological, hydro-climatic and human criteria were used to locate suitable areas for the construction of industries, and after weighing the layers based on the ANP model, the capabilities of GIS software were used to integrate and overlap the maps. Finally, the site selection map of the industries was prepared. In this paper, the required data for site selection provided by questionnaire, answered by 30 experts, and satellite information. The results show that the most of permitted areas for industries, include the central part of Ardabil province. Totally, the research classify the areas of Ardabil province by their ability to construct industrial centers.

Official population estimates can be produced using a variety of data sources and methods. These range from the direct extraction of information from continuously updated population registers to procedures for updating the status of a population enumerated previously in a periodic census. Additional sources and techniques involve the use of sample surveys or complementary sources of headcount statistics for specific age groups (e.g., immunization records, school enrollment statistics, electoral roll data). In all cases, the objective is to derive regular (typically annual) time series of the estimated size of a population classified by age and sex. Some methods and data sources are considered preferable, as they are more likely to produce internally consistent and reliable estimates. In all cases, the data and methods used to produce population estimates should be clearly documented and made readily available to data users. These metadata are essential for interpreting properly and for assessing the accuracy and reliability of population estimates and their suitability for informing policy formulation and implementation at the national level. Access to such metadata is especially important if population estimates are being used for comparative purposes at the global level. This paper offers a concise review of the methods that are commonly used by national statistical offices to produce annual time series of population estimates by age and sex. These methods depend on the availability of two essential components: an initial population count and a method of time adjustment. Both components play a crucial role in determining the overall quality of a set of population estimates. The paper formulates specific recommendations concerning best practices for the production of official population estimates. Drawing on information from various sources used by the United Nations to produce its biennial edition of global population estimates, the World Population Prospects, the paper also provides (in the appendix) an overview of data availability and current practices in the production of official population estimates around the world.

In most surveys, the occupation and job-industry related questions are asked through open-ended questions, and the coding of this information into thousands of categories is done manually. This is very time consuming and costly. Given the requirement of modernizing the statistical system of countries, it is necessary to use statistical learning methods in official statistics for primary and secondary data analysis. Statistical learning classification methods are also useful in the process of producing official statistics. The purpose of this article is to code some statistical processes using statistical learning methods and familiarize executive managers about the possibility of using statistical learning methods in the production of official statistics. Two applications of classification statistical learning methods, including automatic coding of economic activities and open-ended coding of statistical centers questionnaires using four iterative methods, are investigated. The studied methods include duplication, support vector machine (SVM) with multi-level aggregation methods, a combination of the duplication method and SVM, and the nearest neighbor method.

 Open data notion is based on the idea that emphasizes on free access of users to data to reuse them on their own and republish the result far from some restrictions of copyright, patent etc.  Due to the ever increasing trend of Information and Communication Technology (ICT), more data is producing every day and this brings brilliant opportunity for National Statistical Offices (NSOs) that are responsible for producing official statistics to produce more and more official statistics on lesser cost and more velocity. Beside, in modernization process of statistical system using the alterative data sources has been under considerations and open data is salient example. Labour force statistics in Iran has been one the prominent kind of official statistics which is conducting quarterly and it results put the center of attentions. In the other sides, there has been increasing trend in the number of employment as a result of boosting in the number of social network users. In this study, the Instagram data as a second favorable social network in Iran was used as criteria for macro validation of employment statistics. Interestingly, the obtained results from statistical hypothesis testing revealed that there is a significant relationship between employee statistics from surveys and Instagram employee trend though they are mostly unregistered. These results can be used by statisticians as a macro criterion for validation of employee trend from survey.

 One of the most important fundamental principles of official statistics, is the principle of Relevance, Impartiality, and professional ethics. Trust and ensure of the stakeholders and users of official statistics to the professional independency of National Statistical Offices (NSO) and the National Statistical System (NSS), as a social capital, is one of the most important factors for the success of these organizations in producing and disseminating accurate statistics. Regarding the important role of official statistics in the development and progress of each country, this trust and social capital is very essential. Therefore, one of the challenges for NSS and NSOs, has been to provide analysis on disseminated statistics. Due to this concern, in the past, NSOs, did not consider analysis as their duty. However, in regard to recent advanced progress and achievements in science and technology, the need for changes in approaches and methods of producing and disseminating official statistics has become inevitable. Therefore, in recent years, especially since 2010, the issue of modernization of official statistics discussed and pursued increasingly, in the literature and highest levels of reference and related international organizations. In this article, an attempt has been made to study foresaid subjects and deal with backgrounds and contexts of analysis in official statistics and its approach and its Interpretations in a modern NSS. Also tried to explain and define the features of proper analysis in modern and its necessity.

 In the National Statistical Systems‎, ‎some parts of the official statistics required for development planning and evidence base management are collected through sampling survey‎. ‎Due to the high cost of sampling process‎, ‎as well as nonresponses‎, ‎it may not be possible to collect all of the expected variables in a survey‎.‎In order to obtain a comprehensive and complete source of information‎, ‎it is wise and important to integrate all sources of information from different surveys‎, ‎to minimize the shortcomings of each survey and to maximize their advantages‎.‎In this paper‎, ‎we use non-parametric methods at micro-level to integrate two information sources of ‘labour force survey’ and ‘time-use survey’ in Fall 2015‎. ‎In this way‎, ‎in addition to increasing the coverage of the variables from the two sources‎, ‎we could also study the peculiarities of work and life quality‎, ‎simultaneously‎.

The great progress of technology and science make societies more complicated. In this regard, budget constraints as well as the growing statistical needs of users for high quality and timely statistics, have faced national statistical offices (NSOs) with many new challenges in recent years. In other hand, emergence of multiple data sources has increased the demand of these factors, together forced NSOs to review and redesign the systems and processes of producing and dissemination of official statistics. According to this, a new concept has been raised in the literature which is called the modernization of statistical systems. Given the importance of the issue and for greater coordination at the global level, United Nations Statistics Division asked the UN Economic Commission for Europe to study and act systematically in this field. For this purpose, UNECE in 2010 set up a special committee which is called the High-Level Group for the Modernization of Official Statistics. Numerous conferences and seminars with the participation of scientists, statisticians and experts in official statistics in different parts of the world have been held by international organizations and institutes of official statistics. The United Nations Statistics Commission, as the highest international body, in its 46th, 47th and 48th sessions in 2015, 2016 and 2017, has placed the issue of modernization of statistical systems on its agenda. In this article, while introducing the modernization of statistical systems, the literature on the subject and the studies conducted in this field are reviewed. Then, the dimensions and aspects of this concept will be discussed in detail, focusing on the role and position of the National Statistics Organization in the modern statistical system (NSS). Finally, considering the role of the statistical system in the countrychr('39')s decision-making system and good governance, looking at the third national plan for the development of the countrychr('39')s statistical system, the characteristics, structure and requirements of the NSO and NSS will be mentioned.

The quality of statistics, as a product, is coming very essential for both users and statistics producers. Therefore, international statistical organizations and National statistics offices (NSO) are required to define an appropriate definition of quality for official statistics and its aspects. It is worth mentioning that some studies and efforts have also done correspondingly in our country. However, due to speed of expanding of this subject and also abundance of the related researches and studies, the previous studies need to be reviewed and updated to prevent any ambiguity for users. In this article, it is aimed to make a clear definition of quality for official statistics and its concepts. Moreover, it is seeking to give an apparent perception of the beginning of data quality concept in the statistical system by reviewing and summarizing the main international organizations’ works as references, which can be useful for establishing a customized statistics quality management system in the related NSO.