|
|
|
|
|
 |
Search published articles |
 |
|
Showing 3 results for Kalhori
Mrs Lida Kalhori, Mrs Roshanak Aliakbari Saba, Mrs Asiyeh Abbasi,
Volume 26, Issue 2 (3-2022)
Abstract
Household Income and Expenditure Survey (HEIS) is one of the most important surveys of the Statistical Center of Iran, the main parameters of which are spatially correlated. When there is a spatial correlation between the units of population, the classical way of selecting independent sampling units is challenging due to the lack of basic condition for the independence. Using spatial sampling is a solution to encounter this problem. Implementation of spatial sampling has received less attention in official statistics due to the lack of access to a suitable framework. In this paper we review a design-based model assisted method for optimal spatial stratification of the target population. At present, spatial information of population units are not available in the framework of HEIS, but access to spatial information of some sample units has been achieved by the Statistical Center of Iran for this study. The production of spatial data is one of the main components in the modernization of the statistical system which is considered by Statistical Center of Iran. In this paper, the sampling frame is simulated based on the HEIS data and then application of optimal spatial stratification based on a generalized distance is performed. The results demonstrate an increase in the efficiency of the mentioned sampling method compared to simple random sampling at the level of geographical areas. Also, simulation of grids with different sizes and correlations reflects the better performance of this method compared to the current method of HEIS.
Mrs Parya Torabi Kahlan, Mrs Lida Kalhori Nadrabadi,
Volume 28, Issue 1 (9-2023)
Abstract
The use of administrative resources in censuses provides the possibility of reducing costs, improving data quality and producing information with a shorter time sequence. The mentioned cases, in addition to the annual monitoring of indicators of sustainable development goals, can also play a significant role in meeting the growing needs of the country's planning and research system, but there are many challenges in this regard, one of the most important of which is the assessment of the quality of administrative data. Quality assessment is the most important aspect of using registration and administrative data in the census, and it is one of the necessities of the registers-based population and housing censuses, where traditional quality assessment criteria cannot be used. In other words, despite the advantages of using register and administrative data in the census, there are many key quality risks that need to be addressed and assessed before using them in the census. In this paper, the methods by which the national statistics offices can evaluate the quality of the data obtained from the registers with the aim of producing high-quality statistical outputs have been reviewed. Therefore, the tools and key indicators used to quantify the quality assessment in each of the four stages of quality assessment including source, input data, process and output in the census process are introduced.
Mrs Parya Torabi Kahlan, Mrs Lida Kalhori Nadrabadi,
Volume 28, Issue 2 (3-2024)
Abstract
Over the last decades there have been, increasing challenges to the traditional census. Collecting information from every person in a country using traditional methods is a massive and costly exercise and thus a key concern. Further, reduced willingness amongst the population to respond to the census questionnaires and unexpected crises such as the Covid-19 pandemic have maked it increasingly difficult for NSOs to produce reliable figures with the necessary geographical and substantive detail.But developments of new technologies and approaches to data collection mean that there are also emerging opportunities. The increasing desire to use administrative resources in the implementation of censuses has made it possible to reduce costs, improve data quality, and produce frequent information on an annual basis. A study of the different approaches adopted by some countries in the Asia-Pacific region shows that administrative data are currently being used in different ways to support census operations. Examining these approaches will be very useful to help and guide for countries contemplating the use of or expansion of their use of administrative data for censuses. In this article, while reviewing the definition of register and the types of administrative registers used in register-based census, the proceedings taken in some countries in moving towards register-based census are presented.
|
|
|
|
|
|
|
|
|
