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Journal articles on the topic 'Socio-economic data'

Author: Grafiati

Published: 10 March 2023

Last updated: 31 July 2025

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1

Lypchuk, V. V., and О. M. Krupa. "Data Reduction in Socio-Economic Studies." Statistics of Ukraine, no. 1(76) (March 20, 2017): 15–20. http://dx.doi.org/10.31767/su.1(76).2017.01.02.

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The article is devoted to the problem of data reduction as an important step on the way of providing reliability and efficiency of socio-economic studies. Through the reduction the large amounts of raw data, generated from different sources, become more useful, convenient and clear for use. Meanwhile, the data reduction is not treated as a separate phase of studies in the national statistic practice. The aim of the article is to substantiate the importance of data reduction in economic studies and attempt to systematize and generalize the essence and components of the phase of data reduction a

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2

Girul, Agata. "MAJOR SOCIO-ECONOMIC DATA ON VOIVODSHIPS." Śląski Przegląd Statystyczny, no. 14 (2016): 255–62. http://dx.doi.org/10.15611/sps.2016.14.17.

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Girul, agata. "MAJOR SOCIO-ECONOMIC DATA ON VOIVODESHIPS." Śląski Przegląd Statystyczny, no. 15 (2016): 297–303. http://dx.doi.org/10.15611/sps.2017.15.17.

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Lee, Ji-Wan, Eun-Mi Hong, Won-Jin Jang, and Seong-Joon Kim. "Assessment of socio-economic drought information using drought-related Internet news data (Part A: Socio-economic drought data construct and evaluation socio-economic drought information)." International Journal of Disaster Risk Reduction 75 (June 2022): 102961. http://dx.doi.org/10.1016/j.ijdrr.2022.102961.

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Aiubov, Magomed salekh Alievich. "Chechen Republic’s socio-economic development data analysis." Interactive science, no. 5 (39) (May 27, 2019): 48–49. http://dx.doi.org/10.21661/r-496606.

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The analysis of socio-economic state of Chechen Republic is given in this article. The data given in this analysis can be used in order to find a way to optimize region’s level of development. The author gives detailed data on both socio-economic state of the country and region’s GRP growth (development) rate. The data presented in the article are the most recent.

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Slingsby, Aidan, Jason Dykes, and Jo Wood. "Rectangular Hierarchical Cartograms for Socio-Economic Data." Journal of Maps 6, no. 1 (2010): 330–45. http://dx.doi.org/10.4113/jom.2010.1090.

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Yun-Shan Sun, Yun-Shan Sun, Hong-Yan Xu Yun-Shan Sun, and Yan-Qin Li Hong-Yan Xu. "Missing Data Interpolation with Variational Bayesian Inference for Socio-economic Statistics Applications." 電腦學刊 33, no. 2 (2022): 169–76. http://dx.doi.org/10.53106/199115992022043302015.

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<p>The information integrity is needed to solving socio-economic statistical problems. However, the information integrity is destroyed by missing data which is caused by various subjective and objective reasons. So the missing data interpolation is used to supplement missing data. In this paper, missing data interpolation with variational Bayesian inference is proposed. This method is combined with Gaussian model to approximate the posterior distribution to obtain complete data. The experiments include two datasets (artificial dataset and actual dataset) based on three missing ratios sep

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Yun-Shan Sun, Yun-Shan Sun, Hong-Yan Xu Yun-Shan Sun, and Yan-Qin Li Hong-Yan Xu. "Missing Data Interpolation with Variational Bayesian Inference for Socio-economic Statistics Applications." 電腦學刊 33, no. 2 (2022): 169–76. http://dx.doi.org/10.53106/199115992022043302015.

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<p>The information integrity is needed to solving socio-economic statistical problems. However, the information integrity is destroyed by missing data which is caused by various subjective and objective reasons. So the missing data interpolation is used to supplement missing data. In this paper, missing data interpolation with variational Bayesian inference is proposed. This method is combined with Gaussian model to approximate the posterior distribution to obtain complete data. The experiments include two datasets (artificial dataset and actual dataset) based on three missing ratios sep

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Otto, Ilona M., Anne Biewald, Dim Coumou, et al. "Socio-economic data for global environmental change research." Nature Climate Change 5, no. 6 (2015): 503–6. http://dx.doi.org/10.1038/nclimate2593.

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10

Müller, G. P., P. Alpar, R. J. Grausam, and F. Worpitz. "Knowledge-Based Analysis of Socio-Economic Panel Data." IFAC Proceedings Volumes 20, no. 10 (1987): 87–89. http://dx.doi.org/10.1016/s1474-6670(17)59038-2.

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11

van Leth, F., R. S. Guilatco, S. Hossain, et al. "Measuring socio-economic data in tuberculosis prevalence surveys." International Journal of Tuberculosis and Lung Disease 15, no. 6 (2011): 58–63. http://dx.doi.org/10.5588/ijtld.10.0417.

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IWAKURA, Nozomi, Keita OCHI, Syunpei HAGINOYA, and Midori SUGIYAMA. "Crime analysis in Tokyo using Socio-Economic data." Proceedings of the Annual Convention of the Japanese Psychological Association 74 (September 20, 2010): 3PM143. http://dx.doi.org/10.4992/pacjpa.74.0_3pm143.

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Mohammed Abdullah Omar Nasseef, Mohammed Abdullah Omar Nasseef. "Ethics of Big Data: A Socio-Economic Perspective." journal of king Abdulaziz University Islamic Economics 33, no. 1 (2020): 91–98. http://dx.doi.org/10.4197/islec.33-1.7.

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With the development of information technology, artificial intelligence, and robots, capitalism has increasingly assumed a form of platform capitalism which is ‘reconceptualizing our economy’ to the extent that it is ‘forcing us to rethink economics’. Capitalism and various institutions controlled by this system have been the subject of criticism in the past and need was expressed to reform them. But today it has become most obvious that there is need for ‘replacing it with a more caring and provisioning sustainable system’.

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14

Fattore, Marco, and Lucio De Capitani. "Partially Ordered Sets in Socio-Economic Data Analysis." Encyclopedia 5, no. 3 (2025): 100. https://doi.org/10.3390/encyclopedia5030100.

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A partially ordered set (or a poset, for short) is a set endowed with a partial order relation, i.e., with a reflexive, anti-symmetric, and transitive binary relation. As mathematical objects, posets have been intensively studied in the last century, coming to play essential roles in pure mathematics, logic, and theoretical computer science. More recently, they have been increasingly employed in data analysis, multi-criteria decision-making, and social sciences, particularly for building synthetic indicators and extracting rankings from multidimensional systems of ordinal data. Posets naturall

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Usmanov, Daler. "Modeling the socio-economic development of Russia using big data and data from field experiments." Economics and the Mathematical Methods 59, no. 2 (2023): 39. http://dx.doi.org/10.31857/s042473880023483-0.

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The purpose of the article is to study the prospects of socio-economic development of Russia from the point of view of transition to economic autarky. The study includes a cluster analysis of trends and patterns of socio-economic development of Russia, as well as neighboring countries (CIS). As a comparison base, data were used on countries that have passed (South Korea and Japan) or are passing (Iran) through a full-scale experiment of economic autarky with varying degrees of success. Statistically processed big data reflected in the Countries&apos; Prosperity Index (Legatum Prosperity In

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Syed, Ibrahim Shah. "Socio-Economic Effects of Proverty." International Journal of Business, Economics and Management Works (ISSN: 2410-3500) 06, no. 02 (2019): 1–11. https://doi.org/10.5281/zenodo.2582637.

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The Poverty is one of the major problems facing by countries of the world today.  Poverty arise when people of a country are not able to achieve the standard of living that is usual for their society. Poverty is not only having no money but in developing countries it is also not having the materials and resources to fulfill their basic needs. Poverty is most wide spread in sub-Saharan and South-Asia where 40% of the population lives on less than $365 a year. Poverty is distributed in absolute and relative terms. On global systematic causes such as track, aid & debt etc. & on natio

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D C, Daman Dhoj. "Socio-Economic Status of Kingariya." Academia Research Journal 2, no. 1 (2023): 60–72. http://dx.doi.org/10.3126/academia.v2i1.52337.

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Analyzing the socioeconomic situation and current circumstances of the Kingariya community of Dalit Muslims in Puraini, Nepalgunj, was the goal of this study. They are a group of traditional dancers and cultural performers from the upper caste of Muslims. Muslims from the Dalit community work as wage laborers in agriculture and construction. Despite spending a lot of time in the Terai region of Nepal, they are poor and landless. The primary goal of this study is to examine the socioeconomic situation of the Kingariya community in Kingariyanpurwa, Puraini, in the Banke district. In this study,

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Shvaiba, D. "Socio-economic security: risk analysis." Bulletin of Science and Practice 4, no. 5 (2018): 430–37. https://doi.org/10.5281/zenodo.1246292.

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Quite often in many areas of human activity, there are tasks of studying the situation, having a large number of various qualities, any of which has the ability to be important for the properties of this system. Information about this system, as a rule, can be presented in the form of an array of descriptions of the qualities of selected research units, referred to as the term “object” autonomously from their nature. The qualities of objects are operationalized with the support of measurement procedures when an object is put in relation to some sense, degree, the gradation of the s

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19

Winkler, Othmar W. "Interpreting the cumulative frequency distribution of Socio-Economic data." Biometrics & Biostatistics International Journal 8, no. 1 (2019): 13–16. http://dx.doi.org/10.15406/bbij.2019.08.00263.

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Dunkel, Jürgen, David Dominguez, Óscar G. Borzdynski, and Ángel Sánchez. "Solid Waste Analysis Using Open-Access Socio-Economic Data." Sustainability 14, no. 3 (2022): 1233. http://dx.doi.org/10.3390/su14031233.

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Nowadays, problems related with solid waste management become a challenge for most countries due to the rising generation of waste, related environmental issues, and associated costs of produced wastes. Effective waste management systems at different geographic levels require accurate forecasting of future waste generation. In this work, we investigate how open-access data, such as provided from the Organisation for Economic Co-operation and Development (OECD), can be used for the analysis of waste data. The main idea of this study is finding the links between socio-economic and demographic va

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21

Konovalov, V. A. "CATEGORY BIG DATA MODEL OF THE SOCIO-ECONOMIC SYSTEM." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 210 (December 2021): 36–42. http://dx.doi.org/10.14489/vkit.2021.12.pp.036-042.

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The socioeconomic systems in which the tasks of countering the legalization (laundering) of proceeds from crime and the financing of terrorism are solved are considered. An intermediate conclusion is presented and made that it is necessary to synthesize a problem-oriented control subsystem for such systems and tasks. The management tasks that distinguish such a data model in modern conditions are highlighted. It is proposed to use a categorical-theoretic approach for synthesizing a data model, which is free from the mathematical paradoxes of mathematical sets, and is also not limited by the si

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Agbozo, Ebenezer, and Benjamin Kwesi Asamoah. "Data-driven E-Government: Exploring the Socio-Economic Ramifications." JeDEM - eJournal of eDemocracy and Open Government 11, no. 1 (2019): 81–90. http://dx.doi.org/10.29379/jedem.v11i1.510.

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The evident benefits of big data, artificial intelligence and machine learning in society have begun to influence the transition towards a data-driven public sector. Decision-making in the public sector is in an infancy phase of a revolution owing to the inclusion of these new technological innovations. Research has revealed that data-driven e-government policies improve socio-economic development in some nations. Despite the immense opportunities data-driven e-government models have for governments, similar to every system, there are ramifications. This study explores the concept of data-driv

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23

Longley, Paul A. "Geographical Information Systems: developments in socio-economic data infrastructures." Progress in Human Geography 27, no. 1 (2003): 114–21. http://dx.doi.org/10.1191/0309132503ph415pr.

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24

Breidenbach, Philipp, and Lea Eilers. "RWI-GEO-GRID: Socio-economic data on grid level." Jahrbücher für Nationalökonomie und Statistik 238, no. 6 (2018): 609–16. http://dx.doi.org/10.1515/jbnst-2017-0171.

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25

УСАЕВ, А. А., and Л. М. ГАРСАЕВ. "ELISTANJI VILLAGE: ANALYSIS OF SOCIO-ECONOMIC DATA 1859–1914." Вестник Академии наук Чеченской Республики, no. 1(64) (September 10, 2024): 71–81. http://dx.doi.org/10.25744/vestnik.2024.48.80.011.

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В статье рассматриваются некоторые вопросы истории основания, становления села Элистанжи Веденского района Чеченской Республики и его географического расположения. Рассмотрены версии этимологии села Элистанжи; упоминается эпоним Элсан – основатель Эли станжи, а также его современник Гундал – патроним тайпа гуной; указан состав и происхож дение тайпа элистанжой. Рассмотрены некоторые вопросы социально-экономического характе ра: демографии, землепользования, занятости его жителей по статистическим данным 1859, 1882–1883, 1889–1891 и 1914 гг. Проведен анализ посемейных списков 1906–1907 гг. с ука

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Ruíz, Ricardo, Christopher R. Stephens, and Santiago Roel Rodríguez. "Crime Data Mining: Combining Socio-economic and Spatial Analysis." Research in Computing Science 100, no. 1 (2015): 75–88. http://dx.doi.org/10.13053/rcs-100-1-7.

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27

Carroll, L. "An information jungle: socio-economic data for water management." Australasian Journal of Environmental Management 17, no. 2 (2010): 88–99. http://dx.doi.org/10.1080/14486563.2010.9725254.

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28

Ahn, Namkee, and Virginia Sánchez-Marcos. "Analysis of fertility using cohort-specific socio-economic data." Review of Economics of the Household 18, no. 3 (2019): 711–33. http://dx.doi.org/10.1007/s11150-019-09455-0.

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29

Arshed, Noman, Osama Aziz, Rana Zamin Abbas, and Maryam Batool. "Socio-economic causals for entrepreneurial transformation." Journal on Innovation and Sustainability RISUS 14, no. 1 (2023): 36–54. http://dx.doi.org/10.23925/2179-3565.2023v14i1p36-54.

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Entrepreneurship has become vital for national growth. Therefore, it is essential to explore the factors that enhance entrepreneurial transformation. The literature identifies two main driving forces behind entrepreneurship: necessity and opportunity, which react differently to the socio-economic factors. This study explores the socio-economic determinants of necessity-based entrepreneurship and opportunity-based entrepreneurship. Here the yearly data of 108 countries from 2009 to 2017 is used to formulate a panel data model. Data on entrepreneurship is taken from the Global Entrepreneurship M

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30

Zotikov, N. "Quality of life as a socio-economic indicator of socio-economic development of the region." Siberian Financial School, no. 1 (April 18, 2025): 151–60. https://doi.org/10.34020/1993-4386-2025-1-151-160.

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Socio-economic development and quality of life are complementary concepts. The purpose of the article is to consider the role of the Siberian Federal District in the country's economy, in ensuring the quality of life of the population and its impact on the development of the regions of the district. The following methods were used in the study: normative analysis (the study of the legal regulation of issues of socio-economic development and its impact on the quality of life), analysis and synthesis, grouping, generalization, comparison, analysis of statistical data. The information base of the

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31

Obelets, Tetyana. "Data mining tools for complex socio-economic processes and systems." System research and information technologies, no. 4 (December 27, 2022): 68–78. http://dx.doi.org/10.20535/srit.2308-8893.2022.4.06.

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The paper considers discovering new and potentially useful information from large amounts of data that actualizes the role of developing data mining tools for complex socio-economic processes and systems based on the principles of the digital economy and their processing using network applications. The stages of data mining for complex socio-economic processes and systems were outlined. The algorithm of data mining was considered. It is determined that the previously used stages of data mining, which were limited to the model-building process, can be extended through the use of more powerful c

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ABESADZE, NINO, NATALIA ROBITASHVILI, and OTAR ABESADZE. "SOCIO-ECONOMIC-GENDER DISBALANCES IN GEORGIA." Globalization and Business 4, no. 7 (2019): 143–47. http://dx.doi.org/10.35945/gb.2019.07.017.

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Introduction and aim According to the policy towards gender equality, Georgia has become one of the most reformed countries in the Caucasus. Despite the fact that many steps have been taken in this regard, the problems are still in the society. The main objective of the study is to identify and analyze gender imbalances in the country on the background of gender stereotypes in the context of civil cognitive levels. Research methodology: In development of the article, generally accepted qualitative and quantitative data analysis methods of the economic science were employed, among them, statist

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Baltgailis, Jurijs, Anastasiia Simakhova, and Stanislavs Buka. "AI IN BANKING: SOCIO-ECONOMIC ASPECTS." Baltic Journal of Economic Studies 10, no. 3 (2024): 26–35. http://dx.doi.org/10.30525/2256-0742/2024-10-3-26-35.

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Artificial intelligence is revolutionising the banking sector, offering a range of benefits such as enhanced customer support, improved fraud detection and more informed decision-making. Banks are using AI technologies to optimise their operations, improve customer service, and proactively manage risks, leading to increased efficiency and productivity. The article is devoted to the issue of studying the use of artificial intelligence in the banking sector. The purpose of the article is to explore the potential of artificial intelligence for the banking sector. The article uses methods of data

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Nurul Qomariyah, Siti, Harti, and Hariyati. "Social Interaction, Socio-Economic Status, and Basic Economic Knowledge of Students' Economic Behavior." Jurnal Pendidikan Ekonomi Dan Bisnis (JPEB) 7, no. 2 (2019): 101–11. http://dx.doi.org/10.21009/jpeb.007.2.1.

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This study aims to determine the effect of social interaction, socioeconomic status, and basic economic knowledge on the economic behavior of MAN students in the Pati Regency. This research uses a quantitative research approach. This study uses primary data obtained from distributing questionnaires to students. The population in this study amounted to 266 students. Participants in this study are 160 students with a proportional random sampling technique. The data analysis technique used is multiple linear regression analysis. Based on the results of data analysis, there is an influence of soci

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Izhar, ul Hassan, Saeed Kashif, and Ullah Sami. "SOCIO-ECONOMIC IMPACT OF INTERNAL DISPLACEMENT." Indian Journal of Economics and Business 20, no. 1 (2021): 255–68. https://doi.org/10.5281/zenodo.5810072.

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Many cities around the country have experienced substantial population expansion in the recent two decades, with large arrivals from Federally Administered Tribal Areas (FATA) and Provincially Administered Tribal Areas (PATA). The militancy and military operations in certain areas were a wellknown characteristic of this movement. The majority of the inhabitants, including women and children, came to Bannu and DI Khan from North and South Waziristan Agencies. This massive movement has a variety of economic, social, political, and environmental effects for the people who live in a given location

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McLaughlin, S., J. McKenna, and J. A. G. Cooper. "Socio-economic data in coastal vulnerability indices: constraints and opportunities." Journal of Coastal Research 36 (March 2002): 487–97. http://dx.doi.org/10.2112/1551-5036-36.sp1.487.

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37

Siedler, Thomas, Jürgen Schupp, C. Katharina Spiess, and Gert G. Wagner. "The German Socio-Economic Panel (SOEP) as Reference Data Set." Schmollers Jahrbuch 129, no. 2 (2009): 367–74. http://dx.doi.org/10.3790/schm.129.2.367.

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Tikhomirov, B. I. "Creating and Using Big Data for Socio-Economic Development Management." Economics, taxes & law 13, no. 2 (2020): 103–12. http://dx.doi.org/10.26794/1999-849x-2020-13-2-103-112.

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Goswami, P. R. "Access to Socio-Economic Data with Particular Reference to India." DESIDOC Bulletin of Information Technology 18, no. 4 (1998): 29–38. http://dx.doi.org/10.14429/dbit.18.4.3405.

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Kim, Hyun-Jung. "Modern Chinese Socio-Economic History Research Through Maritime Customs Data." Journal of School Social Work 96 (November 30, 2024): 185–221. https://doi.org/10.37924/jssw.96.6.

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Kjærgaard, S⊘ren, Yunus Emre Ergemen, Marie‐Pier Bergeron‐Boucher, Jim Oeppen, and Malene Kallestrup‐Lamb. "Longevity forecasting by socio‐economic groups using compositional data analysis." Journal of the Royal Statistical Society: Series A (Statistics in Society) 183, no. 3 (2020): 1167–87. http://dx.doi.org/10.1111/rssa.12555.

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Alfó, Marco, and Francesco Bartolucci. "Latent variable models for the analysis of socio-economic data." METRON 73, no. 2 (2015): 151–54. http://dx.doi.org/10.1007/s40300-015-0074-3.

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Konovalov, V. A. "СLASSIFIER OF BIG DATA OBJECTS OF THE SOCIO-ECONOMIC SYSTEM". Vestnik komp'iuternykh i informatsionnykh tekhnologii, № 212 (лютий 2022): 32–39. http://dx.doi.org/10.14489/vkit.2022.02.pp.032-039.

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The well-known models that provide the synthesis of object classifiers are analyzed: the Grothendieck topos model, Kripke’s intuitionistic model and the model of the normal Markov algorithm, in which similar approaches to the representation of objects are highlighted. The differences in the classifiers used in them are highlighted. A categorical-theoretical model of topos has been developed, in which sets are represented by n-categories. A generalized classifier has been developed that includes the properties of the Grothendieck, Kripke and Markov classifiers. An N-scheme is synthesized to rep

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Dufitimana, Esaie, Paterne Gahungu, Ernest Uwayezu, Emmy Mugisha, and Jean Pierre Bizimana. "Integrating Machine Learning and Geospatial Data for Mapping Socioeconomic Vulnerability to Urban Natural Hazard." ISPRS International Journal of Geo-Information 14, no. 4 (2025): 161. https://doi.org/10.3390/ijgi14040161.

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Rapid urbanization and climate change are increasing the risks associated with natural hazards, especially in cities where socio-economic disparities are significant. Current hazard risk assessment frameworks fail to consider socio-economic factors, which limits their ability to effectively address vulnerabilities at the community level. This study introduces a machine learning framework designed to assess flood susceptibility and socio-economic vulnerability, particularly in urban areas with limited data. Using Kigali, Rwanda, as a case study, we quantified socio-economic vulnerability throug

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Schröder, Carsten, Johannes König, Alexandra Fedorets, et al. "The economic research potentials of the German Socio-Economic Panel study." German Economic Review 21, no. 3 (2020): 335–71. http://dx.doi.org/10.1515/ger-2020-0033.

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AbstractWe provide a concise introduction to a household-panel data infrastructure that provides the international research community with longitudinal data of private households in Germany since 1984: the German Socio-Economic Panel (SOEP). We demonstrate the comparative strength of the SOEP data in answering economically-relevant questions by highlighting its diverse and impactful applications throughout the field.

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Zhulaikah, Setyawanti. "Socio-Economic Influence on Inclusive Economic Development in Eastern Indonesia." Jurnal Ilmu Ekonomi JIE 8, no. 04 (2024): 352–63. https://doi.org/10.22219/jie.v8i04.32847.

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This study aims to study the socio-economic impact on inclusive economic growth in the eastern region of Indonesia. The quantitative method is based on data collected from the Central Statistics Agency, which covers thirteen provinces in the eastern region of Indonesia from 2017 to 2021. The influence of the dependent variable on the independent variable is determined through a panel data regression method using a fixed effects model. This research shows that the inclusive economic development index variable consists of the open unemployment rate with a negative and significant value; the numb

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R, Ambika, and Krishnamoorthy K. "Determinant of Socio-Economic Sustainable Development." Shanlax International Journal of Arts, Science and Humanities 6, no. 3 (2019): 35–36. https://doi.org/10.5281/zenodo.2550009.

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The socio-economic survey is interference which lets administrations validate their strategic decisions. we get a lot of data about the social, political and economic aspects of a territory. The main issues of minimum level low socioeconomic status inference the poverty. The socio-economic survey is a development activity. In socio-economic development is based on the demographic details, household category wise, population, educational qualification status, landholding, and cropping pattern, livestock details of the village. In fact, literacy is significantly important for the overall progres

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Turrell, Gavin, Belinda Hewitt, Carla Patterson, and Brian Oldenburg. "Measuring socio-economic position in dietary research: is choice of socio-economic indicator important?" Public Health Nutrition 6, no. 2 (2003): 191–200. http://dx.doi.org/10.1079/phn2002416.

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AbstractObjectives:To examine the association between socio-economic position (SEP) and diet, by assessing the unadjusted and simultaneously adjusted (independent) contributions of education, occupation and household income to food purchasing behaviourDesign:The sample was randomly selected using a stratified two-stage cluster design, and the response rate was 66.4%. Data were collected by face-to-face interview. Food purchasing was examined on the basis of three composite indices that reflected a household's choice of grocery items (including meat and chicken), fruit and vegetablesSetting:Bri

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Yasmina, Vizuete-Salazar, and Segura-Morales Marco. "Methods and Data Sources for Measuring Socio-Economic Factors: A Literature Review." Latin-American Journal of Computing 5, no. 1 (2018): 11–16. https://doi.org/10.5281/zenodo.5703518.

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The<strong> </strong>compiling of the population data, to establish its socioeconomic factors, is a high-cost task for governments and regulatory organizations due to the need for financial and human resources. This limitation makes it almost impossible to count on immediate updated socioeconomic population information. This article compiles a series of alternative data sources and methods that can be applied to reduce the costs and the time required to update such information. The review focus on how these sources and methods have been used in developing countries during time, highlighti

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Zhuravleva, Lyudmila, Elena Zarubina, and Aleksey Ruchkin. "Nutrition as a socio-economic institution." Agrarian Bulletin of the, no. 13 (January 29, 2021): 10–18. http://dx.doi.org/10.32417/1997-4868-2021-13-10-18.

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Abstract. Purpose. The article describes the economic component of routine eating behavior. Based on the ideas of the structural-functional paradigm and classical economic institutionalism, as well as the data of a sociological study conducted by the authors using the original methodology, the analysis of nutrition as a socio-economic institution that directly affects the distribution of resources and household costs is presented. Methods. To test the hypothesis of the formation of institutionally regulated food practices in modern society, the authors conducted a sociological study in Septemb

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