Bibliographies thématiques / Socio-economic data

Littérature scientifique sur le sujet « Socio-economic data »

Auteur : Grafiati
Publié le 10 mars 2023

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Articles de revues sur le sujet "Socio-economic data"

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Lypchuk, V. V., et О. M. Krupa. « Data Reduction in Socio-Economic Studies ». Statistics of Ukraine, no 1(76) (20 mars 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 as well as ways of their implementation. The study is based on methods of theoretical generalization, abstract and logic, analogy and others. The essence of data reduction is defined as the process of converting raw data into the pure form and reducing the number of units’ attributes (features), which are not significant to further analysis. In fact, this is part of the analysis involving selection of the data that are most important from the viewpoint of the study’s goals. The significance of data reduction in economic studies is outlined. It is found that it assures the validity of their results, reduces their time and costs, simplifies the representational complexity of the problem being addressed, eliminates the errors and redundant data from the investigated set, looses the requirements to calculation tools. The data resulting from reduction are much more informative. Many dependencies and relationships become more readable (visual). It is emphasized that reduction applies to the current data (on-line), as well as to historical data (off-line), contained in the already created databases. The phases of data reduction are described. They are: control of data collection, data editing, classification, data construction and grouping, coding and transmission (data transmission to the processing tools - computers). Data reduction techniques and methods most common in the global practice are shown. Future studies of data reduction problems are expected to focus on potential ways to implement its advanced methods in the domestic practice of statistical science. It will allow for enhancing significantly the speed and efficiency of economic analysis and the reliability of its results.
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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 et 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 (juin 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) (27 mai 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 et Jo Wood. « Rectangular Hierarchical Cartograms for Socio-Economic Data ». Journal of Maps 6, no 1 (janvier 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 et 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 (avril 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 separately. The missing data interpolation performance of variational Bayesian method is compared with that which is obtained by mean interpolation and K-nearest neighbor interpolation methods separately in MSE (Mean Square Error) and MAPE (Mean Absolute Percentage Error). The experimental results show that the proposed variational Bayesian method is better in MSE and MAPE.</p> <p>&nbsp;</p>
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Yun-Shan Sun, Yun-Shan Sun, Hong-Yan Xu Yun-Shan Sun et 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 (avril 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 separately. The missing data interpolation performance of variational Bayesian method is compared with that which is obtained by mean interpolation and K-nearest neighbor interpolation methods separately in MSE (Mean Square Error) and MAPE (Mean Absolute Percentage Error). The experimental results show that the proposed variational Bayesian method is better in MSE and MAPE.</p> <p>&nbsp;</p>
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Otto, Ilona M., Anne Biewald, Dim Coumou, Georg Feulner, Claudia Köhler, Thomas Nocke, Anders Blok et al. « Socio-economic data for global environmental change research ». Nature Climate Change 5, no 6 (21 mai 2015) : 503–6. http://dx.doi.org/10.1038/nclimate2593.

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

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Thèses sur le sujet "Socio-economic data"

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Jasmin, Jusufbegovic, et Ottoson Johan. « Understanding Suicide : A Socio-Economic Approach ». Thesis, Linköpings universitet, Institutionen för ekonomisk och industriell utveckling, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-70957.

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This thesis uses a panel of Swedish counties over the years 1976-2007 to investigate the relationship between suicide and a range of socio-economic determinants. Moreover, the thesis is combining sociology and economics in order to understand the part of suicide that can be considered as rational. In addition, suicide is studied separately for total, male and female suicide rates. Contrary to prior research in the field of suicide, this study formally tests for gender differences. Applying a fixed effect model, we managed to uncover a statistically significant gender difference for female labor force participation relation to suicide. When applying fixed effect models most of our results were in accordance with the socio-economic theory of suicide. We found a significant u-shaped relationship between suicide and the level of alcohol sales (consumption). We also found a statistically significant positive relationship between the total suicide rate and female labor force participation. Moreover, we found that higher population density significantly leads to fewer suicides in the total and male model. Furthermore, we found that unemployment increases the male suicide rate. In some cases, however our results contradicted the theory. Our results give evidence that divorce has a negative and significant effect on total and male suicide rate. These findings are not only violating the theoretical framework but previous research as well. We can thus conclude that the socio-economic theory of suicide, in most cases, assistances us to understand suicide.
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Adeel, Usman. « Socio-economic aware data forwarding in mobile sensing networks and systems ». Thesis, Imperial College London, 2014. http://hdl.handle.net/10044/1/25508.

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The vision for smart sustainable cities is one whereby urban sensing is core to optimising city operation which in turn improves citizen contentment. Wireless Sensor Networks are envisioned to become pervasive form of data collection and analysis for smart cities but deployment of millions of inter-connected sensors in a city can be cost-prohibitive. Given the ubiquity and ever-increasing capabilities of sensor-rich mobile devices, Wireless Sensor Networks with Mobile Phones (WSN-MP) provide a highly flexible and ready-made wireless infrastructure for future smart cities. In a WSN-MP, mobile phones not only generate the sensing data but also relay the data using cellular communication or short range opportunistic communication. The largest challenge here is the efficient transmission of potentially huge volumes of sensor data over sometimes meagre or faulty communications networks in a cost-effective way. This thesis investigates distributed data forwarding schemes in three types of WSN-MP: WSN with mobile sinks (WSN-MS), WSN with mobile relays (WSN-HR) and Mobile Phone Sensing Systems (MPSS). For these dynamic WSN-MP, realistic models are established and distributed algorithms are developed for efficient network performance including data routing and forwarding, sensing rate control and and pricing. This thesis also considered realistic urban sensing issues such as economic incentivisation and demonstrates how social network and mobility awareness improves data transmission. Through simulations and real testbed experiments, it is shown that proposed algorithms perform better than state-of-the-art schemes.
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Tindall, Nathaniel W. « Analyses of sustainability goals : Applying statistical models to socio-economic and environmental data ». Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/54259.

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This research investigates the environment and development issues of three stakeholders at multiple scales—global, national, regional, and local. Through the analysis of financial, social, and environmental metrics, the potential benefits and risks of each case study are estimated, and their implications are considered. In the first case study, the relationship of manufacturing and environmental performance is investigated. Over 700 facilities of a global manufacturer that produce 11 products on six continents were investigated to understand global variations and determinants of environmental performance. Water, energy, carbon dioxide emissions, and production data from these facilities were analyzed to assess environmental performance; the relationship of production composition at the individual firm and environmental performance were investigated. Location-independent environmental performance metrics were combined to provide both global and local measures of environmental performance. These models were extended to estimate future water use, energy use, and greenhouse gas emissions considering potential demand shifts. Natural resource depletion risks were investigated, and mitigation strategies related to vulnerabilities and exposure were discussed. The case study demonstrated how data from multiple facilities can be used to characterize the variability amongst facilities and to preview how changes in production may affect overall corporate environmental metrics. The developed framework adds a new approach to account for environmental performance and degradation as well as assess potential risk in locations where climate change may affect the availability of production resources (i.e., water and energy) and thus, is a tool for understanding risk and maintaining competitive advantage. The second case study was designed to address the issue of delivering affordable and sustainable energy. Energy pricing was evaluated by modeling individual energy consumption behaviors. This analysis simulated a heterogeneous set of residential households in both the urban and rural environments in order to understand demand shifts in the residential energy end-use sector due to the effects of electricity pricing. An agent-based model (ABM) was created to investigate the interactions of energy policy and individual household behaviors; the model incorporated empirical data on beliefs and perceptions of energy. The environmental beliefs, energy pricing grievances, and social networking dynamics were integrated into the ABM model structure. This model projected the aggregate residential sector electricity demand throughout the 30-year time period as well as distinguished the respective number of households who only use electricity, that use solely rely on indigenous fuels, and that incorporate both indigenous fuels and electricity. The model is one of the first characterizations of household electricity demand response and fuel transitions related to energy pricing at the individual household level, and is one of the first approaches to evaluating consumer grievance and rioting response to energy service delivery. The model framework is suggested as an innovative tool for energy policy analysis and can easily be revised to assist policy makers in other developing countries. In the final case study, a framework was developed for a broad cost-benefit and greenhouse gas evaluation of transit systems and their associated developments. A case study was developed of the Atlanta BeltLine. The net greenhouse gas emissions from the BeltLine light rail system will depend on the energy efficiency of the streetcars themselves, the greenhouse gas emissions from the electricity used to power the streetcars, the extent to which people use the BeltLine instead of driving personal vehicles, and the efficiency of their vehicles. The effects of ridership, residential densities, and housing mix on environmental performance were investigated and were used to estimate the overall system efficacy. The range of the net present value of this system was estimated considering health, congestion, per capita greenhouse gas emissions, and societal costs and benefits on a time-varying scale as well as considering the construction and operational costs. The 95% confidence interval was found with a range bounded by a potential loss of $860 million and a benefit of $2.3 billion; the mean net present value was $610 million. It is estimated that the system will generate a savings of $220 per ton of emitted CO2 with a 95% confidence interval bounded by a potential social cost of $86 cost per ton CO2 and a savings of $595 per ton CO2.
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Haile, Getinet Astatike. « The adjustment costs of job displacement : evidence based on the German Socio-Economic Panel (GSOEP) data ». Thesis, University of Nottingham, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.410430.

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Doll, Christopher Nicholas Hideo. « Understanding the information content of night-time satellite data for modelling socio-economic dimensions of global change ». Thesis, University College London (University of London), 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.407332.

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Zsigovics, Gabor. « Derivation of biophysical variables from fine resolution imagery for co-processing with socio-economic data in an urban area ». Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0021/MQ53459.pdf.

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Nelson, Andrew Darren. « The spatial analysis of socio-economic and agricultural data across geographic scales : examples and applications in Honduras and elsewhere ». Thesis, University of Leeds, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.405809.

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Evangelou, Alexandros. « Demographic and socio-economic characteristics of immigrant population in Greece (1991-2011) : Comparisons from census data and vital statistics ». Thesis, Stockholms universitet, Sociologiska institutionen, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-171457.

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Immigrant flows in Greece after 1990 transformed Greece from a country of outwards migration to an inwards migration state. The contribution of immigrants in a globalized world of migration with sub-replacement fertility levels found in developed countries is a particularly interesting topic in demographic studies. The primary aim of this thesis is to discuss the changes of the demographic and socio-economic characteristics of immigrant population in Greece focusing on Albanian and Bulgarian immigrants. In order to answer these research questions, data from the last three national population census of 1991, 2001 and 2011 as well as vital statistics for European and non-European immigrants’ fertility in Greece have been used. The analysis is based on descriptive statistics for the differential age structure of Greek population and immigrant groups. Reasons for immigration to Greece, educational attainment of immigrants, rates of unemployment and employment status of immigrant population have been used to approach the research questions. The results indicated a younger age structure of Albanian and Bulgarian immigrant population. Meanwhile, immigrant population appears to have higher unemployment rates compared to native Greek population. Finally, a substantial decline of general fertility rates for non-European immigrant women in Greece compared to native Greek women has been observed within the years of the economic recession.
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Primerano, Ilaria. « A symbolic data analysis approach to explore the relation between governance and performance in the Italian industrial districs ». Doctoral thesis, Universita degli studi di Salerno, 2016. http://hdl.handle.net/10556/2179.

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2013 - 2014
Nowadays, complex phenomena need to bee analyzed through appropriate statistical methods that allow considering the knowledge hidden behind the classical data structure... [edited by author]
XIII n.s.
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Olsén, Ingefeldt Niclas. « The determinants of voter turnout in OECD : An aggregated cross-national study using panel data ». Thesis, Uppsala universitet, Statistiska institutionen, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-295468.

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This paper examines in a descriptive manner how two groups of variables, institutional and socio-economic, correlate with voter turnout respectively and if their magnitude have changed over time in OECD countries. Previous research is often based on data from the 70’s and 80’s. Since then, voter turnout in democratic countries has decreased and more citizens do not use their fundamental democratic right of being involved in the process of choosing their representatives. To answer the paper hypotheses i.e. analyzing what factors that correlates with voter turnout, panel data between 1980 and 2012 are used which is estimated by an OLS approach. The outcome of the empirical estimations indicates that 13 out of 19 variables have a significant relationship with turnout. Most of the variables magnitudes are a bit lower than previous literature. From the time sensitivity analysis the result indicates that voters are less influenced by the significant variables that focus on the voting cost. It seems that voters in the 21st century meet voting costs in different manner than previously.
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Livres sur le sujet "Socio-economic data"

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Joyce, Malaba, Chiwara Solomon et SAPES Trust, dir. SADC socio-economic data series. Mount Pleasant, Harare, Zimbabwe : SAPES Trust, 2001.

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H, Anders, Dobson C, Ontario. Ministry of Transportation and Communications. Land Use Analysis Section et Ontario. Ministry of Transportation and Communications. Policy Planning Branch, dir. 1984 regional socio-economic data review. [Toronto] : Ontario Ministry of Government Services, 1986.

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Bonzon, Alain. Socio-economic data base on African fisheries. Rome : Food and Agriculture Organization, 1988.

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Bonzon, Alain. Socio-economic data base on African fisheries. Rome : Food and Agriculture Organization, 1989.

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National Institute of Statistics (Cambodia). Cambodia socio-economic survey, 1999 : Data files. Phnom Penh, Cambodia : National Institute of Statistics, Ministry of Planning, 2003.

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Gyekye, L. O. Socio-economic classification and coding manual for Ghana. Legon : Institute of Statistical, Social, and Economic Research, University Of Ghana, 1985.

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Assessment and socio-economic aspects of geographic information infrastructures : Proceedings of the Workshop on Assessment and Socio-economic Aspects of Geographic Information Infrastructures. Delft : NCG, Nederlandse Commissie voor Geodesie, 2008.

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Kimio, Uno, et Shishido Shuntarō 1924-, dir. Statistical data bank systems : Socio-economic database and model building in Japan. Amsterdam : North-Holland, 1988.

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Tillo, Gomez Ma Norma. An analysis of population and other socio-economic data for Region XII. [Cotabato City] : Socio-Economic Research Center, Notre Dame University, 1992.

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(Zambia), Participatory Assessment Group, dir. Baseline data survey feeder roads, report : Key performance indicators and socio-economic indicators. [Lusaka] : Participatory Assessment Group, 1997.

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Chapitres de livres sur le sujet "Socio-economic data"

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Winkler, Othmar W. « Developments in Socio-Economic Statistics ». Dans Interpreting Economic and Social Data, 1–18. Berlin, Heidelberg : Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-68721-4_1.

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Winkler, Othmar W. « Socio-Economic Statistics and Probability ». Dans Interpreting Economic and Social Data, 185–207. Berlin, Heidelberg : Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-68721-4_10.

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Winkler, Othmar W. « Socio-Economic Statistics and Geography ». Dans Interpreting Economic and Social Data, 219–28. Berlin, Heidelberg : Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-68721-4_12.

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Tsygichko, Vitaliy Nikolaevich. « Stratification Languages of Socio-economic Systems ». Dans Data Science and Algorithms in Systems, 220–35. Cham : Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-21438-7_19.

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Buldas, Ahto, Dirk Draheim, Takehiko Nagumo et Anton Vedeshin. « Blockchain Technology : Intrinsic Technological and Socio-Economic Barriers ». Dans Future Data and Security Engineering, 3–27. Cham : Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63924-2_1.

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Winkler, Othmar W. « From the Facts in Society to Socio-Economic Data ». Dans Interpreting Economic and Social Data, 19–33. Berlin, Heidelberg : Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-68721-4_2.

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Winkler, Othmar W. « Structure and Nature of Socio-Economic Data : The Aggregates ». Dans Interpreting Economic and Social Data, 35–49. Berlin, Heidelberg : Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-68721-4_3.

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Biorci, Grazia, Antonella Emina, Michelangelo Puliga, Lisa Sella et Gianna Vivaldo. « Tweet-Tales : Moods of Socio-Economic Crisis ? » Dans Studies in Classification, Data Analysis, and Knowledge Organization, 205–13. Cham : Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55477-8_19.

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Azarkhin, A. V., S. V. Ivanova et N. V. Romanova. « Issues on “Big Data” and Personal Data Correlation and Differentiation ». Dans Digital Technologies in the New Socio-Economic Reality, 3–8. Cham : Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-83175-2_1.

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Kot, M. K. « «Big Data» in Labor Relations ». Dans Digital Technologies in the New Socio-Economic Reality, 89–94. Cham : Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-83175-2_13.

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Actes de conférences sur le sujet "Socio-economic data"

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Shaw, Fiona. « The benefits of geospatial data for the insurance industry ». Dans 2012 Socio-economic Benefits Workshop. IEEE, 2012. http://dx.doi.org/10.1109/sebw.2012.6292286.

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« Introduction to geospatial and remote sensing data from NASA space systems ». Dans 2012 Socio-economic Benefits Workshop. IEEE, 2012. http://dx.doi.org/10.1109/sebw.2012.6292268.

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Mukkamala, Raghava Rao, Ravi Vatrapu, Pradeep Kumar Ray, Gora Sengupta et Sankar Halder. « Converging Blockchain and Social Business for Socio-Economic Development ». Dans 2018 IEEE International Conference on Big Data (Big Data). IEEE, 2018. http://dx.doi.org/10.1109/bigdata.2018.8622238.

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Macauley, Molly K. « “Valuing” ; applications of earth science data : Answering the “is it worth it” ; question ». Dans 2012 Socio-economic Benefits Workshop. IEEE, 2012. http://dx.doi.org/10.1109/sebw.2012.6292267.

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Solano, Pablo Casais, et Antonio Jose Reinoso Peinado. « Socio-economic factors in cybercrime : Statistical study of the relation between socio-economic factors and cybercrime ». Dans 2017 International Conference on Cyber-Situational Awareness, Data Analytics and Assessment (Cyber SA). IEEE, 2017. http://dx.doi.org/10.1109/cybersa.2017.8073392.

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Stackhouse, Paul, William Chandler, James M. Hoell, David Westberg, Taiping Zhang et Charles Whitlock. « Assessing the socio-economic value of NASA gridded long-term and near-term data sets for the energy sector and other uses ». Dans 2012 Socio-economic Benefits Workshop. IEEE, 2012. http://dx.doi.org/10.1109/sebw.2012.6292273.

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Xu, Chi, Yan Pan, Lixiang Guo, Xin Zhang et Yinsen Wang. « Question Answering-based Socio-economic Indicator Extraction ». Dans 2021 7th International Conference on Big Data and Information Analytics (BigDIA). IEEE, 2021. http://dx.doi.org/10.1109/bigdia53151.2021.9619686.

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« Workshop : Socioeconomic benefits of geospatial data & ; earth observations ». Dans 2012 Socio-economic Benefits Workshop : Defining, Measuring and Communicating the Socio-economic Benefits of Geospatial Information. IEEE, 2012. http://dx.doi.org/10.1109/sebw.2012.6292289.

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Froidevaux, Alice, Joao Macalos, Inès Khalfoun, Mathilde Deffrasnes, Stanislas d’Orsetti, Nicolas Salez et Amélie Sciberras. « Leveraging alternative data sources for socio-economic nowcasting ». Dans GoodIT 2022 : ACM International Conference on Information Technology for Social Good. New York, NY, USA : ACM, 2022. http://dx.doi.org/10.1145/3524458.3547253.

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Dzhalolov, Ahmad Sh, Tatyana I. Buldakova et Andrey Proletarsky. « Socio-Economic Decision Support Module by Unstructured Data ». Dans 2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus). IEEE, 2020. http://dx.doi.org/10.1109/eiconrus49466.2020.9039086.

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Rapports d'organisations sur le sujet "Socio-economic data"

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Ford, Kevin, et Jon Fricker. Real-Time Socio-Economic Data for Travel Demand Modeling and Project Evaluation. West Lafayette, Indiana : Purdue University, 2009. http://dx.doi.org/10.5703/1288284314314.

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Billing, Suzannah-Lynn, Shannon Anderson, Andrew Parker, Martin Eichhorn, Lindsay Louise Vare et Emily Thomson. Scottish Inshore Fisheries Integrated Data System (SIFIDS) : work package 4 final report assessment of socio-economic and cultural characteristics of Scottish inshore fisheries. Sous la direction de Mark James et Hannah Ladd-Jones. Marine Alliance for Science and Technology for Scotland (MASTS), 2018. http://dx.doi.org/10.15664/10023.23450.

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[Extract from Executive Summary] The European Maritime and Fisheries Fund (EMFF) has funded the ‘Scottish Inshore Fisheries Integrated Data System’ (SIFIDS) project, which aims to integrate data collection and analysis for the Scottish inshore fishing industry. SIFIDS Work Package 4 was tasked with assessing the socio-economic and cultural characteristics of Scottish Inshore Fisheries. The aim was to develop replicable frameworks for collecting and analysing cultural data in combination with defining and analysing already available socio-economic datasets. An overview of the current available socio-economic data is presented and used to identify the data gaps. Primary socio-economic and cultural research was conducted to fill these gaps in order to capture complex cultural, social and economic relationships in a usable and useful manner. Some of the results from this Work Package will be incorporated into the platform that SIFIDS Work Package 6 is building. All primary research conducted within this work package followed the University of the Highlands and Islands (UHI) Research Ethics Framework and was granted Ethical Approval by the UHI Research Ethics Committee under code ETH895.
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Hart, Tim, Mary Wickenden, Stephen Thompson, Yul Derek Davids, Gary Pienaar, Mercy Ngungu, Yamkela Majikijela et al. Socio-Economic Wellbeing and Human Rights-Related Experiences of People with Disabilities in Covid-19 Times in South Africa. Institute of Development Studies (IDS), janvier 2022. http://dx.doi.org/10.19088/ids.2022.013.

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During the early months of the global pandemic the international Disability Rights Monitor group survey illustrated the circumstances of persons with disabilities around the world. Gradually literature on the situation for persons with disabilities in sub-Saharan Africa started to emerge. As members of an informal network looking at issues affecting this group, some of the authors of this report realised that much of the research done was not specifically focusing on their perceptions during the pandemic and that it was not using the WG-SS questions. Having noticed a gap in the type of data being collected by other scholars and the media, this small informal network identified a need for a survey that would look at both experiences and perceptions of persons with disabilities focussing on lived experiences of socioeconomic impacts and access to human rights during the pandemic in South Africa. This report summarises some of the key findings of the study, which was conducted on-line using Google Forms from the 1 July to 31 August 2021. All percentages displayed are rounded to the nearest percent and this may affect what is displayed in charts. While we cite some literature in this report, a separate literature review was written by the team, and was used to guide the research and focus the questions.
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Mendo, Tania, Sophie Smout, Johanna Ransijn, Ian Durbach, Paddy McCann, Swithun Crowe, Ariadna Carulla Fàbrega, Irene de Prado et Mark James. Scottish Inshore Fisheries Integrated Data System (SIFIDS) : work package 8B final report identifying fishing activities and their associated drivers. Sous la direction de Hannah Ladd-Jones. Marine Alliance for Science and Technology for Scotland (MASTS), 2019. http://dx.doi.org/10.15664/10023.23463.

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[Extract from Executive Summary] This Work Package (WP8B) of the SIFIDS project focused on vessels that are 12 m or under in length, use static gear (pots or creels), and primarily target lobsters (Homarus gammarus), crabs (Cancer pagurus and Necora puber), and prawns (Nephrops norvegicus). WP8B had two principal objectives: 1. Identify fishing activity profiles for static gear vessels in the inshore fleet prosecuting lobsters, crabs and nephrops. 2. Incorporate effort, biological data, socio-economic data, environmental data to understand fishing behaviour
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AFANASYEVA, JU, S. GURIEVA et M. KHUDALOVA. COPING STRATEGIES OF BOYS AND GIRLS IN A SITUATION OF ECONOMIC STRESS. Science and Innovation Center Publishing House, 2021. http://dx.doi.org/10.12731/2658-4034-2021-12-4-2-320-328.

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The article is devoted to the analysis of coping strategies of young people in the situation of unemployment caused by the economic crisis. It is described that the ways of overcoming the economic crisis among young people with different unemployment experience differ significantly in terms of the parameters of a well-thought-out job search, the expansion of social ties, the availability of help from relatives, the indicator of mental tension and unreliability. The obtained data can be used to develop adequate and effective forms of socio-psychological assistance and support for the unemployed for their further employment.
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Oppel, Annalena. Beyond Informal Social Protection – Personal Networks of Economic Support in Namibia. Institute of Development Studies (IDS), novembre 2020. http://dx.doi.org/10.19088/ids.2020.002.

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This paper poses a different lens on informal social protection (ISP). ISP is generally understood as practices of livelihood support among individuals. While studies have explored the social dynamics of such, they rarely do so beyond the conceptual space of informalities and poverty. For instance, they discuss aspects of inclusion, incentives and disincentives, efficiency and adequacy. This provides important insights on whether and to what extent these practices provide livelihood support and for whom. However, doing so in part disregards the socio-political context within which support practices take place. This paper therefore introduces the lens of between-group inequality through the Black Tax narrative. It draws on unique mixed method data of 205 personal support networks of Namibian adults. The results show how understanding these practices beyond the lens of informal social protection can provide important insights on how economic inequality resonates in support relationships, which in turn can play a part in reproducing the inequalities to which they respond.
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Geloso, Vincent, et Chandler S. Reilly. Did the ‘Quiet Revolution’ Really Change Anything ? CIRANO, décembre 2022. http://dx.doi.org/10.54932/itzr4537.

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The year 1960 is often presented as a break year in the economic history of Quebec and Canada. It is used to mark the beginning of the “Quiet Revolution” during which Canada’s French-speaking province of Quebec under rapid socio-economic change in the form of rapid economic convergence with the rest of Canada and the emergence of a more expansive state. Using synthetic control methods, we analyze whether 1960 is associated with a departure from previous developments. With regards to GDP per capita, GDP per worker, household-size adjusted income, life expectancy at birth, and enrollment rates in primary and secondary schools, we find that 1960 was not an important date. For most of these measures, the counterfactual scenario is slightly better than the actual data but not by significant margins. Only with respect to the size of government do we find sign of a break.
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Matsuo, Hideko, et Koen Matthijs. The life course and subjective well-being across generations – an analysis based on cross-national surveys (2002–2016). Verlag der Österreichischen Akademie der Wissenschaften, juillet 2021. http://dx.doi.org/10.1553/populationyearbook2021.res4.2.

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This paper identifies subjective well-being trajectories through happiness measures as influenced by time, socio-economic, demographic and behavioural determinants. Hierarchical age-period-cohort models are applied to European Social Survey (2002–2016) data on the population aged 30 and older in 10 countries. A U-shaped relationship between age and happiness is found for some countries, but a rather flat pattern and considerable diversity beyond age 80 are detected for other countries. Lower happiness levels are found for baby boomers (1945–1964) than for preboomers and post-boomers, and also for late boomers (1955–1964) than for early boomers (1945–1954). Women, highly educated and native people are shown to have higher happiness levels than men, less educated and non-native people, respectively. Moreover, a positive assessment of income, having a partner, and being a parent, in good health, employed and socially active are all found to have a positive impact on happiness levels. We find evidence of gaps in happiness levels due to differences in socio-economic characteristics over the life course in some, but not in all of the countries analysed.
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Kim, Changmo, Ghazan Khan, Brent Nguyen et Emily L. Hoang. Development of a Statistical Model to Predict Materials’ Unit Prices for Future Maintenance and Rehabilitation in Highway Life Cycle Cost Analysis. Mineta Transportation Institute, décembre 2020. http://dx.doi.org/10.31979/mti.2020.1806.

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The main objectives of this study are to investigate the trends in primary pavement materials’ unit price over time and to develop statistical models and guidelines for using predictive unit prices of pavement materials instead of uniform unit prices in life cycle cost analysis (LCCA) for future maintenance and rehabilitation (M&R) projects. Various socio-economic data were collected for the past 20 years (1997–2018) in California, including oil price, population, government expenditure in transportation, vehicle registration, and other key variables, in order to identify factors affecting pavement materials’ unit price. Additionally, the unit price records of the popular pavement materials were categorized by project size (small, medium, large, and extra-large). The critical variables were chosen after identifying their correlations, and the future values of each variable were predicted through time-series analysis. Multiple regression models using selected socio-economic variables were developed to predict the future values of pavement materials’ unit price. A case study was used to compare the results between the uniform unit prices in the current LCCA procedures and the unit prices predicted in this study. In LCCA, long-term prediction involves uncertainties due to unexpected economic trends and industrial demand and supply conditions. Economic recessions and a global pandemic are examples of unexpected events which can have a significant influence on variations in material unit prices and project costs. Nevertheless, the data-driven scientific approach as described in this research reduces risk caused by such uncertainties and enables reasonable predictions for the future. The statistical models developed to predict the future unit prices of the pavement materials through this research can be implemented to enhance the current LCCA procedure and predict more realistic unit prices and project costs for the future M&R activities, thus promoting the most cost-effective alternative in LCCA.
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Bouezmarni, Taoufik, Mohamed Doukali et Abderrahim Taamouti. Copula-based estimation of health concentration curves with an application to COVID-19. CIRANO, 2022. http://dx.doi.org/10.54932/mtkj3339.

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COVID-19 has created an unprecedented global health crisis that caused millions of infections and deaths worldwide. Many, however, argue that pre-existing social inequalities have led to inequalities in infection and death rates across social classes, with the most-deprived classes are worst hit. In this paper, we derive semi/non-parametric estimators of Health Concentration Curve (HC) that can quantify inequalities in COVID-19 infections and deaths and help identify the social classes that are most at risk of infection and dying from the virus. We express HC in terms of copula function that we use to build our estimators of HC. For the semi-parametric estimator, a parametric copula is used to model the dependence between health and socio-economic variables. The copula function is estimated using maximum pseudo-likelihood estimator after replacing the cumulative distribution of health variable by its empirical analogue. For the non-parametric estimator, we replace the copula function by a Bernstein copula estimator. Furthermore, we use the above estimators of HC to derive copula-based estimators of health Gini coeffcient. We establish the consistency and the asymptotic normality of HC’s estimators. Using different data-generating processes and sample sizes, a Monte-Carlo simulation exercise shows that the semiparametric estimator outperforms the smoothed nonparametric estimator, and that the latter does better than the empirical estimator in terms of Integrated Mean Squared Error. Finally, we run an extensive empirical study to illustrate the importance of HC’s estimators for investigating inequality in COVID-19 infections and deaths in the U.S. The empirical results show that the inequalities in state’s socio-economic variables like poverty, race/ethnicity, and economic prosperity are behind the observed inequalities in the U.S.’s COVID-19 infections and deaths.
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