Relevant bibliographies by topics / Equality – Economic aspects – Econometric models

Academic literature on the topic 'Equality – Economic aspects – Econometric models'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Equality – Economic aspects – Econometric models"

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Diachkova, Anna V., and Anna E. Kontoboitseva. "Economic Benefits of gender equality: comparing EU and BRICS countries." Economic Consultant 37, no. 1 (March 1, 2022): 4–15. http://dx.doi.org/10.46224/ecoc.2022.1.1.

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Introduction. In the modern economy the problems of scientific analysis shift the focus from the subject area of gender inequality to gender equality, and special significance is attached to assessing the impact of gender on the social welfare. At the same time, it is noted that developed and developing countries currently have differences in the quality and quantity of goals achieved to address the issue of gender equality. The aim of the article is to assess the economic benefits of gender equality for a group of countries in the European Union and BRICS. Materials and methods. Empirical analysis was based on the construction of regression econometric models that assess the impact on the welfare of the country (GDP) of gender equality in combination with basic macroeconomic factors. Fixed effects regression models have the best descriptive capacity for the EU and BRICS countries, which was verified by standard econometric tests. The information base of the study was made up of official statistics from the reports of the World Bank, the World Economic Forum, the International Monetary Fund, and the United Nations. Results and Discussion. As a result of the study, it was revealed that the level of gender equality has a positive effect on the economic development of both the EU countries and the BRICS; a comparison of the results of the constructed econometric models for groups of EU and BRICS countries showed that gender equality has a statistically significant impact on the economic development of countries in each group, and in the BRICS countries it is stronger, so with an increase in gender equality by one, GDP per capita increases by 3.4172 vs. 0.4647 in EU countries. The inclusion of key socio-economic indicators in the analysis made it possible to compare the obtained impact, and it was found that the degree of influence of the equality index is not lower than the degree of influence of basic economic indicators. That increases the importance of this problem both at the level of the country and international associations. The conclusions obtained based on the analysis of macro statistics confirmed the conclusions of the researchers based on microeconomic data. Conclusions. The results of this study are aimed at understanding the problems of gender equality, its impact on the economic well-being of society, both in an individual country and in the world economy as a whole, which can be taken into account in designing the policy of the state and companies that together ensure progress in the development of equality between men and women.
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Palant, Oleksii Yuriiovych, Hanna Volodymyrivna Ortina, and Marharyta Mykolaivna Kucher. "STATISTICAL ASSESSMENT OF SOCIO-ECONOMIC DETERMINATION OF CRIME IN UKRAINE." SCIENTIFIC BULLETIN OF POLISSIA, no. 4(16) (2018): 14–20. http://dx.doi.org/10.25140/2410-9576-2018-4(16)-14-20.

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The problem of analyzing the socio-economic determination of crime based on the use of econometric models has been studied, the correlation-regression models have been adapted, the applied aspects of the constructed regression equation to solve the problems of crime determination analysis have been considered
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Mohammadi, Hosein, Samira Shayanmehr, and Juan D. Borrero. "Does Freedom Matter for Sustainable Economic Development? New Evidence from Spatial Econometric Analysis." Mathematics 11, no. 1 (December 28, 2022): 145. http://dx.doi.org/10.3390/math11010145.

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Achieving sustainable economic development is always considered one of the main economic goals of countries. Therefore, researchers are interested in presenting new econometric models for more accurate identification of factors affecting economic growth. The current study evaluates the impact of various aspects of freedom (economic freedom, press freedom, civil freedom, and political rights) and an aggregated freedom index on economic growth in European countries from 2000 to 2019 using spatial panel econometric techniques. In addition, the effects of variables such as FDI, financial development (FD), human capital (HC), and capital stock on economic growth are examined. The findings of this research confirm the existence of spatial autocorrelation in economic growth. The results reveal that civil liberties, economic and press freedom, and aggregated freedom boost economic growth, whereas political rights have no significant effect on economic growth. Furthermore, the econometric model results indicate that FDI, FD, HC, and capital stock are positively and significantly associated with economic growth. This research is expected to provide policymakers with a thorough understanding of how to implement the best policies in European countries to achieve sustainable economic development.
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Stavytskyy, Andriy, and Daria Martynovych. "THE ECONOMETRIC MODELING OF UKRAINIAN MACROECONOMIC TENDENCIES." Ekonomika 91, no. 1 (January 1, 2012): 79–92. http://dx.doi.org/10.15388/ekon.2012.0.906.

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Econometric models are widely used in economic policies of many states. They help to build a great variety of econometric systems for every country and take into account the specifics of each economy.In this article, the structural macroeconomic models that describe the main aspects of the economic policy were applied. The interdependence between the level of inflation, the value of investment, savings, consumption, export and import transactions, taxes on the foreign trade were defined based on the analysis of the key macroeconomic parameters of Ukraine. After investigating all economic indicators, they were transformed into stationary time series for a correct use in the model. In addition, heteroscedasticity and autocorrelation of residuals were excluded in all econometric equations.As a result, the research shows that a large share of black economy leads to a rather high level of inflation in the state, because its value is primarily determined by expectations of the population under such circumstances. The paper indicates that the further export growth leads to a lower consumption growth and also to a lower growth of savings. Such a situation indicates an insufficient development of the domestic market. Investment growth has been fund not to be directly linked to consumption increase and economic development in general. Unfortunately, the main sources of investment in Ukraine are the funds of enterprises and foreign sources. The analysis shows a need to encourage public involvement into investment processes. For example, the creation of public–private partnerships is especially useful while implementing infrastructural projects.
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Wong, Wing-Keung. "Review on behavioral economics and behavioral finance." Studies in Economics and Finance 37, no. 4 (June 19, 2020): 625–72. http://dx.doi.org/10.1108/sef-10-2019-0393.

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Purpose This paper aims to give a brief review on behavioral economics and behavioral finance and discusses some of the previous research on agents' utility functions, applicable risk measures, diversification strategies and portfolio optimization. Design/methodology/approach The authors also cover related disciplines such as trading rules, contagion and various econometric aspects. Findings While scholars could first develop theoretical models in behavioral economics and behavioral finance, they subsequently may develop corresponding statistical and econometric models, this finally includes simulation studies to examine whether the estimators or statistics have good power and size. This all helps us to better understand financial and economic decision-making from a descriptive standpoint. Originality/value The research paper is original.
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Tarasova, Tatyana Alexandrovna, Evgeniya Vitalievna Ivashchenko, and Irina Evgenievna Ovsyannikova. "Echnology of orientation of the applied use of the logarithmic function in econometric models of production activity." KANT 39, no. 2 (June 15, 2021): 418–23. http://dx.doi.org/10.24923/2222-243x.2021-39.73.

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The purpose of the study is to show the use of the logarithmic function in mathematical statistics, using the example of the Cobb-Douglas production function, and to introduce students to the content of individual concepts and formulas of econometric modeling. The contents of individual concepts and formulas based on econometric modeling are disclosed in order to teach students the ability to model and calculate some aspects of production activity, evaluate the correctness of the research procedure, master subject terminology and additional knowledge of economic orientation. The scientific novelty lies in the construction of a regression mathematical model describing the dependence of demand Y on price or income X, for seven regions of the Krasnodar Territory. As a result, the technology of the orientation of the applied.
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Formánek, Tomáš, and Roman Hušek. "Spatial Aspects Of Unemployment In The Visegrad-Group Economies." Creative and Knowledge Society 6, no. 2 (December 1, 2016): 1–12. http://dx.doi.org/10.1515/cks-2016-0007.

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Abstract Purpose of the article: Most regional macroeconomic processes may not be adequately analyzed without accounting for their spatial nature: regional distances, interactions between neighbors, spill-over effects and interdependencies. This contribution focuses on various factors ruling unemployment dynamics in the Visegrad Group countries and their major economic partners: Germany and Austria. The analysis is performed at the NUTS2 level. Methodology/methods: Spatial econometrics is a unique tool for a broad range of quantitative analyses and evaluations. Spatial econometric models are based on geo-coded (spatially defined) data. Spatial econometrics and regional competitiveness paradigms are combined into different types of regression model specifications describing unemployment dynamics. Alternative spatial structures (i.e. neighbor definitions) are used for verification of stability in estimated model properties. Scientific aim: We aim to provide a detailed empirical evaluation of spatially determined factors of regional unemployment dynamics, along with insight into the robustness of such approach. Both conceptually and parametrically varying neighbor definitions are used to provide evidence for model evaluation. Findings: We find strong positive spatial dependence patterns in the estimated models, robust against varying neighborhood definitions. Our results strongly support the importance of regional and potentially cross-border (international) cooperation in macroeconomic policies addressing unemployment. The estimated models also underline the importance of using spatial models, by pointing out the bias in OLS-estimated models. Conclusions and limits: Spatial approach to econometric analysis provides important insight and robustness to a broad range of unemployment analyses that may be carried out using regional (spatial) data. At the same time, it should be noted that this article focuses mostly on the spatial and stability aspects of model estimation, while leaving out other interesting topics such as spill-over effects calculations as based on estimated models. Also, estimations provided in this article might benefit from spatial panel data-based methods - once data availability issues are sorted.
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Tkach, E. S., M. A. Firsova, and D. A. Fedotov. "Assessment of the Impact of Local Budgets on Regional Human Capital:Historical and Contemporary Aspects." Economy of regions 18, no. 1 (2022): 237–51. http://dx.doi.org/10.17059/ekon.reg.2022-1-17.

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Considering the need for sustainable human capital development in Russia, as well as interdisciplinary research challenges, the present study examines historical and contemporary aspects of the impact of the budget on regional human capital. For this purpose, budgetary mechanisms implemented in the period from 1969 to 2020 were retrospectively analysed. Based on archival materials and data from statistical collections of the Soviet period, the dynamics and structure of budget revenues and expenditures in the 1970s were compared with those in the period from 2000 to 2017. A quantitative assessment was performed to test a hypothesis about a relationship between the volume of social budget expenditures and increase in the return on human capital in the form of tax revenues to the budget. The study employed methods of comparative, structural, correlation and econometric analysis and statistical grouping. Constructed econometric models demonstrated the nature and degree of influence of various social expenditures on the resulting indicator of human capital development. Then, comparative analysis was conducted to interpret the econometric modelling results and data on the state of local budgets in the Soviet and post-Soviet period. Taking into account the established relationship between social expenditures and the indicator of human capital development, public authorities can most efficiently allocate budget funds, ensuring the maximum socio-economic effect from their investment. The research findings can be used for creating socio-economic development strategies of particular regions, as well as for comparing their social development in the historical and geographical context. In this regard, future studies can systematically assess the impact of local budgets of the largest Russian regions on the resulting indicators of human capital.
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Jagrič, Timotej, Dušan Fister, and Vita Jagrič. "Reshaping the Healthcare Sector with Economic Policy Measures Based on COVID-19 Epidemic Severity: A Global Study." Healthcare 10, no. 2 (February 7, 2022): 315. http://dx.doi.org/10.3390/healthcare10020315.

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Governments around the world are looking for ways to manage economic consequences of COVID-19 and promote economic development. The aim of this study is to identify the areas where the application of economic policy measures would enhance the resilience of societies on epidemic risks. We use data on the COVID-19 pandemic outcome in a large number of countries. With the estimation of multiple econometric models, we identify areas being a reasonable choice for economic policy intervention. It was found that viable remediation actions worth taking can be identified either for long-, mid-, or short-term horizons, impacting the equality, healthcare sector, and national economy characteristics. We suggest encouraging research and development based on innovative technologies linked to industries in healthcare, pharmaceutical, and biotech, promoting transformation of healthcare systems based on new technologies, providing access to quality healthcare, promoting public healthcare providers, and investing in the development of regional healthcare infrastructure, as a tool of equal regional development based on economic assessment. Further, a central element of this study, i.e. the innovative identification matrix, could be populated as a unique policy framework, either for latest pandemic or any similar outbreaks in future.
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Karpenko, Elena, and Kristina Shestakova. "Management of industrial development of the country: theoretical aspects and tools." University Economic Bulletin, no. 49 (May 22, 2021): 81–87. http://dx.doi.org/10.31470/2306-546x-2021-49-81-87.

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The relevance of the research topic is substantiated by the revival of the world community's interest in industry as a driver of economic development. The problem is that industrial development has a number of limitations as a result of imbalances between the resource potential of the economic system, its institutional structure and the dominant technical and economic paradigm, which require the development of special management tools. An analysis of recent publications shows the presence of scientific interest in the search for the relationship between the content of industrial policy, which serves as a tool for managing the country's industrial development, and the level of industrial and economic development in terms of creating certain economic conditions for its formation and implementation. However, the issues of scientific substantiation of the use of specific instruments of the country's economic policy for economic systems of various levels of industrial development are insufficiently studied. The purpose of the study is to determine and substantiate the factors of scientific and technical, foreign economic, financial and monetary spheres, influencing which it is possible to manage the industrial development of the country through the formation of a favorable environment for the implementation of industrial policy. The research methods used in the work are comparison, grouping, correlation-regression analysis, econometric modeling, systematic approach. Results of work. Within the framework of this study, on the basis of the constructed econometric models, the factors of foreign economic, scientific, technical and monetary policy were identified, which form favorable conditions for the implementation of industrial policy. The factors were differentiated for countries with different levels of industrial development. The field of application of the research results is the state policy aimed at stimulating industrial development. Conclusions. The work establishes the priority influence of monetary policy factors at a degree of industrialization from 0 to 1; monetary and scientific and technical policy with a degree of industrialization from 1 to 15; factors of all types are important if the degree of industrialization is higher than 15. Taking into account the above factors when developing the content of the national industrial policy will contribute to: achieving the goals in the field of industrial development, reducing the risks of negative effects from government intervention in industrial production, predicting the consequences of adopting certain economic solutions.
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Dissertations / Theses on the topic "Equality – Economic aspects – Econometric models"

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Enzinger, Sharn Emma 1973. "The economic impact of greenhouse policy upon the Australian electricity industry : an applied general equilibrium analysis." Monash University, Centre of Policy Studies, 2001. http://arrow.monash.edu.au/hdl/1959.1/8383.

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Wong, Kwok-pun, and 王國斌. "Heterogeneity of competitive behaviour under price taking competition: an empirical study of newspaper hawkers inHong Kong." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B3195473X.

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Vickers, John. "Patent races and market structure." Thesis, University of Oxford, 1985. http://ora.ox.ac.uk/objects/uuid:9e3df3d2-b58a-48cc-b639-78c7c48bd3cd.

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This thesis is a theoretical study of relationships between patent races and market structure. The outcome of a patent race can be an important determinant of market structure. For example, whether or not a new firm enters a market may depend upon its winning a patent race against an incumbent firm already in that market. Moreover, market structure can be a major influence upon competition in a patent race. In the example, the asymmetry between incumbent and potential entrant has an effect upon their respective incentives in the patent race. Chapter I discusses models of R and D with uncertainty. We show that, as the degree of correlation between the uncertainties facing rival firms increases, R and D efforts increase under some, but not all, conditions, and the number of active competitors falls. Chapter II discusses the approach of representing patent races as bidding games. We examine a model in which several incumbent firms compete with a number of potential entrants in a patent race, and ask whether the incumbents have an incentive to form a joint venture to deter entry. They do so if and only if the patent does not offer a major cost improvement. In Chapter III we examine the strategic interactions between competitors during the course of a race, in an attempt to clarify (for different types of race) the idea that a race degenerates when one player becomes 'far enough ahead' of his rivals, in a sense made precise. In Chapter IV we examine the evolution of market structure in a duopoly model when there is a sequence of patent races. The nature of competition in the product market is shown to determine whether one firm becomes increasingly dominant as industry leader, or whether there is 'action - reaction' between firms.
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Aboagye, Anthony Q. Q. "Financial flows, macroeconomic policy and the agricultural sector in Sub-Saharan Africa." Thesis, McGill University, 1998. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=35672.

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This thesis focuses on the effects of development assistance (ODA), private foreign commercial capital (PFX), domestic savings (SAV), the openness of the economy and producer prices on agricultural output, and on export and domestic shares of agricultural output in sub-Saharan Africa (SSA). This study uses panel data spanning 27 countries and the period 1970 to 1993.
The production function is a Cobb-Douglas type. Static export and domestic share equations are derived from a specification of the agricultural gross domestic product function. Transformed auto-regressive distributed-lag versions of the static share models are used to investigate long-run dynamics, persistence and implementation lags in the share response model.
Agricultural output is affected as follows. ODA, PFX and SAV have small positive or negative impact depending on agricultural region or economic policy environment. The impact of openness of the economy is negative in all agricultural regions, however, there is evidence of positive effect of openness within improved policy environment. None of these effects are statistically significant.
Export share is affected as follows. ODA, PFX and SAV have small positive impact in some agricultural regions and policy environments, both in the short-run and in the long-run. PFX is not significant anywhere. ODA is significant only when countries are grouped by policy environment in the short-run. SAV is significant in the short-run only in some regions, and significant in the long-run only in others. Openness has positive impact in the short-run. This is significant in many regions. Its long-run impact is mostly positive but not significant anywhere. The impact of producer price is mostly positive but not significant.
Efforts to encourage economic activities in rural communities such as improvements in domestic terms of trade in favor of agriculture, together with the provision of infrastructure are likely to stimulate output. Strategies to diversify and process agricultural exports in the face of falling agricultural commodity prices should be pursued.
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Ghaswala, Akbar Abdulaziz. "Impact of technology on economies of scale in large US commerical banks." Thesis, Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/29221.

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Johnson, Adam Michael. "Pricing Genetically Modified Output Traits and Effects on Competing Technologies." Thesis, North Dakota State University, 2007. https://hdl.handle.net/10365/29851.

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This study develops a framework for pricing output traits derived from agriculture biotechnology and the effects on competing technologies post-introduction of the genetically modified (GM) variety. The price impact model determines processor or consumer adoption rates and changes in processor, farmer, and tech firm surplus as a result of the release of the new GM variety. Several implications result from this research. First, adoption of the GM variety may not be as high as expected due to the lower cost of using conventional varieties for processing or consumption inputs. Second, both processors who adopt the GM variety and those who continue to use conventional varieties will have an increase in surplus as a result of the introduction of the GM variety. Lower costs of conventional varieties will also result in new entrants into the market.
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Lee, Huey-Lin 1974. "Modelling private vehicle use in a computable general equilibrium model of Taiwan." Monash University, Centre of Policy Studies, 2002. http://arrow.monash.edu.au/hdl/1959.1/7895.

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Tsang, Ho Yee. "Analyses of the agricultural production during the era of rural reform in China." HKBU Institutional Repository, 1998. http://repository.hkbu.edu.hk/etd_ra/126.

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Ngomba, Peter Njoh. "The developmental impact of public investment in education, science and technology in Cameroon, 1960-1980 /." Thesis, McGill University, 1987. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=75784.

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Linking education, science and technology with national development is a subject of increasing concern in many developing countries. In this dissertation, we have studied empirically the contribution, or lack of it, which public investment in education, science and technology has made to the attainment of development objectives in Cameroon since 1960. Using a small computable macroeconometric model of Cameroon incorporating some major relevant quantitative aspects of the knowledge sector, we have investigated the effects on that sector and on the overall economic system of increased education- and research-service resources. We have also analyzed some of the major qualitative factors that are important in this sector.
Our results suggest that, given existing patterns of education, science and technology in Cameroon, the contribution of public investment in this sector may be small compared to the potential contribution suggested in the literature. The implications of these results are examined for policy-making and planning at the national level.
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Walker, Sébastien. "Essays in development macroeconomics." Thesis, University of Oxford, 2015. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.712398.

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Books on the topic "Equality – Economic aspects – Econometric models"

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Townsend, Robert M. Financial deepening, inequality, and growth: A model-based quantitative evaluation. Washington, D.C: International Monetary Fund, Research Department, 2003.

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Jalan, Jyotsna. Household income dynamics in rural China. Helsinki: United Nations University, World Institute for Development Economics Research, 2002.

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Democracy, education, and equality. New York: Cambridge University Press, 2006.

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Min, Hong G. Inequality, the price of nontradables, and the real exchange rate: Theory and cross-country evidence. Washington, D.C: World Bank, Poverty Reduction and Economic Management Network, Poverty Reduction Group, 2002.

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Raquel, Fernandez. Diversity and redistribution. Cambridge, MA: National Bureau of Economic Research, 2005.

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Raquel, Fernandez. Diversity and redistribution. Cambridge, Mass: National Bureau of Economic Research, 2005.

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Fajnzylber, Pablo. Labor demand and trade reform in Latin America. Washington, DC: World Bank, Latin America and the Caribbean Region, Poverty Reduction and Economic Management Sector Unit, 2000.

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Scandizzo, Stefania. Counterfeit goods and income inequality. [Washington, D.C.]: International Monetary Fund, IMF Institute, 2001.

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Benabou, Roland. Unequal societies. Cambridge, MA: National Bureau of Economic Research, 1996.

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Benabou, Roland. Inequality and growth. Cambridge, MA: National Bureau of Economic Research, 1996.

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Book chapters on the topic "Equality – Economic aspects – Econometric models"

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Sengupta, Ramprasad. "Interdependence among Stages of Economic Development, Human Development, and the Natural Environment." In Entropy Law, Sustainability, and Third Industrial Revolution, 124–50. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190121143.003.0006.

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Chapter 5 points to the interactive nature of the different aspects of development sustainability and investigates the interrelations among the different components of the overall development index using cross-country data with the help of simple econometric model of quadratic single equation type. The chapter further makes deeper analysis of the dynamic links among human development, the natural environment, and economic growth using simultaneous equation econometric models (mostly of two-stage least square type) with global cross-country data of the different time periods. The models and analysis of the chapter are based on the data of all the concerned variables presented in Chapter 4.
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Goswami, Anandajit, Arabinda Mishra, and Kaushik Bandopadhyay. "Nonlinearity of Energy Transition in India and Implications for Sustainability Science." In Economic Modeling, Analysis, and Policy for Sustainability, 206–33. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-5225-0094-0.ch011.

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Policy discourse on rural energy transition within developing countries approach the issue of energy transition through linearly structured, causality based models. This work aims to explore, question the authenticity of such an approach through exploring existence of non linearity in the rural energy transition process of India. Energy transition of rural households impact social, economic and environmental domains of sustainability. For instance, a switchover of a household from smoke generating mudstoves to clean cookstoves can reduce smoke generation, chance of respiratory diseases, impacting the economic, environment and social domains of sustainability. Transition to clean cookstoves can be non-linear and such a transition in a non-linear way impacts domains of sustainability. Hence this work tries to contextualize rural energy transition process through econometric methods, spatial theory of chaos. The work concludes with the exploration of non linear aspects of rural energy transition process within the local rural context and connects it to sustainability science.
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Ben Romdhane Loukil, Youssra, Souhaila Kammoun, and Imen Ouerghi. "Greenfield FDI Determinants in the MENA Region." In Handbook of Research on the Empirical Aspects of Strategic Trade Negotiations and Management, 279–93. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-7568-0.ch014.

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The purpose of the chapter is twofold. Firstly, the authors intend to identify the main determinants of Greenfield FDI in a context of political and economic changes by choosing inflation, trade freedom, and investment freedom as macroeconomic variables and political instability as an institutional variable. Secondly, they determine which environmental sector may affect this mode of foreign investment in MENA region. Using dynamic panel models on a sample of 13 countries over the period 2010-2018, they perform econometric modeling to measure the relationship between Greenfield FDI, macroeconomic aggregates, and the relationship between FDI and the environmental sector. They find that trade openness stimulates foreign investment in MENA region and that the lack of inflation control may disrupt the inflow of Greenfield FDI since it reflects the economic stability of the host countries. Furthermore, there is a positive relationship between Greenfield FDI and environmental sectors. The chapter suggests some relevant practical implications to improve the attractiveness of Greenfield FDI in the MENA region.
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Reports on the topic "Equality – Economic aspects – Econometric models"

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Rodríguez Caballero, Carlos Vladimir, and Arnoldo López - Marmolejo. Assessing the Effect of Gender Equality before the Law on Female Labor Participation and GDP per capita in Central America Panama and the Dominican Republic. Inter-American Development Bank, March 2021. http://dx.doi.org/10.18235/0003113.

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Women's participation in the labor market in Central America is low for the international standard. Increase such participation is on the agenda of many policymakers who want to improve women's access to quality employment. In this paper, we use data from Central America, Panama, and the Dominican Republic to assess whether gender equality in the law helps increasing women's participation in the labor force and, therefore, boosts GDP per capita. The study is based on two econometric methodologies to evaluate distinct aspects of the economic mechanism.
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Hlushak, Oksana M., Svetlana O. Semenyaka, Volodymyr V. Proshkin, Stanislav V. Sapozhnykov, and Oksana S. Lytvyn. The usage of digital technologies in the university training of future bachelors (having been based on the data of mathematical subjects). [б. в.], July 2020. http://dx.doi.org/10.31812/123456789/3860.

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This article demonstrates that mathematics in the system of higher education has outgrown the status of the general education subject and should become an integral part of the professional training of future bachelors, including economists, on the basis of intersubject connection with special subjects. Such aspects as the importance of improving the scientific and methodological support of mathematical training of students by means of digital technologies are revealed. It is specified that in order to implement the task of qualified training of students learning econometrics and economic and mathematical modeling, it is necessary to use digital technologies in two directions: for the organization of electronic educational space and in the process of solving applied problems at the junction of the branches of economics and mathematics. The advantages of using e-learning courses in the educational process are presented (such as providing individualization of the educational process in accordance with the needs, characteristics and capabilities of students; improving the quality and efficiency of the educational process; ensuring systematic monitoring of the educational quality). The unified structures of “Econometrics”, “Economic and mathematical modeling” based on the Moodle platform are the following ones. The article presents the results of the pedagogical experiment on the attitude of students to the use of e-learning course (ELC) in the educational process of Borys Grinchenko Kyiv University and Alfred Nobel University (Dnipro city). We found that the following metrics need improvement: availability of time-appropriate mathematical materials; individual approach in training; students’ self-expression and the development of their creativity in the e-learning process. The following opportunities are brought to light the possibilities of digital technologies for the construction and research of econometric models (based on the problem of dependence of the level of the Ukrainian population employment). Various stages of building and testing of the econometric model are characterized: identification of variables, specification of the model, parameterization and verification of the statistical significance of the obtained results.
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