Relevant bibliographies by topics / Econometric modelling

Academic literature on the topic 'Econometric modelling'

Author: Grafiati
Published: 4 June 2021
Last updated: 20 February 2023

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Journal articles on the topic "Econometric modelling"

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Phillips, Peter C. B., and A. R. Bergstrom. "Continuous Time Econometric Modelling." Economica 59, no. 235 (August 1992): 373. http://dx.doi.org/10.2307/2554608.

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Bertholon, H., A. Monfort, and F. Pegoraro. "Econometric Asset Pricing Modelling." Journal of Financial Econometrics 6, no. 4 (July 17, 2008): 407–58. http://dx.doi.org/10.1093/jjfinec/nbn011.

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Rancan, Antonella. "Econometric modelling in Italy: From economic planning to academic research." HISTORY OF ECONOMIC THOUGHT AND POLICY, no. 1 (November 2021): 63–82. http://dx.doi.org/10.3280/spe2021-001003.

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The paper deals with the introduction and acceptance of econometric model-ling as a tool to conduct economic policy analysis in Italy in the Post War. A re-search practice first applied in public and private institutions other than universi-ties. It is argued that economic planning and policymakers' needs of empirical es-timations, simulations and forecasts played an important role in supporting quan-titative research, at the time when economics was still conceived as a theoretical discipline. Sylos Labini's (1967) econometric model, the Modellaccio (1970-75), the University of Bologna model (1976) were the first examples of econometric modelling activities within academia. Only since the late 1980s, also due to a gen-erational change, econometrics is fully accepted and introduced in economics cur-ricula with the discipline that aligned to international standards.
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Farkhod, Mulaydinov. "Econometric Modelling of the Innovation Process in Uzbekistan." International Journal of Psychosocial Rehabilitation 24, no. 02 (February 20, 2020): 359–67. http://dx.doi.org/10.37200/ijpr/v24i2/pr200343.

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Rees, Hedley, and Aris Spanos. "Statistical Foundations of Econometric Modelling." Economic Journal 98, no. 389 (March 1988): 202. http://dx.doi.org/10.2307/2233530.

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Rowley, J. C. R., and Aris Spanos. "Statistical Foundations of Econometric Modelling." Economica 55, no. 217 (February 1988): 145. http://dx.doi.org/10.2307/2554269.

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Wegge, Leon L., and Aris Spanos. "Statistical Foundations of Econometric Modelling." Journal of the American Statistical Association 85, no. 409 (March 1990): 255. http://dx.doi.org/10.2307/2289558.

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Głowicka-Wołoszyn, Romana, Izabela Kurzawa, and Andrzej Wołoszyn. "Econometric Modelling of the Demand." Ekonomiczne Problemy Turystyki 33 (2016): 43–54. http://dx.doi.org/10.18276/ept.2016.1.33-04.

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Aschheim, Joseph, and George S. Tavlas. "Econometric modelling of partial adjustment." Economic Modelling 5, no. 1 (January 1988): 2–8. http://dx.doi.org/10.1016/s0264-9993(98)90002-5.

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Davidson, James. "Econometric Modelling: Techniques and Applications,." International Journal of Forecasting 17, no. 2 (April 2001): 302–3. http://dx.doi.org/10.1016/s0169-2070(01)00086-3.

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Dissertations / Theses on the topic "Econometric modelling"

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Clements, Michael P. "Cointegration and dynamic econometric modelling." Thesis, University of Oxford, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.334980.

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Bowsher, Clive G. "Papers in multivariate dynamic econometric modelling." Thesis, University of Oxford, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.413018.

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Arbeleche, Grela Santiago. "Econometric modelling for global asset management." Thesis, University of Cambridge, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.616219.

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Virbukaitė, Laura. "Econometric Modelling and Forecasting Company's FCF Components." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2010. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2010~D_20100621_095233-72130.

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The aim of the study is to verify a hypothesis, whether a company’s financial statement items can be modelled using econometric techniques incorporating accounting and macroeconomic variables. For the modelling and forecasting are selected items, necessary to calculate a company’s free cash flow (FCF) of four Lithuanian companies: telecommunication provider TEO LT, cheese manufacturer Rokiškio sūris, producer of household refrigerators Snaigė and distributor and supplier of electric energy VST. From their financial statements are taken such items as operating profit, current assets and current liabilities, long - term assets and long - term liabilities, and modeled as endogenous variables. Two types of exogenous variables are used: accounting variables (revenues and various types of expenditures) and macroeconomic variables (interest rates, disposable income or net earnings, growth of gross domestic product, country’s export, foreign direct investment and inflation). Initial econometric analysis of the variables includes verification of seasonality and stationarity according to the time series graphs and unit - root tests as well as correlation and causality analysis using cross - correlation matrices and Granger causality tests. For the modelling are selected two types of econometric methods: structural simultaneous - equations models (SEM), estimating them using two - stage least squares technique, and vector autoregression (VAR) models. After estimation of the models... [to full text]
Darbo tikslas yra patikrinti hipotezę, ar įmonės finansinės atskaitomybės straipsniai gali būti modeliuojami naudojant ekonometrinius metodus įtraukiant apskaitos ir makroekonominius kintamuosius. Modeliavimui ir prognozavimui yra pasirinkti įmonės laisvam pinigų srautui (angl. free cash flow, FCF) apskaičiuoti reikalingi straipsniai ir keturios Lietuvos įmonės: telekomunikacijų paslaugų teikėja „TEO LT“, sūrių gamybos įmonė „Rokiškio sūris“, buitinių šaldytuvų gamintoja „Snaigė“ bei elektros energijos skirstytoja ir tiekėja VST. Iš šių bendrovių finansinių atskaitomybių yra paimti tokie straipsniai, kaip veiklos pelnas, trumpalaikis turtas ir trumpalaikiai įsipareigojimai, ilgalaikis turtas ir ilgalaikiai įsipareigojimai. Šie rodikliai yra modeliuojami kaip endogeniniai kintamieji. Modeliuojant naudojami egzogeniniai kintamieji yra dviejų tipų: apskaitos kintamieji (pardavimai ir įvairios sąnaudos) bei makroekonominiai kintamieji (palūkanų normos, disponuojamos pajamos, neto darbo užmokestis, bendrojo vidaus produkto augimas, šalies eksportas, tiesioginės užsienio investicijos ir infliacija). Pradinė ekonometrinė kintamųjų analizė apima sezoniškumo ir stacionarumo tikrinimą pagal laiko eilučių grafikus ir vienetinės šaknies testus bei koreliacijų ir priežastingumo analizę, naudojant kryžmines koreliacijas ir Granger priežastingumo testus. Modeliavimui yra pasirinkti du ekonometriniai metodai: struktūrinių vienalaikių lygčių modeliai (angl. structural simultaneous – equation... [toliau žr. visą tekstą]
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Iacopini, Matteo. "Essays on econometric modelling of temporal networks." Thesis, Paris 1, 2018. http://www.theses.fr/2018PA01E058/document.

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La théorie des graphes a longtemps été étudiée en mathématiques et en probabilité en tant qu’outil pour décrire la dépendance entre les nœuds. Cependant, ce n’est que récemment qu’elle a été mise en œuvre sur des données, donnant naissance à l’analyse statistique des réseaux réels.La topologie des réseaux économiques et financiers est remarquablement complexe: elle n’est généralement pas observée, et elle nécessite ainsi des procédures inférentielles adéquates pour son estimation, d’ailleurs non seulement les nœuds, mais la structure de la dépendance elle-même évolue dans le temps. Des outils statistiques et économétriques pour modéliser la dynamique de changement de la structure du réseau font défaut, malgré leurs besoins croissants dans plusieurs domaines de recherche. En même temps, avec le début de l’ère des “Big data”, la taille des ensembles de données disponibles devient de plus en plus élevée et leur structure interne devient de plus en plus complexe, entravant les processus inférentiels traditionnels dans plusieurs cas. Cette thèse a pour but de contribuer à ce nouveau champ littéraire qui associe probabilités, économie, physique et sociologie en proposant de nouvelles méthodologies statistiques et économétriques pour l’étude de l’évolution temporelle des structures en réseau de moyenne et haute dimension
Graph theory has long been studied in mathematics and probability as a tool for describing dependence between nodes. However, only recently it has been implemented on data, giving birth to the statistical analysis of real networks.The topology of economic and financial networks is remarkably complex: it is generally unobserved, thus requiring adequate inferential procedures for it estimation, moreover not only the nodes, but the structure of dependence itself evolves over time. Statistical and econometric tools for modelling the dynamics of change of the network structure are lacking, despite their increasing requirement in several fields of research. At the same time, with the beginning of the era of “Big data” the size of available datasets is becoming increasingly high and their internal structure is growing in complexity, hampering traditional inferential processes in multiple cases.This thesis aims at contributing to this newborn field of literature which joins probability, economics, physics and sociology by proposing novel statistical and econometric methodologies for the study of the temporal evolution of network structures of medium-high dimension
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Hweta, A. M. "Modelling the U.S. pear industry." Thesis, University of Reading, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.354082.

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Angelov, Nikolay. "Essays on unit-root testing and on discrete-response modelling of firm mergers /." Uppsala : Department of Economics, Uppsala University, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-6358.

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Lips, Johannes [Verfasser]. "Econometric Modelling of Energy & Financial Markets / Johannes Lips." Gießen : Universitätsbibliothek, 2019. http://d-nb.info/1199811742/34.

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Orme, Christopher David. "Misspecification and inferance in micro-econometrics." Thesis, University of York, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.329851.

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Hall, A. "Estimation and inference in simultaneous equation models." Thesis, University of Warwick, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.356473.

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Books on the topic "Econometric modelling"

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Terry, Barker, and Pesaran M. Hashem 1946-, eds. Disaggregation in econometric modelling. London: Routledge, 1990.

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Continuous time econometric modelling. Oxford [England]: Oxford University Press, 1990.

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Patuelli, Roberto, and Giuseppe Arbia, eds. Spatial Econometric Interaction Modelling. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30196-9.

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Statistical foundations of econometric modelling. Cambridge: Cambridge University Press, 1986.

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MacNeill, Ian B., Gary J. Umphrey, Richard A. L. Carter, A. Ian McLeod, and Aman Ullah, eds. Time Series and Econometric Modelling. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4790-0.

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Andreas, Vergottis, ed. Econometric modelling of world shipping. London: Chapman & Hall, 1993.

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1941-, Raj Baldev, and Canadian Econometric Study Group, eds. Advances in econometrics and modelling. Dordrecht: Kluwer Academic Publishers, 1989.

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Giussani, Bruno. Econometric modelling of U.K. house prices. Kingston upon Thames: Human Sciences Centre, Kingston Polytechnic, 1989.

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Mills, T. C. Econometric modelling of financial time series. Cambridge: Cambridge University Press, 1995.

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Muscatelli, V. Anton. Econometric modelling using cointegrated time series. Glasgow: Glasgow University, Department of Political Economy, 1992.

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Book chapters on the topic "Econometric modelling"

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Plassmann, Engelbert. "Econometric Modelling." In Contributions to Economics, 11–28. Heidelberg: Physica-Verlag HD, 2003. http://dx.doi.org/10.1007/978-3-642-57336-1_2.

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Mariel, Petr, David Hoyos, Jürgen Meyerhoff, Mikolaj Czajkowski, Thijs Dekker, Klaus Glenk, Jette Bredahl Jacobsen, et al. "Econometric Modelling: Basics." In Environmental Valuation with Discrete Choice Experiments, 61–81. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62669-3_5.

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AbstractThis chapter addresses basic topics related to choice data analysis. It starts by describing the coding of attribute levels and choosing the functional form of the attributes in the utility function. Next, it focuses on econometric models with special attention devoted to the random parameter mixed logit model. In this context, the chapter compares different coefficient distributions to be used, addresses specifics of the cost attribute coefficient and it pays attention to potential correlations between random coefficients. Finally, topics related to the estimation procedure such as assuring its convergence or random draws are discussed.
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Mariel, Petr, David Hoyos, Jürgen Meyerhoff, Mikolaj Czajkowski, Thijs Dekker, Klaus Glenk, Jette Bredahl Jacobsen, et al. "Econometric Modelling: Extensions." In Environmental Valuation with Discrete Choice Experiments, 83–101. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62669-3_6.

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AbstractThis chapter is devoted to advanced issues of econometric modelling. The topics covered are, among others, models in willingness to pay space, the meaning of scale heterogeneity in discrete choice models and the application of various information processing rules such as random regret minimisation or attribute non-attendance. Other topics are anchoring and learning effects when respondents move through a sequence of choice tasks as well as different information processing strategies such as lexicographic preferences or choices based on elimination-by-aspects.
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Jiao, Xiaoying, and Jason Li Chen. "Spatiotemporal econometric models." In Econometric Modelling and Forecasting of Tourism Demand, 126–43. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003269366-6.

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Dima, Ioan Constantin, and Mariana Man. "Simulation and Modelling: Econometric Technique." In Contributions to Management Science, 97–136. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16592-9_5.

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Patuelli, Roberto, and Giuseppe Arbia. "Spatial Econometric Interaction Modelling: Where Spatial Econometrics and Spatial Interaction Modelling Meet." In Advances in Spatial Science, 1–12. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30196-9_1.

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Swanson, Norman R., and Philip Hans Franses. "Nonlinear Econometric Modelling: A Selective Review." In Dynamic Modeling and Econometrics in Economics and Finance, 87–109. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5129-4_4.

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Billé, Anna Gloria, Cristina Salvioni, and Francesco Vidoli. "Spatial Econometric Modelling of Farm Data." In Spatial Econometric Methods in Agricultural Economics Using R, 160–84. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9780429155628-9.

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Singh, Radhey S., A. Ullah, and R. A. L. Carter. "Nonparametric Inference In Econometrics: New Applications." In Time Series and Econometric Modelling, 253–78. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-4790-0_18.

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Hannan, E. J. "Approximation of Linear Systems." In Time Series and Econometric Modelling, 1–12. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-4790-0_1.

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Conference papers on the topic "Econometric modelling"

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"Econometric Modelling of Brownfield Redevelopment." In 2005 European Real Estate Society conference in association with the International Real Estate Society: ERES Conference 2005. ERES, 2005. http://dx.doi.org/10.15396/eres2005_347.

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Vasyl’yeva, O., M. Kuzmenko, K. Skrynchenko, S. Zapototskyi, and O. Maslova. "Econometric Modelling of the Agricultural Sector Sustainable Development." In 16th International Conference Monitoring of Geological Processes and Ecological Condition of the Environment. European Association of Geoscientists & Engineers, 2022. http://dx.doi.org/10.3997/2214-4609.2022580077.

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Цвиль, Мария, Mariya Tsvil, Вера Ильютченко, Vera Ilyutchenko, Дарья Помаскова, and Dariya Pomaskova. "ECONOMETRIC MODELLING OF INVESTMENTS IN FIXED CAPITAL OF THE ROSTOV REGION." In Mathematics in Economics. AUS PUBLISHERS, 2018. http://dx.doi.org/10.26526/conferencearticle_5c24b1d033c2a6.91076306.

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The article discusses the degree of influence of various factors on investment in fixed assets of the Rostov region during the period from 2010 to 2017 by means of the econometric models.Based on the received model, the forecast has been made.
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P.D., Kulyakwave, Shiwei Xu, and Wen Yu. "Econometric Modelling for Missing Weather Variables Estimation: Shinyanga Region of Tanzania." In 2018 IEEE International Conference of Safety Produce Informatization (IICSPI). IEEE, 2018. http://dx.doi.org/10.1109/iicspi.2018.8690361.

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Shubat, Oksana, and Anna Bagirova. "Econometric Modelling Of Time Series Relationship Between Fertility And Income For The Russian Population: Methodological Issues." In 32nd Conference on Modelling and Simulation. ECMS, 2018. http://dx.doi.org/10.7148/2018-0020.

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"European Yield modelling and forecasting: A comparison of econometric and systematic techniques." In 10th European Real Estate Society Conference: ERES Conference 2003. ERES, 2003. http://dx.doi.org/10.15396/eres2003_182.

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de Marcos, Rodrigo A., Antonio Bello, and Javier Reneses. "Hybridisation of Fundamental and Composite Econometric Modelling for Short-Term Electricity Price Forecasting." In 2018 15th International Conference on the European Energy Market (EEM). IEEE, 2018. http://dx.doi.org/10.1109/eem.2018.8470022.

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Shubat, Oksana, and Anna Bagirova. "The Use Of Econometric Models In The Study Of Demographic Policy Measures (Based On The Example Of Fertility Stimulation In Russia)." In 31st Conference on Modelling and Simulation. ECMS, 2017. http://dx.doi.org/10.7148/2017-0047.

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Ramczyk, Marek. "Application of Econometric Model for Water Economy Management." In Environmental Engineering. VGTU Technika, 2017. http://dx.doi.org/10.3846/enviro.2017.042.

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The econometric model can be a precise instrument for the analysis of the impact of the natural environmental degradation on the fishing economy. This paper aims at analysing the influence of the water quality changes in Charzykowskie Lake on the fishing economy. The economic-ecological models have been constructed, explaining the changes of economic effects of the lake fishery in the conditions of an increasing water pollution in the hypolimnion on the example of the catch of Rutilus rutilus, Blicca bjoerkna, Coregonus lavaretus, Anguilla anguilla and Esox lucius in Charzykowskie Lake. Performed empirical research focuses on the influence of the environmental factors on the size of fish catch. Calculations and analysis show clearly that even though the habitat factors have an influence on the catch size of each studied fish species, they do it with different intensity and in various combinations. Both, lake water quality and climate factors changes, cause measurable effects on fishing industry of Charzykowskie Lake. Among the examined Rutilus rutilus and Blicca bjoerkna, Blicca bjoerkna has the highest high environmental requirements regarding the water quality. Empirical calculations showed as well that Coregonus lavaretus has considerably higher water cleanness requirements than Rutilus rutilus and Blicca bjoerkna. While considering Rutilus rutilus and Blicca bjoerkna, most water characteristics still rather stimulate a development of these species, but when it comes to Coregonus lavaretus, in general they suppress its development. The model has also proved quite high habitat requirements for Anquilla anquilla and correctness of the thesis that Esox lucius avoids polluted water. Climatic factors influence is significant for the endogenous variables. The above prejudges the itineration of Rutilus rutilus, Blicca bjoerkna, Coregonus lavaretus, Anquilla anquilla and Esox lucius catch in Charzykowskie Lake. The results of the modelling can be used in managing the fishing economy of the lake.
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ZHERLITSYN, Dmytro, Liudmyla GALAIEVA, and Volodymyr MANDRA. "COMPANY FINANCIAL FLOW MODELLING BY SYSTEM DYNAMICS METHODOLOGY." In International Scientific Conference „Contemporary Issues in Business, Management and Economics Engineering". Vilnius Gediminas Technical University, 2021. http://dx.doi.org/10.3846/cibmee.2021.630.

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Purpose – the purpose of the article is to develop a conceptual model of the company’s financial logistics based on the system dynamics principles. Research methodology – the article is based on the system analysis and system dynamics methods to define, classify and simulate a company financial flow. Findings – the definition of financial logistics for a business system has been defined. The authors make a classification of the company’s financial flow by the main economic activities and time series factors. Research limitations – commercial data, used for the practical implementation of the model, are confidential and cannot be disclosed. Practical implications – the model is implemented by transformation of a system dynamic flow graph into VENSIM programs. It may estimate the stationary trajectory financial flow and short-term and long-term gaps. Originality/Value – the conceptual model of the company’s financial logistics is determined based on the system dynam-ics principles. The model includes the advantages of the financial management methods and contemporary econometric analysis instruments based on a system dynamics.
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