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Artykuły w czasopismach na temat „Economic modelling”

Autor: Grafiati

Data publikacji: 4 czerwca 2021

Data aktualizacji: 25 lipca 2025

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1

Torgerson, D. J. "Economics Notes: Economic modelling before clinical trials." BMJ 325, no. 7355 (2002): 98. http://dx.doi.org/10.1136/bmj.325.7355.98.

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2

Osborn, Denise R. "Macro-economic modelling." International Journal of Forecasting 6, no. 1 (1990): 140–41. http://dx.doi.org/10.1016/0169-2070(90)90105-k.

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3

Moscardini, A. O., K. Lawler, T. Vlasova, and E. Merza. "The Future of Economic Modelling." Bulletin of Taras Shevchenko National University of Kyiv. Economics, no. 205 (2019): 20–26. http://dx.doi.org/10.17721/1728-2667.2019/205-4/3.

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This is the third in a trilogy of papers concerning the reform of Economics. This paper tackles the subject of Economic modelling, If modelling is a representation of reality then the concept of “wha t is real” must be discussed. A description of the purpose of modelling and the processes involved in creating models then follows. The debate then switches to Economic modelling, its purpose and its effectiveness. Traditional Economic modelling is still a useful tool for understanding and teaching but Data Analytics and intelligent algorithms are better for economic predictions.

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4

McKenzie, Sandra, C. W. J. Granger, and T. Terasvirta. "Modelling Nonlinear Economic Relationships." Journal of the American Statistical Association 90, no. 432 (1995): 1491. http://dx.doi.org/10.2307/2291548.

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5

Jansen, Dennis W., Clive W. J. Granger, and Timo Terasvirta. "Modelling Nonlinear Economic Relationships." Southern Economic Journal 61, no. 4 (1995): 1241. http://dx.doi.org/10.2307/1060764.

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6

Aalabaf-Sabaghi, Morteza. "Economic Modelling and Inference." Journal of the Royal Statistical Society: Series A (Statistics in Society) 174, no. 1 (2011): 240. http://dx.doi.org/10.1111/j.1467-985x.2010.00676_2.x.

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7

Mills, Terence C. "Modelling Compositional Economic Data." Indian Economic Journal 55, no. 3 (2007): 99–115. http://dx.doi.org/10.1177/0019466220070307.

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8

Öller, Lars-Erik. "Modelling nonlinear economic relationships." International Journal of Forecasting 10, no. 1 (1994): 169–71. http://dx.doi.org/10.1016/0169-2070(94)90064-7.

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9

Blake, Adam. "Economic Modelling of Tourism." Tourism Economics 14, no. 4 (2008): 669–71. http://dx.doi.org/10.5367/000000008786440193.

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10

Blažević, Branko, and Adriana Jelušić. "Modelling regional economic development." Kybernetes 35, no. 7/8 (2006): 1190–202. http://dx.doi.org/10.1108/03684920610675265.

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11

Puu, T. "Continuous economic space modelling." Annals of Regional Science 43, no. 1 (2008): 5–25. http://dx.doi.org/10.1007/s00168-007-0200-0.

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12

Sørensen, Jan Rose. "Applied political economic modelling." European Journal of Political Economy 6, no. 3 (1990): 442–44. http://dx.doi.org/10.1016/0176-2680(90)90073-r.

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13

Jefferson, Tom, and Vittorio Demicheli. "Economic Evaluation of Influenza Vaccination and Economic Modelling." PharmacoEconomics 9, Supplement 3 (1996): 67–72. http://dx.doi.org/10.2165/00019053-199600093-00015.

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14

Malek, Mo. "Economic Evaluation of Influenza Vaccination and Economic Modelling." PharmacoEconomics 9, Supplement 3 (1996): 73–74. http://dx.doi.org/10.2165/00019053-199600093-00016.

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15

Mills, Terence C., and N. F. R. Crafts. "Modelling Trends in Economic History." Statistician 45, no. 2 (1996): 153. http://dx.doi.org/10.2307/2988404.

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16

Szczerbicki, Edward, and Maciej Waszczyk. "Modelling of Complex Economic Systems." International Journal of Enterprise Information Systems 2, no. 1 (2006): 67–78. http://dx.doi.org/10.4018/jeis.2006010105.

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17

Düppe, Till. "German Fears in Economic Modelling." OEconomia, no. 12-1 (March 1, 2022): 1–26. http://dx.doi.org/10.4000/oeconomia.12457.

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18

Gardini, Laura, Fabio Lamantia, Davide Radi, Ferenc Szidarovszky, and Fabio Tramontana. "Nonlinear dynamics in economic modelling." Decisions in Economics and Finance 44, no. 2 (2021): 485–87. http://dx.doi.org/10.1007/s10203-021-00353-8.

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19

Brennan, Alan, and Ron Akehurst. "Modelling in Health Economic Evaluation." PharmacoEconomics 17, no. 5 (2000): 445–59. http://dx.doi.org/10.2165/00019053-200017050-00004.

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20

Clements, Michael P., and David F. Hendry. "Macro-Economic Forecasting and Modelling." Economic Journal 105, no. 431 (1995): 1001. http://dx.doi.org/10.2307/2235166.

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21

Silva, Afonso, Bruno Augusto, Sandra Rafael, et al. "Modelling of Regional Economic Metabolism." Climate 8, no. 4 (2020): 52. http://dx.doi.org/10.3390/cli8040052.

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The current linear economic system has led Europe to unsustainable development, aggravating several issues, such as climate change, limitation of resources, and pollution. As a sustainable alternative, circular economy (CE) has been promoted around the world. This economic system allows for the maximization of a product’s life, thus decreasing its environmental impact and increasing its value. The main goal of this work is to scrutinise the concepts of CE over time, from the beginning of the concept, to its implementation in Europe and its application in Portugal. In addition, the requirement

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22

Kravtsova, L. V. "Mathematical modelling in economic processes." Information Technologies in Education, no. 1 (April 12, 2008): 60–65. http://dx.doi.org/10.14308/ite000008.

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23

Brännäs, Kurt, Clive W. J. Granger, Timo Teräsvirta, Kurt Brannas, and Timo Terasvirta. "Modelling Non-Linear Economic Relationships." Scandinavian Journal of Economics 96, no. 4 (1994): 576. http://dx.doi.org/10.2307/3440801.

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24

Kuorikoski, Jaakko, Aki Lehtinen, and Caterina Marchionni. "Economic Modelling as Robustness Analysis." British Journal for the Philosophy of Science 61, no. 3 (2010): 541–67. http://dx.doi.org/10.1093/bjps/axp049.

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25

Roberts, Colin J. "AUSTRALASIAN ECONOMIC MODELLING CONFERENCE 1992." Journal of Economic Surveys 7, no. 2 (1993): 203–4. http://dx.doi.org/10.1111/j.1467-6419.1993.tb00165.x.

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26

Inadomi, John M. "Decision analysis and economic modelling." European Journal of Gastroenterology & Hepatology 16, no. 6 (2004): 535–42. http://dx.doi.org/10.1097/00042737-200406000-00005.

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27

Shepherd, David, and Francis K. C. Shi. "Economic Modelling with Fuzzy Logic." IFAC Proceedings Volumes 31, no. 16 (1998): 435–40. http://dx.doi.org/10.1016/s1474-6670(17)40518-0.

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28

Serra, Pablo. "Mathematical modelling and economic evaluation." Mathematical Modelling 8 (1987): 718–22. http://dx.doi.org/10.1016/0270-0255(87)90676-2.

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29

Tauber, S. "Economic modelling by lump algebras." Mathematical and Computer Modelling 10, no. 5 (1988): 389–93. http://dx.doi.org/10.1016/0895-7177(88)90142-2.

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30

Heidinger, Philipp, Jürgen Dornstädter, and Axel Fabritius. "HDR economic modelling: HDRec software." Geothermics 35, no. 5-6 (2006): 683–710. http://dx.doi.org/10.1016/j.geothermics.2006.10.005.

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31

McAleer, Michael. "Modelling economic and environmental systems." Environmental Modelling & Software 20, no. 11 (2005): 1365–67. http://dx.doi.org/10.1016/j.envsoft.2004.09.009.

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32

Maycock, G. "Accident modelling and economic evaluation." Accident Analysis & Prevention 18, no. 2 (1986): 169–74. http://dx.doi.org/10.1016/0001-4575(86)90061-8.

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33

Hy, Ronald John. "Economic modelling and public policy." International Journal of Public Administration 18, no. 1 (1995): 1–11. http://dx.doi.org/10.1080/01900699508524996.

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34

Becker, William E., and David M. Kreps. "Game Theory and Economic Modelling." Journal of Economic Education 23, no. 2 (1992): 189. http://dx.doi.org/10.2307/1183259.

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35

Gottinger, Hans W. "Artificial intelligence and economic modelling." Expert Systems 8, no. 2 (1991): 99–105. http://dx.doi.org/10.1111/j.1468-0394.1991.tb00257.x.

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36

Lindfield, G. "Economic modelling and computer programming." Information and Software Technology 31, no. 5 (1989): 283. http://dx.doi.org/10.1016/0950-5849(89)90010-4.

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37

Manfredi, Piero, and Luciano Fanti. "Cycles in dynamic economic modelling." Economic Modelling 21, no. 3 (2004): 573–94. http://dx.doi.org/10.1016/j.econmod.2003.08.003.

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38

Jakutis, Algirdas. "MODELLING OF ECONOMICS REGULATIONS." Technological and Economic Development of Economy 10, no. 3 (2004): 102–8. http://dx.doi.org/10.3846/13928619.2004.9637665.

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Economics may be presented in the form of corroborated rules. Economics may be defined as a science consisting of economic principles, laws, features, criteria, limitations, axioms, etc. Each listed entity may be divided into categories. Categories (category ‐ instruction) are theoretical concepts meaning the most important aspects of restoration of reality. Categories are forms giving theoretical meaning to practical experience. Categories give names to economic phenomena. Categories are presented and analysed in textbooks, reference books, and encyclopaedias. Categories are interconnected si

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39

Zitko, Mislav. "Models, fictions and explanations: A study in historical epistemology of economics." Filozofija i drustvo 24, no. 4 (2013): 84–101. http://dx.doi.org/10.2298/fid1304084z.

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This paper examines the standard criticism of the neoclassical economic theory that takes mathematical formalism and the practice of modelling as the most problematic aspect of orthodox economics. The aim of the paper is to explore the epistemic properties of models in science (particularly in economics), and to incorporate the insights from the recent debates in the philosophy of science into the framework of historical epistemology of economics. The main claim of this paper is that history is important for understanding how economic models operate and why have they been accepted as legitimat

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40

Байхонов, Баходирхан, and Bahodirhan Bayhonov. "ECONOMIC MATHEMATIC-STATISTICAL MODELLING IN DISTRIBUTION OF INVESTMENTS IN UZBEKISTAN." Construction and Architecture 5, no. 3 (2017): 183–87. http://dx.doi.org/10.12737/article_59cd06825bf906.44843817.

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The main purpose in attracting and using of investments is an achievement of leading positions in economic development and supply world’s market with local products of Uzbekistan. There is no doubt that to achieve such targets needs accordance plan and forecasting based on scientific researches. Hence, here in this article were given conclusions of effective using of investments on the basis forecast related to econometrics modeling of such indexes as, GNP, basic funds, conditions of industrial investments, also, inflation rates and employment in the country

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41

Lakić, Dragana, Ivana Stević, Marina Odalović, and Ivana Tadić. "Modelling in economic evaluations of medicines." Arhiv za farmaciju 71, no. 4 (2021): 354–64. http://dx.doi.org/10.5937/arhfarm71-32404.

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Economic evaluation in health (also known as pharmacoeconomic in case of medicines) identifies, measures, and values costs and outcomes of alternative healthcare technologies, and can be performed alongside controlled clinical trials, but analytical modelling is usually used. Decision trees and Markov models are the two most common approaches used in economic evaluation. The biggest advantages of a decision tree are clarity, simplicity, and straightforwardness. On the other hand, the main advantage of the Markov model is its ability to incorporate complex events into the simulation, which is p

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42

Marhasova, V. G., O. S. Sakun, and T. V. Klymenko. "MODELLING AND PROGNOSTICATION OF MACROECONOMIC DYNAMICS OF PROVIDING THE ECONOMIC SUSTAINABILITY TO THE ECONOMIC SECURITY THREATS." SCIENTIFIC BULLETIN OF POLISSIA 1, no. 1(9) (2017): 43–54. http://dx.doi.org/10.25140/2410-9576-2017-1-1(9)-43-54.

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43

Ball, Michael, and Andrew Wood. "Some Comments on Modelling Economic Trends." Statistician 45, no. 2 (1996): 161. http://dx.doi.org/10.2307/2988405.

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44

Xepapadeas, A. "Economic modelling for groundwater resources management." Water Supply 5, no. 6 (2005): 41–52. http://dx.doi.org/10.2166/ws.2005.0048.

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Conceptual models related to the management of groundwater resources are presented. Socially optimal and privately optimal, or atomistic, management rules and outcomes are compared, and decentralized policy schemes, in the form of water taxes, that can be used to sustain socially optimal use of groundwater resources are explored.

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45

Scott, Douglas, David Taylor, Safinaz El-Solh, and Trevor Elliott. "Port Simulation Modelling and Economic Assessment." Journal of Marine Science and Engineering 4, no. 1 (2016): 16. http://dx.doi.org/10.3390/jmse4010016.

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46

Jefferson, Tom, and Vittorio Demicheli. "Methodological Quality of Economic Modelling Studies." PharmacoEconomics 14, no. 3 (1998): 251–57. http://dx.doi.org/10.2165/00019053-199814030-00002.

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47

Wilde, Michelle. "Methodological Quality of Economic Modelling Studies." PharmacoEconomics 14, no. 3 (1998): 335. http://dx.doi.org/10.2165/00019053-199814030-00009.

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48

Anonychuk, Andrea, and Murray Krahn. "Health Economic and Infectious Disease Modelling." PharmacoEconomics 29, no. 5 (2011): 367–69. http://dx.doi.org/10.2165/11589240-000000000-00000.

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49

Fleurence, Rachael L., and Christopher S. Hollenbeak. "Rates and Probabilities in Economic Modelling." PharmacoEconomics 25, no. 1 (2007): 3–6. http://dx.doi.org/10.2165/00019053-200725010-00002.

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50

Brazaitienė, Tatjana, and Zenonas Brazaitis. "Volumetric modelling of economic index structures." Informacijos mokslai 41 (January 1, 2007): 70–75. http://dx.doi.org/10.15388/im.2007.0.3455.

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Economic index structures perform very important role in economy management and especially in process of preparing instant decisions. Therefore, timely and reasoned decision making and consequences of their implementation often depends on rationality of such structures. Volumetric model of economic index files, its development and adaptation are described in this article. This mathematical model allows to choose rational structure of particular index file, to evaluate it and to use it in practice gaining particular benefits. Specific example of model appliance is presented.Tūrinis ekonominių r

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