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Zeitschriftenartikel zum Thema „Economic models“

Autor: Grafiati

Veröffentlicht am 4. Juni 2021

Zuletzt aktualisiert am 1. August 2024

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1

Shenfeld, Avery B. „Using Economic Models“. AIMR Conference Proceedings 1997, Nr. 2 (April 1997): 10–16. http://dx.doi.org/10.2469/cp.v1997.n2.3.

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2

Drummond, M. F. „Health economic models“. Rheumatology 39, suppl_2 (Dezember 2000): 29–32. http://dx.doi.org/10.1093/rheumatology/39.suppl_2.29.

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3

Lady, George M. „Robust economic models“. Journal of Economic Dynamics and Control 19, Nr. 3 (April 1995): 481–501. http://dx.doi.org/10.1016/0165-1889(94)00791-f.

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4

Buck, Andrew J., und George M. Lady. „Falsifying economic models“. Economic Modelling 22, Nr. 5 (September 2005): 777–810. http://dx.doi.org/10.1016/j.econmod.2005.05.007.

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5

Sullivan, Roger J., und Henry F. Lyle, III. „Economic models are not evolutionary models“. Behavioral and Brain Sciences 28, Nr. 6 (Dezember 2005): 836. http://dx.doi.org/10.1017/s0140525x05430149.

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Henrich et al. reject the “selfishness axiom” within a narrowly-defined economic model, and are premature in claiming that they have demonstrated cross-cultural variability in “selfishness” as defined in broader evolutionary theory. We also question whether a key experimental condition, anonymity, can be maintained in the small, cohesive, social groupings employed in the study.

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6

Kogalovsky, M. R. „Digital Libraries of Economic-Mathematical Models: Economic-Mathematical and Information Models“. Market Economy Problems, Nr. 4 (2018): 89–97. http://dx.doi.org/10.33051/2500-2325-2018-4-89-97.

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7

Gao, Lupin, und R. A. Sabitov. „THE ECONOMIC GROWTH. MODELS OF ECONOMIC GROWTH“. Прогрессивная экономика, Nr. 6 (2022): 15–26. http://dx.doi.org/10.54861/27131211_2022_6_15.

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8

Afontsev, S. „Economic Policies and Models of Economic Development“. World Economy and International Relations, Nr. 4 (2002): 40–47. http://dx.doi.org/10.20542/0131-2227-2002-4-40-47.

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9

Trương Hồng, Trình, und Thanh Trương Bá. „Models of Economic Growth and Economic Crisis“. JOURNAL OF ASIAN BUSINESS AND ECONOMIC STUDIES 33, Nr. 6 (01.06.2022): 72–88. http://dx.doi.org/10.24311/jabes/2022.33.06.05.

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Bài báo nghiên cứu các lý thuyết về tăng trưởng và khủng hoảng kinh tế, mà ở đó nền tảng vi mô và hệ thống tài chính là những thách thức lớn trong các mô hình tăng trưởng kinh tế và khủng hoảng kinh tế hiện nay. Vì những lý do này, bài báo hướng đến phát triển các mô hình lý thuyết để giải thích cơ chế cân bằng tổng thể và trạng thái tăng trưởng dừng trong mối quan hệ với đường cong lạm phát - thất nghiệp. Từ cơ sở này, bài báo tích hợp hệ thống tài chính trong khuôn khổ cân bằng tổng thể để nghiên cứu mối quan hệ giữa tăng trưởng và khủng hoảng kinh tế. Bài báo đóng góp nền tảng lý thuyết cho các nghiên cứu về tăng trưởng và khủng hoảng kinh tế.

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10

Crespo, Ricardo F. „"Models as signs" as "good economic models"“. Estudios económicos 29, Nr. 58 (06.08.2012): 1–12. http://dx.doi.org/10.52292/j.estudecon.2012.766.

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En éste trabajo se aplica la teoría de los signos de Juan Poinsot para la evaluación de un "buen modelo económico". Primero se define qué se considera un buen modelo, luego se presenta el marco conceptual de Poinsot y se presentan algunas ideas actuales acerca de modelos económicos. Luego se muestra cómo se pueden combinar las ideas de Poinsot y sobre los modelos. La conclusión es que un buen modelo señala posibles causas de los fenómenos bajo estudio las que han de verificarse empíricamente.

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11

Clement, Charles R. „Economic Models for Ecology“. BioScience 41, Nr. 8 (September 1991): 530–31. http://dx.doi.org/10.2307/1311601.

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12

Boland, Lawrence A., und Randall G. Holcombe. „Economic Models and Methodology“. Southern Economic Journal 57, Nr. 3 (Januar 1991): 861. http://dx.doi.org/10.2307/1059799.

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13

Gilboa, I., A. Postlewaite, L. Samuelson und D. Schmeidler. „Economic models as analogies“. Voprosy Ekonomiki, Nr. 4 (20.04.2015): 106–30. http://dx.doi.org/10.32609/0042-8736-2015-4-106-130.

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People often wonder why economists analyse models whose assumptions are known to be false, while economists feel that they learn a lot from such exercises. We suggest that part of the knowledge generated by academic economists is case-based rather than rule-based. That is, instead of offering general rules or theories that should be contrasted with data, economists often analyse modelsthat are ‘theoretical cases′, which help understand economic problems by drawinganalogies between the model and the problem. Thus, economic models, empiricaldata, experimental results and other sources of knowledge are all on equal footing, that is, they all provide cases to which a given problem can be compared. We offer complexity arguments that explain why case-based reasoning may sometimes be the method of choice and why economists prefer simple cases.

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14

Gilboa, Itzhak, Andrew Postlewaite, Larry Samuelson und David Schmeidler. „Economic Models as Analogies“. Economic Journal 124, Nr. 578 (12.07.2014): F513—F533. http://dx.doi.org/10.1111/ecoj.12128.

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15

Naydenov, Nikolay Dmitriyevich, Vasily Igorevich Spiryagin und Elena Nikolayevna Novokshonova. „ECONOMIC-MATHEMATICAL CLUSTER’S MODELS“. Sovremennye issledovaniya sotsialnykh problem, Nr. 9 (15.11.2015): 415. http://dx.doi.org/10.12731/2218-7405-2015-9-31.

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16

BRENDSTRUP, BJARNE, SVEND HYLLEBERG, MORTEN RREGAARD NIELSEN, LARS SKIPPER und LARS STENTOFT. „SEASONALITY IN ECONOMIC MODELS“. Macroeconomic Dynamics 8, Nr. 3 (Juni 2004): 362–94. http://dx.doi.org/10.1017/s1365100504030111.

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17

Mitchell, Peter R., Joanne E. Sault, Peter N. Smith und Kenneth F. Wallis. „Comparing global economic models“. Economic Modelling 15, Nr. 1 (Januar 1998): 1–48. http://dx.doi.org/10.1016/s0264-9993(97)00015-1.

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18

Tschirhart, John. „Integrated Ecological-Economic Models“. Annual Review of Resource Economics 1, Nr. 1 (10.10.2009): 381–407. http://dx.doi.org/10.1146/annurev.resource.050708.144113.

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19

House, E. R. „Economic models of evaluation“. Scandinavian Journal of Social Welfare 7, Nr. 2 (April 1998): 110–13. http://dx.doi.org/10.1111/j.1468-2397.1998.tb00210.x.

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20

Weber, Shlomo, und Hans Wiesmeth. „Economic models of NATO“. Journal of Public Economics 46, Nr. 2 (November 1991): 181–97. http://dx.doi.org/10.1016/0047-2727(91)90003-k.

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21

Cherevko, H., V. Kotsai und Lviv National. „COMPETITIVENESS OF ECONOMIC MODELS“. AGRARIAN ECONOMY 16, Nr. 1-2 (08.06.2023): 106–17. http://dx.doi.org/10.31734/agrarecon2023.01-02.106.

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22

Ille, Sebastian. „Towards Better Economic Models of Social Behaviour? Identity Economics“. Studies in Ethnicity and Nationalism 17, Nr. 1 (April 2017): 5–24. http://dx.doi.org/10.1111/sena.12228.

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23

HOLLY, SEAN. „Economic Viewpoint: Economic Models and Economic Forecasting: Ptolemaic or Copernican?“ Economic Outlook 15, Nr. 9 (Juni 1991): 32–38. http://dx.doi.org/10.1111/j.1468-0319.1991.tb00647.x.

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24

Szydłowski, Marek. „Time to build in dynamics of economic models II: models of economic growth“. Chaos, Solitons & Fractals 18, Nr. 2 (Oktober 2003): 355–64. http://dx.doi.org/10.1016/s0960-0779(02)00683-5.

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25

Tambovtsev, Vitaliy. „Models and Stories in Economics“. Moscow University Economics Bulletin 2017, Nr. 1 (28.02.2017): 3–21. http://dx.doi.org/10.38050/01300105201711.

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The paper is devoted to critical analysis of economic methodology movement equating models and metaphors, without making any difference between mathematic models and verbal descriptions (“stories”). The author characterizes some approaches to models’ methodological treatment in economics; describes models’ features permitting to obtain new knowledge and, finally, validates the lack of these features in most verbal descriptions of economic processes. The analysis shows that models and verbal stories have essentially different cognitive potential for economics’ development.

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26

Matzkin, Rosa L. „Nonparametric Identification in Structural Economic Models“. Annual Review of Economics 5, Nr. 1 (02.08.2013): 457–86. http://dx.doi.org/10.1146/annurev-economics-082912-110231.

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27

Baldanov, Sergey V. „REGARDING CONNECTIVITY OF ECONOMIC MODELS AND THOUGHT EXPERIMENTS IN ECONOMICS“. RSUH/RGGU Bulletin. Series Philosophy. Social Studies. Art Studies, Nr. 2 (2017): 9–19. http://dx.doi.org/10.28995/2073-6401-2017-2-9-19.

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28

Zheng, Kai, und Yisheng Liu. „Application of Mathematical Models in Economic Variable Input and Output Models under the Scientific Visualization“. Computational Intelligence and Neuroscience 2022 (21.02.2022): 1–10. http://dx.doi.org/10.1155/2022/6269358.

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At present, with the development of society and economy, some new problems have emerged continuously. Among them, the more serious problem is that enterprises pay too much attention to economic benefits, which leads to problems in the development of many enterprises. Therefore, the problem caused by too much emphasis on economic benefits is one of the major economic problems. After this problem, our country’s economy began to focus on economic input and output in the subsequent development process. And, related personnel have also studied the economic input-output technology and model, which is an economic quantitative analysis method that has been widely used in various aspects of the economic field since its emergence. This paper firstly elaborates the theoretical knowledge involved, such as economic data, economic variables, and visualization techniques. Secondly it analyzes the application of scientific visualization techniques in the processing of economic variable data, which includes the techniques of preprocessing, mapping, drawing, and displaying the data. Finally, this paper investigates the application of mathematical models in economic variables input and output and the application of mathematical models in economic research, which can help us to better understand and use the knowledge of economics, thus providing strong support for solving practical problems. Also, this helps people to understand and grasp more about the macroarea, microaspect, and even the country as a whole.

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29

Kovalevskaya, Marina. „Realistic and Credible Aspect of Economic Models: Methodological Issues“. Moscow University Economics Bulletin 2016, Nr. 2 (30.04.2016): 26–44. http://dx.doi.org/10.38050/01300105201622.

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The article addresses the methodological problems of economics related to realistic and credible aspect of economic models and concepts and looking for possible solutions. The subject of the study presented in this article is evolution of the economic concepts taken by economists to justify their position on the issue of economics faithfulness, their main arguments for and against using realistic assumption in economic theory. We consider the transformation in economics issue before and after financial crises and discuss future of neuroeconomics as tool for overcoming the fundamental methodological problem in economics relating to using realistic assumptions and the quality of economic theory’s predictions. The article is of interest to researchers in methodology of economics, and for a wide range of readers interested in the development prospects of economics.

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30

Behrens, Kristian, und Yasusada Murata. „On quantitative spatial economic models“. Journal of Urban Economics 123 (Mai 2021): 103348. http://dx.doi.org/10.1016/j.jue.2021.103348.

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31

Hey, John D., Marcel Boyer und Richard E. Kihlstrom. „Bayesian Models in Economic Theory.“ Economic Journal 95, Nr. 377 (März 1985): 224. http://dx.doi.org/10.2307/2233492.

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32

Krug, H. „CONCEPTION OF BIO-ECONOMIC MODELS“. Acta Horticulturae, Nr. 248 (September 1989): 19–26. http://dx.doi.org/10.17660/actahortic.1989.248.1.

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33

Alós-Ferrer, Carlos. „Bringing noise into economic models“. EU Research - The necessity of science in uncertain times Summer 2022, Nr. 31 (2022): 57–59. http://dx.doi.org/10.56181/lflv2614.

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Stochastic choice can be thought of as the idea that we don’t always make the same decisions even when confronted with exactly the same choices, so the appropriate model of human behaviour is one which incorporates this randomness. Professor Carlos Alós-Ferrer is bringing together insights from several different fields to work more effectively with random utility models.

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34

Krstic, Milos. „Economic models as theoretical cases“. Theoria, Beograd 59, Nr. 4 (2016): 110–23. http://dx.doi.org/10.2298/theo1604110k.

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While some people wonder why analyze the models for which assumptions are known to be false, the economists believe that they can learn a lot in that way. The article shows that the knowledge that academic economists have gained largely related to concrete cases and not with rules. Economists often do not offer general rules or theories which should be compared with empirical data, but they analyze models that are ?special theoreticall cases?, and which help the understanding of economic problems, by describing analogies between the the problem and economic models. Economic models, empirical data, experimental results, and other sources of knowledge have the same epistemological status at economists, because they provide the cases with which they can compare the specific of economic problems.

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35

Kornafel, Marta, und Ivan Telega. „Natural Capital in Economic Models“. Przegląd Statystyczny 65, Nr. 3 (30.01.2019): 253–70. http://dx.doi.org/10.5604/01.3001.0014.0538.

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The goal of our paper is to make a critical analysis of selected growth models that use the notion of natural capital and to construct the alternative model. In particular we treat the natural capital as a renewable resource and we use CES production function, weakening the assumption of substitutability of natural capital with other forms of capital. We investigate the optimal paths for capital and consumption, giving their characterization in the dependence on the parameters of the model. The paper ends with conclusions derived from the model.

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36

Cahill, Miles, und George Kosicki. „Exploring Economic Models Using Excel“. Southern Economic Journal 66, Nr. 3 (Januar 2000): 770–92. http://dx.doi.org/10.1002/j.2325-8012.2000.tb00288.x.

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37

Lyubchyk, L. M., G. L. Grinberg und A. V. Voronin. „Crisis Models of Economic Dynamics“. Business Inform 5, Nr. 496 (2019): 92–97. http://dx.doi.org/10.32983/2222-4459-2019-5-92-97.

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38

Vanni, Tazio, Jonathan Karnon, Jason Madan, Richard G. White, W. John Edmunds, Anna M. Foss und Rosa Legood. „Calibrating Models in Economic Evaluation“. PharmacoEconomics 29, Nr. 1 (Januar 2011): 35–49. http://dx.doi.org/10.2165/11584600-000000000-00000.

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39

Karnon, Jonathan, und Tazio Vanni. „Calibrating Models in Economic Evaluation“. PharmacoEconomics 29, Nr. 1 (Januar 2011): 51–62. http://dx.doi.org/10.2165/11584610-000000000-00000.

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40

Bender, B., und Gordon Bronitsky. „Ecological Models in Economic Prehistory.“ Man 20, Nr. 3 (September 1985): 552. http://dx.doi.org/10.2307/2802452.

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41

Hellinger, Fred J. „Economic Models of Antiretroviral Therapy“. PharmacoEconomics 24, Nr. 7 (2006): 631–42. http://dx.doi.org/10.2165/00019053-200624070-00002.

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42

Cahill, Miles, und George Kosicki. „Exploring Economic Models Using Excel“. Southern Economic Journal 66, Nr. 3 (Januar 2000): 770. http://dx.doi.org/10.2307/1061439.

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43

Shmidt, Andrey, und Valery Churyukin. „MARKOV’S MODELS OF ECONOMIC SYSTEMS“. Bulletin of South Ural State University series "Economics and management" 9, Nr. 3 (2015): 100–105. http://dx.doi.org/10.14529/em090314.

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44

Guliyev, R. „MODERN ECONOMIC MODELS AND AZERBAIJAN“. Bulletin of Taras Shevchenko National University of Kyiv Economics, Nr. 171 (2015): 31–35. http://dx.doi.org/10.17721/1728-2667.2015/171-6/6.

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45

Ferrer-Comalat, Joan Carles, Dolors Corominas-Coll und Salvador Linares-Mustarós. „Fuzzy logic in economic models“. Journal of Intelligent & Fuzzy Systems 38, Nr. 5 (29.05.2020): 5333–42. http://dx.doi.org/10.3233/jifs-179627.

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46

Fumagalli, Roberto. „Neural Findings and Economic Models“. Philosophy of the Social Sciences 44, Nr. 5 (29.04.2014): 606–29. http://dx.doi.org/10.1177/0048393114530948.

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47

Grycz, Czeslaw Jan. „Economic Models for Networked Information“. Serials Review 18, Nr. 1-2 (01.03.1992): 11–18. http://dx.doi.org/10.1080/00987913.1992.10764039.

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48

Hall, John. „Alternative Economic Models of Transition“. Journal of Economic Issues 39, Nr. 1 (März 2005): 288–91. http://dx.doi.org/10.1080/00213624.2005.11506801.

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49

Rappaport, Steven. „Economic Models and Historical Explanation“. Philosophy of the Social Sciences 25, Nr. 4 (Dezember 1995): 421–41. http://dx.doi.org/10.1177/004839319502500401.

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50

Porwit, Krzysztof. „REGIONAL MODELS AND ECONOMIC PLANNING“. Papers in Regional Science 16, Nr. 1 (14.01.2005): 43–61. http://dx.doi.org/10.1111/j.1435-5597.1966.tb01327.x.

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