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Journal articles on the topic 'Dynamic economics'

Author: Grafiati

Published: 10 March 2023

Last updated: 31 July 2025

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1

Stantcheva, Stefanie. "Dynamic Taxation." Annual Review of Economics 12, no. 1 (2020): 801–31. http://dx.doi.org/10.1146/annurev-economics-100119-013035.

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This article reviews recent advances in the study of dynamic taxation, considering three main approaches: the dynamic Mirrlees, the parametric Ramsey, and the sufficient statistics approaches. In the first approach, agents’ heterogeneous abilities to earn income are private information and evolve stochastically over time. Dynamic taxes are not restricted ex ante and are set for redistribution and insurance considerations. Capital is taxed only in order to improve incentives to work. Human capital is optimally subsidized if it reduces posttax inequality and risk on balance. The Ramsey approach

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2

Sent, Esther-Mirjam. "Enginering Dynamic Economics." History of Political Economy 29, suppl_1 (1997): 41–62. http://dx.doi.org/10.1215/00182702-1997-suppl_1009.

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3

Rosen, Sherwin. "Dynamic Animal Economics." American Journal of Agricultural Economics 69, no. 3 (1987): 547–57. http://dx.doi.org/10.2307/1241690.

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4

Baranzini, Mauro L. "Methods of dynamic economics." Journal of Economic Behavior & Organization 10, no. 2 (1988): 248–51. http://dx.doi.org/10.1016/0167-2681(88)90049-2.

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5

Kapoor, Madhavi, and Vijita Aggarwal. "Tracing the economics behind dynamic capabilities theory." International Journal of Innovation Science 12, no. 2 (2020): 187–201. http://dx.doi.org/10.1108/ijis-05-2019-0050.

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Purpose The purpose of this paper is to trace the evolution of dynamic capabilities theory in the primal theories of economics and strategic management. Then a comprehensive research framework is proposed to grapple with the dynamics of the contemporary global markets, incorporating the quintessential elements of the theory, i.e. absorptive capability, innovation capability and adoptive capability. Design/methodology/approach The paper is conceptual in nature. It tries to review various economic systems of the world since 1770s till the present era. It also evaluates various theories of intern

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6

Wilen, James E. "Economics of Spatial‐Dynamic Processes." American Journal of Agricultural Economics 89, no. 5 (2007): 1134–44. http://dx.doi.org/10.1111/j.1467-8276.2007.01074.x.

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7

Aslambekova, Natalia V., and Petimat L. Zulkarnayeva. "DYNAMIC METHODS OF TEACHING ECONOMICS." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 10/12, no. 151 (2024): 16–23. https://doi.org/10.36871/ek.up.p.r.2024.10.12.002.

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Internet platforms for teaching students are an innovative and increasingly pop-ular means in the educational sphere of our time. The article highlights the key advantages of such platforms for student learning, in particular, it emphasizes the opportunity for each student to study subjects at their own pace and at a convenient time. Research method. Particular attention is paid to the availability of a wide range of courses and educational programs available to students around the world. Platforms like Coursera and Moodle provide students with the opportunity to choose courses in a variety of

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8

Castro, Luciano, Antonio F. Galvao, and Daniel Nunes. "Dynamic economics with quantile preferences." Theoretical Economics 20, no. 1 (2025): 353–425. https://doi.org/10.3982/te5454.

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This paper studies a dynamic quantile model for intertemporal decisions under uncertainty, in which the decision maker maximizes the τ‐quantile of the stream of future utilities, for τ ∈ (0,1). We present two sets of contributions. First, we generalize existing results in directions that are important for applications. In particular, the sets of choices and random shocks are general metric spaces, either connected or finite. Moreover, the future state is not exclusively determined by the agent's choice, but can also be influenced by shocks. Under these generalizations, we establish the princip

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9

Stern, Nicholas. "Towards a dynamic public economics." Journal of Public Economics 86, no. 3 (2002): 335–39. http://dx.doi.org/10.1016/s0047-2727(01)00192-x.

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10

Brock, William A., Anastasios Xepapadeas, and Athanasios N. Yannacopoulos. "Optimal agglomerations in dynamic economics." Journal of Mathematical Economics 53 (August 2014): 1–15. http://dx.doi.org/10.1016/j.jmateco.2014.04.005.

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11

Wirl, Franz. "Dynamic policy games in economics." European Journal of Political Economy 6, no. 1 (1990): 143–46. http://dx.doi.org/10.1016/0176-2680(90)90042-h.

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12

Byrne, Patrick. "ECOLOGY, ECONOMY AND REDEMPTION AS DYNAMIC: THE CONTRIBUTIONS OF JANE JACOBS AND BERNARD LONERGAN." Worldviews: Global Religions, Culture, and Ecology 7, no. 1-2 (2003): 5–26. http://dx.doi.org/10.1163/156853503321916192.

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AbstractBernard Lonergan, S.J. and Jane Jacobs have devoted much of their intellectual careers to thinking out the dynamic natural-human environment. Lonergan and Jacobs worked in very different lines of research - systematic theology and urban economics, respectively. Despite predictable differences in their thought, there are also remarkable commonalities in their analyses. Both thinkers have argued that the same dynamic principles that govern the functioning of natural ecologies are also to be found when human social and economic systems function well, but are absent when human systems go w

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13

Berry, Steven T., and Giovanni Compiani. "Empirical Models of Industry Dynamics with Endogenous Market Structure." Annual Review of Economics 13, no. 1 (2021): 309–34. http://dx.doi.org/10.1146/annurev-economics-081720-120019.

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This article reviews recent developments in the study of firm and industry dynamics, with a special emphasis on the econometric endogeneity of market structure. The endogeneity of market structure follows from the presence of serially correlated unobservable shocks to the profitability of firms’ dynamic decisions, a feature common to many empirical settings. Methods that ignore endogeneity can lead to misleading parameter estimates and misleading counterfactual results. We pay particular attention to extensions of standard two-step methods that leverage instrumental variables to address endoge

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14

Becker, Otwin, and Ulrike Leopold-Wildburger. "Optimal dynamic control of predator–prey models." Central European Journal of Operations Research 28, no. 2 (2019): 425–40. http://dx.doi.org/10.1007/s10100-019-00656-7.

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Abstract This paper combines work to use a decision support tool for sustainable economic development, while acknowledging interdependent dynamics of population density, and interferences from outside. We get new insights derived from experimental approaches: analytical models (optimal dynamic control of predator–prey models) provide optimal dynamic strategies and interventions, depending on different objective functions. Our economic experiments are able to test the applicability of these strategies, and in how far decision-makers can learn to improve decision-making by repeated applications.

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15

Pomini, Mario. "ECONOMIC DYNAMICS AND THE CALCULUS OF VARIATIONS IN THE INTERWAR PERIOD." Journal of the History of Economic Thought 40, no. 1 (2018): 57–79. http://dx.doi.org/10.1017/s1053837217000116.

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Analogies with rational mechanics played a pivotal role in the search for formal models in economics. In the period between the two world wars, a small group of mathematical economists tried to extend this view from statics to dynamics. The main result was the extensive application of calculus of variations to obtain a dynamic representation of economic variables. This approach began with the contributions put forward by Griffith C. Evans, a mathematician who, in the first phase of his scientific career, published widely in economics. Evans’s research was further developed by his student Charl

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16

Lybbert, Travis J., Francisco B. Galarza, John McPeak, et al. "Dynamic Field Experiments in Development Economics: Risk Valuation in Morocco, Kenya, and Peru." Agricultural and Resource Economics Review 39, no. 2 (2010): 176–92. http://dx.doi.org/10.1017/s1068280500007231.

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The effective design and implementation of interventions that reduce vulnerability and poverty require a solid understanding of underlying poverty dynamics and associated behavioral responses. Stochastic and dynamic benefit streams can make it difficult for the poor to learn the value of such interventions to them. We explore how dynamic field experiments can help (i) intended beneficiaries to learn and understand these complicated benefit streams, and (ii) researchers to better understand how the poor respond to risk when faced with nonlinear welfare dynamics. We discuss and analyze dynamic r

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17

Rust, John. "Has Dynamic Programming Improved Decision Making?" Annual Review of Economics 11, no. 1 (2019): 833–58. http://dx.doi.org/10.1146/annurev-economics-080218-025721.

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Dynamic programming (DP) is a powerful tool for solving a wide class of sequential decision-making problems under uncertainty. In principle, it enables us to compute optimal decision rules that specify the best possible decision in any situation. This article reviews developments in DP and contrasts its revolutionary impact on economics, operations research, engineering, and artificial intelligence with the comparative paucity of its real-world applications to improve the decision making of individuals and firms. The fuzziness of many real-world decision problems and the difficulty in mathemat

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18

Golosov, Mikhail, and Aleh Tsyvinski. "Policy Implications of Dynamic Public Finance." Annual Review of Economics 7, no. 1 (2015): 147–71. http://dx.doi.org/10.1146/annurev-economics-080614-115538.

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19

Nelson, Richard R., and Sidney G. Winter. "Evolutionary Theorizing in Economics." Journal of Economic Perspectives 16, no. 2 (2002): 23–46. http://dx.doi.org/10.1257/0895330027247.

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This paper reviews the case for an evolutionary approach to problems of economic analysis, ranging from the details of individual firm behavior in the short run through industrial dynamics to the historical evolution of institutions and technologies. We draw upon a substantial body of recent research contributions. We characterize micro behavior as governed by skills and routines that are shaped by learning and selection. We then consider major areas of application of evolutionary thinking, including the analysis of competitive processes in technologically dynamic industries and the evolution

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20

He, Ji-Huan, Chun-Hui He, and Hamid M. Sedighi. "Evans model for dynamic economics revised." AIMS Mathematics 6, no. 9 (2021): 9194–206. http://dx.doi.org/10.3934/math.2021534.

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21

Safiullin, N. Z., and B. L. Safiullin. "Static and dynamic models in economics." Journal of Physics: Conference Series 1015 (May 2018): 032117. http://dx.doi.org/10.1088/1742-6596/1015/3/032117.

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22

Dolfsma, Wilfred. "Towards a dynamic (Schumpeterian) welfare economics." Research Policy 34, no. 1 (2005): 69–82. http://dx.doi.org/10.1016/j.respol.2004.11.002.

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23

McCauley, Joseph L. "Making dynamic modeling effective in economics." Physica A: Statistical Mechanics and its Applications 355, no. 1 (2005): 1–9. http://dx.doi.org/10.1016/j.physa.2005.02.064.

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24

Tarasova, Valentina V., and Vasily E. Tarasov. "Concept of dynamic memory in economics." Communications in Nonlinear Science and Numerical Simulation 55 (February 2018): 127–45. http://dx.doi.org/10.1016/j.cnsns.2017.06.032.

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25

Potts, Jason, and Stuart Thomas. "Toward a new (evolutionary) economics of sports." Sport, Business and Management: An International Journal 8, no. 1 (2018): 82–96. http://dx.doi.org/10.1108/sbm-04-2017-0023.

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Purpose The purpose of this paper is to propose a new classification of rules-driven sports and technology-driven sports that suggests different models of how sports develop. This paper outlines some key aspects of an evolutionary view of sports economics research and, separately, an institutional view of sports economic research. Design/methodology/approach This paper is a conceptual/theoretical piece rather than an empirical analysis of a research question. The authors scaffold a proposed analytic framework that is a combination of evolutionary economics and new institutional economics. Find

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26

Gates, Carolyn L. "Vietnam's Economic Transformation and Convergence with the Dynamic ASEAN Economies." Comparative Economic Studies 42, no. 4 (2000): 7–43. http://dx.doi.org/10.1057/ces.2000.22.

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27

Kozhukhіvska, Raisa, Nataliya Parubok, Nataliya Petrenko, Svitlana Podzihun, and Irina Udovenko. "Methods of assessment of efficiency of creating regional innovative clusters for dynamic development of economics." Investment Management and Financial Innovations 14, no. 3 (2017): 302–12. http://dx.doi.org/10.21511/imfi.14(3-2).2017.01.

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The deployment of a systemic economic crisis in Ukraine was conditioned by the aggravation of the socio-economic situation in certain regions and the build-up of structural deformations in the economy and the preservation of an inefficient model of production organization. This situation requires the search for a new model of economic growth, which is based on the use of competitive advantages of regions and a combination of industrial, scientific and managerial potential of the domestic economy. Clustering is a form of internal integration that can provide both sustainability and a synergisti

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28

Dabi, Rowland, Maya Sari, Nugraha Nugraha, Disman Disman, and Erik Alghifari. "FINANCIAL STRUCTURE AND ECONOMIC GROWTH NEXUS IN EMERGING ECONOMICS IN AFRICA." Jurnal Riset Bisnis dan Manajemen 17, no. 1 (2024): 41–52. http://dx.doi.org/10.23969/jrbm.v17i1.7877.

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The study investigates specifically the relationship between Gross Domestic Product (GDP), total stock market traded, market capitalization, private credit by deposit bank, human capital, foreign direct investment, population and trade openness (imports plus exports) and economic growth (GDP per capita). We use the extended endogenous growth model with specifications by employing dynamic panel data methodology. Our empirical application of the dynamic panel model to the finance–growth nexus is based on an unbalanced panel dataset of 29 middle-income African countries1 over the period 1990 – 20

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29

Onour, Ibrahim. "Dynamics of Crude Oil Price Change and Global Food Commodity Prices." Finance & Economics Review 3, no. 1 (2021): 38–50. http://dx.doi.org/10.38157/finance-economics-review.v3i1.248.

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Purpose: This study investigates the effect of crude oil price fluctuations (price change as well as volatility) on wheat, sugar, corn, and fertilizers price changes.  Methods: The study employs Markov switching dynamic regression, Dynamic Conditional Correlation (DCC), and Generalized Autoregressive Conditional Hetrosekadicity (GARCH) on monthly data covering the period from January 1988 to April 2018. Results: The findings of the research support evidence of two states. State 1, pertains to the low volatility of crude oil price, and state 2 belong to the case of the high volatili

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30

Kleinman, Benny, Ernest Liu, and Stephen J. Redding. "Dynamic Spatial General Equilibrium." Econometrica 91, no. 2 (2023): 385–424. http://dx.doi.org/10.3982/ecta20273.

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We incorporate forward‐looking capital accumulation into a dynamic discrete choice model of migration. We characterize the steady‐state equilibrium; generalize existing dynamic exact‐hat algebra techniques to incorporate investment; and linearize the model to provide an analytical characterization of the economy's transition path using spectral analysis. We show that capital and labor dynamics interact to shape the economy's speed of adjustment toward steady state. We implement our quantitative analysis using data on capital stocks, populations, and bilateral trade and migration flows for U.S.

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31

Caballero, Ricardo J., and Eduardo M. R. A. Engel. "Dynamic (S, s) Economies." Econometrica 59, no. 6 (1991): 1659. http://dx.doi.org/10.2307/2938284.

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32

Perona, Eugenia. "Birth and Early History of Nonlinear Dynamics in Economics." Revista de Economía y Estadística 43, no. 2 (2005): 29–60. http://dx.doi.org/10.55444/2451.7321.2005.v43.n2.3817.

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Since the 1980s, nonlinear dynamic modelling is becoming a popular methodology in economics. However, it is not as new as many researchers seem to believe. Before the linear approach dominated economic theory around the 1950s, many economists were actively involved in the development of nonlinear models, this tendency being particularly strong during the period 1930-1950. The main objective of this essay is to offer a systematic and comprehensive survey of the early developments in nonlinear dynamics in economics, ranging form Frisch’s original impulse and propagation model in 1933, to Goodwin

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Barkin, David. "Radical Ecological Economics: Decolonizing Our Work." Perspectives on Global Development and Technology 21, no. 5-6 (2023): 526–40. http://dx.doi.org/10.1163/15691497-12341646.

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Abstract Who are the peasants/Indigenous people and what is their role in the history and future of Mexico? Questioning the dominant version of the socio-political dynamics, I start with corn, a grain created in Mesoamerica, to develop one of most admired agroecological systems in the world. It contributes to good nutrition and health, (re)shaping social structures and the territory itself. Today’s communities, transformed into a Communitarian Revolutionary Subject provide a model for post-capitalist societies. I apply the framework of Radical Ecological Economics to illustrate and accompany t

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34

Rosser, J. Barkley, and Marina V. Rosser. "The Bielefeld School of economics, Post Keynesian economics, and dynamic complexity." Journal of Economic Behavior & Organization 212 (August 2023): 454–65. http://dx.doi.org/10.1016/j.jebo.2023.05.023.

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35

McDonald, Nicola J., and Garry W. McDonald. "Towards a Dynamic Equilibrium-Seeking Model of a Closed Economy." Systems 8, no. 4 (2020): 42. http://dx.doi.org/10.3390/systems8040042.

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Economics has long been concerned with the development of tools to help understand and describe the interactions among economic actors including the circular flow of economic resources. This paper expands our available toolkit of models, by describing a novel dynamic equilibrium-seeking model of a closed economy. The model retains many of the key features of state-of-the-art Computable General Equilibrium (CGE) models including economic interdependence, input substitution, nested production functions, and so on. A distinguishing feature of this model is that it adopts price-related balancing f

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36

Arellano, Manuel, and Stéphane Bonhomme. "Nonlinear Panel Data Methods for Dynamic Heterogeneous Agent Models." Annual Review of Economics 9, no. 1 (2017): 471–96. http://dx.doi.org/10.1146/annurev-economics-063016-104346.

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37

Arcidiacono, Peter, and Paul B. Ellickson. "Practical Methods for Estimation of Dynamic Discrete Choice Models." Annual Review of Economics 3, no. 1 (2011): 363–94. http://dx.doi.org/10.1146/annurev-economics-111809-125038.

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38

Amir, R., and A. Hadim. "Some structured dynamic programs arising in economics." Computers & Mathematics with Applications 24, no. 8-9 (1992): 209–18. http://dx.doi.org/10.1016/0898-1221(92)90199-r.

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39

Moroz, Yevhen, Mykola Galaburda, Alevtyna Kudinova, and Pavlo Galeta. "DYNAMICS AND METHODOLOGICAL ASPECTS OF ECONOMIC TRANSFORMATION." Financial and credit activity problems of theory and practice 1, no. 48 (2023): 229–37. http://dx.doi.org/10.55643/fcaptp.1.48.2023.3954.

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Emphasis is placed on the dynamics and methodological aspects of economic transformation. It is noted that consideration of the dynamic theory in economics continued in science for several centuries, and this issue remains relevant. The concept of "transformation" together with its content and essence has been studied. The study was conducted using a comparative method in order to define categories of "statics" and "dynamics". The difference between these terms was established by constructing a comparative table. The content and nature of dynamic theory as an integral component of the transfor

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40

Miftakhova, Alena, Karl Schmedders, and Malte Schumacher. "Computing Economic Equilibria Using Projection Methods." Annual Review of Economics 12, no. 1 (2020): 317–53. http://dx.doi.org/10.1146/annurev-economics-080218-025711.

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The analysis of dynamic economic models routinely leads to the mathematical problem of determining an unknown function for which no closed-form solution exists. Economists must then resort to methods of numerical approximation when analyzing such models. Among the computational methods that have been successfully applied in economics and finance, one set of techniques stands out due to its flexibility and robustness: projection methods. In this article, we describe the basic steps of these methods for several different applications, surveying many successful applications of projection methods

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41

ZHANG, WEIBIN. "Economic Growth with Tourism and Environmental Change." International Journal of Economics Development Research (IJEDR) 1, no. 2 (2020): 110–35. http://dx.doi.org/10.37385/ijedr.v1i2.53.

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The main purpose of this study is to examine dynamic interactions between economic growth, environmental change, and tourism. Although tourism is playing an increasingly important role in different economies, there are only a few theoretical models to dynamic economic and environmental issues with endogenous tourism. On the basis of the Solow-Uzawa growth model, the neoclassical growth model with environmental change, and ideas from tourism economics, we develop a three-sector growth model. The industrial and service sectors are perfectly competitive. The environment sector is financially supp

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42

Martin, John. "Supporting Dynamic Economic Adjustment." National Institute Economic Review 250 (November 2019): R15—R21. http://dx.doi.org/10.1177/002795011925000112.

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Executive SummaryEconomic policymaking in the UK has historically focussed more on the demand side than on the supply side of the economy. Yet it is on the supply side – the way in which an economy adapts to change while growing productive capacity on a sustainable basis – that medium- to long-term economic performance largely depends. There is an urgent need now to rebalance policy by focussing, in particular, on measures to enhance labour-force productivity, including radically enhanced support for training and skills development.This does not involve wholesale structural reform of the econo

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Susanto, Adi, Nurul Amini, and Retno Subekti. "Implementation of Expectation Value and Variance in Decision-Making with Risk in Economic Learning in High School." Jurnal Ilmiah Profesi Pendidikan 9, no. 2 (2024): 962–67. http://dx.doi.org/10.29303/jipp.v9i2.2208.

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Learning outcomes in economics learning at SMA Phase E that are related to material on production activities are that students understand the economic system as a way of organizing various economic activities to meet the various needs of society. Decision-making is commonly found in production activities, and every decision-making process has risks. To overcome this, the concept of probability is needed. Decision-making needs to be taught to students so that they can understand economic activities, which are always dynamic in nature, and the impact of these economic dynamics. Therefore, in lea

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44

Namazov, S. S. "POLITICAL AND ECONOMIC APPROACHES IN ECONOMY: INTERDISCIPLINARY ANALYSIS." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 2/5, no. 134 (2023): 13–19. http://dx.doi.org/10.36871/ek.up.p.r.2023.02.05.002.

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This scientific article explores the relationship between politics and economics within the field of economics, focusing on various approaches that integrate political factors into economic analysis. It examines how political institutions, strategies, and ideologies shape economic outcomes and decision–making processes. Delving into the dynamic interaction between politics and economics, this article sheds light on the importance of understanding political factors in economic analysis and policy–making.

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45

Bianchi, Patrizio, and Sandrine Labory. "Dynamic gravitation and structural dynamics: From Smith to Modern theory." Structural Change and Economic Dynamics 60 (March 2022): 90–98. http://dx.doi.org/10.1016/j.strueco.2021.11.009.

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46

Huang, Ling, and Martin D. Smith. "The Dynamic Efficiency Costs of Common-Pool Resource Exploitation." American Economic Review 104, no. 12 (2014): 4071–103. http://dx.doi.org/10.1257/aer.104.12.4071.

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We conduct the first empirical investigation of common-pool resource users' dynamic and strategic behavior at the micro level using real-world data. Fishermen's strategies in a fully dynamic game account for latent resource dynamics and other players' actions, revealing the profit structure of the fishery. We compare the fishermen's actual and socially optimal exploitation paths under a time-specific vessel allocation policy and find a sizable dynamic externality. Individual fishermen respond to other users by exerting effort above the optimal level early in the season. Congestion is costly in

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47

Kamihigashi, Takashi, and John Stachurski. "Seeking ergodicity in dynamic economies." Journal of Economic Theory 163 (May 2016): 900–924. http://dx.doi.org/10.1016/j.jet.2016.03.006.

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48

KAYIKÇI, Fazıl, and Mustafa KESGİN. "Contributions of Institutional Economics to Economic Thought." Yildiz Social Science Review 8, no. 1 (2022): 52–64. http://dx.doi.org/10.51803/yssr.1146878.

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It is seen that interest in the effects of human behavior on economic events and phenomena has been increasing in recent years. In this context, institutions where behaviors become a set of formal-informal rules that determine the boundaries of choice for the stakeholders of the society from thought to action and form the framework of individual action by gaining stability, are of great importance in terms of developing an economic thinking system compatible with the real world. With its dynamic perspective on economic events and phenomena, the institutional economic tradition has revealed imp

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49

Vincent, Daniel R. "Dynamic Auctions." Review of Economic Studies 57, no. 1 (1990): 49. http://dx.doi.org/10.2307/2297542.

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50

Anderson, Axel, and Lones Smith. "Dynamic Deception." American Economic Review 103, no. 7 (2013): 2811–47. http://dx.doi.org/10.1257/aer.103.7.2811.

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We characterize the unique equilibrium of a competitive continuous time game between a resource-constrained informed player and a sequence of rivals who partially observe his action intensity. Our game adds noisy monitoring and impatient players to Aumann and Maschler (1966), and also subsumes insider trading models. The intensity bound induces a novel strategic bias and serial mean reversion by uninformed players. We compute the duration of the informed player's informational edge. The uninformed player's value of information is concave if the intensity bound is large enough. Costly obfuscati

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