Thematische Bibliographien / ECONOMIC DYNAMICS MODEL

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Auswahl der wissenschaftlichen Literatur zum Thema „ECONOMIC DYNAMICS MODEL“

Autor: Grafiati

Veröffentlicht am 24. Juni 2021

Zuletzt aktualisiert am 4. Februar 2022

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Zeitschriftenartikel zum Thema "ECONOMIC DYNAMICS MODEL"

Bosi, Stefano, und David Desmarchelier. „An economic model of metapopulation dynamics“. Ecological Modelling 387 (November 2018): 196–204. http://dx.doi.org/10.1016/j.ecolmodel.2018.09.013.

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Yoshikawa, M., N. Toshida, H. Kawamura, Y. Harada, M. Tsurugai und Y. Nakata. „Boiler-Dynamics-Model-Based Economic Load Dispatch“. IFAC Proceedings Volumes 29, Nr. 1 (Juni 1996): 6951–56. http://dx.doi.org/10.1016/s1474-6670(17)58800-x.

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Zhang, Guangyuan, James McCalley und Qin Wang. „An AGC Dynamics-Constrained Economic Dispatch Model“. IEEE Transactions on Power Systems 34, Nr. 5 (September 2019): 3931–40. http://dx.doi.org/10.1109/tpwrs.2019.2908988.

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Stepanenko, O., Yu Maistrenko und S. Yousefi. „Complicated dynamics of an interacting economic model“. Nonlinear Oscillations 7, Nr. 2 (April 2004): 254–61. http://dx.doi.org/10.1007/s11072-005-0010-1.

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McDonald, Nicola J., und Garry W. McDonald. „Towards a Dynamic Equilibrium-Seeking Model of a Closed Economy“. Systems 8, Nr. 4 (04.11.2020): 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 feedback loops that simulate the self-regulating behaviour of a dynamic economic system. Our modelling shows not only equilibrium states (as per conventional CGE models), but the transition path toward an often-changing equilibrium. This facilitates the investigation of out-of-equilibrium dynamics and behaviour adaptation typical of largescale disruption events.

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Milić Beran, Ivona. „SYSTEM-DYNAMIC MODELING OF THE IMPACT OF SOCIAL CAPITAL ON ECONOMIC GROWTH“. DIEM: Dubrovnik International Economic Meeting 6, Nr. 1 (September 2021): 25–32. http://dx.doi.org/10.17818/diem/2021/1.3.

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This paper presents a qualitative and quantitative system-dynamic modeling of the impact of social capital on economic growth. Social capital is the most problematic of all the concepts that determine progress. On a broad conceptual level, there is agreement about the importance of social capital, which has been used to explain differences in progress among nations with similar natural, human and physical capital. Recent research suggests that it is more important to include an explanation of the interaction of economic actors and their organization when measuring progress than to measure progress without the influence of social capital. The purpose of this paper is to develop a system-dynamic model of the impact of social capital on economic growth that will enable better understanding and management of social capital. In order to build a system dynamics model, the paper will: provide an analysis and overview of social capital and system dynamics; develop a system dynamics structural and mental-verbal model of the impact of social capital on economic growth; and develop a mathematical model of economic growth. This will provide a practical insight into the dynamic behavior of the observed system, i.e., analyzing economic growth and observing the mutual correlation between individual parameters. Keywords: social capital, economic growth, system dynamics, structural model

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Liu, Wei, und Yaolin Jiang. „Modeling and dynamics of an ecological-economic model“. International Journal of Biomathematics 12, Nr. 03 (April 2019): 1950030. http://dx.doi.org/10.1142/s179352451950030x.

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In this paper, an eco-economic model with harvesting on biological population is established, which takes the form of a differential-algebra system. The impact of the economic profit from harvesting upon the dynamics of the model is studied. By using a suitable parameterization for the differential-algebra system, we derive an equivalent parameterized system which gives the stability results for the positive equilibrium point of our model. Moreover, based on the parameterized system as well as the approaches of normal form and formal series, the conditions on the Hopf bifurcation and the stability of center are obtained. Several numerical simulations for demonstrating the theoretical results are also presented. Lastly, according to the dynamical analysis, we provide a threshold value for the economic profit, which can maintain the sustainable development of our eco-economic system.

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GRAUWIN, SEBASTIAN, DOMINIC HUNT, ERIC BERTIN und PABLO JENSEN. „EFFECTIVE FREE ENERGY FOR INDIVIDUAL DYNAMICS“. Advances in Complex Systems 14, Nr. 04 (August 2011): 529–36. http://dx.doi.org/10.1142/s0219525911003128.

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Physics and economics are two disciplines that share the common challenge of linking microscopic and macroscopic behaviors. However, while physics is based on collective dynamics, economics is based on individual choices. This conceptual difference is one of the main obstacles one has to overcome in order to characterize analytically economic models. In this paper, we build both on statistical mechanics and the game theory notion of Potential Function to introduce a rigorous generalization of the physicist's free energy, which includes individual dynamics. Our approach paves the way to analytical treatments of a wide range of socio-economic models and might bring new insights into them. As first examples, we derive solutions for a congestion model and a residential segregation model.

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Ferrer-Comalat, Joan Carles, Dolors Corominas-Coll und Salvador Linares-Mustarós. „A Fuzzy Economic Dynamic Model“. Mathematics 9, Nr. 8 (10.04.2021): 826. http://dx.doi.org/10.3390/math9080826.

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In the study presented here, fuzzy logic was used to analyze the behavior of a model of economic dynamics that assumes income to be in equilibrium when it is composed of consumption and investment, that is, when savings and investment are equal. The study considered that consumption and savings depend on the income of the previous period through uncertain factors, and, at the same time, that investment is an uncertain magnitude across various periods, represented as a fuzzy number with a known membership function. Under these conditions, the model determines the factor of income growth and investments required to maintain equilibrium, as well as the uncertain values of income for the different periods, expressed through fuzzy numbers. The study also analyzes the conditions for their convergence and the fuzzy value that income represents in equilibrium.

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Bertotti, M. L., A. K. Chattopadhyay und G. Modanese. „Uncertainty dynamics in a model of economic inequality“. International Journal of Design & Nature and Ecodynamics 13, Nr. 1 (01.01.2018): 16–22. http://dx.doi.org/10.2495/dne-v13-n1-16-22.

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Dissertationen zum Thema "ECONOMIC DYNAMICS MODEL"

Toni. „Economic model of mine closure and its potential for economic transformation“. Doctoral thesis, Technische Universitaet Bergakademie Freiberg Universitaetsbibliothek "Georgius Agricola", 2015. http://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa-162978.

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In Indonesia, the various mining commodities and the amount of resources and reserves are promising, as evidence there are numerous large-scale mining companies and small-scale mines in operation. In 2014 there were 41 companies that held the CoW (mineral contract of work) and 13 companies active in production; and 76 CCoW (coal contract of work) holders, and 57 companies active in production. As well as this, there are more than a thousand small-scale mining companies active for mining commodities. However, mining commodities provide a resource that is not renewable. This will potentially lead to prolonged problems when mining companies do not adhere to good mining practices, particularly in the closing stages of the mine. Mine closure is the final stage in the process of mining activity. In certain circumstances, closure activities can take a long time and of course can have huge costs. In fact, at this stage, the company is no longer making profit, only incurring costs for the project closure. To prevent problems that may arise after the mine is closed, such as abandoned post-mining land, and the bankruptcy of the company at the end of mining operations, etc., then through specific rules, ie rules of the Minister of Energy and Mineral Resources No. 18 of 2008, the mining company in Indonesia must provide a certain amount of money as a financial guarantee to finance the planned closure project; it must be approved by the government before entering this phase. However, problems are encountered in practice. The government may become overloaded because they have to quickly make a decision on the closure plan submitted by the company. So a tool is needed that can be used to assess the feasibility as soon as the mine closure plan is proposed by a company, these tools can provide an overview and a variety of options for decision making. In this dissertation methodology was developed to create a systems dynamic model of mine closure. The model developed can be applied to a variety of mining methods and for various mining commodities. The model can be used to determine the closure costs, to choose the closure project-financing scenario, and up to micro and macro economic analysis of mining activities in the region. In the case studies conducted in this dissertation, the best scenario of the mine closure planning is to include the everlasting fund in the form of time deposits, and convert the post-mining land for agriculture. The amount of deposit money is about USD 358,986,500 should be spare at the end of mine production, and the total of mine closure cost to be approximately USD 440,757,384. Agriculture, the economic sector as a substitute for the mining sector, the added value to the GRDP (Gross Regional Domestic Product) is about 0.25 % / a for the province, and 1.68 % for the regency, but the contribution of the mining sector to GRDP was 30% / a at province scale, and 90% / a at regency scale. So that the substitution value is less significant to GRDP growth. However, this scenario is the best scenario among others, due to consideration is the certainty of ecological and economic sustainability. it is the best goal of corporate social responsibility to the environment in the post- mining land.

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Schmidt, Gordon W. „Dynamics of endogenous economic growth : a case study of the "Romer model" /“. Amsterdam [u.a.] : Elsevier, 2003. http://www.loc.gov/catdir/enhancements/fy0614/2003043910-d.html.

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Reda, Hussein Murad Ali. „A theory for national industrial development presented in a system dynamics model“. Diss., Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/76481.

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The dissertation presents a system dynamics model for national industrial development in developing economies. A development system is defined by national boundary, components and activities. The system is represented by ten activity sectors grouped into three functional classes: (1) Two driving sectors comprising population and investment capital sectors; (2) Seven industrial sectors: resources, manufacturing, agriculture, physical infrastructure, services, technology, and social infrastructure; and (3) An outlet sector represented by a trade sector. The model's general theory of industrial development dynamics is described by causal feedback loops. A causal feedback loop consists of two or more interrelated variables where a change in one of the loop's variables causes all others to change as well. The industrial development model's specific structure evolved by applying the causal feedback theory to the system activity sectors. The model is written in DYNAMO, a continuous system, computer simulation language. A prototype model run illustrated the basic development process and possible effects of alternative policies. Several conclusions were drawn regarding sensitive system parameters and various development policies. In addition, three developing-country examples representing low, middle, and high income groups were evaluated. Recommendations about model use and system analysis were presented. The industrial development model is intended to aid during development analysis and planning phases.
Ph. D.

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Schmidt, Gordon 1946. „Dynamics of endogenous economic growth theory and related issues : a case study of the "Romer model"“. Monash University, Dept. of Economics, 2001. http://arrow.monash.edu.au/hdl/1959.1/8832.

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Erdogan, Ezgi. „A Complex Dynamical Systems Model Of Education, Research, Employment, And Sustainable Human Development“. Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/3/12612138/index.pdf.

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Economic events of this era reflect the fact that the value of information and technology has surpassed the value of physical production. This motivates countries to focus on increasing the education levels of citizens. However, policy making about education system and its returns requires dynamical analyses in order to be sustainable. The study aims to investigate the dynamic characteristics of a country-wide education system, in particular, that of Turkey. System Dynamics modeling, which is one of the most commonly referred tools for understanding the complex social structures, is used. Our model introduces dynamic relationships among different classes of labor forces with varying education levels, university admissions, research quality, and the investments made in education, research and other sectors. Model experimentation provides new insights into the investment and capacity-related aspects of the education system environment.

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Kellie-Smith, Owen. „Relating forced climate change to natural variability and emergent dynamics of the climate-economy system“. Thesis, University of Exeter, 2010. http://hdl.handle.net/10036/115194.

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This thesis is in two parts. The first part considers a theoretical relationship between the natural variability of a stochastic model and its response to a small change in forcing. Over a large enough scale, both the real climate and a climate model are characterised as stochastic dynamical systems. The dynamics of the systems are encoded in the probabilities that the systems move from one state into another. When the systems’ states are discretised and listed, then transition matrices of all these transition probabilities may be formed. The responses of the systems to a small change in forcing are expanded in terms of the eigenfunctions and eigenvalues of the Fokker-Planck equations governing the systems’ transition densities, which may be estimated from the eigenvalues and eigenvectors of the transition matrices. Smoothing the data with a Gaussian kernel improves the estimate of the eigenfunctions, but not the eigenvalues. The significance of differences in two systems’ eigenvalues and eigenfunctions is considered. Three time series from HadCM3 are compared with corresponding series from ERA-40 and the eigenvalues derived from the three pairs of series differ significantly. The second part analyses a model of the coupled climate-economic system, which suggests that the pace of economic growth needs to be reduced and the resilience to climate change needs to be increased in order to avoid a collapse of the human economy. The model condenses the climate-economic system into just three variables: a measure of human wealth, the associated accumulation of greenhouse gases, and the consequent level of global warming. Global warming is assumed to dictate the pace of economic growth. Depending on the sensitivity of economic growth to global warming, the model climate-economy system either reaches an equilibrium or oscillates in century-scale booms and busts.

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Steinbach, Max Rudibert. „Essays on dynamic macroeconomics“. Thesis, Stellenbosch : Stellenbosch University, 2014. http://hdl.handle.net/10019.1/86196.

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Thesis (PhD)--Stellenbosch University, 2014.
ENGLISH ABSTRACT: In the first essay of this thesis, a medium scale DSGE model is developed and estimated for the South African economy. When used for forecasting, the model is found to outperform private sector economists when forecasting CPI inflation, GDP growth and the policy rate over certain horizons. In the second essay, the benchmark DSGE model is extended to include the yield on South African 10-year government bonds. The model is then used to decompose the 10-year yield spread into (1) the structural shocks that contributed to its evolution during the inflation targeting regime of the South African Reserve Bank, as well as (2) an expected yield and a term premium. In addition, it is found that changes in the South African term premium may predict future real economic activity. Finally, the need for DSGE models to take account of financial frictions became apparent during the recent global financial crisis. As a result, the final essay incorporates a stylised banking sector into the benchmark DSGE model described above. The optimal response of the South African Reserve Bank to financial shocks is then analysed within the context of this structural model.

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Bazzazan, Fatemeh. „A dynamic input-output price model with application to Iran“. Thesis, University of Liverpool, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.250332.

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Krichel, Thomas. „Growth and fiscal policy in dynamic optimising models“. Thesis, University of Surrey, 1999. http://epubs.surrey.ac.uk/844562/.

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This PhD thesis considers the dynamics of fiscal policy in a two-country world when growth is driven by the accumulation of private capital and public infrastructure. I study permanent growth differentials, the dynamics of optimal and time-consistent policies, the issue of policy coordination, as well as the accumulation of debt.

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Tilley, Luke Alan. „Dynamic Energy Models and Carbon Mitigation Policies“. Diss., Temple University Libraries, 2012. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/201311.

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Economics
Ph.D.
In this dissertation I examine a specific class of energy models and their implications for carbon mitigation policies. The class of models includes a production function capable of reproducing the empirically observed phenomenon of short run rigidity of energy use in response to energy price changes and long run flexibility of energy use in response to energy price changes. I use a theoretical model, parameterized using empirical data, to simulate economic performance under several tax regimes where taxes are levied on capital income, investment, and energy. I also investigate transitions from one tax regime to another. I find that energy taxes intended to reduce energy use can successfully achieve those goals with minimal or even positive impacts on macroeconomic performance. But the transition paths to new steady states are lengthy, making political commitment to such policies very challenging.
Temple University--Theses

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Bücher zum Thema "ECONOMIC DYNAMICS MODEL"

King, Robert G. Transitional dynamics and economic growth in the neoclassical model. Cambridge, MA: National Bureau of Economic Research, 1989.

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Schmidt, Gordon W. Dynamics of endogenous economic growth: A case study of the "Romer model". Amsterdam: Elsevier, 2003.

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Dynamics of endogenous economic growth: A case study of the "Romer model". Amsterdam: Elsevier, 2003.

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Sampson, David B. Fishing technology and fleet dynamics: Predictions from a bio-economic model. Portsmouth: Portsmouth Polytechnic, Centre for Marine Resource Economics, 1990.

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Burgess, Simon M. An economic model of household income dynamics, with an application to poverty dynamics among American women. London: London School of Economics and Political Science, Centre for Analysis of Social Exclusion, 1998.

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Yang, Zhou. Prescription drugs, medical care, and health outcomes: A model of elderly health dynamics. Cambridge, Mass: National Bureau of Economic Research, 2004.

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Wernerheim, C. Michael. Bioeconomic dynamics of a natural resource: A capital-theoretic model for empirical analysis. Vancouver: Forest Economics and Policy Analysis Research Unit, University of B.C., 1987.

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Ndekwu, Eddy Chicka. Population dynamics and economic policy: A simulation model for analysing impact of macroeconomic policies on population in Nigeria. [Ibadan]: NISER, 1998.

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Sonnenschein, Hugo F., Hrsg. Models of Economic Dynamics. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-51645-0.

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Gandolfo, Giancarlo. Economic dynamics. 3. Aufl. Berlin: Springer, 1996.

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Buchteile zum Thema "ECONOMIC DYNAMICS MODEL"

Matsumoto, Akio, und Ferenc Szidarovszky. „Delay Kaldor–Kalecki Model Revisited“. In Essays in Economic Dynamics, 191–206. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1521-2_11.

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Zellner, Arnold. „The Marshallian Macroeconomic Model“. In Economic Theory, Dynamics and Markets, 19–29. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1677-4_2.

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Levy, Robert G., Thomas P. Oléron Evans und Alan Wilson. „A Global Inter-country Economic Model Based on Linked Input-Output Models“. In Global Dynamics, 51–72. Chichester, UK: John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781118937464.ch4.

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Angelini, Natascia, Giacomo Bormetti, Stefano Marmi und Franco Nardini. „A Stylized Model for Long-Run Index Return Dynamics“. In Essays in Economic Dynamics, 111–22. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1521-2_7.

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Aoki, Masanao. „A New Model of Industry Dynamics“. In The Complex Dynamics of Economic Interaction, 3–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-17045-4_1.

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Bodnar, Gordon M., und Richard C. Marston. „A Simple Model of Foreign Exchange Exposure“. In Economic Theory, Dynamics and Markets, 275–86. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1677-4_21.

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Gigengack, A. R., H. de Haan und C. J. Jepma. „Military Expenditure Dynamics and a World Model“. In Peace, Defence and Economic Analysis, 321–41. London: Palgrave Macmillan UK, 1987. http://dx.doi.org/10.1007/978-1-349-18898-7_15.

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Akabayashi, Hideo. „An Equilibrium Model of Child Maltreatment“. In Behavioral Interactions, Markets, and Economic Dynamics, 3–41. Tokyo: Springer Japan, 2016. http://dx.doi.org/10.1007/978-4-431-55501-8_1.

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Bottazzi, Giulio. „A Simple Micro-Model of Market Dynamics“. In The Complex Dynamics of Economic Interaction, 213–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-17045-4_12.

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Giardina, Irene, und Jean-Philippe Bouchaud. „Volatility Clustring In Agent Based Market Model“. In The Complex Dynamics of Economic Interaction, 171–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-17045-4_10.

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Konferenzberichte zum Thema "ECONOMIC DYNAMICS MODEL"

Wang, Yuxuan, Xiaolu Liu und Xiao Liang. „Logistics cost control based on system dynamics in chain retail industry“. In 2020 2nd International Conference on Economic Management and Model Engineering (ICEMME). IEEE, 2020. http://dx.doi.org/10.1109/icemme51517.2020.00039.

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Chen, Lu, und Hanhui Hu. „Sustainable Management Strategy of China Medical City Based on System Dynamics Model“. In 2020 2nd International Conference on Economic Management and Model Engineering (ICEMME). IEEE, 2020. http://dx.doi.org/10.1109/icemme51517.2020.00022.

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Zhang, Yuan. „Research on Financial Support Effect in Resource-based Urban Transformation and Development Based on System Dynamics Model : Taking Tongchuan City as an example“. In 2020 2nd International Conference on Economic Management and Model Engineering (ICEMME). IEEE, 2020. http://dx.doi.org/10.1109/icemme51517.2020.00081.

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Zhang, Yi-xin. „Study on the Performance of Regional Economic Structure System by System Dynamics Model“. In 2008 International Symposiums on Information Processing - ISIP 2008; 2008 International Pacific Workshop on Web Mining and Web-Based Application - WMWA 2008. IEEE, 2008. http://dx.doi.org/10.1109/isip.2008.75.

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Barazandeh, Babak, und Mohammadhussein Rafieisakhaei. „A system dynamics model on the reasons of car price shocks after economic sanctions“. In 2015 Winter Simulation Conference (WSC). IEEE, 2015. http://dx.doi.org/10.1109/wsc.2015.7408479.

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Ellis, Matthew J. „Formulation of Economic Model Predictive Control to Address System Dynamics over Multiple Time Scales“. In 2020 American Control Conference (ACC). IEEE, 2020. http://dx.doi.org/10.23919/acc45564.2020.9147829.

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Yang, Zining. „Integrating Agent Learning with System Dynamics in an Agent-Based Model of Economic Development“. In CSS 2017: CSSSA's Annual Conference on Computational Social Science. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3145574.3145599.

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Bozhalkina, Yana, und Galina Timofeeva. „Markov model of the loan portfolio dynamics considering influence of management and external economic factors“. In APPLICATIONS OF MATHEMATICS IN ENGINEERING AND ECONOMICS (AMEE’16): Proceedings of the 42nd International Conference on Applications of Mathematics in Engineering and Economics. Author(s), 2016. http://dx.doi.org/10.1063/1.4968444.

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Alhneaish, Mohamed M., Mohamed L. Shaltout und Sayed M. Metwalli. „An Economic Model Predictive Control Approach for Wind Power Smoothing and Tower Load Mitigation“. In ASME 2018 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/dscc2018-9032.

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An economic model predictive control framework is presented in this study for an integrated wind turbine and flywheel energy storage system. The control objective is to smooth wind power output and mitigate tower fatigue load. The optimal control problem within the model predictive control framework has been formulated as a convex optimal control problem with linear dynamics and convex constraints that can be solved globally. The performance of the proposed control algorithm is compared to that of a standard wind turbine controller. The effect of the proposed control actions on the fatigue loads acting on the tower and blades is studied. The simulation results, with various wind scenarios, showed the ability of the proposed control algorithm to achieve the aforementioned objectives in terms of smoothing output power and mitigating tower fatigue load at the cost of a minimal reduction of the wind energy harvested.

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Ilic, Marija D., Jeffrey H. Lang und Eric H. Allen. „The role of numerical tools in maintaining reliability during economic transfers An illustration using the NPCC equivalent system model“. In 2007 iREP Symposium - Bulk Power System Dynamics and Control - VII. Revitalizing Operational Reliability. IEEE, 2007. http://dx.doi.org/10.1109/irep.2007.4410575.

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Berichte der Organisationen zum Thema "ECONOMIC DYNAMICS MODEL"

King, Robert, und Sergio Rebelo. Transitional Dynamics and Economic Growth in the Neoclassical Model. Cambridge, MA: National Bureau of Economic Research, November 1989. http://dx.doi.org/10.3386/w3185.

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Chang, Roberto, Humberto Martínez und Andrés Velasco. Pandemics, Incentives, and Economic Policy: A Dynamic Model. Cambridge, MA: National Bureau of Economic Research, April 2021. http://dx.doi.org/10.3386/w28636.

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Hansen, Lars Peter, und Thomas Sargent. Recursive Linear Models of Dynamic Economies. Cambridge, MA: National Bureau of Economic Research, Oktober 1990. http://dx.doi.org/10.3386/w3479.

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Turnovsky, Stephen. Monetary Growth, Inflation, and Economic Activity in a Dynamic Macro Model. Cambridge, MA: National Bureau of Economic Research, Januar 1987. http://dx.doi.org/10.3386/w2133.

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Judd, Kenneth, Lilia Maliar und Serguei Maliar. Numerically Stable Stochastic Simulation Approaches for Solving Dynamic Economic Models. Cambridge, MA: National Bureau of Economic Research, August 2009. http://dx.doi.org/10.3386/w15296.

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Verburg, Peter H., Žiga Malek, Sean P. Goodwin und Cecilia Zagaria. The Integrated Economic-Environmental Modeling (IEEM) Platform: IEEM Platform Technical Guides: User Guide for the IEEM-enhanced Land Use Land Cover Change Model Dyna-CLUE. Inter-American Development Bank, September 2021. http://dx.doi.org/10.18235/0003625.

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The Conversion of Land Use and its Effects modeling framework (CLUE) was developed to simulate land use change using empirically quantified relations between land use and its driving factors in combination with dynamic modeling of competition between land use types. Being one of the most widely used spatial land use models, CLUE has been applied all over the world on different scales. In this document, we demonstrate how the model can be used to develop a multi-regional application. This means, that instead of developing numerous individual models, the user only prepares one CLUE model application, which then allocates land use change across different regions. This facilitates integration with the Integrated Economic-Environmental Modeling (IEEM) Platform for subnational assessments and increases the efficiency of the IEEM and Ecosystem Services Modeling (IEEMESM) workflow. Multi-regional modelling is particularly useful in larger and diverse countries, where we can expect different spatial distributions in land use changes in different regions: regions of different levels of achieved socio-economic development, regions with different topographies (flat vs. mountainous), or different climatic regions (dry vs humid) within a same country. Accounting for such regional differences also facilitates developing ecosystem services models that consider region specific biophysical characteristics. This manual, and the data that is provided with it, demonstrates multi-regional land use change modeling using the country of Colombia as an example. The user will learn how to prepare the data for the model application, and how the multi-regional run differs from a single-region simulation.

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Devereux, Michael, und Charles Engel. Endogenous Currency of Price Setting in a Dynamic Open Economy Model. Cambridge, MA: National Bureau of Economic Research, Oktober 2001. http://dx.doi.org/10.3386/w8559.

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Hansen, Lars Peter, und Ravi Jagannathan. Implications of Security Market Data for Models of Dynamic Economies. Cambridge, MA: National Bureau of Economic Research, Mai 1990. http://dx.doi.org/10.3386/t0089.

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Diebold, Francis, Lee Ohanian und Jeremy Berkowitz. Dynamic Equilibrium Economies: A Framework for Comparing Models and Data. Cambridge, MA: National Bureau of Economic Research, Februar 1995. http://dx.doi.org/10.3386/t0174.

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Mulligan, Casey, und Xavier Sala-i-Martin. A Note on the Time-Elimination Method For Solving Recursive Dynamic Economic Models. Cambridge, MA: National Bureau of Economic Research, November 1991. http://dx.doi.org/10.3386/t0116.

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