Glötzl, Erhard (2022): General Constrained Dynamic (GCD) models with intertemporal utility functions.
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Abstract
In economics balance identities as e.g. C+K'-Y(L,K)=0 must always apply. Therefore, they are called constraints. This means that variables C,K,L cannot change independently of each other. In general equilibrium theory (GE) the solution for the equilibrium is obtained as an optimisation under the above or similar constraints. The standard method for modelling dynamics in macroeconomics are Dynamic Stochastic General Equilibrium (DSGE) models. Dynamics in DSGE models result from the maximisation of an intertemporal utility function that results in the Euler-Lagrange equations. The Euler-Lagrange equations are differential equations that determine the dynamics of the system. In Glötzl, Glötzl, und Richters (2019) we have introduced an alternative method to model dynamics, which constitutes a natural extension of GE theory. This approach is based on the standard method for modelling dynamics under constraints in physics. We therefore call models of this type "General Constrained Dynamic (GCD)" models. In Glötzl (2022b) this modelling method is described for non-intertemporal utility functions in macroeconomics. Since intertemporal utility functions are, however, essential for many economic models, this paper sets out to extend the GCD modelling framework to intertemporal GCD models, referred to as IGCD models in the following. This paper sets out to define the principles of formulating IGCD models and show how IGCD can be understood as a generalisation and alternative to DSGE models.
Item Type: | MPRA Paper |
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Original Title: | General Constrained Dynamic (GCD) models with intertemporal utility functions |
English Title: | General Constrained Dynamic (GCD) models with intertemporal utility functions |
Language: | English |
Keywords: | macroeconomic models, intertemporal utility function, constraint dynamics, GCD, DSGE, out-of-equilibrium dynamics, Lagrangian mechanics, stock flow consistent, SFC |
Subjects: | A - General Economics and Teaching > A1 - General Economics > A12 - Relation of Economics to Other Disciplines B - History of Economic Thought, Methodology, and Heterodox Approaches > B1 - History of Economic Thought through 1925 > B13 - Neoclassical through 1925 (Austrian, Marshallian, Walrasian, Stockholm School) B - History of Economic Thought, Methodology, and Heterodox Approaches > B4 - Economic Methodology > B41 - Economic Methodology B - History of Economic Thought, Methodology, and Heterodox Approaches > B5 - Current Heterodox Approaches > B59 - Other C - Mathematical and Quantitative Methods > C0 - General > C02 - Mathematical Methods C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C30 - General C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C54 - Quantitative Policy Modeling C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C60 - General E - Macroeconomics and Monetary Economics > E1 - General Aggregative Models > E10 - General |
Item ID: | 112387 |
Depositing User: | Erhard Glötzl |
Date Deposited: | 21 Mar 2022 09:41 |
Last Modified: | 21 Mar 2022 09:41 |
References: | Flannery, Martin Raymond. 2011. „D’Alembert–Lagrange analytical dynamics for nonholonomic systems“. Journal of Mathematical Physics 52 (3): 032705. https://doi.org/10.1063/1.3559128. Glötzl, Erhard. 2015. „Why and How to overcome General Equilibrium Theory“. MPRA Paper 66265. https://mpra.ub.uni-muenchen.de/66265/1/MPRA_paper_66265.pdf. ———. 2022a. „A simple General Constrained Dynamics (GCD) model for demand, supply and price shocks“. https://www.dropbox.com/s/2h8o3rg0r4b008b/Macroeconomic%20GCD%20Modelle%20A%2CB%2CC%20FINAL%20Version%202.docx?dl=0. ———. 2022b. „Macroeconomic General Constrained Dynamic models (GCD models)“. https://www.dropbox.com/s/2h8o3rg0r4b008b/Macroeconomic%20GCD%20Modelle%20A%2CB%2CC%20FINAL%20Version%202.docx?dl=0. Glötzl, Erhard, und Lucas Binter. 2022. „GCDconfigurator, GitHub“. https://github.com/lbinter/gcd. Glötzl, Erhard, Florentin Glötzl, und Oliver Richters. 2019. „From Constrained Optimization to Constrained Dynamics: Extending Analogies between Economics and Mechanics“. Journal of Economic Interaction and Coordination 14 (3): 623–42. https://doi.org/10.1007/s11403-019-00252-7. Godley, Wynne, und Marc Lavoie. 2012. Monetary economics: an integrated approach to credit, money, income, production and wealth. 2. Aufl. Basingstoke and New York: Palgrave Macmillan. Kappes, Sylvio Antonio, und Marcelo Milan. 2020. „Dealing with Adaptive Expectations in Stock-Flow Consistent Models“. Journal of Post Keynesian Economics 43 (1): 76–89. https://doi.org/10.1080/01603477.2019.1640067. Richters, Oliver. 2021. „Modeling the Out-of-Equilibrium Dynamics of Bounded Rationality and Economic Constraints“. Journal of Economic Behavior & Organization 188 (August): 846–66. https://doi.org/10.1016/j.jebo.2021.06.005. Richters, Oliver, und Erhard Glötzl. 2020. „Modeling Economic Forces, Power Relations, and Stock-Flow Consistency: A General Constrained Dynamics Approach“. Journal of Post Keynesian Economics 43 (2): 281–97. https://doi.org/10.1080/01603477.2020.1713008. Smale Institute. 2003. „Smale Institute Mathematics & Computation“. 2003. http://www.smaleinstitute.com/problem.html. Smale, Steve. 1991. „Dynamics Retrospective: Great Problems, Attempts That Failed“. Physica D: Nonlinear Phenomena 51 (1–3): 267–73. https://doi.org/10.1016/0167-2789(91)90238-5. ———. 1997. „Mathematical Problems for the Next Century“. Fields Institute, Toronto, Juni. http://www.cityu.edu.hk/ma/doc/people/smales/pap104.pdf. ———. 1998. „Mathematical problems for the next century“, nachgedruckt in V. Arnold, M. Atiyah, P. Lax, B. Mazur: Mathematics: Frontiers and Perspectives 2000, American Mathematical Society 2000, 2: 7–15. Zaman, Asad. 2020. „New Directions in Macroeconomics“. International Econometric Review (IER) 12 (1): 1–23. https://doi.org/10.33818/ier.747603. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/112387 |