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Composite GDP nowcasting using macroeconomic variables and electricity data. [PDF]
PLoS ONEAccurate and timely forecasting of the gross domestic product (GDP), known as "nowcasting", is crucial for macroeconomic regulation. In this paper, we propose a composite GDP nowcasting model that combines predictions from a dynamic factor model using ...
Zhiqiang Lan, Zidi Liu, Guoyao Wu
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EconAgent: Large Language Model-Empowered Agents for Simulating Macroeconomic Activities [PDF]
Annual Meeting of the Association for Computational Linguistics, 2023 The advent of artificial intelligence has led to a growing emphasis on data-driven modeling in macroeconomics, with agent-based modeling (ABM) emerging as a prominent bottom-up simulation paradigm. In ABM, agents (e.g., households, firms) interact within
Nian Li +4 more
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Inflation Targeting Model in Macroeconomics [PDF]
Cybernetics and Systems Analysis, 2021 Empirical targeting by lowering inflation to the marginal level that causes monetary deflation and transition to depression is shown to increase the growth of the real GDP, while increasing inflation from the marginal level reduces the growth of the real GDP. The inflation is determined according to the theory of reproduction of the national economy by
Iefymenko, T. I. +2 more
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Ecological Economics, 2020 This paper presents a stock-flow consistent (SFC) macroeconomic simulation model for Canada. We use the model to generate three very different stories about the future of the Canadian economy, covering the half century from 2017 to 2067: a Base Case ...
Tim Jackson, P. Victor
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Criticism of the Classical Theory of Macroeconomic Modeling
Vestnik MGIMO-Universiteta, 2015 : Current approaches and methods of modeling of macroeconomic systems do not allow to generate research ideas that could be used in applications. This is largely due to the fact that the dominant economic schools and research directions are building ...
Konstantin K. Kumehov
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The Effect of Public Education Expenditures and Macroeconomic Instability on Human Capital in Iran [PDF]
مدلسازی اقتصادسنجی, 2022 The purpose of this paper is to investigate the effect of public education expenditures and macroeconomic instability on human capital in Iran in period 1971-2019.
Zahra Ehsani +2 more
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AI and Macroeconomic Modeling: Deep Reinforcement Learning in an RBC model
IMF Working Papers, 2023 This study seeks to construct a basic reinforcement learning-based AI-macroeconomic simulator. We use a deep RL (DRL) approach (DDPG) in an RBC macroeconomic model. We set up two learning scenarios, one of which is deterministic without the technological
Tohid Atashbar, Rui Aruhan Shi
semanticscholar +1 more source
The Effect of Trade Openness and Government Size on Macroeconomic Volatility in Iran: A Stochastic Volatility Model (SVM) Approach [PDF]
مدلسازی اقتصادسنجی, 2018 The main purpose of this paper is to examine the effect of trade openness and government size on macroeconomic volatility. Economic theories do not clearly show the effects of trade openness and government size on macroeconomic volatility.
naser elahi +3 more
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Lancet Global Health, 2023 Summary Background Chronic obstructive pulmonary disease (COPD) is the third leading cause of death worldwide and imposes a substantial economic burden.
Simiao Chen +7 more
semanticscholar +1 more source
Cross-Diffusion Modeling in Macroeconomics [PDF]
Differential Equations and Dynamical Systems, 2014 This paper deals with the stability properties of a closed market, where capital and labour force are acting like a predator-prey system in population-dynamics. The spatial movement of the capital and labour force are taken into account by cross-diffusion effect.
Balázsi, L., Kiss, Krisztina
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