A business-cycle model connecting heterogeneous micro investment behaviors with macro dynamics

التفاصيل البيبلوغرافية
العنوان: A business-cycle model connecting heterogeneous micro investment behaviors with macro dynamics
المؤلفون: Dohtani, Akitaka, Matsuyama, Jun
المصدر: Communications in Nonlinear Science and Numerical Simulation. 117:106903
بيانات النشر: Elsevier BV, 2023.
سنة النشر: 2023
مصطلحات موضوعية: Numerical Analysis, Applied Mathematics, Modeling and Simulation, Nonlinear investment function, Poincaré–Bendixson theorem, Animal spirits, Generalized Hopf bifurcation, Business cycles, Density and distribution functions
الوصف: To analyze the effect of animal spirits on economic dynamics, we construct a simple Keynesian business-cycle model with animal spirits incorporated into it. Similar to the well-known Kaldor model, we assume that each firm possesses the investment function depending on demand, in which the animal spirits are connected with the degree of the propensity to invest. However, we would like to emphasize that, unlike the Kaldor model, even if the level of demand for each firm is the same, the degree of propensity to invest (i.e., the strength of animal spirits) depends on the change in demand. Thus, we assume that animal spirits in demand-upswing phases are stronger than those in demand-downswing phases. In each phase, the degree of dependence on demand is firm specific. Therefore, we adopt a statistical approach to connect such heterogeneous micro-investment behaviors with a macro-investment function. Through this approach, some kind of nonlinearity is naturally introduced into the macroinvestment function. We demonstrate that the nonlinear macro-investment function yields persistent business cycles. We also demonstrate the occurrence of a generalized Hopf bifurcation.
تدمد: 1007-5704
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26a3a843b0471bd63f1359df9869b36d
https://doi.org/10.1016/j.cnsns.2022.106903
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....26a3a843b0471bd63f1359df9869b36d
قاعدة البيانات: OpenAIRE