Kaldor-Kalecki new model on business cycles

DOI10.1007/978-3-030-70982-2_16zbMath1502.91036OpenAlexW3197756080MaRDI QIDQ2097863

Giuseppe Orlando

Publication date: 15 November 2022

Full work available at URL: https://doi.org/10.1007/978-3-030-70982-2_16

zbMATH Keywords

entropychaosbusiness cyclestestingspectral analysisembedding dimensioncorrelation integralKaldor model

Mathematics Subject Classification ID

Economic growth models (91B62)

Uses Software

• RRChaos

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Measuring complexity in a business cycle model of the Kaldor type
• Calculation of Lyapunov exponents avoiding spurious elements
• Identification determinism in time series based on symplectic geometry spectra
• Determining Lyapunov exponents from a time series
• Measuring the strangeness of strange attractors
• Singular-value decomposition in attractor reconstruction: Pitfalls and precautions
• The collected papers of Hassler Whitney. Volume I and II. Edited by James Eells and Domingo Toledo
• Practical method for determining the minimum embedding dimension of a scalar time series
• A method of embedding dimension estimation based on symplectic geometry
• A discrete mathematical model for chaotic dynamics in economics: Kaldor's model on business cycle
• An optimal algorithm for approximate nearest neighbor searching fixed dimensions
• Scientific Computation
• Prospect Theory: An Analysis of Decision under Risk

This page was built for publication: Kaldor-Kalecki new model on business cycles