Gomes, Orlando (2006): Can social interaction contribute to explain business cycles?
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Abstract
Recent literature has been able to include into standard optimal growth models some hypotheses that allow for the generation of endogenous long run fluctuations. This paper contributes to this endogenous business cycles literature by considering social interactions. In the proposed model, individuals can choose, under a discrete choice rule, to which social group they prefer to belong to. This selection process is constrained essentially by the dimension of the group, which is the main determinant regarding the utility individuals withdraw from social interaction. The proposed setup implies the presence of cycles and chaotic motion describing the evolution of group dimension over time. Because being member of a group involves costs to households, the inclusion of these costs in a standard Ramsey growth model will imply that endogenous cycles might arise in the time trajectory of the growth rate of output.
Item Type: | MPRA Paper |
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Institution: | Escola Superior de Comunicação Social - Instituto Politécnico de Lisboa |
Original Title: | Can social interaction contribute to explain business cycles? |
Language: | English |
Keywords: | Social interaction; Business cycles; Growth models; Nonlinear dynamics and Chaos; Discrete choice |
Subjects: | C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C61 - Optimization Techniques ; Programming Models ; Dynamic Analysis Z - Other Special Topics > Z1 - Cultural Economics ; Economic Sociology ; Economic Anthropology > Z13 - Economic Sociology ; Economic Anthropology ; Social and Economic Stratification E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E32 - Business Fluctuations ; Cycles |
Item ID: | 2848 |
Depositing User: | Orlando Gomes |
Date Deposited: | 20 Apr 2007 |
Last Modified: | 28 Sep 2019 22:18 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/2848 |