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題名 Social Networks and Macroeconomic Stability
作者 陳樹衡;張嘉玲;溫明昌
Chang, Chia-Ling;Wen, Ming-Chang
貢獻者 經濟系
關鍵詞 New Keynesian DSGE models;Agent-based model;macroeconomic stability;social networks;Ising model;betweenness centrality;seemingly unrelated regression estimation
日期 2014-03
上傳時間 24-Nov-2014 15:01:26 (UTC+8)
摘要 In this paper, the effect of the social network on macroeconomic stability is examined using an agent-based, network-based DSGE (dynamic stochastic general equilibrium) model. While the authors` primitive (first-stage) examination has the network generation mechanism as its main focus, their more in-depth second-stage analysis is based on a few main characteristics of network topologies, such as the degree, clustering coefficient, length, and centrality. Based on their econometric analysis of the simulation results, the authors find that the betweenness centrality contributes to the GDP instability and average path length contributes to the inflation instability. These results are robust under two augmentations, one taking into account non- linearity and one taking into account the shape of the degree distribution as an additional characteristic. Through these augmentations, the authors find that the effect of network topologies on economic stability can be more intriguing than their baseline model may suggest: in addition to the existence of non-linear or combined effects of network characteristics, the shape of the degree distribution is also found to be significant.
關聯 Economics: The Open-Access, Open-Assessment E-Journal, 8, 2014-16
資料類型 article
DOI http://dx.doi.org/10.5018/economics-ejournal.ja.2014-16
dc.contributor 經濟系en_US
dc.creator (作者) 陳樹衡;張嘉玲;溫明昌zh_TW
dc.creator (作者) Chang, Chia-Ling;Wen, Ming-Changen_US
dc.date (日期) 2014-03en_US
dc.date.accessioned 24-Nov-2014 15:01:26 (UTC+8)-
dc.date.available 24-Nov-2014 15:01:26 (UTC+8)-
dc.date.issued (上傳時間) 24-Nov-2014 15:01:26 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/71630-
dc.description.abstract (摘要) In this paper, the effect of the social network on macroeconomic stability is examined using an agent-based, network-based DSGE (dynamic stochastic general equilibrium) model. While the authors` primitive (first-stage) examination has the network generation mechanism as its main focus, their more in-depth second-stage analysis is based on a few main characteristics of network topologies, such as the degree, clustering coefficient, length, and centrality. Based on their econometric analysis of the simulation results, the authors find that the betweenness centrality contributes to the GDP instability and average path length contributes to the inflation instability. These results are robust under two augmentations, one taking into account non- linearity and one taking into account the shape of the degree distribution as an additional characteristic. Through these augmentations, the authors find that the effect of network topologies on economic stability can be more intriguing than their baseline model may suggest: in addition to the existence of non-linear or combined effects of network characteristics, the shape of the degree distribution is also found to be significant.en_US
dc.format.extent 2514322 bytes-
dc.format.mimetype application/pdf-
dc.language.iso en_US-
dc.relation (關聯) Economics: The Open-Access, Open-Assessment E-Journal, 8, 2014-16en_US
dc.subject (關鍵詞) New Keynesian DSGE models;Agent-based model;macroeconomic stability;social networks;Ising model;betweenness centrality;seemingly unrelated regression estimationen_US
dc.title (題名) Social Networks and Macroeconomic Stabilityen_US
dc.type (資料類型) articleen
dc.identifier.doi (DOI) 10.5018/economics-ejournal.ja.2014-16en_US
dc.doi.uri (DOI) http://dx.doi.org/10.5018/economics-ejournal.ja.2014-16en_US