{"title":"金融技术与货币政策传导:社会网络的作用","authors":"Xiaoqing Zhou","doi":"10.24149/wp2203r1","DOIUrl":null,"url":null,"abstract":"Financial technology-based (FinTech) lending is expected to ease U.S. mortgage market frictions that have weakened the transmission of monetary policy to households. This paper establishes that social networks play a key role in consumers’ adoption of FinTech lending, which amplifies the effects of a monetary stimulus. I provide causal estimates of the network effect on FinTech adoption using county-level data. To quantify the role of FinTech lending and network spillovers in the transmission of monetary policy shocks, I build a heterogeneous-agent model with social learning. The model shows that the consumption response to a monetary stimulus is 13% higher in the presence of FinTech lending and network spillovers, and that about half of this improvement is accounted for by network spillovers.","PeriodicalId":322311,"journal":{"name":"Federal Reserve Bank of Dallas, Working Papers","volume":"87 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Financial Technology and the Transmission of Monetary Policy: The Role of Social Networks\",\"authors\":\"Xiaoqing Zhou\",\"doi\":\"10.24149/wp2203r1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Financial technology-based (FinTech) lending is expected to ease U.S. mortgage market frictions that have weakened the transmission of monetary policy to households. This paper establishes that social networks play a key role in consumers’ adoption of FinTech lending, which amplifies the effects of a monetary stimulus. I provide causal estimates of the network effect on FinTech adoption using county-level data. To quantify the role of FinTech lending and network spillovers in the transmission of monetary policy shocks, I build a heterogeneous-agent model with social learning. The model shows that the consumption response to a monetary stimulus is 13% higher in the presence of FinTech lending and network spillovers, and that about half of this improvement is accounted for by network spillovers.\",\"PeriodicalId\":322311,\"journal\":{\"name\":\"Federal Reserve Bank of Dallas, Working Papers\",\"volume\":\"87 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Federal Reserve Bank of Dallas, Working Papers\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.24149/wp2203r1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Federal Reserve Bank of Dallas, Working Papers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24149/wp2203r1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Financial Technology and the Transmission of Monetary Policy: The Role of Social Networks
Financial technology-based (FinTech) lending is expected to ease U.S. mortgage market frictions that have weakened the transmission of monetary policy to households. This paper establishes that social networks play a key role in consumers’ adoption of FinTech lending, which amplifies the effects of a monetary stimulus. I provide causal estimates of the network effect on FinTech adoption using county-level data. To quantify the role of FinTech lending and network spillovers in the transmission of monetary policy shocks, I build a heterogeneous-agent model with social learning. The model shows that the consumption response to a monetary stimulus is 13% higher in the presence of FinTech lending and network spillovers, and that about half of this improvement is accounted for by network spillovers.