scholarly journals Household Credit as Stimulus? Evidence from Brazil

2021 ◽  
Author(s):  
Gabriel Garber ◽  
Atif Mian ◽  
Jacopo Ponticelli ◽  
Amir Sufi
Keyword(s):  
2009 ◽  
Vol 41 (27) ◽  
pp. 3447-3462 ◽  
Author(s):  
O. de Bandt ◽  
C. Bruneau ◽  
W. El Amri

Author(s):  
John Gathergood

Abstract This paper investigates racial disparities in household credit constraints using UK survey data. We find a widening disparity in the proportion of racial minority households reporting they face credit constraints compared with non-minority households over the period 2006-2009. By 2009 three times as many racial minority households faced credit constraints compared with non-minority households. The difference in credit constraints across racial minority and non-minority households is not explained by a broad set of covariates. While cross-section variation in reported credit constraints might most likely reflect unobservables, we argue this time series variation is very unlikely to arise due to unobservables and is evidence of growing perceived disparity in credit access between racial groups over the period.


2017 ◽  
Vol 34 (2) ◽  
pp. 345-366
Author(s):  
Somsay Ouanphilalay ◽  
Keyword(s):  

2021 ◽  
Vol 72 ◽  
pp. 241-254
Author(s):  
Yunping Chen ◽  
Huanhuan Chen ◽  
Guorong Li ◽  
Dongdan Jiao ◽  
Xiangyun Xu

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Qiang Zhao ◽  
Yue Shen ◽  
Chaoqian Li

With the increasing number of social networks emerging and evolving, the influence of social networks on human behavior is now again a subject of discussion in academe. Dynamics in social networks, such as opinion formation and information sharing, are restricting or proliferating members’ behavior on social networks, while new social network dynamics are created by interpersonal contacts and interactions. Based on this and against the backdrop of unfavourable rural credit development, this article uses CHFS data to discuss the whole and heterogeneous impact of social networks on rural household credit behavior. The results show that (1) social networks can effectively promote rural household credit behavior; (2) social networks have a significant positive impact on both formal credit and informal credit, but the influence of the latter is stronger; (3) both emotional networks and instrumental networks have a positive impact on formal credit and informal credit, and their influences are stronger on informal credit; (4) the influence of emotional network is stronger than instrumental networks on either formal credit or informal credit.


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