Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/105416
Year of Publication: 
2014
Citation: 
[Journal:] Contemporary Economics [ISSN:] 2084-0845 [Volume:] 8 [Issue:] 3 [Publisher:] Vizja Press & IT [Place:] Warsaw [Year:] 2014 [Pages:] 275-287
Publisher: 
Vizja Press & IT, Warsaw
Abstract: 
This article adds to the corruption literature by identifying factors influencing Bangladeshi farm households' probability of experiencing corruption in different service sectors. The econometric results show that households' probability of being exposed to corruption can largely be explained through their income and their relationship with different power entities. The direction of the relationship between income and corruption vary across services. Relatively rich households have a higher probability of experiencing corruption in sectors such as education, health and electricity. These households are less likely to experience corruption in local government and agricultural extension services. The results here are contrary to the common trend in corruption research that addresses households' aggregate corruption experiences. Households with relationships with different power entities have a lower probability of experiencing corruption than their counterparts without these types of relationships.
Subjects: 
corruption
income
relationship with power entity
probit model
Bangladeshi farm households
JEL: 
C3
D1
Persistent Identifier of the first edition: 
Document Type: 
Article

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