275This 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.
IntroductionWhen interacting with different public service entities, some households experience corruption and some do not. There are also differences in the forms of corruption experienced by households. Such differences under the same policy and institutional setup can possibly be explained through different household and community level characteristics. The available literature on the micro-level determinants of corruption identifies several factors responsible for households' corruption experiences. These factors include income, education, location, gender, marital status, profession, attitude and perception towards corruption, trust network, city size, etc. (Anik, Bauer, & Alam, 2013;Čábelková & Hanousek, 2004; Herrera, Razafindrakoto, & Rouband, 2007;Hunt, 2004;Mocan, 2008;Shaw, 2009;Swamy et al., 2001;Torgler & Valev, 2006