Understanding the behavior of the poor has long been an important focus of microfi nance (MF) research. On the one hand, several studies have been conducted to understand the fi nancial decisions of MF clients related to the construction of trustworthiness and social collateral (which replaces fi nancial collateral in MF loans). On the other hand, the natural counterpart of trustworthiness (i.e., risk taking) has been another main point of focus when evaluating MF clients ' behavior. Yet, most of these studies remain observational, use standard surveys about behavior, or make use of fi nancial information only -as found in many qualitative impact assessments and econometric studies. Th erefore, the usual biases when reporting stated behavior, in particular about items that are diffi cult to rationalize (such as trustworthiness and risk taking), are diffi cult to capture. Only recently have experimental games become popular in MF to gain deeper insights into MF clients and reduce these biases.Overall, the fi nancial decisions of MF clients seem complex to MF practitioners, who increasingly question the needs and wants of poor MF clients, especially after the recent crises in the MF industry. Two of the most documented diffi culties that MF institutions (MFIs) usually face are the adverse selection problem and the absence of fi nancial collateral provided by the borrower ( Giné et al ., 2010 ). In other words, MFIs serve clients without credit history, and are therefore unable to predict their willingness or ability to repay the loan. Moreover, these clients live in social neighborhoods where no one around has fi nancial reserves to cover a Microfi nance clients reveal safer fi nancial behaviors compared with non-microfi nance clients.The self-esteem of microfi nance clients is higher compared with non-microfi nance clients.MFIs should investigate in detail the structure of the social neighborhood prior to client selection.