Many studies have used self-reported dyadic data without exploiting the pattern of discordant answers. In this paper we propose a maximum likelihood estimator that deals with mis-reporting in a systematic way. We illustrate the methodology using dyadic data on inter-household transfers (gifts...

Many studies have used self-reported dyadic data without exploiting the pattern of discordant answers. In this paper we propose a maximum likelihood estimator that deals with mis-reporting in a systematic way. We illustrate the methodology using dyadic data on inter-household transfers (gifts...

Previous analyses of the formation and composition of community based organizations (CBOs) have used cross section data.  So, causal inference has been compromised.  We obviate this problem by using data from a quasi-experiment in which villages were formed by government officials selecting...

Using village data from Tanzania, we test whether gifts and loans between households are voluntary while correcting for mis-reporting by the giving and receiving households.  Two maintained assumptions underlie our analysis: answers to a question on who people would turn to for help are good...

Many studies have used self-reported dyadic data without exploiting the pattern of discordant answers. In this paper we propose a maximum likelihood estimator that deals with mis-reporting in a systematic way. We illustrate the methodology using dyadic data on inter-household transfers from the...

Previous analyses of the formation and comparison of community based organizations (CBOs) have used cross section data. So, causal inference has been compromised. We obviate this problem by using data from a quai-experiment in which villages were formed by government officials selecting and...