UID:
edoccha_9960785725802883
Series Statement:
Other papers
Content:
This paper reports on a randomized survey experiment among one thousand eight hundred and forty households, designed to compare pen-and-paper interviewing (PAPI) to computer-assisted personal interviewing (CAPI). The authors find that PAPI data contain a large number of errors, which can be avoided in CAPI. The authors show that error counts are not randomly distributed across the sample, but are correlated with household characteristics, potentially introducing sample bias in analysis if dubious observations need to be dropped. The authors demonstrate a tendency for the mean and spread of total measured consumption to be higher on paper compared to CAPI, translating into significantly lower measured poverty, higher measured inequality and higher income elasticity estimates. Investigating further the nature of PAPI's measurement error for consumption, the authors fail to reject the hypothesis that it is classical: it attenuates the coefficient on consumption when used as explanatory variable and the authors find no evidence of bias when consumption is used as dependent variable. Finally, CAPI and PAPI are compared in terms of interview length, costs and respondents' perceptions.
Language:
English