Modeling survey response bias – with an analysis of the demand for an advanced electronic device

Survey data are often subject to a number of biases. In this article several models are proposed to detect and adjust for survey response bias. The approach is then applied to the analysis of a market survey data on the demand for an advanced electronic device in a developing country. Substantial differences in take rates and price elasticities are found between the estimates derived from the conventional random utility maximization framework and the biased response model.