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

In this article several models are proposed to detect and adjust for survey response bias and 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.

Abstract

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.