Submitting queries to search engines has become a major way in which consumers search for information and products. The massive amount of search query data available today has the potential to provide valuable information on consumer preferences. In order to unlock this potential, it is...

It is becoming increasingly easier for researchers and practitioners to collect eye tracking data during online preference measurement tasks. We develop a dynamic discrete choice model of information search and choice under bounded rationality, that we calibrate using a combination of...

In incentive-alignment choice experiments, each decision is realized with some prob- ability prob 1. Incentive alignment induces truth telling, i.e., respondents do not consciously lie, given the information they have processed. However, based on the psychological distance literature and the...

We explore how consumers form online search queries, given their content preferences. In particular, we explore the role of activation probabilities from queries to results, i.e., the probability that a certain query will retrieve certain content. Using secondary data from Google, we first show...

We develop a flexible content-based search model that links the content preferences of search engine users to query search volume and click-through rates. Content preferences are defined over latent topics that describe the content of search queries and search result descriptions. Moreover, our...