Buying Online: Sequential Decision Making by Shopbot Visitors

Working Paper: CEPR ID: DP6939

Authors: Uwe Dulleck; Franz Hackl; Bernhard Weiss; Rudolf Winter-Ebmer

Abstract: In this article we propose a two stage procedure to model demand decisions by customers who are balancing several dimensions of a product. We then test our procedure by analyzing the behavior of buyers from an Austrian price comparison site. Although in such a market a consumer will typically search for the cheapest price for a given product, reliability and service of the supplier are other important characteristics of a retailer. In our data, consumers follow such a two stage procedure: they select a shortlist of suppliers by using the price variable only; finally, they trade off reliability and price among these shortlisted suppliers.

Keywords: decision theory; ecommerce; heuristics; price comparison; seller reputation

JEL Codes: D83; L81


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
price (D41)initial supplier selection (L81)
firm evaluation score (G32)number of clicks (Y10)
initial supplier selection (L81)final decision (D70)
price (D41)final decision (D70)

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