The sequential search model: A framework for empirical research
File(s)
Published version
Author(s)
Ursu, Raluca
Seiler, Stephan
Honka, Elisabeth
Type
Journal Article
Abstract
We provide a detailed overview of the empirical implementation of the sequential search model proposed by Weitzman (1979). We discuss the assumptions underlying the model, the identification of search cost and preference parameters, elasticities and welfare formulas, and different estimation approaches. The goal of this paper is to consolidate knowledge and provide a unified treatment of various aspects of sequential search models that are relevant for empirical work.
Date Issued
2025-03-01
Date Acceptance
2024-11-01
Citation
Quantitative Marketing and Economics, 2025, 23 (1), pp.165-213
ISSN
1570-7156
Publisher
Springer
Start Page
165
End Page
213
Journal / Book Title
Quantitative Marketing and Economics
Volume
23
Issue
1
Copyright Statement
© The Author(s) 2024. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
License URL
Identifier
10.1007/s11129-024-09291-2
Subjects
Business
Business & Economics
CONSUMER SEARCH
COSTS
D43
D83
DEMAND
Economics
ECONOMICS
IDENTIFICATION
INFORMATION
L13
Mathematical Methods In Social Sciences
PRICE BELIEFS
Sequential search model
SIMULATION
Social Sciences
Social Sciences, Mathematical Methods
Publication Status
Published
Date Publish Online
2024-12-19