scholarly journals Nonsequential Search Equilibrium with Search Cost Heterogeneity

2010 ◽  
Author(s):  
José Luis Moraga-González ◽  
Zsolt Sandor ◽  
Matthijs R. Wildenbeest
Keyword(s):  
Search Cost ◽  
Search Equilibrium

scholarly journals Nonsequential search equilibrium with search cost heterogeneity

2017 ◽  
Vol 50 ◽  
pp. 392-414 ◽  
Author(s):  
José Luis Moraga-González ◽  
Zsolt Sándor ◽  
Matthijs R. Wildenbeest
Keyword(s):  
Search Cost ◽  
Search Equilibrium

Equilibrium Price Dispersion with Search Regret Disutility

2020 ◽  
pp. 232102221988755
Author(s):  
Evangelos Rouskas
Keyword(s):  
Price Dispersion ◽  
Search Costs ◽  
Equilibrium Price ◽  
Reservation Price ◽  
Sequential Search ◽  
Price Equilibrium ◽  
Search Cost ◽  
Equilibrium Search ◽  
Search Intensity ◽  
Search Equilibrium

I examine an extension of the Burdett and Judd ([1983] . Equilibrium price dispersion. Econometrica, 51[4], 955–970) model whereby the consumers with positive search costs experience search regret disutility. First, I focus on the non-sequential search equilibrium in which the said consumers randomize between searching for one price and searching for two prices. When the disutility is significant (a) the spectrum of parameters for which this dispersed price equilibrium can be sustained widens significantly compared to the setting with no disutility; (b) this dispersed price equilibrium is unique and stable in contrast to the multiplicity of dispersed price equilibria of this type which arise in the original model; and (c) in the stable dispersed price equilibrium of this type the consumers with positive search costs respond to the possibility of search regret disutility by increasing their equilibrium search intensity. Second, I concentrate on the noisy sequential search equilibrium in which the reservation price is endogenous. When the search cost takes relatively high values, then compared to the setting with no disutility (a) the set of parameters for which this dispersed price equilibrium is supported may become significantly smaller; (b) the reservation price decreases; and (c) the consumers with positive search costs choose the same search intensity. JEL Classifications: D41, D83

scholarly journals Exploring the Impact of Early Decisions in Variable Ordering for Constraint Satisfaction Problems

2018 ◽  
Vol 2018 ◽  
pp. 1-14
Author(s):  
José Carlos Ortiz-Bayliss ◽  
Ivan Amaya ◽  
Santiago Enrique Conant-Pablos ◽  
Hugo Terashima-Marín
Keyword(s):  
Constraint Satisfaction ◽  
Constraint Satisfaction Problems ◽  
Search Cost ◽  
High Quality ◽  
Simple Method ◽  
Variable Ordering ◽  
It Performance ◽  
The Cost ◽  
The Impact ◽  
Variable Ordering Heuristics

When solving constraint satisfaction problems (CSPs), it is a common practice to rely on heuristics to decide which variable should be instantiated at each stage of the search. But, this ordering influences the search cost. Even so, and to the best of our knowledge, no earlier work has dealt with how first variable orderings affect the overall cost. In this paper, we explore the cost of finding high-quality orderings of variables within constraint satisfaction problems. We also study differences among the orderings produced by some commonly used heuristics and the way bad first decisions affect the search cost. One of the most important findings of this work confirms the paramount importance of first decisions. Another one is the evidence that many of the existing variable ordering heuristics fail to appropriately select the first variable to instantiate. Another one is the evidence that many of the existing variable ordering heuristics fail to appropriately select the first variable to instantiate. We propose a simple method to improve early decisions of heuristics. By using it, performance of heuristics increases.

Consumer Search and Filtering on Online Retail Platforms

2020 ◽  
Vol 57 (5) ◽  
pp. 900-916
Author(s):  
Baojun Jiang ◽  
Tianxin Zou
Keyword(s):  
Consumer Search ◽  
Third Party ◽  
Demand Elasticity ◽  
Search Cost ◽  
Online Retail ◽  
The Third ◽  
Retail Prices ◽  
The Third Party

This article examines how the consumer’s search cost and filtering on a retail platform affect the platform, the third-party sellers, and the consumers. The authors show that, given the platform’s percentage referral fee, a lower search cost can either increase or decrease the platform’s profit. By contrast, if the platform optimally adjusts its referral fee, a lower search cost will increase the platform’s profit. As the consumer’s search cost decreases, if the platform’s demand elasticity increases significantly, the platform should reduce its fee, potentially resulting in an all-win outcome for the platform, the sellers, and the consumers; otherwise, a lower search cost will increase the platform’s optimal fee percentage, potentially leading to higher equilibrium retail prices. Furthermore, the availability of filtering on the platform will in expectation induce consumers to search fewer products but buy products with higher match values, and filtering can either increase or decrease equilibrium retail prices. When filtering reveals only a small amount of the products’ match-value variations, it will benefit the platform, the sellers, and the consumers. This article shows that the effects of filtering and those of a decrease in search cost are qualitatively different.

scholarly journals What Causes Herding: Information Cascade or Search Cost?

2010 ◽  
Author(s):  
William T. LIn ◽  
Shih-Chuan Tsai ◽  
David S. Sun
Keyword(s):  
Search Cost ◽  
Information Cascade

scholarly journals Search cost for a nearly optimal path in a binary tree

2009 ◽  
Vol 19 (4) ◽  
pp. 1273-1291 ◽  
Author(s):  
Robin Pemantle
Keyword(s):  
Binary Tree ◽  
Optimal Path ◽  
Search Cost
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