Learning about the Match Quality PDF Download

Author: Gonul Sengul
Publisher:
ISBN:
Category :
Languages : en
Pages : 24

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Author: Arthur Fishman
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description
For many new products or products with multiple attributes, learning the price is often easier than learning one's willingness to pay. We model a market in which consumers face a transportation cost to discover a seller's price, and then have the option to pay a learning cost to discover the product's match value before deciding whether to purchase or continue searching. In equilibrium each seller optimally sets either a "regular" price which induces a visiting consumer to learn or a sufficiently low "preemption" price which induces the consumer to accept immediately. In contrast to the common intuition about search frictions, we find that higher learning costs can improve consumer welfare by increasing sellers' incentive to preempt, which lowers prices and increases sales. We also demonstrate that the incentive to preempt is lower in a monopoly than in an oligopoly, and in a uniform example show that welfare and consumer surplus are higher in a monopoly for a range of learning costs. From a platform design perspective, we find that consumers are better off from clear disclosure for products with low learning costs and from obfuscation for products with high learning costs.

Author: Betty Rowen
Publisher: Prentice Hall
ISBN:
Category : Education
Languages : en
Pages : 380

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Book Description

Author: Nagypál Éva
Publisher:
ISBN:
Category : Business and education
Languages : en
Pages : 324

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Book Description

Author: V. Rajaraman
Publisher: PHI Learning Pvt. Ltd.
ISBN: 9788120317406
Category : Computers
Languages : en
Pages : 242

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Book Description

Author: Ning Zhong
Publisher: Springer Science & Business Media
ISBN: 3540666451
Category : Computers
Languages : en
Pages : 587

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Book Description
This book constitutes the refereed proceedings of the 7th International Workshop on Rough Sets, Fuzzy Sets, Data Mining, and Granular-Soft Computing, RSFDGrC'99, held in Yamaguchi, Japan, in November 1999. The 45 revised regular papers and 15 revised short papers presented together with four invited contributions were carefully reviewed and selected from 89 submissions. The book is divided into sections on rough computing: foundations and applications, rough set theory and applications, fuzzy set theory and applications, nonclassical logic and approximate reasoning, information granulation and granular computing, data mining and knowledge discovery, machine learning, and intelligent agents and systems.

Author: Peter Christen
Publisher: Springer Science & Business Media
ISBN: 3642311644
Category : Computers
Languages : en
Pages : 279

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Book Description
Data matching (also known as record or data linkage, entity resolution, object identification, or field matching) is the task of identifying, matching and merging records that correspond to the same entities from several databases or even within one database. Based on research in various domains including applied statistics, health informatics, data mining, machine learning, artificial intelligence, database management, and digital libraries, significant advances have been achieved over the last decade in all aspects of the data matching process, especially on how to improve the accuracy of data matching, and its scalability to large databases. Peter Christen’s book is divided into three parts: Part I, “Overview”, introduces the subject by presenting several sample applications and their special challenges, as well as a general overview of a generic data matching process. Part II, “Steps of the Data Matching Process”, then details its main steps like pre-processing, indexing, field and record comparison, classification, and quality evaluation. Lastly, part III, “Further Topics”, deals with specific aspects like privacy, real-time matching, or matching unstructured data. Finally, it briefly describes the main features of many research and open source systems available today. By providing the reader with a broad range of data matching concepts and techniques and touching on all aspects of the data matching process, this book helps researchers as well as students specializing in data quality or data matching aspects to familiarize themselves with recent research advances and to identify open research challenges in the area of data matching. To this end, each chapter of the book includes a final section that provides pointers to further background and research material. Practitioners will better understand the current state of the art in data matching as well as the internal workings and limitations of current systems. Especially, they will learn that it is often not feasible to simply implement an existing off-the-shelf data matching system without substantial adaption and customization. Such practical considerations are discussed for each of the major steps in the data matching process.

Author: Kingstone Ngwira
Publisher: AuthorHouse
ISBN: 150496974X
Category : Business & Economics
Languages : en
Pages : 89

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Book Description
This journal has examined a contemporary picture of the major aspects of employment practices (laws, government policies, employee rights), organizing my approach around the major themes of employment practices, the regulatory framework, and government policies, and employee rights of the employee practices landscape have been reviewed, while scope has existed to explore new influences on the employment practices in Malawi.

Author:
Publisher: Olin College - Sloan-C
ISBN:
Category :
Languages : en
Pages : 32

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Book Description

Author: Kathryn Shaw
Publisher:
ISBN:
Category : Industrial productivity
Languages : en
Pages : 48

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Book Description
A key tenet of the theory of human capital is that investment in skills results in higher productivity. The previous literature has estimated the degree of investment in human capital for individuals by looking at individual wage growth as a proxy for productivity growth. In this paper, we have both wage and personal productivity data, and thus are able to measure of the increase in workers' output with tenure. The data is from an autoglass company. Most of production occurs at the individual level so measures of output are clear. We find a very steep learning curve in the year on the job: output is 53 percent higher after one year than it is initially when hired. These output gains with tenure are not reflected in equal percentage pay gains: pay profiles are much flatter than output profiles in the first year and a half on the job. For these data, using wage profiles significantly underestimates the amount of investment compared to the gains evident in output-tenure profiles. The pattern of productivity rising more rapidly than pay reverses after two years of tenure. Worker selection is also important. Workers who stay longer have higher output levels and faster early learning.