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Essays in Review Systems and Industrial Organization.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Essays in Review Systems and Industrial Organization./
Author:
Sorokin, Dmitry.
Published:
Ann Arbor : ProQuest Dissertations & Theses, : 2021,
Description:
197 p.
Notes:
Source: Dissertations Abstracts International, Volume: 83-02, Section: A.
Contained By:
Dissertations Abstracts International83-02A.
Subject:
Computer & video games. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28323758
ISBN:
9798534690477
Essays in Review Systems and Industrial Organization.
Sorokin, Dmitry.
Essays in Review Systems and Industrial Organization.
- Ann Arbor : ProQuest Dissertations & Theses, 2021 - 197 p.
Source: Dissertations Abstracts International, Volume: 83-02, Section: A.
Thesis (Ph.D.)--New York University, 2021.
This item must not be sold to any third party vendors.
In Part I of this dissertation I study executive compensation contracts that reward managers based on revenue in addition to profit. I find that the cost of incentive provision is higher under revenue-oriented contracts. Such contracts could be a profit-enhancing tool for shareholders in oligopolistic markets, a phenomenon known as strategic delegation. I analyze the interplay between strategic delegation and incentive provision. Results depend non-trivially on the model of competition and whether the manager cuts costs or increases demand. In Part II I study how review systems affect the behavior of customers and firms in a large marketplace called Steam. Chapter 2 compares two approaches to estimating the effect of reviews on sales: a panel regression and a regression discontinuity design. I find that having better reviews increases sales by 3-7%. I uncover an identification issue with the regression discontinuity design based on the review score of a product and propose an alternative design. In Chapter 3 I document that firms in online marketplaces use price promotions to facilitate transitions to better review tiers (similar to the number of stars on Amazon.com). I find that firms close to upgrading their tier are 4-9% more likely to discount. Two effects are at play. First, a selection effect arises because customers who buy during a discount could be different from the regular ones. Second, a variance effect reflects the idea that positive reviews could help the firm move up a review tier, while negative reviews would keep the tier unchanged. I estimate a tractable structural model of demand and reviewing behavior, and find evidence of the importance of the variance effect.
ISBN: 9798534690477Subjects--Topical Terms:
3548317
Computer & video games.
Subjects--Index Terms:
Managerial compensation
Essays in Review Systems and Industrial Organization.
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Source: Dissertations Abstracts International, Volume: 83-02, Section: A.
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Advisor: Christensen, Timothy.
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Thesis (Ph.D.)--New York University, 2021.
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This item must not be sold to any third party vendors.
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In Part I of this dissertation I study executive compensation contracts that reward managers based on revenue in addition to profit. I find that the cost of incentive provision is higher under revenue-oriented contracts. Such contracts could be a profit-enhancing tool for shareholders in oligopolistic markets, a phenomenon known as strategic delegation. I analyze the interplay between strategic delegation and incentive provision. Results depend non-trivially on the model of competition and whether the manager cuts costs or increases demand. In Part II I study how review systems affect the behavior of customers and firms in a large marketplace called Steam. Chapter 2 compares two approaches to estimating the effect of reviews on sales: a panel regression and a regression discontinuity design. I find that having better reviews increases sales by 3-7%. I uncover an identification issue with the regression discontinuity design based on the review score of a product and propose an alternative design. In Chapter 3 I document that firms in online marketplaces use price promotions to facilitate transitions to better review tiers (similar to the number of stars on Amazon.com). I find that firms close to upgrading their tier are 4-9% more likely to discount. Two effects are at play. First, a selection effect arises because customers who buy during a discount could be different from the regular ones. Second, a variance effect reflects the idea that positive reviews could help the firm move up a review tier, while negative reviews would keep the tier unchanged. I estimate a tractable structural model of demand and reviewing behavior, and find evidence of the importance of the variance effect.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28323758
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