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The Role of Reputations and Signals in Digital and Traditional Markets.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	The Role of Reputations and Signals in Digital and Traditional Markets./
Author:	Liu, Yanli.
Description:	1 online resource (134 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 85-11, Section: B.
Contained By:	Dissertations Abstracts International85-11B.
Subject:	Web studies. -
Online resource:	click for full text (PQDT)
ISBN:	9798382589572

The Role of Reputations and Signals in Digital and Traditional Markets.
Liu, Yanli.

The Role of Reputations and Signals in Digital and Traditional Markets. - 1 online resource (134 pages)

Source: Dissertations Abstracts International, Volume: 85-11, Section: B.

Thesis (Ph.D.)--Northeastern University, 2024.

Includes bibliographical references

Chapter 1: The Impact of Digital Reputation Systems on Consumer Purchase and Welfare: Evidence from AirbnbDigital platforms provide a space where previous consumers can share insights about their consumption experiences and product preferences. This user-generated feedback significantly contributes to the reputation of both the seller and the product, thereby generating benefits for future consumers. In this paper, I examine the relative impacts of two commonly used reputation components, star ratings and text reviews, on consumer welfare within the short-term rental market. I first show that both components have causal effects on purchase decisions. Then, I use a censored logit demand framework to estimate their impacts on consumer welfare. I find that text reviews deliver slightly greater benefits to consumers than star ratings. Removing both types of pre-purchase information would deliver even larger decreases in consumer surplus, suggesting that ratings and reviews are imperfect complements in delivering information.Chapter 2: The Invisible Host: Race and Identifiability of Hosts on AirbnbThis study investigates racial dynamics on digital platforms, focusing on Airbnb, by examining users' strategic decisions to disclose their racial identity through profile pictures. Spanning 22 U.S. cities over 2 years and creating a novel panel of host profile photos, we find that Black hosts are more likely to conceal their identity. Additionally, we apply these insights to reevaluate racial price gap estimates in existing literature, considering both identifiable and unidentifiable profile pictures. Our analysis is further enriched by an experimental survey designed to assess the impact of racial representation in host profiles on guest preferences. The results reveal a significant racial bias against Black hosts, but this gap diminishes when hosts possess positive attributes.Chapter 3: The Impact of "Double First-Class" Initiative on Students' Employment OutcomesThe Double First-Class (DFC) initiative was launched by the Chinese central government in 2016 as a new higher education classification system. It officially designates the highest-ranked universities as the best in China and aims to increase education funding and grants for these institutions. The DFC initiative has significantly enhanced research output and achievements. This paper examines its impact on graduates' performance in the labor market, using data from the Annual Graduate Employment Quality Reports and survey data from a third-party platform Xinchou.com.1 By employing a difference-in-difference approach, the study reveals a limited effect on overall graduate employment rates. However, it finds an immediate and significant positive impact on salaries for employed students, primarily due to increased salary offerings from both state-owned and private enterprises. This research seeks to elucidate the mechanisms influencing graduates' performance in the job market and offers insights for the Chinese central government. It underscores the importance of refining the DFC initiative to prioritize students' labor market performance over research focus.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798382589572Subjects--Topical Terms:

1148502
Web studies.
Subjects--Index Terms:

Consumer welfareIndex Terms--Genre/Form:

554714
Electronic books.

The Role of Reputations and Signals in Digital and Traditional Markets.
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504 $a Includes bibliographical references
520 $a Chapter 1: The Impact of Digital Reputation Systems on Consumer Purchase and Welfare: Evidence from AirbnbDigital platforms provide a space where previous consumers can share insights about their consumption experiences and product preferences. This user-generated feedback significantly contributes to the reputation of both the seller and the product, thereby generating benefits for future consumers. In this paper, I examine the relative impacts of two commonly used reputation components, star ratings and text reviews, on consumer welfare within the short-term rental market. I first show that both components have causal effects on purchase decisions. Then, I use a censored logit demand framework to estimate their impacts on consumer welfare. I find that text reviews deliver slightly greater benefits to consumers than star ratings. Removing both types of pre-purchase information would deliver even larger decreases in consumer surplus, suggesting that ratings and reviews are imperfect complements in delivering information.Chapter 2: The Invisible Host: Race and Identifiability of Hosts on AirbnbThis study investigates racial dynamics on digital platforms, focusing on Airbnb, by examining users' strategic decisions to disclose their racial identity through profile pictures. Spanning 22 U.S. cities over 2 years and creating a novel panel of host profile photos, we find that Black hosts are more likely to conceal their identity. Additionally, we apply these insights to reevaluate racial price gap estimates in existing literature, considering both identifiable and unidentifiable profile pictures. Our analysis is further enriched by an experimental survey designed to assess the impact of racial representation in host profiles on guest preferences. The results reveal a significant racial bias against Black hosts, but this gap diminishes when hosts possess positive attributes.Chapter 3: The Impact of "Double First-Class" Initiative on Students' Employment OutcomesThe Double First-Class (DFC) initiative was launched by the Chinese central government in 2016 as a new higher education classification system. It officially designates the highest-ranked universities as the best in China and aims to increase education funding and grants for these institutions. The DFC initiative has significantly enhanced research output and achievements. This paper examines its impact on graduates' performance in the labor market, using data from the Annual Graduate Employment Quality Reports and survey data from a third-party platform Xinchou.com.1 By employing a difference-in-difference approach, the study reveals a limited effect on overall graduate employment rates. However, it finds an immediate and significant positive impact on salaries for employed students, primarily due to increased salary offerings from both state-owned and private enterprises. This research seeks to elucidate the mechanisms influencing graduates' performance in the job market and offers insights for the Chinese central government. It underscores the importance of refining the DFC initiative to prioritize students' labor market performance over research focus.
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653 $a Digital platforms
653 $a Market efficiency
653 $a Reputations
653 $a Signal
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