Dissertation/ Thesis
Empirical essays on information asymmetries on digital platforms ; Essais empiriques sur les asymétries d'information sur les plateformes numériques
| العنوان: | Empirical essays on information asymmetries on digital platforms ; Essais empiriques sur les asymétries d'information sur les plateformes numériques |
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| المؤلفون: | Belletti, Chiara |
| المساهمون: | Centre de Recherche en Économie et Statistique (CREST), Ecole Nationale de la Statistique et de l'Analyse de l'Information Bruz (ENSAI)-École polytechnique (X)-École Nationale de la Statistique et de l'Administration Économique (ENSAE Paris)-Centre National de la Recherche Scientifique (CNRS), Institut Polytechnique de Paris, Ulrich Laitenberger |
| المصدر: | https://theses.hal.science/tel-04625640 ; Economics and Finance. Institut Polytechnique de Paris, 2024. English. ⟨NNT : 2024IPPAT017⟩. |
| بيانات النشر: | HAL CCSD |
| سنة النشر: | 2024 |
| مصطلحات موضوعية: | Digital Platforms, Information Asymmetries, Reputation Systems, Online Labor, Plateformes Numériques, Asymétries d'Information, Systèmes de réputation, Travail en Ligne, [SHS.ECO]Humanities and Social Sciences/Economics and Finance |
| الوصف: | This thesis studies issues related to information asymmetry in digital markets. It aims at understanding the behavior of economic agents when standard reputation tools, such as ratings and reviews, may fall short.The first chapter investigates the impact of end-of-game concerns on the effectiveness of reputation systems as monitoring tools in digital markets. Using data from Airbnb, the chapter examines the effort decisions of hosts anticipating their exit due to non-compliance with a short-term rental regulation in the City of Los Angeles. With a Difference-in-Differences and Event Study approach, we compare how listing's effort-related ratings changed, compared to ratings on location, after the regulation announcement and during its implementation. The findings reveal a statistically significant decrease in effort-related ratings during the hosts' final periods, highlighting the limitations of reputation systems in addressing moral hazard within a finite game.The second and third chapters of this thesis study firm and worker behavior on a commercial crowd-working platform characterized by anonymity and limited employer-employee interactions.The second chapter provides descriptive insights into how crowd-working platforms are used for outsourcing AI-related tasks, particularly focusing on data training. The study begins by providing context on the platform under study and unveiling a recent growing demand for crowd-sourced data work. The chapter also examines how firms ensure tasks' execution quality through worker selection, wage setting, and monitoring. A regression framework allows for the identification of specific factors that distinguish demand for data work from other tasks. The higher targeting of demand towards predefined groups of contributors based on experience or geographic location, along with a larger rejection probability for data annotation tasks, underscores the importance of quality execution for firms outsourcing in this domain.The final chapter explores a Principal-Agent problem arising ... |
| نوع الوثيقة: | doctoral or postdoctoral thesis |
| اللغة: | English |
| Relation: | NNT: 2024IPPAT017; tel-04625640; https://theses.hal.science/tel-04625640; https://theses.hal.science/tel-04625640/document; https://theses.hal.science/tel-04625640/file/124427_BELLETTI_2024_archivage.pdf |
| الاتاحة: | https://theses.hal.science/tel-04625640 https://theses.hal.science/tel-04625640/document https://theses.hal.science/tel-04625640/file/124427_BELLETTI_2024_archivage.pdf |
| Rights: | info:eu-repo/semantics/OpenAccess |
| رقم الانضمام: | edsbas.487FAFA7 |
| قاعدة البيانات: | BASE |
| الوصف غير متاح. |