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Introduction

In recent years, the rapid advancements in technology have led to the emergence of new forms of competition in the digital economy. One of the key challenges faced by competition authorities around the world is the regulation of algorithmic collusion and price discrimination. Algorithmic collusion refers to the use of algorithms by firms to coordinate their pricing strategies in a way that harms competition, while price discrimination involves the practice of offering different prices to different customers based on various factors such as their location, browsing history, or purchasing behavior.

While competition laws are designed to promote competition and protect consumers, the rise of algorithmic collusion and price discrimination poses new challenges for regulators. This thesis aims to conduct a comparative analysis of competition laws and their effectiveness in addressing these new forms of anti-competitive behavior.

Background of Study

The digital economy has transformed the way businesses operate, allowing them to collect vast amounts of data on consumers and use algorithms to analyze this data and make pricing decisions. While this has led to greater efficiency and innovation, it has also raised concerns about the potential for firms to engage in anti-competitive practices through the use of algorithms.

Problem Statement

The use of algorithms in pricing strategies has the potential to facilitate collusion among firms and harm competition, leading to higher prices for consumers and reduced market efficiency. Additionally, price discrimination can result in unfair treatment of consumers and distort competition in the market.

Objective of Study

The main objective of this thesis is to compare and analyze the competition laws of different jurisdictions in addressing algorithmic collusion and price discrimination. Specifically, the study will examine the legal frameworks in place in various countries and assess their effectiveness in regulating these practices.

Limitation of Study

This study is limited to a comparative analysis of competition laws and their regulation of algorithmic collusion and price discrimination. It does not cover other aspects of competition law or antitrust regulation.

Scope of Study

The study will focus on the legal frameworks in the European Union, the United States, and other selected jurisdictions. It will analyze the relevant laws, regulations, and enforcement actions in these countries and assess their effectiveness in addressing algorithmic collusion and price discrimination.

Significance of Study

The findings of this study will provide insights into the effectiveness of competition laws in regulating algorithmic collusion and price discrimination. It will help policymakers and regulators understand the challenges posed by these practices and develop more effective strategies to address them.

Structure of the Thesis

Chapter 1: Introduction
1.1 Introduction
1.2 Background of Study
1.3 Problem Statement
1.4 Objective of Study
1.5 Limitation of Study
1.6 Scope of Study
1.7 Significance of Study
1.8 Structure of the Thesis
1.9 Definition of Terms

Chapter 2: Literature Review
2.1 Overview of Competition Laws
2.2 Algorithmic Collusion
2.3 Price Discrimination
2.4 Digital Economy
2.5 Antitrust Regulation
2.6 Enforcement Actions
2.7 Economic Analysis
2.8 Consumer Protection
2.9 Data Privacy
2.10 Regulatory Challenges

Chapter 3: Research Methodology
3.1 Research Design
3.2 Data Collection
3.3 Data Analysis
3.4 Comparative Analysis
3.5 Case Studies
3.6 Interviews
3.7 Surveys
3.8 Limitations of Methodology

Chapter 4: Discussion of Findings
4.1 Comparative Analysis of Competition Laws
4.2 Regulation of Algorithmic Collusion
4.3 Regulation of Price Discrimination
4.4 Effectiveness of Enforcement Actions
4.5 Implications for Policy
4.6 Recommendations for Reform
4.7 Case Studies Analysis
4.8 Stakeholder Perspectives

Chapter 5: Conclusion
5.1 Summary of Findings
5.2 Contributions to the Literature
5.3 Policy Implications
5.4 Recommendations for Future Research
5.5 Conclusion

Thesis Overview:

The rapid advancements in technology have transformed the way businesses operate, leading to new forms of competition in the digital economy. One of the key challenges faced by competition authorities is the regulation of algorithmic collusion and price discrimination. This thesis aims to conduct a comparative analysis of competition laws and their effectiveness in addressing these practices. The study will focus on the legal frameworks in the European Union, the United States, and other selected jurisdictions, analyzing the laws, regulations, enforcement actions, and implications for policy. The findings will provide insights into the challenges posed by algorithmic collusion and price discrimination and help develop more effective strategies to address them.

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