Data Privacy in Digital Markets

PRIVDIMA aims to enhance data privacy regulation by modeling verifiability effects to prevent price discrimination and ensure fair consumer benefits in digital markets.

Subsidie
€ 1.860.125
2023

Projectdetails

Introduction

Focusing on verifiability, PRIVDIMA studies the regulation of data privacy to protect consumers from excessive price discrimination in digital markets.

Background

PRIVDIMA breaks with previous literature by acknowledging that data has a verifiability effect. It proposes a study of data privacy regulation by explicitly modelling this verifiability effect. Its motivation is as follows:

  1. Data collection in digital markets renders private information verifiable.
  2. Due to unravelling, this verifiability effect of data impacts regulation at a fundamental level.
  3. Extant work on privacy regulation abstracts from the effect.
  4. Data privacy rules that ignore verifiability effects lead to misguided regulation.

PRIVDIMA is to rectify this.

Objectives

PRIVDIMA has 3 objectives:

Objective 1

Incorporate verifiability in the state-of-the-art theories of mechanism and information design, readying them for the analysis of a new range of problems where verifiability matters.

Objective 2

Derive concrete policy implications for data privacy based on regulating the use of data to limit price discrimination. It yields new insights on regulating both long and short run contracts in models of behaviour-based price discrimination.

Objective 3

Derive concrete policy implications for data privacy based on regulating the collection of data. It yields insights on how to prevent an unravelling of private information by which the verifiability effect of data hurts consumers.

Impact

Objective 1 implies a major advancement for the field of economic theory. Objectives 2 and 3 ensure that consumers obtain a fair share of the benefits from digitalization, promoting not only equity and fairness but also public support for future digitalization, allowing societies to reap its benefits while avoiding social conflict.

Expertise

As PRIVDIMA’s PI, I have a proven track record in developing and applying the required methods, and expertise in working with both verifiable and non-verifiable information.

Financiële details & Tijdlijn

Financiële details

Subsidiebedrag€ 1.860.125
Totale projectbegroting€ 1.860.125

Tijdlijn

Startdatum1-10-2023
Einddatum30-9-2028
Subsidiejaar2023

Partners & Locaties

Projectpartners

  • HUMBOLDT-UNIVERSITAET ZU BERLINpenvoerder

Land(en)

Germany

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