Restrictions on Privacy and Exploitation in the Digital Economy: A Competition Law Perspective


Paper by Nicholas Economides and Ioannis Lianos: “The recent controversy on the intersection of competition law with the protection of privacy, following the emergence of big data and social media is a major challenge for competition authorities worldwide. Recent technological progress in data analytics may greatly facilitate the prediction of personality traits and attributes from even a few digital records of human behaviour.


There are different perspectives globally as to the level of personal data protection and the role competition law may play in this context, hence the discussion of integrating such concerns in competition law enforcement may be premature for some jurisdictions. However, a market failure approach may provide common intellectual foundations for the assessment of harms associated to the exploitation of personal data, even when the specific legal system does not formally recognize a fundamental right to privacy.


The paper presents a model of market failure based on a requirement provision in the acquisition of personal information from users of other products/services. We establish the economic harm from the market failure and the requirement using the traditional competition law toolbox and focusing more on situations in which the restriction on privacy may be analysed as a form of exploitation. Eliminating the requirement and the market failure by creating a functioning market for the sale of personal information is imperative. This emphasis on exploitation does not mean that restrictions on privacy may not result from exclusionary practices. However, we analyse this issue in a separate study.


Besides the traditional analysis of the requirement and market failure, we note that there are typically informational asymmetries between the data controller and the data subject. The latter may not be aware that his data was harvested, in the first place, or that the data will be processed by the data controller for a different purpose or shared and sold to third parties. The exploitation of personal data may also result from economic coercion, on the basis of resource-dependence or lock-in of the user, the latter having no other choice, in order to enjoy the consumption of a specific service provided by the data controller or its ecosystem, in particular in the presence of dominance, than to consent to the harvesting and use of his data. A behavioural approach would also emphasise the possible internalities (demand-side market failures) coming out of the bounded rationality, or the fact that people do not internalise all consequences of their actions and face limits in their cognitive capacities.
The paper also addresses the way competition law could engage with exploitative conduct leading to privacy harm, both for ex ante and ex post enforcement.


With regard to ex ante enforcement, the paper explores how privacy concerns may be integrated in merger control as part of the definition of product quality, the harm in question being merely exploitative (the possibility the data aggregation provides to the merged entity to exploit (personal) data in ways that harm directly consumers), rather than exclusionary (harming consumers by enabling the merged entity to marginalise a rival with better privacy policies), which is examined in a separate paper.


With regard to ex post enforcement, the paper explores different theories of harm that may give rise to competition law concerns and suggest specific tests for their assessment. In particular, we analyse old and new exploitative theories of harm relating to excessive data extraction, personalised pricing, unfair commercial practices and trading conditions, exploitative requirement contracts, behavioural manipulation.
We are in favour of collective action to restore the conditions of a well-functioning data market and the paper makes several policy recommendations….(More)”.

From Transactions Data to Economic Statistics: Constructing Real-Time, High-Frequency, Geographic Measures of Consumer Spending


Paper by Aditya Aladangady et al: “Access to timely information on consumer spending is important to economic policymakers. The Census Bureau’s monthly retail trade survey is a primary source for monitoring consumer spending nationally, but it is not well suited to study localized or short-lived economic shocks. Moreover, lags in the publication of the Census estimates and subsequent, sometimes large, revisions diminish its usefulness for real-time analysis. Expanding the Census survey to include higher frequencies and subnational detail would be costly and would add substantially to respondent burden. We take an alternative approach to fill these information gaps. Using anonymized transactions data from a large electronic payments technology company, we create daily estimates of retail spending at detailed geographies. Our daily estimates are available only a few days after the transactions occur, and the historical time series are available from 2010 to the present. When aggregated to the national leve l, the pattern of monthly growth rates is similar to the official Census statistics. We discuss two applications of these new data for economic analysis: First, we describe how our monthly spending estimates are useful for real-time monitoring of aggregate spending, especially during the government shutdown in 2019, when Census data were delayed and concerns about the economy spiked. Second, we show how the geographic detail allowed us quantify in real time the spending effects of Hurricanes Harvey and Irma in 2017….(More)”.

Toolkit to Help Community Leaders Drive Sustainable, Inclusive Growth


The Mastercard Center for Inclusive Growth: “… is unveiling a groundbreaking suite of tools that will provide local leaders with timely data-driven insights on the current state of and potential for inclusive growth in their communities. The announcement comes as private and public sector leaders gather in Washington for the inaugural Global Inclusive Growth Summit.

For the first time the new Inclusive Growth Toolkit brings together a clear, simple view of social and economic growth in underserved communities across the U.S., at the census-tract level. This was created in response to growing demand from community leaders for more evidence-based insights, to help them steer impact investment dollars to locally-led economic development initiatives, unlock the potential of neighborhoods, and improve quality of life for all.    

The initial design of the toolkit is focused on driving sustainable growth for the 37+ million people living in the 8700+ QOZs throughout the United States. This comprehensive picture reveals that neighborhoods can look very different and may require different types of interventions to achieve successful and sustainable growth.

The Inclusive Growth Toolkit includes:

  • The Inclusive Growth Score – an interactive online map where users can view measures of inclusion and growth and then download a PDF Scorecard for any of the QOZs at census tract level.

A deep-dive analytics consultancy service that provides community leaders with customized insights to inform policy decisions, prospectus development, and impact investor discussions….(More)”.

The Economics of Artificial Intelligence


Book edited by Ajay Agrawal, Joshua Gans and Avi Goldfarb: “Advances in artificial intelligence (AI) highlight the potential of this technology to affect productivity, growth, inequality, market power, innovation, and employment. This volume seeks to set the agenda for economic research on the impact of AI.

It covers four broad themes: AI as a general purpose technology; the relationships between AI, growth, jobs, and inequality; regulatory responses to changes brought on by AI; and the effects of AI on the way economic research is conducted. It explores the economic influence of machine learning, the branch of computational statistics that has driven much of the recent excitement around AI, as well as the economic impact of robotics and automation and the potential economic consequences of a still-hypothetical artificial general intelligence. The volume provides frameworks for understanding the economic impact of AI and identifies a number of open research questions…. (More)”

Digital dystopia: how algorithms punish the poor


Ed Pilkington at The Guardian: “All around the world, from small-town Illinois in the US to Rochdale in England, from Perth, Australia, to Dumka in northern India, a revolution is under way in how governments treat the poor.

You can’t see it happening, and may have heard nothing about it. It’s being planned by engineers and coders behind closed doors, in secure government locations far from public view.

Only mathematicians and computer scientists fully understand the sea change, powered as it is by artificial intelligence (AI), predictive algorithms, risk modeling and biometrics. But if you are one of the millions of vulnerable people at the receiving end of the radical reshaping of welfare benefits, you know it is real and that its consequences can be serious – even deadly.

The Guardian has spent the past three months investigating how billions are being poured into AI innovations that are explosively recasting how low-income people interact with the state. Together, our reporters in the US, Britain, India and Australia have explored what amounts to the birth of the digital welfare state.

Their dispatches reveal how unemployment benefits, child support, housing and food subsidies and much more are being scrambled online. Vast sums are being spent by governments across the industrialized and developing worlds on automating poverty and in the process, turning the needs of vulnerable citizens into numbers, replacing the judgment of human caseworkers with the cold, bloodless decision-making of machines.

At its most forbidding, Guardian reporters paint a picture of a 21st-century Dickensian dystopia that is taking shape with breakneck speed…(More)”.

The Economics of Social Data: An Introduction


Paper by Dirk Bergemann and Alessandro Bonatti: “Large internet platforms collect data from individual users in almost every interaction on the internet. Whenever an individual browses a news website, searches for a medical term or for a travel recommendation, or simply checks the weather forecast on an app, that individual generates data. A central feature of the data collected from the individuals is its social aspect. Namely, the data captured from an individual user is not only informative about this specific individual, but also about users in some metric similar to the individual. Thus, the individual data is really social data. The social nature of the data generates an informational externality that we investigate in this note….(More)”.

Digital Media and Wireless Communication in Developing Nations: Agriculture, Education, and the Economic Sector


Book by Megh R. Goyal and Emmanuel Eilu: “… explores how digital media and wireless communication, especially mobile phones and social media platforms, offer concrete opportunities for developing countries to transform different sectors of their economies. The volume focuses on the agricultural, economic, and education sectors. The chapter authors, mostly from Africa and India, provide a wealth of information on recent innovations, the opportunities they provide, challenges faced, and the direction of future research in digital media and wireless communication to leverage transformation in developing countries….(More)”.

Data-Sharing in IoT Ecosystems From a Competition Law Perspective: The Example of Connected Cars


Paper by Wolfgang Kerber: “…analyses whether competition law can help to solve problems of access to data and interoperability in IoT ecosystems, where often one firm has exclusive control of the data produced by a smart device (and of the technical access to this device). Such a gatekeeper position can lead to the elimination of competition for aftermarket and other complementary services in such IoT ecosystems. This problem is analysed both from an economic and a legal perspective, and also generally for IoT ecosystems as well as for the much discussed problems of “access to in-vehicle data and re-sources” in connected cars, where the “extended vehicle” concept of the car manufacturers leads to such positions of exclusive control. The paper analyses, in particular, the competition rules about abusive behavior of dominant firms (Art. 102 TFEU) and of firms with “relative market power” (§ 20 (1) GWB) in German competition law. These provisions might offer (if appropriately applied and amended) at least some solutions for these data access problems. Competition law, however, might not be sufficient for dealing with all or most of these problems, i.e. that also additional solutions might be needed (data portability, direct data (access) rights, or sector-specific regulation)….(More)”.

JPMorgan Creates ‘Volfefe’ Index to Track Trump Tweet Impact


Tracy Alloway at Bloomberg: “Two of the largest Wall Street banks are trying to measure the market impact of Donald Trump’s tweets.

Analysts at JPMorgan Chase & Co. have created an index to quantify what they say are the growing effects on U.S. bond yields. Citigroup Inc.’s foreign exchange team, meanwhile, report that these micro-blogging missives are also becoming “increasingly relevant” to foreign-exchange moves.

JPMorgan’s “Volfefe Index,” named after Trump’s mysterious covfefe tweet from May 2017, suggests that the president’s electronic musings are having a statistically significant impact on Treasury yields. The number of market-moving Trump tweets has ballooned in the past month, with those including words such as “China,” “billion,” “products,” “Democrats” and “great” most likely to affect prices, the analysts found….

JPMorgan’s analysis looked at Treasury yields in the five minutes after a Trump tweet, and the index shows the rolling one-month probability that each missive is market-moving.

They found that the Volfefe Index can account for a “measurable fraction” of moves in implied volatility, seen in interest rate derivatives known as swaptions. That’s particularly apparent at the shorter end of the curve, with two- and five-year rates more impacted than 10-year securities.

Meanwhile, Citi’s work shows that the president’s tweets are generally followed by a stretch of higher volatility across global currency markets. And there’s little sign traders are growing numb to these messages….(More)”

Fostering an Enabling Policy and Regulatory Environment in APEC for Data-Utilizing Businesses


APEC: “The objectives of this study is to better understand: 1) how firms from different sectors use data in their business models; and considering the significant increase in data-related policies and regulations enacted by governments across the world, 2) how such policies and regulations are affecting their use of data and hence business models. The study also tries: 3) to identify some of the middle-ground approaches that would enable governments to achieve public policy objectives, such as data security and privacy, and at the same time, also promote the growth of data-utilizing businesses. 39 firms from 12 economies have participated in this project and they come from a diverse group of industries, including aviation, logistics, shipping, payment services, encryption services, and manufacturing. The synthesis report can be found in Chapter 1 while the case study chapters can be found in Chapter 2 to 10….(More)”.