Obiettivi formativi
The course provides an understanding of the economics of the internet and the digital economy. It will provide students with concepts from economic theory to make sense of the significant transformations brought about by the emergence and diffusion of information and communication technologies (ICTs). Economics is not only a body of knowledge and concepts, but it also relies on a methodological framework to examine social and economic outcomes, largely based on statistical and quantitative concepts. These concepts and methods are often at the centre of both business and policy decisions. Against this backdrop, the course will also provide students with the ability to critically study and interpret economic data.
Students will gain insights on the key changes spurred by the digitalisation of our economy. These include the emergence of new technologies, such as artificial intelligence, new business models such as online platforms and advertising and how these changes impact key economic variables, such as a productivity and employment. As a result, the students will be able to understand the new environment in which businesses and economic activity takes place.
Risultati di apprendimento attesi
Knowledge and understanding:
The course will provide students with a vast overview of ideas and theories to understand the process of digitalization and the impact it has on economic activity. Students will also learn key concepts to better understand and assess technological change brought about by the digital transformation. Moreover, they will also become familiar with economic data and methodologies commonly use in empirical analysis.
Applying knowledge and understanding:
Students will be able to apply the knowledge in the following ways:
- Ability to assess the importance of new emerging digital technologies for businesses.
- Appreciate the importance of standards, platforms and infrastructure in the digital economy and how these impact business decisions.
- Evaluate and understand the implications of the digital transformation for the economy, the labour market and productivity.
- Confidently analyse key economic variables, such as productivity, investment and employment and their relationship with the digital transformation.
- Accurately select variables and data to measure the digital economy.
Making judgements:
Students will be able to analyse the implications of the digital transformation for businesses and key economic variables. They will do so by relying on different understandings of these phenomena, that will be discussed extensively throughout the course. Finally, throughout the course student will develop the ability to critically assess economic arguments.
Communications Skills:
The course will provide students with accurate and correct terms to understand and discuss issues relating to technological change and its relationship with economic variables. Oral presentations will be a crucial aspect of the course, providing students with the confidence to clearly discuss in public key economic aspects relating to the digital transformation.
Learning skills:
The course will empower students with the confidence and competence to critically discuss economic concepts and empirical facts related to the digital transformation and the economic changes brought about by the internet.
Prerequisiti
Basic knowledge of economic concepts, such as labour, capital, productivity and an introductory level of statistical analysis.
Contenuti Del Corso
The course focuses on 5 key areas:
- Overview of the digital economy and measurement issues.
- Infrastructure, standards, and platforms.
- Applications of digital transformations, e.g. AI, platform business models, and intangible assets.
- Digitalisation, productivity, and the future of work.
- The value of data and digital policy
Testi Di Riferimento
Lecture slides, research papers and articles will be made available during the course on the e-learning platform.
Metodologie Didattiche
The course will blend face-to-face lectures with group presentations and discussions based on readings. Some key topics will be discussed with guest lecturers.
Modalità di verifica dell'apprendimento
Proficiency and attainment of the learning outcomes will be assessed through group project presentations at the end of the term, which will provide further opportunity for discussion in class, and a oral exam. These assessments will count for 30% and 70% respectively.
Group project will take place from week 12 and will provide students with the opportunity to apply the knowledge and skills acquired during the module to a topic of their choosing that interests them. Students will present an applied, data-driven exploration of the digital transformation in the economy. This can be based on any source of data or case study. A range of relevant topics and sources will be presented in the first class of the module. While students are encouraged to come up with their own specific topic for this project, possible topics can be:
1. A focus on digital technologies in a specific country and industry.
2. A focus on a specific digital technology (AI, internet, robotization, digital trade) and its diffusion across sectors and countries.
3. A case study of business models that have undergone significant changes through internet and networks.
4. A policy challenge that has emerged through digitalization. E.g. the value of data, market concentration, technology-related unemployment, growing inequalities.
In carrying out this project students will be expected to:
1. Present the topic the students have chosen and its relevance (Making judgements and Communication skills).
2. Discuss the key concepts that are relevant to study the topic (Applying knowledge and understanding).
3. Discuss the key issue and implications around the chosen topic (Applying knowledge and understanding and Learning skills).
4. Show how the data they chose shed light on the issues around their topic (Learning skills).
5. Present in a clear and concise manner the main results of their analysis (Learning skills and Communication skills).
1.
The oral exam will ask students to answer a few general questions over the whole programme:
1. Show an understanding of the topic they are asked to discuss (Knowledge and understanding).
2. Discuss the main issues concerning the topic (Applying knowledge and understanding).
3. Present their arguments in a clear and concise manner, using appropriate vocabulary and concepts (Communication skills).
Exempted and non-compliant students will be assessed solely on the oral assessment, over a larger number of questions
Criteri per l’assegnazione dell’elaborato finale
Excellent marks are required in the final exam, as well as a thesis proposal that fits with the module's topic and the advisor's individual expertise
Settimana 1
Infrastructure and standards:
Greenstein, S. 2020, The basic economics of Internet infrastructure, Journal of Economic Perspectives, 34(2), 192-214.
Simcoe, T., and Watson, J. (2019). Forking, fragmentation, and splintering. Strategy Science, 4(4), 283-297.
Farrel, J. and Simcoe, T., (2012) Four Paths to Compatibility in Peitz, M., Waldfogel, J. The Oxford Handbook of the Digital Economy, Oxford University Press, Oxford UK.
Settimana 2
IT and productivity:
OECD Economic Outlook (2019) Issue I, Chapter 2 “Digitisation and Productivity: a Story of Complementarities”.
Biagi F., (2013) ICT and Productivity a Review of the Literature, JRC Technical Report.
Mattsson, P., & Reshid, A. (2023). Productivity divergence and the role of digitalisation. Economic Analysis and Policy, 79, 942-966.
Settimana 3
Competition in a world of capitalism without capital:
Guellec 2020 “Digital innovation and the distribution of income” in Corrado, Haskel, Miranda and Sichel Measuring and Accounting for Innovation in the Twenty-first Century, NBER, University of Chicago Press
Lieber, E., and Syverson, C., (2012) Online vs. Offline Competition in Peitz, M., Waldfogel, J. The Oxford Handbook of the Digital Economy, Oxford University Press, Oxford UK.
Durand, C., & Milberg, W. (2020). Intellectual monopoly in global value chains. Review of International Political Economy, 27(2), 404-429.
Settimana 4
Intangibles and digitalisation:
Corrado, C., Haskel, J., Jona-Lasinio, C., & Iommi, M. (2022). Intangible capital and modern economies. Journal of Economic Perspectives, 36(3), 3-28.
Crouzet, N., Eberly, J. C., Eisfeldt, A. L., & Papanikolaou, D. (2022). The economics of intangible capital. Journal of Economic Perspectives, 36(3), 29-52.
Brynjolfsson, E., Rock, D., & Syverson, C. (2021). The productivity J-curve: How intangibles complement general purpose technologies. American Economic Journal: Macroeconomics, 13(1), 333-372.
Settimana 5
Network Analysis Workshop
Settimana 6
Intermediate report on end-of-term group presentations
Settimana 7
The value and governance of data:
Coyle D., Diepeveen S., Wdowin J., Kay L., Tennison J., (2020) The Value of Data – Summary Report 2020 and Literature Review, Bennet Institute for Public Policy, the Open Data Institute and Nuffield Foundation
Savona, M. (2019). The value of data: Towards a framework to redistribute it. SPRU Working Paper Series 2019-21.
Savona, M. (2026). Data Value and Data Governance. Forthcoming in the Handbook of Big Data and Economic Development. Edward Elgar and IT for Change.
Mohades, S. and Savona, M. (2026). Data Rent and Surplus Value in the Digital Economy. Mimeo
Settimana 8
Artificial Intelligence:
Mateos-Garcia, (2018) The Complex Economics of Artificial Intelligence, NEST Working Paper.
Agrawal, A., Gans, J. S., & Goldfarb, A. (2019). Artificial intelligence: the ambiguous labour market impact of automating prediction. Journal of Economic Perspectives, 33(2), 31-50.
Klinger, J., Mateos-Garcia, J. C., & Stathoulopoulos, K. (2018). Deep learning, deep change? Mapping the development of the Artificial Intelligence General Purpose Technology.
Settimana 9
Digital infrastructure and geopolitics:
Papadakis, I. and Savona, M. (2024) The Uneven Geography of Digital Infrastructure:Does It Matter? https://leap.luiss.it/wp-content/uploads/2024/11/PB14.24-The-Uneven-Geography-of-Digital-Infrastructure.pdf
Lehdonvirta, Vili & Wu, Boxi & Hawkins, Zoe. (2023). Cloud empires’ physical footprint: How trade and security politics shape the global expansion of U.S. and Chinese data centre infrastructures. SSRN Electronic Journal. 10.2139/ssrn.4670764.
Settimana 10
Private sector testimonial
Settimana 11
Project presentations
Settimana 12
Project presentations