Economics

This course familiarizes students with the way in which science & technology interact with the economy on different scales illustrated by empirical data and introduces them to the notion of engineering production functions and their relation to ordinary production functions and how they are amended by technological progress. The course also introduces students to analyzing scientific progress and Science through knowledge engineering relations and gives them hands-on experience in modeling technological progress in growth models. It gives students insight in science & technology funding and the distinct roles played by private investors and governments, a proper grasp of the key international and national institutions facilitating and/or funding scientific research, an introductory knowledge of how to model networks and the flow of information or other assets through networks.

Economic history is a branch of economics. This course focuses on the transformation of modern China, combines classical studies and cutting-edge literature, and examines Chinese history from the perspective of economics. The course consists of two parts. Firstly, it introduces the economic facts and systems of Chinese history, including per capita income level, productivity, technological progress, fiscal system, market, monetary and financial system, etc. Secondly, it discusses the response and economic performance of modern China under the impact of western countries.

This course must be taken simultaneously with CONTEMPORARY JAPANESE ECONOMY B. This course names and addresses the causes of economic problems that emerged in Japan within the last few decades. 

This course examines the factors that lead companies of strategic importance to France's economic sovereignty to relocate their activities or be taken over by foreign players. It studies theoretical concepts concerning industrial sovereignty, French public policies aimed at protecting strategic companies, case studies, and exchanges with guest speakers.

This course is part of the Laurea Magistrale degree program and is intended for advanced level students. Enrolment is by permission of the instructor. This course introduces the main concepts of Python and its use in economic and econometric analyses. In particular, the course focuses on: 1) data types: definitions and use; 2) pandas; 3) basic programming structures (loops, if,...); 4) a primer on classes; and 5) applications to economics and econometrics.

This course compares interdisciplinary approaches to economics (sociology, history, political science, business) through the study of a specific object: consumption. It highlights the contributions of each of these perspectives to underline their specificity. It also considers how they can be combined to produce a more complete and realistic representation of consumption, and through it, of our society. After a presentation of the main viewpoints and narratives on consumption, thematic sessions cross-reference these viewpoints on a variety of subjects and issues including quality, choice, credit and money, fashion, overconsumption, and addiction.

This course covers three main topics: measuring the per capita income of countries; measuring inequalities; and measuring poverty. It examines key indicators, how these indicators are actually constructed using available data, and the conditions for their comparison over time and between countries.

Recently econometrics has explored almost every phenomenon occurring in societies around the globe. Its methodology affects nearby disciplines such as finance and industrial organization, business administration, marketing science, accounting; furthermore, sociology, politics, and history. 

The emphasis of this class is on linear models with R. The objective is to learn what methods are available and more importantly, when they should be applied. Many examples are presented to clarify the use of the techniques and to demonstrate what conclusions can be made.