Suggested Book: ​Macroeconomics - A European Perspective - by Olivier Blanchard, Alessia Amighini, Francesco Giavazzi, Fourth Edition

SLIDES

​Your course grade = TBD

Topics:

1. Introduction (Blanchard Ch.1 and 2) 

2. The Goods Market (Blanchard Ch. 3)

3. Financial Market (Blanchard Ch. 4)

4. IS-LM Model (Blanchard Ch. 5 and 6)

5. The labor Market (Blanchard Ch. 7)

6. From the Short to the Medium Run: The IS-LM-PC Model (Blanchard Ch. 8 and 9)

Suggested Book: International Economics: Theory and Policy (Twelfth Edition, Global Edition) by Paul R. Krugman, Maurice Obstfeld, and Marc J. Melitz

SLIDES

Your course grade = 100% based on final exam on Nov. 21

Topics and tentative schedule:

Part 1: International Trade Theory: (on Sep. 19, 26)

1) The Ricardian model and the gravity model of world trade (Chapter 2 and 3)

Part 2: The Balance of Payments, Foreign Exchange Markets, and Exchange Rates: (on Oct. 3, 10, 17)

2) The balance of payments (Chapter 13)

3) Nominal and real exchange rates; fixed exchange rates (Chapter 14 and 15)

4) Purchasing power parity (Chapter 16)

5) The currency market (Chapter 17 and 18)

Part 3: Open-Economy Macroeconomics and the International Monetary System: (on Nov. 7 and Nov. 14)

6) The European monetary system, the euro and current challenges of the european monetary integration (Chapter 21)

7) The impact of covid 19 in the global economy (TBD)

Ouvrage conseillé (mais pas obligatoire) : L'Économie - CORE

Introduction 

Inégalités des revenus et des patrimoines​

Inégalités des revenus de travail​

La perception des inégalités​​

Podcasts et articles intéressants :

Covid's effect on inequality par Jonathan D. Ostry 

Gender and employment in the COVID-19 recession: Cross-country evidence on ‘she-cessions’ par John Bluedorn, Francesca Caselli, Niels-Jakob Hansen, Ippei Shibata, Marina M. Tavares 

Women and money par Michelle Tertilt 

Think like an economist par Betsey Stevenson & Justin Wolfers

Institute for New Economic Thinking

Les inégalités hommes/femmes sur le marché du travail par Cécilia Garcia Peñalosa 

Prerequisites:

This course is open to 3rd undergraduate students of any field. However, a good level of spoken and written English is required (B1 level), as well as Statistics I. 

Course description:

This course provides an introduction to the analysis of inequalities in income, wealth, access to education, gender, and ethnicity. Three sets of core questions will be tackled: 1) How has inequality evolved over time? 2) What are the theories that can explain the level of inequalities and its dynamics? 3) How do policies affect inequalities? 

This course will also show how data can be used to understand and address these important social and economic problems, by providing an introduction to basic methods in data science (Python), including regression, causal inference. Students will be assigned empirical projects that will give them hands-on experience in working with data from the World Inequality Database, the OECD, the IPUMS International, and the Opportunity Insights. 

The objectives of the course are the following: 

• Will be able to analyze the social mobility and social class relations in modern industrial and/or post-industrial societies. 

• Identify the reasons for social inequalities in industrial and/or post-industrial societies. 

• Compare different forms of social inequalities such as social class, gender, and ethnicity

• Develop a methodological framework for analyzing social inequalities

Required readings:

There is no textbook that covers all the material that we will see in class, so to succeed in this course it is essential to attend all the lectures. Lecture notes will be posted on the course website, but these notes are not comprehensive, so it is critical to be attentive and to take notes during lectures. Lectures are key to doing well in this course. 

Python references: 

1. Python Programming for Economics and Finance

2. Wealth distribution dynamics and other inequality measures in Python

Course structure:

The course is organized into two parts: 

1. class 1 & 2: introduction and core concepts, empirical tools (Python)

2. invited lecturers: 

Nov 30: Marina Tavares (IMF)

Dec 7: Miruna Pochea (Babes-Bolyai University) on "Financial literacy and income inequality"

Grading:

• Project to be completed in group (3-4 students at most): 80%. The project will be presented to the rest of the class, and a podcast will be created and published online. 

• Participation: 20%

Syllabus

Le matériel du cours sera disponible dans l'espace Cours CY.