Tehran Institute for Advanced Studies (TeIAS)

/ Topics in Household Finance

Short Course

Topics in Household Finance

Jan 19 2019 - Jan 23 2019

Venue

Khatam University, Building No2.
Address: Mollasadra Blvd., North Shirazi St., East Daneshvar St., No.17. See location on Google map

+982189174612

Dr. Kaveh Majlesi

Associate Professor at the Department of Economics and Knut Wicksell Centre for Financial Studies at Lund University

Overview

This course offers a graduate level introduction to the field of Household Finance. In addition to providing an overview on the reasons behind the emergence of the field and important stylized facts, the course focuses in depth on selected topics, in particular, the determinants of households’ allocation of wealth in general and risky assets in particular and the consequences of debt and asset holding.

Biography

Kaveh Majlesi is an Associate Professor at the Department of Economics and Knut Wicksell Centre for Financial Studies at Lund University in Sweden. He has a PhD in Economics from the University of Texas at Austin and a Master’s degree in Public Administration from Harvard University. Kaveh’s research interests are in the areas of Household finance, Labor economics, and Labor and finance. His current research focuses on the effect of labor market shocks on different decisions made at the firm, household and individual levels as well as the determinants and consequences of asset holding and portfolio choice.

Schedule

09:30 – 10:00 Opening
10:00 – 10:30 Introduction to the School
10:30 – 10:45 Coffee / Tea Break
10:45 – 12:00 Introduction to Statistics – Session 1
12:00 – 13:15 Lunch Break
13:15 – 14:15 Python Programming – Basics – Session 1
14:15 – 14:30 Coffee / Tea Break
14:30 – 15:30 Introduction to Statistics – Session 2
15:30 – 15:45 Coffee / Tea Break
15:45 – 16:30 Introduction to Statistics – Session 3
16:30 – 16:45 Coffee / Tea Break
16:45 – 17:45 Data Science in Practice Panel

09:30 – 10:00 Opening
10:00 – 10:30 Introduction to the School
10:30 – 10:45 Coffee / Tea Break
10:45 – 12:00 Introduction to Statistics – Session 1
12:00 – 13:15 Lunch Break
13:15 – 14:15 Python Programming – Basics – Session 1
14:15 – 14:30 Coffee / Tea Break
14:30 – 15:30 Introduction to Statistics – Session 2
15:30 – 15:45 Coffee / Tea Break
15:45 – 16:30 Introduction to Statistics – Session 3
16:30 – 16:45 Coffee / Tea Break
16:45 – 17:45 Data Science in Practice Panel

09:30 – 10:00 Opening
10:00 – 10:30 Introduction to the School
10:30 – 10:45 Coffee / Tea Break
10:45 – 12:00 Introduction to Statistics – Session 1
12:00 – 13:15 Lunch Break
13:15 – 14:15 Python Programming – Basics – Session 1
14:15 – 14:30 Coffee / Tea Break
14:30 – 15:30 Introduction to Statistics – Session 2
15:30 – 15:45 Coffee / Tea Break
15:45 – 16:30 Introduction to Statistics – Session 3
16:30 – 16:45 Coffee / Tea Break
16:45 – 17:45 Data Science in Practice Panel