Tehran Institute for Advanced Studies (TeIAS)

/ Short Course

Short Course

Consumer Good Search: Theory and Evidence

December 14, 2019

Venue

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

+982189174612

Dr. Saman Darougheh

Researcher at the Danish Central Bank

Overview

I develop a model of the consumer good market where the individual’s search decision is consistent with balanced-growth preferences. Here, optimal search is independent of income but increases with the time endowment. I characterize the potentially multiple equilibria and test whether the model can replicate differences in observed shopping behavior across employed and unemployed individuals. Using the American Time Use Survey, I show that unemployed individuals have an almost 50% larger time endowment available for leisure and shopping. Meanwhile, they only spend 27% more time shopping than the employed. In the calibrated model, however, unemployed households will spend around twice as much time shopping as employed households. I argue that consumer-goods search models are not yet ready for business cycle analysis, and discuss ways of reconciling the model with the data.

Biography

Saman Darougheh is a researcher at the Danish Central Bank. He has recently finished his Ph.D. in economics at the University of Stockholm. His research is on macroeconomics, labor economics, and search theory. Most of his work is on occupational mobility, human capital, and unemployment fluctuations. Some work is on the relationship between labor market screening, unemployment duration, and jobless recoveries. He has also applied search theory to study price dispersion in consumer good markets.

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