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Root number
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467097 |
Semester
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FS2021 |
Type of course
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Seminar |
Allocation to subject
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Economics |
Type of exam
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not defined |
Title |
PhD Reading Group in Labor Market and Economic GeographyLabour Market and Economic Geography |
Description |
Course Instructors
Name: Maximilian v. Ehrlich, Jeanne Tschopp
Office: A214, A218 UniS
Office Hours: By appointment
Email: maximilian.vonehrlich@vwi.unibe.ch, jeanne.tschopp@vwi.unibe.ch
This course is designed for PhD and advanced master students. Please register by the instructors to obtain the zoom link.
This PhD reading group is a continuation of the PhD course “Labor Markets and Economic Geography” offered in the Fall semester. The goal is to discuss the most relevant and recent papers covering topics which have aroused substantial interests in the fields of Labor Economics and Economic Geography over the past few years. Everyone is expected to present once and attend all classes.
Recently, the phenomenon of rising product market concentration has received a large amount of
attention from academics and policymakers. In the first part of the course, we will see how this well-documented fact is related to the widespread fall of labor’s share of GDP that took place in recent decades in the United States and many other countries. We will study the role of firms in rising concentration, mostly adopting a cross-industry approach. We will then examine whether empirical evidence is consistent with good (efficient) concentration and more competition, with superstar firms becoming increasingly dominant, or whether evidence is suggestive of bad (inefficient) concentration, with less productive firms becoming entrenched and imposing barriers to entry. We will also study articles that use spatial data variation to examine the link between concentration in product markets and concentration in labor markets. Finally, we will discuss the implications of increased concentration for both wages and wage inequality. In the second part of the course, we focus on spatial differences in wages and sources of agglomeration economies driving these differences. We study the endogenous sorting of more productive firms into some areas as well as whether high-productive workers are significantly more likely to be matched to high-productive plants within each region. Recent work explores the role of technological changes for local labor markets and agglomeration economies. Based on these papers we discus to what extend increases in the skill bias of agglomeration economies may contribute to wage differences. Finally, we study spatial equilibrium model with occupation-specific agglomeration externalities and the policy implications derived from this framework.
More information is available on ILIAS
The seminar will be held via Zoom, except on June 4th 2021. On this date the seminar will be held in Room S201 UniS.
Lectures:
Friday 10:00 – 12:15 h
Dates: 05.03 (Kick-off meeting for organization of presentations) 16.04./23.04./07.05./14.05./28.05/04.06.2021
Location: online, zoom / only on June 4th the seminar will take place in room S201 UniS
Evaluation
The breakdown of the course grade is as follows:
Paper Presentation 80%
Discussion and Participation 20%
No midterm or final exam
Please note:
• This course is designed for PhD and advanced master students. If you are a
master student, please register by the instructors.
• Everyone is expected to attend class and participate regularly. Students failing
to attend class more than once during the semester will not receive a grade. |
ILIAS-Link (Learning resource for course)
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Registrations are transmitted from CTS to ILIAS (no admission in ILIAS possible).
ILIAS
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Link to another web site
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Lecturers |
Prof. Dr.
Maximilian v. Ehrlich, Department of Economics ✉
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Prof. Dr.
Jeanne Tschopp, Department of Economics ✉
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ECTS
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6 |
Recognition as optional course possible
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Yes |
Grading
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1 to 6 |
|
Dates |
Friday 10:15-12:00 Weekly
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Friday 28/5/2021 10:15-12:00
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Rooms
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External rooms |
S201
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Students please consult the detailed view for complete information on dates, rooms and planned podcasts. |