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Human Capital, Innovation and Growth (PhD Course)

Lecturer: Professor Dr Silke Übelmesser, (FSU Jena)
Venue: University of Jena (room to be announced); hybrid format (if demanded) for class on 8 February.
Date: January 25-27, 2022 and February 8, 2022
Registration: Please register by sending an email to silke.uebelmesser@uni-jena.de by December 01, 2021 (first come, first served), listing the paper, you plan to present and replicate (giving 1-2 reasons for your choice).

The PhD course has been moved to an online format.

Tuesday – 25 January 2022:   8:30-16:15
Human capital in closed and open economies

Wednesday – 26 January 2022:   8:30-14:30
Technical change, task-based model, polarization

Thursday – 27 January 2022:   8:30-14:30
Human capital, innovation and growth

Tuesday – 08 February 2022: 8:30-14:30
Presentations of papers chosen for replication

The course will be on-site in Jena if the situation allows it based on 3G: vaccinated, recovered or tested – see here for more information: FAQs about the coronavirus (uni-jena.de).

It is possible to organize the class on 8 February as a hybrid session if there is demand.

Course outline:
In this course, we will focus on skilled human capital and its relation with innovation and growth.

Topics include:
Human capital investment in closed and open economies; language as a special type of human capital; effect of technical progress (digitization) on skill composition; tendencies of polarization on the labor market; role of human capital for innovation and growth

The purpose is to make students familiar with important contributions and identify current topics.

Requirements for passing the course
Part I: Group work (20% of final grade):

  • Students have to participate in a group work and make a group presentation. Allocation of topics will be before Christmas; presentations will be during class on 26 and 27 January.

Part II: Replication study (80% of final grade):

Students are required to replicate the main parts of an empirical paper on the course’s topics (in a broad sense).

  • Presentation of the paper (20% of final grade):
    Students should select a suitable paper before the course and present this paper as well as their ideas about the replication during class on 8 February.
  • Replication (60% of final grade):
    Students have to submit a paper (some weeks after the course) describing the replication exercise. Further details will be provided during the course.

[If you are not familiar with quantitative or qualitative methods needed for a replication study, there might be other options for Part II. In this case, please get in touch with me.]

All parts have to be passed.