Vrije Universiteit Amsterdam  Follow

Summer School - Research on Productivity, Trade, and Growth, Vrije Universiteit Amsterdam, Netherlands

Publish Date: May 15, 2022

Deadline: Jun 27, 2022

Event Dates: from Jul 25, 2022 12:00 to Jul 29, 2022 12:00

This course provides a self-contained set of lectures to bring PhD students and practitioners up to speed in the area of empirical research using firm-level data. The course starts with an introduction to models of firm dynamics and innovation. Next, attention is paid to estimation of productivity, including methods to cope with sample selection, endogeneity of inputs, and lack of firm-level quality adjusted prices. The insights from production function estimation are used to develop a framework to estimate markups using the so-called production approach. This framework is used to discuss the recent debate around rising market power. Finally, the course discusses recent empirical work on structural modeling of productivity, trade and growth. Besides theory, the course will include a set of lectures on data handling, programming, and algorithms for empirical applications, as well as daily hands-on practical sessions. To enroll, students are expected to have finished first-year PhD economics and econometrics courses and have some experience in applied research.

Course leader
Professors Eric Bartelsman (Vrije Universiteit Amsterdam, Tinbergen Institute, IZA), Jan De Loecker (KU Leuven, NBER, CEPR), and Jo Van Biesebroeck (KU Leuven, CEPR).

Target group
The summer school welcomes second year (research) master students, PhD students, post-docs, and professionals from a wide variety of fields (e.g. macro, applied micro, industrial organization, international trade, labor, empirical finance, regional and urban) who are interested in learning state-of-the art methods for (cross-country) firm-level panel data analysis.
The course serves as a training activity of the Competitiveness Research Network, CompNet, and is open to its members and participating institutions.

Admission requirements
A formal background in statistics or econometrics, as well as macro and micro is required from students (at the level of first year courses in a graduate school PhD program in economics).

Course aim
This course provides a self-contained set of lectures to bring PhD students and practitioners up to speed in the area of empirical research using firm-level data.

Credits info: 3 EC
3 ECTS (with empirical paper), 1 weeks course work. Note that it is the student’s own responsibility to get these credits registered at their university.

Fee info
EUR 1000: PhD and Master Student € 500
EUR 1500: Academics (incl postdocs) € 1.500
Professionals € 2.000

For more information click "LINK TO ORIGINAL" below.

Further Official Information

Link to Original

Similar Opportunities


Disciplines

Data Sciences

Economics

Quantitative Economics

Science

Study Levels

Doctoral

Graduate

MA

PhD

Postdoctoral

Postgraduate

Research

Eligible Countries

International

Host Countries

Netherlands