Seminar - Data Analysis is a Process: Doing real life empirical projects

November 18th | 14:00

"Data Analysis is a Process: Doing real life empirical projects"
Gábor Békés
Assistant professor at the Department of Economics and Business of the Central European University in Austria.
Senior research fellow at the KRTK Institute of Economics in Hungary

Hybrid Seminar: Room 157 and Zoom (access here)

Abstract

In the lecture will be discussed how real-life analytical projects are different to many academic examples that students have typically seen.
The talk is centered around three topics:

1. Starting phase of a project: data collection and data wrangling and possible difficulties associated with the process.
2. The research question and answer, how the analytical process moves from a broad question, into a testable model and the choice of methods to apply.
3. What to do with results we got, how to generalize from the data, think about external validity and answer the research question we started with.

The lecture is based on the speaker's new textbook:  Békés-Kézdi: Data Analysis for Business, Economics, and Policy (Cambridge UP 2021)

Speaker
Gábor Békés is an assistant professor at the Department of Economics and Business of the Central European University in Austria, and a senior research fellow at the KRTK Institute of Economics in Hungary, and a research affiliate at CEPR. His research is focused on international economics; economic geography and applied IO, and was published among others by the Global Strategy Journal, Journal of International Economics, Regional Science and Urban Economics or Economic Policy and have authored blogs and commentary on VOXEU.org and other outlets. I worked in several projects of European Commission and the ECB. At CEU he teaches a sequence of Data Analysis courses. With Gábor Kézdi, he wrote a new comprehensive textbook "Data Analysis for Business, Economics, and Policy" for Cambridge University Press, published in May 2021.

Target audience
Students of the Master in Economics and Master in Data Analytics
Lecture open to the general public

For more information please contact:
Paula Isabel Carvalho
pic@fep.up.pt