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Open Positions for Research Interns

  • Writer: Emmanuel Adu Sarfo
    Emmanuel Adu Sarfo
  • May 6, 2022
  • 2 min read

Updated: Jun 13, 2022

Do you find working with big data, economics research, and sharing your ideas about research fascinating? Join our two-month internship on topics about time series, cross-sectional, and panel data analysis with Stata, R, and python. Apply here





Application deadline: June 20, 2022

Successful applicants will hear from us within three days after the deadline. Internship starts on the 25th June, 2022. No prerequisite skill required. Top interns will be employed at the Lab as research assistants.


In our project we want to

  • Introduce interns to statistical analysis with R, python, and Stata.

  • Teach interns how to read and engage with the academic literature, help them formulate their own research ideas, work independently on these ideas and present them.

  • Introduce interns to practical aspects of collecting and working with data, and how to replicate existing papers and develop their own ideas.

Organization of the internship:

  • In the first stage, interns will learn statistical and econometrics techniques using R, python, and stata.

  • Interns will then learn time series, cross-sectional, and panel data analysis with the aforementioned softwares.

  • In the second stage, we will give brief overviews of selected topics that are closely related to our own research interests. We will pose some broad questions that are at the forefront of academic literature in our research areas.

  • We will get interns acquainted with the academic literature and try to instill effective and critical reading skills. We will offer a list of papers in each field and interns will discuss paper(s) they have selected during seminar hours.

  • In the final stage, interns will write a 5-10 page paper using techniques taught on the program.

Takeways from the intership:

  • Skills in Python, R, and Stata;

  • Critical review of academic literature;

  • In-depth knowledge of econometrics;

  • Systemic thinking.

Apply here

 
 
 

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