Project duration:

10 weeks

 

Expected outcomes and deliverables:

 

Learn the theory of productivity and efficiency analysis from an international leader in the field and learn to program and test in R various methods developed in the field of productivity and efficiency analysis.

 

To get a sense of this type of research, see:

 

https://ideas.repec.org/p/qld/uqcepa/123.html

 

https://ideas.repec.org/p/qld/uqcepa/119.html

 

and more publications at:

 

https://ideas.repec.org/e/pze33.html

 

Suitable for:

The student must have good programming skills in R (statistical language).

 

Candidates with strong skills in other popular programming languages like C, C++, Julia, Python, Matlab, etc. who are willing to quickly learn and program in R during this internship are also welcome to apply.

Primary Supervisor:

 

Valentin Zelenyuk (ARC Future Fellow)

 

Further info:

  v.zelenyuk@uq.edu.au