Microeconometrics in Stata

Microeconometrics in Stata

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Course description

The FEBT Summer school Microeconometrics in STATA specializes in the use of statistical methods and research designs essential for high-quality empirical economic work. The experts in the field provide the scientific and practical knowledge of methods used for testing causal relationships in economic and business processes. The growing importance of this type of information requires the use of specific techniques. This course provides up-to-date coverage of different microeconometric methods and models. Apart from a review of relevant theory, the focus of the course is on the practical application of microeconometric techniques appropriate for different data and contexts.
Practical sessions will demonstrate how to implement the studied models in STATA.

Learning outcomes

  • Assess the advantages and disadvantages of covered microeconometric methods

  • Evaluate the suitability of econometric methods within different contexts and relate them to knowledge from other courses

  • Evaluate the quality of different  applications of microeconometric techniques

  • Create own research questions that can be answered empirically

  • Create appropriate research designs for different research questions

  • Create own computer codes that implement econometric methods

Target audience 

  • Graduate and postgraduate students in economics (or in social sciences, technical sciences or science related fields) who intend to round out their knowledge in the field and use it in the process of preparing dissertations.
  • Researchers and professionals working in the field.

Credits transfers (ECTS)

This FEBT Summer school program offers participants the possibility of going through evaluation process for the purspose of requesting official credit transfers (ECTS).

  • Evaluation process

Participants will be assessed on the basis of active participation in classes, and a written exam in the form of an empirical project. In particular, using data and a topic of their choice (existing research can be replicated), participants will have to demonstrate the proficiency in using microeconometric techniques covered in the course. The project is individual, and consist of textual part with motivation, explanations and conclusions, as well as the Stata or R code.

Certificate of attendance

Participants not interested in credit transfer will instead receive the Certificate of Attendence, stating the course completed. These students will be neither evaluated nor graded.

Course fee

The price of course includes lecture and practical hours. More details about fees find here!

Course outline
 

Week of June 27 - July 1, 2022 (Face-to-face)

Lecture themes*

Lecturers

Course hours

Fundamentals of causal inference​

Jurica Zrnc (HNB)

17

Parallel worlds and discontinuities

Ivan Žilić (EIZG)

16

Dynamic Panel Data Models

Blanka Škrabić Perić (FEBT)

12

* detailed schedule is available here.