The increasing availability of individual data from surveys has led not only to a significant growth in the number of academic jobs of an empirical nature using this type of information but also to a greater number of studies commissioned by public and private institutions in which this type of data is used.

The characteristics of this type of data are such that statistical and econometric techniques appropriate for their treatment have a specific nature, generally differentiated from those appropriate for time series data. The qualitative nature of most of the information, the representativity of the samples used, the censoring issues associated to the dependent variables are, among others, some of the aspects that distinguish these techniques from an econometric perspective.

Furthermore, the growing importance of this type of information has also meant that a significant number of official surveys from different countries have a panel data structure. That is, one individual (person, household, firm) is observed for several time periods. This type of data have some econometric advantage and also requires the use of specific techniques.

Finally, it is becoming a usual practice to evaluate public policies by comparing the results of a given treatment in a group of individuals with those of another group with similar characteristics that hasn’t been the object of the treatment. To do this, information from surveys is also used, this being a specific framework for the application of econometric techniques for individual data.

Who will benefit from this program?

Given the strong methodological and empirical nature of the course methodology, candidates to take this Summer School include:

  • Researchers and professionals from public institutions (economists from ministries of economy, labor, industry, etc.,) or private institutions (economists from the research departments of financial firms or consultants) whose work requires the handling and treatment of individual data.
  • PhD and master students in economics (or in the social sciences) who intend to or are in the process of preparing dissertations with an empirical component that requires an econometric treatment of individual data.
  • Holders of undergraduate degrees in economics or the social sciences who wish to round out their background in quantitative topics that have a general and/or specific applicability.

Course schedule

The schedule of the Barcelona Microeconometrics Summer School is designed to allow students to participate in all courses offered. However, courses can also be taken individually.

time table

All courses include 10 hours of lecture time and 5 hours of practical time.

Want to mix and match courses in different Summer School programs?

Compare Summer School program schedules [pdf]

Program directors

Sergi Jiménez-Martín

UPF and Barcelona GSE - on leave

Course offer for Summer 2016

"Full" indicates that no more seats are available for 2016.

June 27 - July 1 | 9:00-11:00 (Lecture, M-F) and 15:00-16:15 (Practical, M-Th)

Panel Data Linear Analysis Full

Instructor: Badi Baltagi (Syracuse University)

June 27 - July 1 | 11:30-13:30 (Lecture, M-F) and 16:15-17:30 (Practical, M-Th) 

Econometrics of Cross-section Data with Applications Full

Instructor: Jaume Garcia-Villar (UPF and Barcelona GSE)

July 4-8 | 9:00-11:00 (Lecture, M-F) and 15:00-16:15 (Practical, M-Th)

Quantitative Methods for Public Policy Evaluation Full

Instructor: Stephan Litschig (IAE-CSIC and Barcelona GSE)

July 4-8 | 11:30-13:30 (Lecture, M-F) and 16:15-17:30 (Practical, M-Th)

Dynamic and Non-linear Panel Data Models Full

Instructors: Sergi Jiménez-Martín (UPF and Barcelona GSE) and J.M. Labeaga (UNED)

  • Time tables are designed to allow participation in multiple courses.
  • See below for course outlines and instructor biographies.