12 July 2019
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.
It is directed by Sergi Jiménez-Martín, Professor of Economics at the Universitat Pompeu Fabra and Barcelona GSE Affiliated Professor.
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.
The schedule is designed to allow students to participate in all courses in the Microeconometrics program.
Courses can also be taken individually or in combination with courses in other BGSE Summer School programs, schedule permitting.
Six courses will be offered in the Microeconometrics Summer School 2019:
Week 1 (July 1-5, 2019)
Panel Data Linear Analysis
Instructor: Badi Baltagi (Syracuse University)
The Impacts of Policies on Health Outcomes
Instructor: Judit Vall (University of Barcelona)
Econometrics of Cross-section Data with Applications
Instructor: Jaume Garcia-Villar (UPF and Barcelona GSE)
Week 2 (July 8-12, 2019)
Quantitative Methods for Public Policy Evaluation
Instructor: Stephan Litschig (National Graduate Institute for Policy Studies, Japan)
Dynamic Structural Models for Policy Evaluation
Instructor: Joan Llull (MOVE, UAB and Barcelona GSE)
Dynamic and Non-linear Panel Data Models
Instructor: Sergi Jiménez-Martín
At the conclusion of the Summer Schools, participants will receive a certificate for the number of hours attended. All Barcelona GSE courses require an average of twice the lecture hours for readings, pre-readings and class preparation. Interested students should check with their universities to see how these hours are transferable into ECTS credits.
EUR 1250: Regular Fee
EUR 700: Reduced Fee
Reduced Fee applies to PhD/Masters students, including Barcelona GSE students and Alumni.
Multiple course selection, groups and partner discounts are available.
EARLY BIRD discount if confirming by April 1, 2018.