221.644.01 | AY 2013-2014 - 4th Term | 4 Credit(s)
TTh 3:30:00 PM
  • Contact Information
    Antonio Trujillo
  • Course Learning Objectives

    Upon successfully completing this course, students will be able to:

    • apply methodological principles and statistical concepts as they relate to the field of program evaluation
    • conduct econometric analyses of observational data in order to reach conclusions relevant for decision-making processes in international settings
    • use computer packages to conduct empirical research in impact evaluation
  • Course Description
    Introduces students to the application of common econometric methods available to address questions of concern to policy makers, administrators, managers, and program participants regarding evaluation of health programs in low and middle-income countries. Students learn to apply econometric methods in their research and to recognize the limitations in applying the same methods in estimating the impact of a policy intervention. Combines a theoretical development of methods and a numerical application involving continuous dependent variables. Emphasizes the correct use of data in framing relevant questions and understanding the importance as well as the limitations of data analysis in order to equip students with the quantitative skills necessary to evaluate policy alternatives.

    Additional Faculty Notes:

    The course includes class lectures and lab activities. Every week, we will have one day of lecture, and one day of lab. The second part of each lecture will follow a seminar format. In this section, we will discuss a published paper that uses the technique covered in class. Students are expected to complete all reading assignments before class as they may be called upon to review the material. Students will use laptops equipped with STATA during class. 

    The course evaluation is based on 8 assignments and a final exam. 
  • Intended Audience
    Doctoral and masters students interested in econometric evaluation
  • Methods of Assessment
    80% Assignments 20% Final Exam

    Additional Faculty Notes:

    80% Assignments

    20% Final Exam

  • Prerequisites
    140.623 or 140.653
  • Required Text(s)

    Additional Faculty Notes:

    1. Angrist, J., J. Pischke. (2008). Mostly Harmless Econometrics. Princeton University Press.
    2. Firebaugh, G (2008).  Seven Rules for Social Research.  Princeton University Press.
    3. Gertler, P (2010). Impact Evaluation in Practice. World Bank Publications.  
    4. Kennedy, P (1998).  A Guide to Econometrics.  Fourth edition.  MIT Press:  Cambridge, MA.
    5. Wooldridge J.M. (2003). Introductory Econometrics.  A modern Approach.  Second Edition.  Thomson, South-Western.
  • Course Schedule

    Please see the course Session for a full list of dates and items for this course.

  • Academic Ethics Code

    Students enrolled in the Bloomberg School of Public Health of The Johns Hopkins University assume an obligation to conduct themselves in a manner appropriate to the University's mission as an institution of higher education. A student is obligated to refrain from acts which he or she knows, or under the circumstances has reason to know, impair the academic integrity of the University. Violations of academic integrity include, but are not limited to: cheating; plagiarism; knowingly furnishing false information to any agent of the University for inclusion in the academic record; violation of the rights and welfare of animal or human subjects in research; and misconduct as a member of either School or University committees or recognized groups or organizations.

  • Course topics

    1. Multiple regression analysis and its main assumptions, regression discontinuity analysis and IV estimation.

    2. Two-part models and difference-in-difference models

    3. Models based on Panel data: fixed effect models, random effect models, and quantile regression

  • Disability Support Services
    If you are a student with a documented disability who requires an academic accommodation, please contact the Office of Student Life Services at 410-955-3034 or via email at