Current Teaching

  • Fall 2024
    Advanced Applied Econometrics, PhD
    Sharif University of Technology, GSME, Syllabus

    This course is designed for graduate students interested in the econometric methods used in empirical research. The primary goal is to provide an overview of various empirical methods, emphasizing practical implementation. While I will provide a set of lecture slides, reference books, and background papers are available for those who wish to delve deeper into the specifics of the results.

    This course focuses on conveying my understanding and intuition of empirical methods as practitioners employ them. Rather than delving deeply into formal details, we will concentrate on the intuitive framework that guides these methods. However, we will cover the necessary formal aspects to ensure a solid understanding.

    With a particular emphasis on causal inference and practical application, this course aims to enhance your research design skills. By the end of the course, you will have been exposed to a wide range of empirical methods and will have at least a basic familiarity with their strengths and weaknesses. You will also know where to find additional resources if you choose to employ these methods in your own research. Furthermore, you will develop the ability to critically engage with research papers, focusing on the underlying framework and the “experiment” that drives their causal inferences.

  • Fall 2024
    Econometrics, BSc
    Sharif University of Technology, GSME, Syllabus

    This introductory course for undergraduate students focuses on regression methods for analyzing economic data. Emphasizing practical aspects of statistical analysis, the course covers distinguishing between correlation and causality, estimating econometric models, testing hypotheses, and interpreting regression results. The goal is to help students develop a solid theoretical foundation in introductory-level econometrics, implement estimation techniques, and critically evaluate empirical studies in economics.

Previous Teachings

  • Fall 2021
    Econometrics II (Applied Econometrics), MSc
    Tehran Institute for Advanced Studies (TeIAS)

    The purpose of this course is to expose students to econometric techniques frequently used in applied microeconomic research. One way to think about the course is that it will introduce you to the tools in the toolbox. The course will not go into great depth in regard to any particular applied econometric method, but will instead aim to provide you with enough knowledge about each one to know when, and when not, to use it in your empirical research. With an emphasis on causal inference and application, this course will broaden students’ research design skills with new/extended coverage of econometric methods like regression discontinuity design, instrumental variables, panel methods, difference in difference model, selection models, and error clustering techniques, among other topics.

  • Spring 2021
    Econometrics I, MSc
    Tehran Institute for Advanced Studies (TeIAS)

    Econometrics I is an introductory course for MSc students to introduce the regression methods for analyzing data in economics. This course emphasizes practical aspects of statistical analysis, distinguishing correlation and causality, estimating econometric models, testing the hypotheses, and interpreting the regression results. The goal of this course is to help students develop a solid theoretical background in introductory-level econometrics, implement estimation techniques, and criticize empirical studies in economics.

  • Spring 2021
    Econometrics, BSc
    Sharif University of Technology, GSME

    This introductory course for undergraduate students focuses on regression methods for analyzing economic data. Emphasizing practical aspects of statistical analysis, the course covers distinguishing between correlation and causality, estimating econometric models, testing hypotheses, and interpreting regression results. The goal is to help students develop a solid theoretical foundation in introductory-level econometrics, implement estimation techniques, and critically evaluate empirical studies in economics.

  • Spring 2020
    Econometrics, BSc
    Sharif University of Technology

    Econometrics for minor students is an introductory course for undergraduate students to introduce regression methods for analyzing data in economics. This course emphasizes practical aspects of statistical analysis, distinguishing correlation and causality, estimating econometric models, testing the hypotheses, and interpreting the regression results. The goal of this course is to help students develop a solid theoretical background in introductory-level econometrics, implement estimation techniques, and criticize empirical studies in economics.