Empirical Methods and Applications in Macroeconomics and Finance

ECN430 Empirical Methods and Applications in Macroeconomics and Finance

Spring 2025

Autumn 2024
  • Topics

    In empirical macroeconomics and finance we are investigating dynamic relationships between macroeconomic and financial variables, mostly in dynamic settings. 

    This course will discuss methods for inference and forecasting in dynamic models in macroeconomics and finance, including:

    • time series;
    • trend and cycles;
    • regression with panel data;
    • identification and instrumental variables;
    • estimation and forecasting in dynamic models in macroeconomics and finance;
    • estimation and evaluation of structural economic models;
    • volatility clustering and conditional heteroscedasticity.

    The course will also discuss quantitative methods for characterizing and solving structural models where analytical solutions are difficult to obtain, including: 

    • formulation of the problem;
    • finding numerical solution;
    • evaluating how the solution depends on parameter assumptions.

  • Learning outcome

    This course presents empirical and quantitative methods and discusses applications in macroeconomics and finance. The course gives students a solid basis for practical empirical and quantitative analysis in macroeconomics and finance. The course is especially suitable for students who write on an empirical master thesis in macroeconomics and finance.

    Students work on a practical empirical project, and the result will be presented towards the end of the course.

    Upon completion of the course, the student can…

    Knowledge

    • recognize practical empirical and quantitative methods in modern macroeconomics and finance
    • apply their econometrics knowledge both to analyze and write about quantitative problems

    Skills

    • estimate and evaluate econometric models and analyze empirical questions in macroeconomic and finance;
    • use software to handle data and to do econometric analyses;
    • use software to solve numerical and quantitative problems.

    General competence

    • formulate and answer a research question in macroeconomics and finance;
    • write a term-paper where econometrics and/or quantitative methids are used;
    • presentation of research ideas and the content of their own term-paper.

  • Teaching

    Plenary lectures and practical assignments/lab sessions.

  • Recommended prerequisites

    Basic Econometric knowledge

  • Required prerequisites

    From Fall 2015 the following prerequisites will apply:

    Students taking this course are expected to have knowledge about econometrics similar to that covered in one of the courses BAN430, BUS444, ECN402, ECO403 or FIE401 at NHH. That means: multiple regression analysis, testing and inference, heteroskedasticity and serial correlation, instrumental variables estimation.

  • Compulsory Activity

    Students have submitted practical assignments and registered a term paper topic.

  • Assessment

    The final grade will be based on practical assignments (40%) and portfolio consisting of term paper and presentation and discussion of term paper (60%). The practical assignments, term paper and presentation must be completed in groups of 2-3 students. 

    The topic of the term paper should be decided by the beginning of February, and handed in by the end of March. The assignments are posted throughout the semester (Jan - April).

    The practical assignments and term paper should be written in English.

    The practical assignments must be passed in order to submit the portfolio.

  • Grading Scale

    Grading scale A - F.

  • Computer tools

    Alternative software packages can be used, including R, Stata, Matlab, Python, Jupyter.

  • Literature

    Selected chapters from various textbooks and scientific empirical papers. A full reading list will be announced at the beginning of the course.

Overview

ECTS Credits
7.5
Teaching language
English
Semester

Spring. Offered spring 2025. 

Course responsible

Professor Gernot Doppelhofer, Department of Economics (main course responsible)

Associate Professor Jonna Olsson, Department of Economics

Post Doc Tim Maurer, Department of Economics