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    Advanced time-series and nonstationary panel econometric techniques.

    This paper examines aspects of time-series and nonstationary panel data econometrics that have become widely used in the estimation and testing of macroeconomic relationships in recent years. The objective of the paper is to develop an understanding of the econometric analysis of non-stationary data and the cointegration literature. At the end of the paper students should be able to interpret and critically evaluate applied time-series and panel time-series econometric studies in the literature, and to apply macroeconometric methods, using appropriate computer software, to relevant data in practice and interpret the results obtained.

    About this paper

    Paper title Macroeconometrics
    Subject Economics
    EFTS 0.1667
    Points 20 points
    Teaching period Semester 1 (On campus)
    Domestic Tuition Fees ( NZD ) $1,196.41
    International Tuition Fees Tuition Fees for international students are elsewhere on this website.
    ECON 375
    ECON 490, ECON 495
    Teaching staff
    Professor Dorian Owen

    Reading will consist primarily of journal articles, but recommended texts include:

    K. Patterson, An Introduction to Applied Econometrics: A Time Series Approach, Macmillan, 2000.

    B.H. Baltagi, Econometric Analysis of Panel Data (4th ed.), John Wiley, 2008.

    D.F. Hendry and J.A. Doornik, Empirical Model Discovery and Theory Evaluation: Automatic Selection Methods in Econometrics, MIT Press, 2014.

    M. Soderbom, F. Teal, M. Eberhardt, S. Quinn and A. Zeitlin, Empirical Development Economics, Routledge, 2015.

    J.L. Castle and D.F. Hendry, Modelling Our Changing World, Palgrave Macmillan, 2019.

    Course outline

    View the course outline for ECON 412

    Graduate Attributes Emphasised
    Scholarship, Communication, Critical thinking, Information literacy, Research.
    View more information about Otago's graduate attributes.
    Learning Outcomes

    Students who successfully complete this paper should be able to:

    1. Demonstrate an understanding of contemporary econometric methods used in time-series and panel time-series data analysis in macroeconomic contexts and critically assess their use in applications to economic problems
    2. Apply macroeconometric methods, using appropriate computer software, to relevant data in practice and interpret the results obtained
    3. Explain the relevant estimation and testing methods and interpretation of results using written English and Mathematics, as appropriate


    Semester 1

    Teaching method
    This paper is taught On Campus
    Learning management system


    Stream Days Times Weeks
    L1 Tuesday 12:00-12:50 9-13, 15-22
    Wednesday 14:00-15:50 9-13, 15-22
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