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    ECON A833F
    Applied Statistics and Econometrics
    ECON A833F
    Applied Statistics and Econometrics
    Course Start Date
    Aut 2019
    Course Level
    Postgraduate
    Length in Terms
    1 term
    Credits
    5
    Language
    English
    Fees ($) (including lab fees)
    N/A
    Future Terms
    Course
    Start Date
    Course Level Length in Terms Credits
    Language
    Fees ($)
    (including lab fees)
    Future Terms
    Aut 2019
    Postgraduate 1 term 5
    English
    N/A

    Course Coordinator: Dr Michael Ng, BBA (HKUST); MEcon, Mstat (HKU); MSc (London); PhD (Leicester)

    Important notes

    This course will be taught via face-to-face mode. Lectures will be scheduled on weekday evenings. This is a core course for the Master of Social Sciences in International Economics and Development. The course discusses and evaluates different testing techniques for statistical hypotheses. It also identifies the significance of key assumptions used in regression models, and explain the relationship between those assumptions and properties of estimators. The course discusses the application of regression models in the analysis of business and economic data, including cases in which data are not quantifiable, examine more advanced model building techniques such as the simultaneous equation system and logit model, and analyse model accuracy.

    Aims
    This course deals with quantitative model building and statistical skills which students will find useful in economics, marketing, risk management, and investment. It aims to teach students how to use statistical techniques to estimate and test hypotheses in business and economics. Students will learn how to create a statement of theory or a hypothesis, how to collect data, and how to specify economic and business models. Students will also learn how to estimate the parameters of their chosen forecasting model, check for model adequacy, and test the hypotheses derived from the model. The emphasis is on the application of econometric methods to the analysis of real world economic data using advanced statistical software.

    Contents

    • An overview of regression analysis and ordinary least squares

    • Learning to use regression analysis and running a regression project

    • The classical model and hypothesis testing

    • Specification: Choosing the Independent Variables

    • Specification: Choosing a Functional Form

    • Multicollinearity

    • Serial Correlation

    • Heteroskedasticity

    • Dummy dependent variable techniques

    • Simultaneous equations

    • Selected topics in econometrics methodology

    Contact hours
    Normally three hours per week.

    Assessment
    There will be one assignment, one midterm test and one term paper which are worth 15%, 15% and 10% of the course score respectively. The final examination will account for the remaining 60% of the total course score.

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