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ES22012: Econometrics

[Page last updated: 09 August 2024]

Academic Year: 2024/25
Owning Department/School: Department of Economics
Credits: 10 [equivalent to 20 CATS credits]
Notional Study Hours: 200
Level: Intermediate (FHEQ level 5)
Period:
Academic Year
Assessment Summary: CWPI 50%, EXCB 50%
Assessment Detail:
  • Unseen closed book written exam (EXCB 50%)
  • Coursework (CWPI 50%)
Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Requisites: Before taking this module you must ( take ES12004 OR take MA12012 ) AND ( take ES12005 OR take MA12013 )
Learning Outcomes: At the end of the course unit students should be able to:
* Outline core concepts in regression analysis;
* Explain underlying assumptions made for regression results to be valid;
* Undertake regression analysis using statistical software;
* Interpret regression results using a variety of techniques as applied to cross-sectional and time-series data;
* Appraise the adequacy of regression results and formulate appropriate diagnostic procedures when dealing with data;
* Communicate econometric concepts clearly and effectively;
* Plan, manage and reflect on their own learning and practice


Synopsis: Gain an understanding of cross-section and time series econometric methods, building on your Year 1 learning of statistical hypothesis testing and least-squares regression. Our systematic approach to model building focuses on formulation and estimation of regression functions, interpretation of results and diagnostic tests to judge reliability. Youll develop your statistical concepts knowledge, and analytical and applied software skills during seminars and computer classes.

Content: This course provides thorough background to cross-sectional econometrics and an introduction to time-series econometrics. Cross-sectional topics covered:
  • Ordinary Least Squares Regression, its properties and inference - bivariate and multivariate
  • Non-linear regressions
  • OLS diagnostics and bias
  • Introduction to other estimation methods for cross-sectional data sets
Time series topics covered:
  • Characteristics of time series data
  • Autocovariance and autocorrelation functions
  • Stationary processes
  • Diagnostic testing and model selection
  • Nonstationary processes


    • Course availability:

    ES22012 is Compulsory on the following courses:

    Department of Economics
    • UHES-AFB10 : BSc(Hons) Economics (Year 2)
    • UHES-AFB12 : BSc(Hons) Economics and Mathematics (Year 2)
    • UHES-AKB12 : BSc(Hons) Economics and Mathematics with professional placement (Year 2)
    • UHES-AKB12 : BSc(Hons) Economics and Mathematics with professional placement and study abroad (Year 2)
    • UHES-AKB12 : BSc(Hons) Economics and Mathematics with study abroad (Year 2)
    • UHES-AKB10 : BSc(Hons) Economics with professional placement (Year 2)
    • UHES-AKB10 : BSc(Hons) Economics with professional placement and study abroad (Year 2)
    • UHES-AKB10 : BSc(Hons) Economics with study abroad (Year 2)

    Notes:

    • This unit catalogue is applicable for the 2024/25 academic year only. Students continuing their studies into 2025/26 and beyond should not assume that this unit will be available in future years in the format displayed here for 2024/25.
    • Courses and units are subject to change in accordance with normal University procedures.
    • Availability of units will be subject to constraints such as staff availability, minimum and maximum group sizes, and timetabling factors as well as a student's ability to meet any pre-requisite rules.
    • Find out more about these and other important University terms and conditions here.