Econometrics

Cod y Modiwl: AB23420
Teitl y Modiwl: Econometrics
Blwyddyn Academaidd: 2027/2028
Semester: Semester 2
Cyd-gysylltydd y Modiwl: Dr Shafiul Azam
Rhestr Ddarllen: Gweld ar Aspire
Rhagofynion: AB15220
Staff Eraill sy'n Cyfrannu: Dr Maria Plotnikova; Professor Homagni Choudhury; Dr Shafiul Azam

Dulliau Asesu

Math o Asesiad	Manylion Asesiad	Cyfran
Asesiad Semester	Class based unseen test.: 1 Awr	10%
Asesiad Semester	Group based coursework project: (1,000 words per person).	20%
Arholiad Semester	3 Awr	70%
Asesiad Ailsefyll	(Students must take elements of assessment equivalent to those that led to failure of the module.)	30%
Arholiad Ailsefyll	3 Awr (Students must take elements of assessment equivalent to those that led to failure of the module.)	70%

Canlyniadau Dysgu

Wedi cwblhau'r modiwl dylai'r myfyrwyr fedru:

1. Demonstrate familiarity with and an appreciation of the need for statistical foundations behind regression analysis.
2. Estimate regression models using a statistical package, and interpret and critically evaluate the results of a regression analysis.
3. Apply and interpret key diagnostic tests.
4. Describe remedies for problems associated with the violation of assumptions underlying the linear regression model.
5. Critically assess the policy implications of econometric models in a range of contexts.

Disgrifiad cryno

This module introduces essential quantitative tools used in economic research to analyze economic data and model economic phenomena. The module presents a detailed and in-depth treatment of the method of ordinary least squares (OLS) used in estimating quantitative relationship between economic variables, the assumptions behind the appropriate use of OLS, the implications of the violation of such assumptions and the remedial measures.

Cynnwys

• Introduction to econometrics
• Primer to regression analysis
• Ordinary Least Squares estimation
• Two-variable and multiple regression models
• Hypothesis testing
• Regression models using qualitative data
• Violation of the assumptions:
- Multicollinearity
- Heteroscedasticity
- Autocorrelation
- Non-Normality

Sgiliau Modiwl

Math o Sgiliau	Manylion Sgiliau
Cyfathrebu	Development of oral and written communication including data response.
Datblygu personol a chynllunio gyrfa	Development of quantitative analytical skills useful in a wide range of professions and in further study.
Datrys Problemau	Identifying the problem to be solved Finding pertinent data in order to solve the problem. Application of appropriate methods and statistical tools for solving the problem Understanding and interpretation of results.
Gwaith Tim	Team working skills through self-study working groups.
Gwella dysgu a pherfformiad ei hun	Development of quantitative analytical skills instrumental for learning in other modules.
Rhifedd	Development of quantitative (mathematical, statistical, econometric) skills.
Sgiliau pwnc penodol	Use of statistical computer software to assess economic performance. Economic and policy analysis (in other subject areas of economics).
Sgiliau ymchwil	Basic Research Skills pertaining to operationalization of economic theory into testable propositions. Testing these propositions using appropriate data and statistical techniques Analysis of economic data.
Technoleg Gwybodaeth	Use of statistical (computer) software for data and regression analysis.

Nodau

Mae'r modiwl hwn yn cydymffurfio a FfCChC Lefel 5