ADVANCED ECONOMETRICS 2 - 2022/3
Module code: ECOM066
Module Overview
The module builds up over the material covered in Advanced Econometrics 1. When the correct functional form is unknown one relies on nonparametric techniques, such as kernel techniques. This module involves the advanced study of the asymptotic properties as well as the practical implementation of nonparametric regression. This is followed by an overview of the main tools used in Time Series Analysis, which provides the basis for the analysis of macroeconomic and financial series. Finally, the module also provides the statistical tools used in Microeconometrics. Binary Choice Models, in the standard case and in the presence of endogeneity. Also to limited dependent variables, with special focus on Tobit models and sample selection.The module concludes with the study of panel data, including the most recent developments such as nonlinear panel models and endogenous attrition.
Module provider
Economics
Module Leader
CORRADI Valentina (Economics)
Number of Credits: 15
ECTS Credits: 7.5
Framework: FHEQ Level 7
Module cap (Maximum number of students): N/A
Overall student workload
Workshop Hours: 11
Independent Learning Hours: 117
Lecture Hours: 22
Module Availability
Semester 2
Prerequisites / Co-requisites
N/A
Module content
Indicative content includes:
• Nonparametric Estimators
• Density Estimation: Bias and Variance
• Consistency of Conditional Mean Estimators
• Asymptotic Normality and Rates of Convergence
• Issues in Implementing Nonparametric Regression
• Binary Choice Models
• Probit and Logit
• Endogeneity
• Limited Dependent Variables
• Tobit Models
• Sample Selection
• Treatment Effect
• Forecast Evaluation
• Panel Data Models
• Nonlinear Panel Models
• Unbalanced Panel
• Missing Not at Random
Assessment pattern
Assessment type | Unit of assessment | Weighting |
---|---|---|
Coursework | Coursework (take-home) | 30 |
Examination | Final Examination | 70 |
Alternative Assessment
None.
Assessment Strategy
The assessment strategy is designed to provide students with the opportunity to demonstrate their technical skills relating to the use of econometrics techniques to do innovative empirical work.
Thus, the summative assessment for this module consists of:
Take-home coursework and a final examination
Formative assessment
Discussions during and outside lectures. Feedback Student will receive verbal feedback during the lectures and tutorials through direct interaction, as well more formally following coursework submission.
Module aims
- • provide the advanced tools required to become competent and creative users of econometrics.
- • enable students to combine existing tools so as to find novel ways of solving econometrics problems.
- • enable students to undertake independent research in econometrics
Learning outcomes
Attributes Developed | ||
001 | Understand and interpret in a critical way paoers on top econometric and statistical journal | CK |
002 | Evaluate the accuracy of competing models | CKT |
003 | Understand the basic tool for policy evaluation | CKT |
Attributes Developed
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
Methods of Teaching / Learning
The learning and teaching strategy is designed to: develop student independent research skills, by training them to do critical analysis of papers in scientific journals. Problems set will assigned to ensure all concepts and methods are properly mastered.
The learning and teaching methods include:
• Interactive lectures. Review of problem sets solution
Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.
Reading list
https://readinglists.surrey.ac.uk
Upon accessing the reading list, please search for the module using the module code: ECOM066
Other information
Sustainability
The module content focuses on contemporary environmental problems like climate change, sustainable development, and related policies
Global Capabilities
The module draws examples of environmental and energy and policies from a variety of countries, compares them and discusses the interaction of economics, social and behavioral factors influencing sustainable growth or investment decisions in energy markets.
Employability
The coursework mimics professional scenarios when students like analysts are required to use their critical thinking ability, do substantial research, and evaluate a particular topic
Resourcefulness and Resilience
The assessment and teaching methods allow students to develop their understanding and skills throughout the module, where solving problem sets and doing independent research for coursework allows them to self-evaluate their understanding and performance with the option of reviewing and improving through the feedback process. "
Programmes this module appears in
Programme | Semester | Classification | Qualifying conditions |
---|---|---|---|
Economics MRes | 2 | Compulsory | A weighted aggregate mark of 50% is required to pass the module |
Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2022/3 academic year.