Rhedir gan Bangor Business School
20.000 Credyd neu 10.000 Credyd ECTS
Trefnydd: Mr Alessio Reghezza
This module will develop students’ ability and confidence in working with data and applying their understanding of economic theory to real world problems. The main aims are to encourage students to use data to investigate a wide range of economic topics, to equip students with practical empirical skills to be used to analyse economic data as well as to provide student with the confidence to find and consult with the relevant academic articles in the field of economics.
The module is divided in lectures and a practical econometric workshops. Economic theory lectures will cover topics like: education, unemployment and wages, market failure and externalities, economic growth and monetary policy (they may be subject to change depending upon real-world events). In practical econometric workshops, the students will lean how to organize and manipulate data, software programming, sourcing and data visualization. The students will also apply a variety of regression techniques such as: linear, limited dependent variables, panel data and multi-stage regression.
C- i C+
C- to C+ (50-59%): Much of the relevant information and skills mostly accurately deployed. Adequate grasp of theoretical/conceptual/practical elements. Fair integration of theory/practice/information in the pursuit of the assessed work's objectives. Some evidence of the use of creative and reflective skills.
D- to D+ (40-49%): No major omissions or inaccuracies in the deployment of information/skills. Some grasp of theoretical/conceptual/practical elements. Integration of theory/practice/information present intermittently in pursuit of the assessed work's objectives.
A- to A+ (70%+): Outstanding Performance. The relevant information accurately deployed. Excellent grasp of theoretical/conceptual/practice elements. Good integration of theory/practice/information in pursuit of the assessed work's objectives. Strong evidence of the use of creative and reflective skills.
B- to B+ (60-69%): Very good performance Most of the relevant information accurately deployed. Good grasp of theoretical/conceptual/practical elements. Good integration of theory/practice/information in pursuit of the assessed work's objectives. Evidence of the use of creative and reflective skills.
Analyse the outputs of econometric software packages.
Select and apply appropriate quantitative techniques, based on the characteristics of the data and the nature of the research question under scrutiny.
Understand and interpret the statistical significance of econometric results from literature, and understand their real-world significance.
Demonstrate the ability to source, organise and appropriately manipulate economic data.
Understand appropriate theory for analysing a range of applied economic topics.
|Applied Project 1||100.00|
Strategaeth addysgu a dysgu
Workshops focus on practical and applied skills in econometrics. Students will have the opportunity to use datasets to practice methodologies, and test theory and ideas which have been learned in lectures.
2 in-class hours per week. Lectures focus on core economic theory and econometric methodologies.
Individual study of issues of econometric theory and methodology, reading academic papers and texts. Students will also be expected to practice statistical software techniques between classes.
- Llythrennedd - Medrusrwydd mewn darllen ac ysgrifennu drwy amrywiaeth o gyfryngau
- Rhifedd - Medrusrwydd wrth ddefnyddio rhifau ar lefelau priodol o gywirdeb
- Defnyddio cyfrifiaduron - Medrusrwydd wrth ddefnyddio ystod o feddalwedd cyfrifiadurol
- Hunanreolaeth - Gallu gweithio mewn ffordd effeithlon, prydlon a threfnus. Gallu edrych ar ganlyniadau tasgau a digwyddiadau, a barnu lefelau o ansawdd a phwysigrwydd
- Archwilio - Gallu ymchwilio ac ystyried dewisiadau eraill
- Adalw gwybodaeth - Gallu mynd at wahanol ac amrywiol ffynonellau gwybodaeth
- Dadansoddi Beirniadol & Datrys Problem - Gallu dadelfennu a dadansoddi problemau neu sefyllfaoedd cymhleth. Gallu canfod atebion i broblemau drwy ddadansoddiadau ac archwilio posibiliadau
Sgiliau pwnc penodol
- Abstraction. From the study of economic principles and models, students see how one can abstract the essential features of complex systems and provide a useable framework for evaluation and assessment of the effects of policy or other exogenous events. Through this, the typical student will acquire proficiency in how to simplify while still retaining relevance. This is an approach that they can then apply in other contexts, thereby becoming more effective problem-solvers and decision-makers.
- Analysis, deduction and induction. Economic reasoning is highly deductive, and logical analysis is applied to assumption-based models. However, inductive reasoning is also important. The development of such analytical skills enhances students' problem-solving and decision-making ability.
- Quantification and design. Data, and their effective organisation, presentation and analysis, are important in economics. The typical student will have some familiarity with the principal sources of economic information and data relevant to industry, commerce, society and government, and have had practice in organising it and presenting it informatively. This skill is important at all stages in the decision-making process.
- Framing. Through the study of economics, a student should learn how to decide what should be taken as given or fixed for the purposes of setting up and solving a problem, i.e. what the important 'parameters' are in constraining the solution to the problem. Learning to think about how and why these parameters might change encourages a student to place the economic problem in its broader social and political context. This 'framing' skill is important in determining the decision-maker's ability to implement the solutions to problems.
- Problem solving and critical analysis: analysing facts and circumstances to determine the cause of a problem and identifying and selecting appropriate solutions.
- Research: the ability to analyse and evaluate a range of business data, sources of information and appropriate methodologies, which includes the need for strong digital literacy, and to use that research for evidence-based decision-making.
- Numeracy: the use of quantitative skills to manipulate data, evaluate, estimate and model business problems, functions and phenomena.
- Articulating and effectively explaining information.
Rhagofynion a Chydofynion
Cyrsiau sy’n cynnwys y modiwl hwn
Gorfodol mewn cyrsiau:
- NL41: BSc Accounting and Economics year 3 (BSC/ACCEC)
- NL4B: BSc Accounting and Economics (4 year with Incorp Foundation) year 3 (BSC/ACCEC1)
- NL4F: BSc Accounting and Economics year 3 (BSC/ACCECF)
- NL42: BSc Accounting and Economics with International Experience year 4 (BSC/AEIE)
- L190: BSc Business Economics year 3 (BSC/BEC)
- L19B: BSc Business Economics (4 year with Incorporated Foundation) year 3 (BSC/BEC1)
- L19F: BSc Business and Economics year 3 (BSC/BECF)
- L191: BSc Business Economics with International Experience year 3 (BSC/BECIE)
- L19P: BSc Business Economics with Placement Year year 4 (BSC/BECP)
- L192: BSc Business Economics (Bangor International College) year 3 (BSC/BICBE)
- L193: BSc Financial Economics (Bangor International College) year 3 (BSC/BICFE)
- L111: BSc Financial Economics year 3 (BSC/FINEC)
- L11B: BSc Financial Economics (4 year w Incorporated Foundation) year 3 (BSC/FINEC1)
- L11F: BSc Financial Economics year 3 (BSC/FINECF)
Opsiynol mewn cyrsiau:
- N107: BA Business year 3 (BA/BUS)
- L1T1: BA Economics and Chinese year 4 (BA/ECCH)
- LR13: BA Economics/Italian year 4 (BA/ECIT)
- LL13: BA Sociology/Economics year 3 (BA/ECS)
- LL2B: BA Sociology & Economics (4 yr with Incorporated Foundation) year 3 (BA/ECS1)
- LR14: BA Economics/Spanish year 4 (BA/ECSP)
- LR11: BA French/Economics year 4 (BA/FREC)
- LR12: BA German/Economics year 4 (BA/GEC)
- LV11: BA History/Economics year 3 (BA/HEC)
- LL14: BA Social Policy/Economics year 3 (BA/SPEC)
- LL1B: BA Social Policy & Economics (4yr with Incorp Foundation) year 3 (BA/SPEC1)
- N109: BSc Bus Analytics w Financial Tech year 3 (BSC/BAFT)