代做ECON0040: Behavioural Economics 2023-24代做Processing

ECON0040: Behavioural Economics

2023-24

ECON0040: WRITTEN ASSIGNMENT

DEADLINE: MONDAY MARCH 25TH, 2024, 12:00 NOON (LONDON TIME).

For this assignment, you will write a paper that can be convertible into a Blogpost on Behavioural Economics. You will need to pick a topic such as:

•   Answering a policy question using Behavioural Economics concepts (at least 3).

•   Explaining a real-world/empirical phenomenon by using several Behavioural Economics concepts (at least 3).

•   Choose a few behavioural concepts that are interconnected and show at least 3 real- world/empirical examples and implications.

As indicated in the syllabus, this assignment is worth 30% of the final mark of this module. All  paper submissions (in PDF) should be made using the relevant submission link on the ECON0040 Moodle page. You will be notified once the links are available.

Please note that you will get overall feedback on research questions and an extended abstract of your research. In order to make the most of this opportunity, you will need to submit your research question and your extended abstract in week 7. We will remind you closer to the date. Also, grading examples will be discussed during tutorial 3, and afterwards the guideline will be uploaded in the Assessment

section.

Please note that the word limit for the final submission is 1250-2000 words (not including tables,

graphs, mathematical formulae, data tables, and references). You must state your word count on the cover page of your submission.

Penalties for going beyond the word limit

If your submission exceeds the 2000-word limit, Faculty Penalties will apply as follows.

•    For work that exceeds the specified maximum length by less than 10%, the mark for the

question will be reduced by five percentage marks but the penalised mark will not be reduced below the passmark, assuming the work merited a Pass.

•    For work that exceeds the specified maximum length by 10% or more, the mark for the

question will be reduced by ten percentage marks but the penalised mark will not be reduced below the passmark, assuming the work merited a Pass.

Penalties for late submission

If you have a disability or long-term medical condition, you maybe entitled to adjustments for

assessments. Please see Section 5of the Academic Manual for information on how to apply for

adjustments. Note that the application must be made well in advance of the assessment. The students with SORA are entitled for one-week extension. Please check the Academic Manual for further

information (Student Regulations for Exams and Assessments 2022-23).

If there is at least one member in your group with SORA, your group is entitled to the extension.

The groups with multiple students with SORA also have one-week extension. All groups that include students with SORA should submit their work on the same submission link. So there won’tbe any separate link for SORA students.

If you submit your work after the deadline and do not have a permitted extension due to a SORA or

Extenuating Circumstance, your work will be subject to late penalties as set out in UCL’s Academic

Manual (Section 3.12 -https://www.ucl.ac.uk/academic-manual/chapters/chapter-4-assessment-framework-taught-programmes/section-3-module-assessment#3.9). These penalties will not be applied in the provisional marks but will be applied later by the Departmental Tutor, Dr Frank Witte, as appropriate. All markings will be merit-based without any consideration of late submissions.

Assessment irregularities including plagiarism

The Economics Department follows UCL’s guidance on academic assessment irregularities, as set out in    Chapter     6    (Section     9)    of    the     Academic    Manual:    https://www.ucl.ac.uk/academic- manual/chapters/chapter-6-student-casework-framework/section-9-student-academic-misconduct-procedure. If an issue arises with your submitted work during marking, the Chair of the Exam Board will be notified immediately and you will be informed of any steps that are going to be taken, in line with the UCL procedures. This can include an adjustment to your provisional marks or more serious penalties.  It  can  also  include  asking  you  to  attend  an  oral  alternative  assessment  to  check your understanding of the course materials relevant to the assessment. All students should make themselves familiar with what is considered a breach of assessment regulations and what the potential penalties are. You     can     find     a     student-facing      guide     here:    https://www.ucl.ac.uk/students/exams-and- assessments/plagiarism.

Usage of AI tools

AI tools cannot be used in this assessment. If an issue related to usage of AI arises with your submitted work during marking, the standard academic misconduct procedure will be followed.

Failure to submit or submission of work that is not considered a reasonable effort

You will be awarded a mark of 0% in any assessment component where you: (1) are absent from the summative assessment component or, (2) do not attempt the summative assessment component or, (3) attempt so little of the summative assessment component that it cannot be assessed. Please check the UCL Academic Manual (Section 3.11) for information on the consequences for not submitting or engaging with any of your assessment components.

If you have extenuating circumstances that affect your ability to engage with any of the module assessment components within the required deadlines, please apply for alternative arrangements to your home department as soon as possible.

Submissions

All work must be submitted anonymously. Do not put any name on any filename or inside any

document. Only use your Candidate Number in your submission. Do not use your student number in your submission. The marking will be anonymous for the assignment.

a.   This is a group project with maximum 3 members per group. Please elect one group member to submit the project for the group.

b.   Submit the project with the submission cover sheet on the first page. Put the candidate numbers for all group members on the submission coversheet. The cover sheet will be  provided on the Moodle page closer to the deadline.

c.   You can find your Candidate Number (SCN) in your PORTICO account, under “My Studies” then the “Examinations” container.

d.  Note that the Candidate Number is NOT the same as your student number, which is printed on your UCL ID card. Submitting with your Student Number will delay marking and when your   results will be available.

e.   When you upload your file on the submissions page, set the title of your submission as your group number followed by an underscore (i.e. ‘_ ’), followed by your word count, e.g.

Group1_1700words.

INSTRUCTIONS FOR THE WRITTEN ASSIGNMENT

Pick a topic such as:

•   Answering a policy question using Behavioural Economics concepts (at least 3).

•   Explaining a real-world/empirical phenomenon by using several Behavioural Economics concepts (at least 3).

•   Choose a few behavioural concepts that are interconnected and show at least 3 real- world/empirical examples and implications.

Websites that are useful to check out good blog articles on behavioural economics are:

•   https://www.bi.team/

•   https://www.behavioraleconomics.com/

•   https://inudgeyou.com/en/frontpage/

•   https://behavioralscientist.org/

Research question

Based on your choice of topic, you will set a research question and decide which concepts you will use to explain your question.

Your essay

You should submit an essay that includes the following:

•   Introduction: Explain the context of the research, motivate your research and discuss why the research question is important and relevant.

•   Concept 1-3+:

o Explain each concept and review existing research that is relevant to that concept and your main topic. Please use articles other than the ones covered in this module. The    articles should be via reliable sources (i.e. peer-reviewed journals, reliable working-   paper series such as NBER, policy papers).

o Discuss the findings of the articles you found.

o Use data visualization (e.g. charts, tables) as appropriate and cite the source.

o Discuss the solutions and limitations (if appropriate).

•   Conclusion: Draw your main conclusion.

•   References: See the UCL guideon how to cite your references properly. Harvard style is the recommended citation style.

Note that although this is a written assignment that is convertible to a blogpost, please follow academic writing rules.




热门主题

课程名

mktg2509 csci 2600 38170 lng302 csse3010 phas3226 77938 arch1162 engn4536/engn6536 acx5903 comp151101 phl245 cse12 comp9312 stat3016/6016 phas0038 comp2140 6qqmb312 xjco3011 rest0005 ematm0051 5qqmn219 lubs5062m eee8155 cege0100 eap033 artd1109 mat246 etc3430 ecmm462 mis102 inft6800 ddes9903 comp6521 comp9517 comp3331/9331 comp4337 comp6008 comp9414 bu.231.790.81 man00150m csb352h math1041 eengm4100 isys1002 08 6057cem mktg3504 mthm036 mtrx1701 mth3241 eeee3086 cmp-7038b cmp-7000a ints4010 econ2151 infs5710 fins5516 fin3309 fins5510 gsoe9340 math2007 math2036 soee5010 mark3088 infs3605 elec9714 comp2271 ma214 comp2211 infs3604 600426 sit254 acct3091 bbt405 msin0116 com107/com113 mark5826 sit120 comp9021 eco2101 eeen40700 cs253 ece3114 ecmm447 chns3000 math377 itd102 comp9444 comp(2041|9044) econ0060 econ7230 mgt001371 ecs-323 cs6250 mgdi60012 mdia2012 comm221001 comm5000 ma1008 engl642 econ241 com333 math367 mis201 nbs-7041x meek16104 econ2003 comm1190 mbas902 comp-1027 dpst1091 comp7315 eppd1033 m06 ee3025 msci231 bb113/bbs1063 fc709 comp3425 comp9417 econ42915 cb9101 math1102e chme0017 fc307 mkt60104 5522usst litr1-uc6201.200 ee1102 cosc2803 math39512 omp9727 int2067/int5051 bsb151 mgt253 fc021 babs2202 mis2002s phya21 18-213 cege0012 mdia1002 math38032 mech5125 07 cisc102 mgx3110 cs240 11175 fin3020s eco3420 ictten622 comp9727 cpt111 de114102d mgm320h5s bafi1019 math21112 efim20036 mn-3503 fins5568 110.807 bcpm000028 info6030 bma0092 bcpm0054 math20212 ce335 cs365 cenv6141 ftec5580 math2010 ec3450 comm1170 ecmt1010 csci-ua.0480-003 econ12-200 ib3960 ectb60h3f cs247—assignment tk3163 ics3u ib3j80 comp20008 comp9334 eppd1063 acct2343 cct109 isys1055/3412 math350-real math2014 eec180 stat141b econ2101 msinm014/msing014/msing014b fit2004 comp643 bu1002 cm2030
联系我们
EMail: 99515681@qq.com
QQ: 99515681
留学生作业帮-留学生的知心伴侣!
工作时间:08:00-21:00
python代写
微信客服:codinghelp
站长地图