ECON5094 Applied Microeconomics

ECON5094

Topics in Applied Microeconomics Assessment

1. You are required to present two papers of your choice, and for one of these papers write an extended referee report.

2. Each presentation has weight of 15% (30% total) of the final grade, with the written report weighted as 70% of the final grade.

3. The first presentation must be on a topic covered in the first half of the course; the

second presentation must be on a topic covered in the second half. You should pick one of these for your written assignment.

4. To make sure your plan is feasible, you are encouraged to discuss your choice of the papers with the lecturers.

5. Try to choose papers on which you feel you are reasonably qualified to provide a critical assessment.

Deadlines

Presentation 1 - Oral presentation of academic paper in week 4/5 - during the lecture slot. Slides of your presentation should be submitted on Moodle by October 23, 2024, 12.00.

Presentation 2 - Oral presentation of academic paper in week 9/10 - during the lecture slot. Slides of your presentation should be submitted on Moodle by November 27, 2024, 12.00.

Written report is due on January 28, 2025, 12.00.

Guidelines on presenting an academic paper

You should consider the presentation as an opportunity to obtain useful feedback from the lecturer and peers to guide your written report. You will be allocated a maximum of 15 minutes for the presentation. Note with this time limit it will not be possible to present all the findings in the paper, and it is therefore important to be selective as 代写ECON5094  Applied Microeconomics  to which information you include in the presentation. For Presentation 1 you should choose an empirical paper that estimates a parameter of interest in behavioural economics. For presentation 2 you should choose an empirical paper which estimates the “causal” effect of a variable on an outcome using microeconomic data.

Below are some points that your presentation should contain:

•    Motivation/background – what is the research question? Why is it

important/interesting? (You might want to include why you chose this paper)

•    How is this paper situated in the related literature?

•   What do the authors do (e.g. what is the theoretical/empirical approach, the data used (if applicable))

•   What are the main findings of the paper? Is the robustness of these findings explored – if so, how?

•   What are the strengths and the limitations of the paper?

•    How might you extend the work of the authors?

You should compile a set of slides to accompany your talk, which you should submit in the assessment area on Moodle. Be prepared to receive and discuss questions from the audience – however it is your responsibility to ensure that you have finished your presentation in the allotted time.

Guidelines on writing an extended referee report

Below are some general points a referee report comprises. You are welcome to expand this list as you see fit and add other points to your report. Consider this as a minimal list.

•   A summary of the paper and the main results. You can consider the following questions for this part.

o What is the research question?

o What is the model/setting?

o What are the main findings of the paper? How do the authors get there? With experiments? Theory? Empirical analysis? A combination of these?

•   The paper’s core contribution.

o Give your opinion on the level of interest and novelty of the work

o Is the research important? Do the authors explain why it is important or how it advances our understanding of the field?

o Is the work original? Does it contain new material?

o Is this only an incremental advance over previous work?

•   The strengths and weaknesses of the paper

o Is the method they used appropriate for the research question? Do you think they could have used another method instead of or in addition to the one

they used? Why?

o Does the conclusion summarize what has been learned and why it is interesting and useful?

o What are the limitations of the paper? These could be data, identification strategy, research design/experimental design. Are the results generalisable?

•   Suggestions for improvement/Directions for further research

o Any changes that you feel should be made in the paper?

More specific guidelines:

•   Your extended referee report should include, at a minimum, a critical overview of

the original paper, one table of replicated results with commentary on any differences between your replicated results and the results presented in the article, the rationale behind your chosen extension, one table of extended analysis and a critical discussion on whether your extended analysis supports or contradicts the original findings.

•    For reports on a paper from the first half of the course - you should clearly state what the departure from the theory is, based on the rational individual paradigm.

For reports on a paper from the second half of the course you should discuss the identification strategy used in the analysis.

•    Replicate what you believe are the main results of the paper. And, if your replication leads to different estimates or standard errors than in the published article, try to find out why.

•    Extend the analysis of the article in one way. For example:

•    For papers estimating a parameter of interest in behavioural economics:

o If feasible provide a detailed analysis with an alternative explanation of

the bias observed and show the validity of this new explanation (i.e. the   results hold only for a particular subgroup, is (not) robust to the inclusion of another variable, add an interacted term, etc.).

o Otherwise, you can suggest a new way of testing this or alternative

explanations. What methods will be used? If primary data analysis you should describe the experiment, you propose to undertake in detail. If secondary data analysis you should describe the data required to undertake the research and the econometric methodology

•    For papers estimating a causal effect:

o Perform. a sub-analysis that is not presented in the article (e.g. gender, ethnicity, time-period etc)

o Perform. a robustness check not considered in the article (e.g. are the

estimates robust to the inclusion (or omission) of subsets of control variables or different trend polynomials).

o Perform. the analysis using a different identification strategy/estimation method than that used in the article.

•   You should create formatted tables/graphs of your output to be included in your referee report.

•   You are advised to choose an article where the authors have either made their data available, or where the article contains sufficient detail to allow you to reconstruct   the dataset yourself.

•   You can also use the codes (i.e. the Stata do file) created by the author of the paper.

•    Most of the best economic journals have a section of their website dedicated to

storing data of published articles. For example, check the American Economic

Association (AER, AEJ), Quarterly Journal of Economics, Econometrica, Journal of

Political Economy, Review of Economic Studies, among other. Often the data is made available as “supplementary materials” .

【无人机】基于改进粒子群算法的无人机路径规划研究[和遗传算法、粒子群算法进行比较](Matlab代码实现)内容概要:本文围绕基于改进粒子群算法的无人机路径规划展开研究,重点探讨了在复杂环境中利用改进粒子群算法(PSO)实现无人机三维路径规划的方法,并将其与遗传算法(GA)、标准粒子群算法等传统优化算法进行对比分析。研究内容涵盖路径规划的多目标优化、避障策略、航路点约束以及算法收敛性和寻优能力的评估,所有实验均通过Matlab代码实现,提供了完整的仿真验证流程。文章还提到了多种智能优化算法在无人机路径规划中的应用比较,突出了改进PSO在收敛速度和全局寻优方面的优势。; 适合人群:具备一定Matlab编程基础和优化算法知识的研究生、科研人员及从事无人机路径规划、智能优化算法研究的相关技术人员。; 使用场景及目标:①用于无人机在复杂地形或动态环境下的三维路径规划仿真研究;②比较不同智能优化算法(如PSO、GA、蚁群算法、RRT等)在路径规划中的性能差异;③为多目标优化问题提供算法选型和改进思路。; 阅读建议:建议读者结合文中提供的Matlab代码进行实践操作,重点关注算法的参数设置、适应度函数设计及路径约束处理方式,同时可参考文中提到的多种算法对比思路,拓展到其他智能优化算法的研究与改进中。
### ECON-B034 PCB 封装设计及相关数据表 ECON-B034 是一种特定型号的电子元件,通常用于功率转换或其他工业应用领域。为了获取其详细的PCB封装设计以及相关数据表,可以参考以下方法: #### 获取官方文档 制造商通常会提供完整的数据手册和技术规格书来描述该器件的功能特性、电气参数和物理尺寸等信息。这些文件可以通过访问生产厂商官网下载获得[^1]。 #### 查找具体资源路径 如果目标是找到关于 **ECON-B034** 的精确资料,则建议通过搜索引擎输入关键词组合如 “ECON-B034 datasheet” 或者进入芯片供应商网站直接检索产品线目录定位到对应条目页面链接地址[^2]。 #### 使用EDA工具库管理器 许多现代电子设计自动化(EDA)软件平台内置有庞大的元器件模型数据库,在其中搜索指定名称即可快速调用已验证的标准脚印图形作为项目开发基础素材之一;比如Altium Designer、KiCad等都支持在线同步更新第三方贡献的内容集合[^3]。 以下是 Python 脚本示例代码片段展示如何利用网络爬虫技术自动抓取网页上的公开可用的技术文档链接列表供进一步筛选处理: ```python import requests from bs4 import BeautifulSoup def fetch_datasheets(base_url, query_term): response = requests.get(f"{base_url}/search?q={query_term}") soup = BeautifulSoup(response.text, 'html.parser') results = [] for link in soup.find_all('a'): href = link.get('href') if href and ('datasheet' in href.lower()): results.append(href) return results urls = fetch_datasheets("https://example-manufacturer.com", "ECON-B034") print(urls) ``` 问题
评论
成就一亿技术人!
拼手气红包6.0元
还能输入1000个字符
 
红包 添加红包
表情包 插入表情
 条评论被折叠 查看
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值