ECON6007 Labour EconomicsWeb

Java Python ECON6007 Labour Economics

Course Objectives:

The aim of this course is to provide students with the knowledge and skills necessary to un-dertake academic research in labour economics and to work as professional labour economists. The course discusses in details some of the most important topics in labour economics re-search by bringing the theory to the data using a combination of empirical methodologies.

Syllabus:

Labour supply: Neoclassical theory of labour supply; Empirical evidence on estimates of the labour supply elasticities; Policy applications

Labour demand: Static labour demand; Adjustment costs; Empirical evidence on labour demand elasticities (Focus on minimum wages)

Human capital: The theory of human capital (schooling model and signalling model); Empirical evidence on returns to education

Discrimination: Theories of discrimination; Empirical evidence on gender and race discrimination

Labour mobility: Theory; Empirical evidence on labour market effects of migration

Empirical project: How to carry out a labour economics empirical project

Learning Outcomes:

Having successfully completed the module students should be able to:

• Identify and discuss key issues related to current research in labour economics.

• Employ modern theoretical and empirical techniques to analyse research questions in labour economics.

• Use applied economics to address policy relevant questions in labour economics.

Course Assessment

• one 10% written assignment – to be handed in March 22nd 2019.

• one 90% individual coursework in form. of an essay / research report on a labour eco-nomics topic (including econometric analysis with statistical software) – to be handed in May 3rd 2019. You will also have to give a brief oral presentation of your research report. Details will be posted on Blackboard.

Textbook References

The lecture slides should be self-contained, but in case you want to consult some textbooks:

• Cahuc, Pierre, Stephane Carcillo and Andr´e Zylberberg (2014). Labor Economics, MIT Press.

• Borjas, George (2012). Labor Economics (6th edition), McGraw-Hill.

• Angrist, Joshua and J¨orn-Steffen Pischke (2009). Mostly Harmless Econometrics, Princeton University Press, Princeton and Oxford         

考虑柔性负荷的综合能源系统低碳经济优化调度【考虑碳交易机制】(Matlab代码实现)内容概要:本文围绕“考虑柔性负荷的综合能源系统低碳经济优化调度”展开,重点研究在碳交易机制下如何实现综合能源系统的低碳化与经济性协同优化。通过构建包含风电、光伏、储能、柔性负荷等多种能源形式的系统模型,结合碳交易成本与能源调度成本,提出优化调度策略,以降低碳排放并提升系统运行经济性。文中采用Matlab进行仿真代码实现,验证了所提模型在平衡能源供需、平抑可再生能源波动、引导柔性负荷参与调度等方面的有效性,为低碳能源系统的设计与运行提供了技术支撑。; 适合人群:具备一定电力系统、能源系统背景,熟悉Matlab编程,从事能源优化、低碳调度、综合能源系统等相关领域研究的研究生、科研人员及工程技术人员。; 使用场景及目标:①研究碳交易机制对综合能源系统调度决策的影响;②实现柔性负荷在削峰填谷、促进可再生能源消纳中的作用;③掌握基于Matlab的能源系统建模与优化求解方法;④为实际综合能源项目提供低碳经济调度方案参考。; 阅读建议:建议读者结合Matlab代码深入理解模型构建与求解过程,重点关注目标函数设计、约束条件设置及碳交易成本的量化方式,可进一步扩展至多能互补、需求响应等场景进行二次开发与仿真验证。
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