ECON1-UC 301 050 Introduction to Macroeconomics Summer 2024 3Web

Java Python Division of Applied Undergraduate Studies (DAUS)

Summer 2024

Introduction to Macroeconomics

ECON1-UC 301 050

Assignment 3

Instructions:

This homework is due by midnight on Saturday  August 10. Please upload your 3-4 page paper (in .doc or .docx but not PDF format) on Brightspace.

Any emailed responses will automatically result in an F.

Please do not use any outside sources including non-academic ones (In ECON1-UC 301 050 Introduction to Macroeconomics Summer 2024 Assignment 3Web vestopedia, Wikipedia etc. You will automatically lose points if you do so.

Use your own writing (and no AI software which can be detected easily) along with in-text citations when appropriate.

Prompt:

This prompt requires you to understand how and why Robert Hockett challenges the loanable funds model of credit creation. Briefly explain the following models in his article:

a) The neoclassical models in Figures 1 and 2: customer savings control the credit supply.

b) The endogenous credit models in Figures 3 and 4 explain how public authority (central bank) is central to accommodation and monetization. Explain briefly what these terms mean         

根据原作 https://pan.quark.cn/s/459657bcfd45 的源码改编 Classic-ML-Methods-Algo 引言 建立这个项目,是为了梳理和总结传统机器学习(Machine Learning)方法(methods)或者算法(algo),和各位同仁相互学习交流. 现在的深度学习本质上来自于传统的神经网络模型,很大程度上是传统机器学习的延续,同时也在不少时候需要结合传统方法来实现. 任何机器学习方法基本的流程结构都是通用的;使用的评价方法也基本通用;使用的一些数学知识也是通用的. 本文在梳理传统机器学习方法算法的同时也会顺便补充这些流程,数学上的知识以供参考. 机器学习 机器学习是人工智能(Artificial Intelligence)的一个分支,也是实现人工智能最重要的手段.区别于传统的基于规则(rule-based)的算法,机器学习可以从数据中获取知识,从而实现规定的任务[Ian Goodfellow and Yoshua Bengio and Aaron Courville的Deep Learning].这些知识可以分为四种: 总结(summarization) 预测(prediction) 估计(estimation) 假想验证(hypothesis testing) 机器学习主要关心的是预测[Varian在Big Data : New Tricks for Econometrics],预测的可以是连续性的输出变量,分类,聚类或者物品之间的有趣关联. 机器学习分类 根据数据配置(setting,是否有标签,可以是连续的也可以是离散的)和任务目标,我们可以将机器学习方法分为四种: 无监督(unsupervised) 训练数据没有给定...
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