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作业


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审定:无
翻译:翁于棻(简介并寄信)
编辑:侯嘉珏(简介并寄信)

以下为Sorensen教授对作业的要求

The assignments are described below, in Professor Sorensen's own words.

这些作业都没有特定答案。我不会指定你该用什么相依变数、该解释什么…等等。这样的部份目的是要让你练习如何使用数据、估计模型和使答案合理化。利用课程15.347所学,你要规划出数据的概念性模型和统计模型。这门课较大的限制是你只能使用当周课堂中讨论的方法(例如:计算模型)。我都已经将适当的数据资料设定好,不过你也可以使用自己取得的数据。

The assignments are deliberately open-ended. It is not specified what the dependent variable should be, what you are trying to explain, etc. Part of the goal of these exercises is to give you practice with working with data, estimating models and making sense of the results. In the language of 15.347, I want you to formulate a conceptual model of the data as well as a statistical model. The major constraint is that you apply the method discussed during that week's class (e.g., count models). I will make appropriate datasets available for this purpose, but you are also allowed to use your own data sources.

每次“应用”课的开始都要交一份分析结果概要,本文最多两页,加上图表,并根据推衍出的概念性模型讨论其结果。这些作业最多可由两人一组完成。我每周会请两或三组提出他们的工作结果,并在课堂中讨论。

At the beginning of class in each "Application" week, I ask that you hand in a brief summary of the results of your analysis. This summary should be a maximum of two pages of text, plus any tables and figures, and should discuss the results in light of the conceptual model you have developed. These assignments may be done in groups of up to two people. I will ask two or three groups each week to present the results of their work, so that we may discuss them as a class.


课程单元 作业
1 导读:课程目标与运算
Introduction: Course Goals and Logistics
2 理论:普通最小平方回归
Principles: Ordinary Least Squares Regression
3 应用:普通最小平方回归 口头报告
Presentations of worked data
4 理论:二元结果模型
Principles: Models for Binary Outcomes
5 应用:二元结果模型
Applications: Models for Binary Outcomes
口头报告
Presentations of worked data
6 理论:计算模型
Principles: Models for Counts
7 应用:计算模型
Applications: Models for Counts
口头报告
Presentations of worked data
8 理论:跨区域整合/时间序列分析
Principles: Pooled Cross-Section/Time Series Analysis
9 应用:跨区域整合/时间序列分析
Applications: Pooled Cross-Section/Time Series Analysis
口头报告
Presentations of worked data
10 理论:事件历史分析与数据架构之基础概念
Principles: Basic Concepts of Event History Analysis and Data Structures
11 理论:事件历史数据之叙述统计
Principles: Descriptive Statistics for Event History Data
12 理论:事件历史数据之模型
Principles: Models for Event History Data
13 应用:事件历史分析
Applications: Event History Analysis
口头报告
Presentations of worked data
14 回顾与整合
Review and Wrap-up

 
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