厦门大学:《高级计量经济学》课程教学资源(课件讲稿)Introduction to Statistics and Econometrics

0院究研清想南臣王季大門厦 8.XIAM Introduction to Statistics and Econometrics Professor Yongmiao Hong Cornell University May13,2019
Introduction to Statistics and Econometrics Professor Yongmiao Hong Cornell University May 13, 2019

CONTENTS 1.1 General methodology of modern economic research 1.2 Roles of Econometrics 1.3 Illustrative Examples 1.4 Roles of Probability and Statistics Probability and Statistics for Economists Introduction to Statistics and Econometrics May13,2019 2
Probability and Statistics for Economists Introduction to Statistics and Econometrics May 13, 2019 2 1.1 General methodology of modern economic research 1.2 Roles of Econometrics 1.3 Illustrative Examples 1.4 Roles of Probability and Statistics CONTENTS

General methodology of modern economic research Step 1:Data collections and summary of empirical stylized facts Step 1:Data collections and summary of empirical stylized facts economic Empirical Data theories validation Applications collections models inference Data collections: surveys field studies 20% 80% experimental economics Big data Probability and Statistics for Economists Introduction to Statistics and Econometrics May13,2019 3
Probability and Statistics for Economists Introduction to Statistics and Econometrics May 13, 2019 3 Step 1: Data collections and summary of empirical stylized facts Data collections: surveys field studies experimental economics Big data General methodology of modern economic research Step 1: Data collections and summary of empirical stylized facts Data collections economic theories /models Empirical validation /inference Applications

General methodology of modern economic research Step 1:Data collections and summary of empirical stylized facts Step 1:Data collections and summary of empirical stylized facts The so-called stylized facts are often summarized from observed economic data. Example 1:Engel curve in microeconomics The share of a consumer's expenditure on a commodity out of her or his total income will vary as his/her income changes; Engel Curves Income (per month) 30 Inferior Engel curves slope 20 backward bending for inferior goods. Normal 10 Food(units 8 12 16 per month) Probability and Statistics for Economists Introduction to Statistics and Econometrics May13,2019 4
Probability and Statistics for Economists Introduction to Statistics and Econometrics May 13, 2019 4 Step 1: Data collections and summary of empirical stylized facts The so-called stylized facts are often summarized from observed economic data. General methodology of modern economic research Step 1: Data collections and summary of empirical stylized facts Example 1:Engel curve in microeconomics The share of a consumer’s expenditure on a commodity out of her or his total income will vary as his/her income changes;

General methodology of modern economic research Step 1:Data collections and summary of empirical stylized facts Step 1:Data collections and summary of empirical stylized facts Example 2:Phillips Curve in macroeconomics: A negative correlation between the inflation rate and the unemployment rate in an aggregate economy; Inflation rate (% E E Phillips curve Unemployment rate(%) Probability and Statistics for Economists Introduction to Statistics and Econometrics May13,2019 5
Probability and Statistics for Economists Introduction to Statistics and Econometrics May 13, 2019 5 Step 1: Data collections and summary of empirical stylized facts Example 2: Phillips Curve in macroeconomics: A negative correlation between the inflation rate and the unemployment rate in an aggregate economy; General methodology of modern economic research Step 1: Data collections and summary of empirical stylized facts

General methodology of modern economic research Step 1:Data collections and summary of empirical stylized facts Step 1:Data collections and summary of empirical stylized facts Example 3:volatility clustering in finance: A high volatility today tends to be followed by another high volatility tomorrow,a low volatility today tends to be followed by another low volatility tomorrow,and both alternate over time. m 500 10001500 2000 2500 time Probability and Statistics for Economists Introduction to Statistics and Econometrics May13,2019 6
Probability and Statistics for Economists Introduction to Statistics and Econometrics May 13, 2019 6 Step 1: Data collections and summary of empirical stylized facts Example 3: volatility clustering in finance: A high volatility today tends to be followed by another high volatility tomorrow, a low volatility today tends to be followed by another low volatility tomorrow, and both alternate over time. General methodology of modern economic research Step 1: Data collections and summary of empirical stylized facts

General methodology of modern economic research Step 1:Data collections and summary of empirical stylized facts Step 1:Data collections and summary of empirical stylized facts a starting point the empirical serve as for economic stylized facts research Probability and Statistics for Economists Introduction to Statistics and Econometrics May13,2019 7
Probability and Statistics for Economists Introduction to Statistics and Econometrics May 13, 2019 7 Step 1: Data collections and summary of empirical stylized facts General methodology of modern economic research Step 1: Data collections and summary of empirical stylized facts the empirical stylized facts a starting point for economic research serve as

General methodology of modern economic research Step 2:Development of economic theories/models Step 2:Development of economic theories/models economic Empirical Data theories validation Applications collections /models inference With the empirical stylized facts in mind, economists then develop an economic theory or model. ● This usually calls for specifying a mathematical model of economic theory. Probability and Statistics for Economists Introduction to Statistics and Econometrics May13,2019 8
Probability and Statistics for Economists Introduction to Statistics and Econometrics May 13, 2019 8 Step 2: Development of economic theories/models ● With the empirical stylized facts in mind, economists then develop an economic theory or model. ● This usually calls for specifying a mathematical model of economic theory. General methodology of modern economic research Step 2: Development of economic theories/models Data collections economic theories /models Empirical validation /inference Applications

General methodology of modern economic research Step 2:Development of economic theories/models Step 2:Development of economic theories/models An example is the Euler equation for rational expectations in macroeconomics. The objective of economic modeling is not merely to explain the stylized facts,but also to understand the economic mechanism. Probability and Statistics for Economists Introduction to Statistics and Econometrics May13,2019 9
Probability and Statistics for Economists Introduction to Statistics and Econometrics May 13, 2019 9 Step 2: Development of economic theories/models • An example is the Euler equation for rational expectations in macroeconomics. • The objective of economic modeling is not merely to explain the stylized facts, but also to understand the economic mechanism. General methodology of modern economic research Step 2: Development of economic theories/models

General methodology of modern economic research Step 3:Empirical validation/inference of economic models Step 3:Empirical validation/inference of economic models economic Empirical Data theories validation Applications collections models /inference A key is to transform an economic model into a testable empirical econometric model. One often has to assume some functional form, up to some unknown model parameters,or to choose suitable instrumental variables to form a set of moment conditions. Probability and Statistics for Economists Introduction to Statistics and Econometrics May13,2019 10
Probability and Statistics for Economists Introduction to Statistics and Econometrics May 13, 2019 10 Step 3: Empirical validation/inference of economic models General methodology of modern economic research Step 3: Empirical validation/inference of economic models • A key is to transform an economic model into a testable empirical econometric model. • One often has to assume some functional form, up to some unknown model parameters, or to choose suitable instrumental variables to form a set of moment conditions. Data collections economic theories /models Empirical validation /inference Applications
按次数下载不扣除下载券;
注册用户24小时内重复下载只扣除一次;
顺序:VIP每日次数-->可用次数-->下载券;
- 厦门大学:《高级计量经济学》课程教学资源(教学大纲)A Course on Advanced Econometrics(主讲:洪永淼).pdf
- 运城学院:《宏观经济学》课程教学资源(电子教案,打印版,负责人:李吉续).pdf
- 运城学院:《宏观经济学》课程教学资源(各章习题,含答案,打印版)第五章 国际经济的基本知识.pdf
- 运城学院:《宏观经济学》课程教学资源(各章习题,含答案,打印版)第四章 失业与通货膨胀.pdf
- 运城学院:《宏观经济学》课程教学资源(各章习题,含答案,打印版)第三章 凯恩斯的宏观经济政策主张.pdf
- 运城学院:《宏观经济学》课程教学资源(各章习题,含答案,打印版)第二章 凯恩斯的均衡国民收入理论.pdf
- 运城学院:《宏观经济学》课程教学资源(各章习题,含答案,打印版)第一章 福利经济学和微观经济政策.pdf
- 华东理工大学:《商业银行经营学》课程教学资源(PPT课件讲稿)第十四章 商业银行经营发展趋势.ppt
- 华东理工大学:《商业银行经营学》课程教学资源(PPT课件讲稿)第十三章 商业银行经营风险与内部控制.ppt
- 华东理工大学:《商业银行经营学》课程教学资源(PPT课件讲稿)第十二章 商业银行绩效评估.ppt
- 华东理工大学:《商业银行经营学》课程教学资源(PPT课件讲稿)第十章 国际业务.ppt
- 华东理工大学:《商业银行经营学》课程教学资源(PPT课件讲稿)第十一章 商业银行资产负债管理策略.ppt
- 华东理工大学:《商业银行经营学》课程教学资源(PPT课件讲稿)第九章 其他业务.ppt
- 华东理工大学:《商业银行经营学》课程教学资源(PPT课件讲稿)第八章 表外业务.ppt
- 华东理工大学:《商业银行经营学》课程教学资源(PPT课件讲稿)第七章 租赁与信托.ppt
- 华东理工大学:《商业银行经营学》课程教学资源(PPT课件讲稿)第六章 银行证券投资业务.ppt
- 华东理工大学:《商业银行经营学》课程教学资源(PPT课件讲稿)第四章 现金资产业务.ppt
- 华东理工大学:《商业银行经营学》课程教学资源(PPT课件讲稿)第五章 贷款业务.ppt
- 华东理工大学:《商业银行经营学》课程教学资源(PPT课件讲稿)第三章 负债业务经营.ppt
- 华东理工大学:《商业银行经营学》课程教学资源(PPT课件讲稿)第二章 资本业务(商业银行的资本).ppt
- 中国科学院数学与系统科学研究院:《高级计量经济学》课程教学资源(课件讲稿)第一章 Introduction to Econometrics.pdf
- 中国科学院数学与系统科学研究院:《高级计量经济学》课程教学资源(课件讲稿)第二章 General Regression Analysis.pdf
- 中国科学院数学与系统科学研究院:《高级计量经济学》课程教学资源(课件讲稿)第三章 Classical Linear Regression Model.pdf
- 中国科学院数学与系统科学研究院:《高级计量经济学》课程教学资源(课件讲稿)第四章 Professor Yongmiao Hong.pdf
- 厦门大学:《概率论与数理统计 Probability and Statistics for Economists》课程教学资源(教学大纲,主讲:洪永淼).pdf
- 厦门大学:《概率论与数理统计 Probability and Statistics for Economists》课程教学资源(课件讲稿)Chapter 02 Foundation of Probability Theory.pdf
- 厦门大学:《概率论与数理统计 Probability and Statistics for Economists》课程教学资源(课件讲稿)Chapter 03 Random Variables and Univariate Probability Distributions.pdf
- 厦门大学:《概率论与数理统计 Probability and Statistics for Economists》课程教学资源(课件讲稿)Chapter 10 Big Data, Machine Learning and Statistics.pdf
- 厦门大学:《概率论与数理统计 Probability and Statistics for Economists》课程教学资源(课件讲稿)Chapter 05 Multivariate Probability Distributions.pdf
- 厦门大学:《概率论与数理统计 Probability and Statistics for Economists》课程教学资源(课件讲稿)Chapter 06 Multivariate Probability Distributions.pdf
- 厦门大学:《概率论与数理统计 Probability and Statistics for Economists》课程教学资源(课件讲稿)Chapter 07 Convergences and Limit Theorems.pdf
- 厦门大学:《概率论与数理统计 Probability and Statistics for Economists》课程教学资源(课件讲稿)Chapter 08 Parameter Estimation and Evaluation.pdf
- 厦门大学:《概率论与数理统计 Probability and Statistics for Economists》课程教学资源(课件讲稿)Chapter 09 Hypothesis Testing.pdf
- 厦门大学:《概率论与数理统计 Probability and Statistics for Economists》课程教学资源(课件讲稿)Chapter 01 Introduction to Statistics and Econometrics.pdf
- 厦门大学:《概率论与数理统计 Probability and Statistics for Economists》课程教学资源(课件讲稿)Chapter 04 Important Probability Distributions.pdf
- 厦门大学:《社会主义政治经济学 Socialist Political Economics》课程教学资源(PPT课件讲稿)导论(主讲:洪永淼).pptx
- 厦门大学:《社会主义政治经济学 Socialist Political Economics》课程教学资源(PPT课件讲稿)第二章 资本主义经济发展规律.pptx
- 厦门大学:《社会主义政治经济学 Socialist Political Economics》课程教学资源(PPT课件讲稿)第二章 附录——商品生产基本概念.pptx
- 厦门大学:《社会主义政治经济学 Socialist Political Economics》课程教学资源(PPT课件讲稿)马克思恩格斯社会主义思想的理论来源(主讲:侯金光).pdf
- 厦门大学:《社会主义政治经济学 Socialist Political Economics》课程教学资源(PPT课件讲稿)三十年代苏联党内斗争和大镇压(主讲:侯金光).pptx