Statistics and Econometrics: Methods and Applications (絕)
- 20本以上，享 8.5折
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- 一般書籍
- ISBN：9780470009451
- 作者：Orley Ashenfelter, Phillip B. Levine, David J. Zimmerman
- 版次：1
- 年份：2003
- 出版商：John Wiley
書籍介紹
本書特色
目錄
Description
Econometrics is the key research tool for the modern study of economic problems. Every subject in economics from finance to the environment, from health to the law, is dominated by econometric method. This book makes these tools accessible and easy to understand by bringing these issues to life with persuasive, real life applicatons to real economic problems.
Econometrics is the key research tool for the modern study of economic problems. Every subject in economics from finance to the environment, from health to the law, is dominated by econometric method. This book makes these tools accessible and easy to understand by bringing these issues to life with persuasive, real life applicatons to real economic problems.
Features
- Every major econometric method is illustrated by a persuasive, real life example applied to real data. These examples motivate students by showing them why it is important to study econometrics.
- Subjects that are critical to the practical application econometrics are included because these subjects motivate students. Other books do not include these topics. An example is the topic of sample design, which explains to students why samples are the size they are, and explains for example why the typical poll contains fewer than 2000 interviews and still predicts the winner accurately.
Table of Contents
1.Introduction to Econometrics
2.Basic Probability
3.Random Variables and Probability Distributions
4.Mathematics and Expectations
5.Multivariate Distributions
6.Sampling and Sampling Distributions
7.Estimation
8.Interval Estimation and Hypothesis Testing
9.Simple Linear Regression
10.Inference in Simple Linear Regression
11.Multiple Regression
12.Extending the Multiple Regression Model
13.Specification Error, Multicollinearity, and Measurement
14.Heteroskedascity and Serial Correlation
15.Simultaneos Equations
16.Dummy Dependent Variable
17.Analysis of Time Series Data
18.Panel Data Models
1.Introduction to Econometrics
2.Basic Probability
3.Random Variables and Probability Distributions
4.Mathematics and Expectations
5.Multivariate Distributions
6.Sampling and Sampling Distributions
7.Estimation
8.Interval Estimation and Hypothesis Testing
9.Simple Linear Regression
10.Inference in Simple Linear Regression
11.Multiple Regression
12.Extending the Multiple Regression Model
13.Specification Error, Multicollinearity, and Measurement
14.Heteroskedascity and Serial Correlation
15.Simultaneos Equations
16.Dummy Dependent Variable
17.Analysis of Time Series Data
18.Panel Data Models
