Econometrics: A Modern Introduction
作/譯者
版次
1 版
年份
2006
ISBN
9780321223289
出版商
產品分類
產品型式
平裝
頁數
976 ⾴
定價
1,120元
A Modern Introduction conditions students to think like econometricians right from the start by opening with a unique Monte Carlo exercise, and connects econometrics to economic theory through a series of exemplary econometric analyses presented throughout the text.

Features
1.Students learn to critically evaluate economic conclusions through the use of original data and compelling topics
2.Regression’s Greatest Hits features, which present a series of exemplary econometric analyses, help students make a clear connection between econometrics and economics.
3.Econometrics: A Modern Introduction keeps economic behavior in the foreground by focusing on real-life applications as it uses theory to quantify economic relationships.
4.Econometrics: A Modern Introduction can be used with both introductory and advanced students possessing the prerequisite economic and statistic theoretical background.
5.A Monte Carlo simulation tutorial on the textbook Web site takes students through the choices they must make to build their Monte Carlo models, and then presents them with the Monte Carlo results.
6.Econometrics: A Modern Introduction returns to Monte Carlo analyses to introduce heteroskedasticity, errors in variables, and consistency. Programs for these exercises are also on the Web site.
PARTI THE LINEAR REGRESSION MODEL
Ch.1 What is Econometrics?
Ch.2 Choosing Estimators: Intuition and Monte Carlo Methods
Ch.3 Linear Estimators and the Gauss—Markov Theorem
Ch.4 Blue Estimators for the Slope and Intercept of a Straight Line
Ch.5 Residuals
Ch.6 Multiple Regression

PARTII SPECIFICATION AND HYPOTHESIS TESTING
Ch.7 Testing Single Hypotheses in Regression Models
Ch.8 Superfluous and Omitted Variables, Multicollinearity and Binary Variables
Ch.9 Testing Multiple Hypotheses

PARTIII FURTHER TOPICS IN REGRESSION
Ch.10 Heteroskedastic Disturbances
Ch.11 Autoregressive Disturbances
Ch.12 Large Sample Properties Of Estimators: Consistency and Asymptotic Efficiency
Ch.13 Instrumental Variables Estimation
Ch.14 Systems of Equations
Ch.15 Randomized Experiments and Natural Experiments
Ch.16 Analyzing Panel Data
Ch.17 Forecasting
Ch.18 Stochastically Trending Variables
Ch.19 Logit and Probit Models: Truncated and Censored Samples
Statistical Appendix
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