## 计量经济学导论A thorough understanding of econometrics allows students to better understand the relationships on which people, businesses, and governments base their decisions. And to make econometrics relevant in an introductory course, interesting applications must motivate the theory and the theory must match the applications. This text motivates the need for tools with concrete applications, and then provide simple assumptions that match the application. Because the theory is immediately relevant to the applications, this approach makes econometrics come alive. Real-world questions and data are integrated into the theoretical development, and appropriate coverage is given to the substantive findings of the resulting empirical analysis. And topics presented in the text reflect modern theory and practice. |

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Page 344

The

multiple instrumental variables is computed in two stages: 1. First-stage

regression(s): Regress Xu on the instrumental variables (Zu, . . . , Zm) and the

included ...

The

**TSLS estimator**in the general IV regression model in Equation (10.12) withmultiple instrumental variables is computed in two stages: 1. First-stage

regression(s): Regress Xu on the instrumental variables (Zu, . . . , Zm) and the

included ...

Page 369

Thus, the

is the OLS slope coefficient from the first stage of TSLS, so = SyX/s7. Substitution

of this formula for jt1 into the formula /j,rsLi = S7y/{n^), yields the formula for the ...

Thus, the

**TSLS estimator**can be written as fi'SLS = S^y/s^ = s7Y/{n^2). Finally, i,is the OLS slope coefficient from the first stage of TSLS, so = SyX/s7. Substitution

of this formula for jt1 into the formula /j,rsLi = S7y/{n^), yields the formula for the ...

Page 410

The

covariance between Z and Y to the sample covariance between Z and X. If the

observations are i.i.d., then these sample covariances are consistent estimators

of ...

The

**TSLS estimator**is p^fSLS = sZY/szx (Equation (10.4)), the ratio of the samplecovariance between Z and Y to the sample covariance between Z and X. If the

observations are i.i.d., then these sample covariances are consistent estimators

of ...

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### Contents

Economic Questions and Data | 3 |

Review of Probability | 16 |

A Bad Day on Wall Street | 37 |

Copyright | |

36 other sections not shown

### Other editions - View all

Introduction to Econometrics, Update, Student Value Edition Plus New ... James H. Stock,Mark W. Watson No preview available - 2014 |

### Common terms and phrases

Appendix application autoregressive binary variable central limit theorem Chapter cigarettes computed confidence interval correlated covariance data set dependent variable distributed lag district income earnings econometric economic effect on test English learners error term esti example exogenous external validity F-statistic Figure fixed effects regression forecast formula heteroskedasticity homoskedastic hypothesis test included inflation instrumental variables intercept Key Concept large samples least squares assumptions logarithm logit method multiple regression multiple regression model nonlinear regression normal distribution null hypothesis observations OLS estimator OLS regression omitted variable bias p-value P/I ratio panel data percentage of English population mean population regression function population regression line predicted value probability distribution probit random variable randomly regres regressors rejected sample average sampling distribution scatterplot significance level single regressor slope specification standard deviation standard errors standard normal student-teacher ratio summarized in Key Table test scores tion treatment TSLS estimator variance zero