In keeping with their successful introductory econometrics text, Stock and Watson motivate each methodological topic with a real-world policy application that uses data, so that readers apply the theory immediately. Introduction to Econometrics, Brief, is a streamlined version of their text, including the fundamental topics, an early review of statistics and probability,...
In keeping with their successful introductory econometrics text, Stock and Watson motivate each methodological topic with a real-world policy application that uses data, so that readers apply the theory immediately. Introduction to Econometrics, Brief, is a streamlined version of their text, including the fundamental topics, an early review of statistics and probability, the core material of regression with cross-sectional data, and a capstone chapter on conducting empirical analysis. Introduction and Review: Economic Questions and Data; Review of Probability; Review of Statistics. Fundamentals of Regression Analysis: Linear Regression with One Regressor; Regression with a Single Regressor: Hypothesis Tests and Confidence Intervals in the Single-Regressor Model; Linear Regression with Multiple Regressors; Hypothesis Tests and Confidence Intervals in the Multiple Regressor Model; Nonlinear Regression Functions; Assessing Studies Based on Multiple Regression; Conducting a Regression Study Using Economic Data. MARKET : For all readers interested in econometrics.
作者简介
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James Stock chairs the Department of Economics at Harvard University. His research focuses on empirical macroeconomics, forecasting, and econometric methods. Among other things, he has served on the economics panel at the National Science Foundation, on the Academic Advisory Group of the Federal Reserve Bank of Boston, and as a consultant to the European Central Bank. He recei...
James Stock chairs the Department of Economics at Harvard University. His research focuses on empirical macroeconomics, forecasting, and econometric methods. Among other things, he has served on the economics panel at the National Science Foundation, on the Academic Advisory Group of the Federal Reserve Bank of Boston, and as a consultant to the European Central Bank. He received his Bachelor’s degree from Yale and holds advanced degrees in statistics and economics from the University of California, Berkeley.
Mark Watson is the Howard Harrison and Gabrielle Snyder Beck Professor of Economics and Public Affairs at Princeton University and a research associate at the National Bureau of Economic Research. He is a fellow of the American Academy of Arts and Sciences and of the Econometric Society. His research focuses on time-series econometrics, empirical macroeconomics, and macroeconomic forecasting. He has served as a consultant for the Federal Reserve Banks of Chicago and Richmond. Before coming to Princeton, Watson served on the economics faculty at Harvard and Northwestern. Watson did his undergraduate work at Pierce Junior College and California State University at Northridge, completed his Ph.D. at the University of California at San Diego, and holds on honorary doctorate from the University of Bern.
大黄蜂95号
格致出版社2012版
混路的阿鹏哥
Pearson2010版
Akiha
格致出版社2009版
聯荷國覓書長
格致出版社2009版
0 有用 o_O 2008-05-30 07:15:18
日久生情
0 有用 Q,S 2012-05-12 04:53:56
看了前半本
0 有用 Yuna 2009-02-16 09:07:03
恩 教材 还好吧~~很易懂但是也很难...哎..
0 有用 混路的阿鹏哥 2011-01-09 21:26:20
当TA时用的教材，由于是教材内容为本科水平，没太认真读过，不过两位大牛写的书，一定不错。
0 有用 爱吃抹茶 2010-12-08 05:08:31
great book!
0 有用 沈鹤凫仝咼 2021-12-26 14:17:49
和wooldridge难度差不多互补看
0 有用 欧罗巴流浪者 2021-11-22 04:11:38
读的第三（算上古扎拉蒂这就是第四本）本初-中级微观。竟然读研之后才知道这本书，个人觉得他的结构比伍德里奇更好一些，虽然话题讨论可能比伍德里奇少一点。本书13、14两章还没看，另外时序部分还没看。但我觉得这本书整体从理论基础到理论再到应用的结构还是让我更加偏爱一些。
0 有用 潮汐 2015-03-24 21:57:37
比伍德里奇那本简单一些，但是panel data部分编得更有逻辑一点
0 有用 GZang123太大了 2014-05-10 10:15:10
lolololol Econometrics FTW
0 有用 Q,S 2012-05-12 04:53:56
看了前半本