Introduction to Econometrics, Brief Edition

Introduction to Econometrics, Brief Edition pdf epub mobi txt 电子书 下载 2025

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.

出版者:Pearson
作者:James H. Stock
出品人:
页数:544
译者:
出版时间:2007-1-19
价格:USD 142.00
装帧:Hardcover
isbn号码:9780321432513
丛书系列:
图书标签:
  • 经济 
  • econometrics 
  • 金融 
  • 教材 
  • 金融·经济 
  • 金融&经济 
  • 经济学 
  • 计量入门加深入 
  •  
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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.

具体描述

读后感

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讲述清晰,透彻。 覆盖的内容比伍德里奇的那本书稍微少一点,比如面板数据只讲了固定效应模型,没有讲随机效应模型;受限因变量中没有讲Tobit模型、truncated 和censored 模型。 但是所有的内容都讲清楚了,尤其是时间序列部分,比伍德里奇的书说的明白。 目前只用过这本书,不...  

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译者特别喜欢直译,对英语从句从不处理,译文的句子又长又臭。 这种翻译水平,还是别来骗大伙的钱了。 举个例子吧,让大伙开动一下脑筋,杀杀脑细胞。 P430 通货膨胀中包含随机性趋势的原假设对其平稳的备择假设可用检验单位自回归根的ADF检验来进行。 The null hypothesis th...

评分

讲述清晰,透彻。 覆盖的内容比伍德里奇的那本书稍微少一点,比如面板数据只讲了固定效应模型,没有讲随机效应模型;受限因变量中没有讲Tobit模型、truncated 和censored 模型。 但是所有的内容都讲清楚了,尤其是时间序列部分,比伍德里奇的书说的明白。 目前只用过这本书,不...  

评分

讲述清晰,透彻。 覆盖的内容比伍德里奇的那本书稍微少一点,比如面板数据只讲了固定效应模型,没有讲随机效应模型;受限因变量中没有讲Tobit模型、truncated 和censored 模型。 但是所有的内容都讲清楚了,尤其是时间序列部分,比伍德里奇的书说的明白。 另外,这本书出了第二...  

评分

讲述清晰,透彻。 覆盖的内容比伍德里奇的那本书稍微少一点,比如面板数据只讲了固定效应模型,没有讲随机效应模型;受限因变量中没有讲Tobit模型、truncated 和censored 模型。 但是所有的内容都讲清楚了,尤其是时间序列部分,比伍德里奇的书说的明白。 目前只用过这本书,不...  

用户评价

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写的很清楚啦

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学过了应统之后这本书一点都不难……

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恩 教材 还好吧~~很易懂但是也很难...哎..

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很好很受用

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great book!

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