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" border="0" style="CURSOR: pointer;"/></font></a></td><td valign="top" align="center" width="25"></td><td valign="top" align="left"></td></tr></tbody></table><!--Element not supported - Type: 8 Name: #comment--></td></tr></tbody></table><br/><!--Element not supported - Type: 8 Name: #comment--><a href="http://bookshop.blackwell.co.uk/jsp/welcome.jsp?action=search&type=isbn&term=0201715953#Book details" target="_blank"><font color="#000000">Book details</font></a> | <a href="http://bookshop.blackwell.co.uk/jsp/welcome.jsp?action=search&type=isbn&term=0201715953#Full description" target="_blank"><font color="#000000">Full description</font></a> | <a href="http://bookshop.blackwell.co.uk/jsp/welcome.jsp?action=search&type=isbn&term=0201715953#Table of contents" target="_blank"><font color="#000000">Table of contents</font></a><br/> <!--Element not supported - Type: 8 Name: #comment--><!--Element not supported - Type: 8 Name: #comment--><!--Element not supported - Type: 8 Name: #comment--><!--Element not supported - Type: 8 Name: #comment--><br/> <table width="100%"><tbody><tr><td> </td></tr><tr><td><a target="_blank" name="Description"></a><table height="20" cellspacing="0" cellpadding="0" width="100%" border="0"><tbody><tr><td></td><td class="mainMediumColor" nowrap="nowrap" background="/images/fade.gif"><span class="whiteHeader"> Description (<a class="bookLinkWhite" href="http://bookshop.blackwell.co.uk/jsp/welcome.jsp?action=search&type=isbn&term=0201715953#Top" target="_blank"><font color="#000000">Back to top</font></a>)</span></td></tr></tbody></table></td></tr><tr><td> </td></tr></tbody></table><table><tbody></tbody></table><table id="typeDescription" width="100%"><tbody><tr><td>To make econometrics relevant in an introductory course, interesting applications must motivate the theory and the theory must match the applications. This text aims to motivate the need for tools with concrete applications, providing simple assumptions that match the application. <a class="bookLink" href="http://bookshop.blackwell.co.uk/jsp/welcome.jsp?action=search&type=isbn&term=0201715953#Full description" target="_blank"><font color="#000000">[read more]</font></a></td></tr></tbody></table><table><!--Element not supported - Type: 8 Name: #comment--><tbody></tbody></table><table cellspacing="0" cellpadding="0" width="100%" summary="" border="0"><tbody><tr><td colspan="2"><a target="_blank" name="Book details"></a><table height="20" cellspacing="0" cellpadding="0" width="100%" border="0"><tbody><tr><td></td><td class="mainMediumColor" nowrap="nowrap" background="/images/fade.gif"><span class="whiteHeader"></span></td></tr></tbody></table></td></tr><tr><td valign="top" colspan="2"><p></p></td></tr></tbody></table></td></tr></tbody></table></p>[此贴子已经被作者于2007-11-17 10:10:38编辑过]
[此贴子已经被作者于2007-10-29 23:02:08编辑过]
it's nice undergranduate book,
although a more popular one is written by Wooldridge, which covers most of econometrics topics with insightful perspective and coherent analysis.
其实,这本书并没有我读之前想象中的那么好。
感觉它的目标群体是那些不想用或不熟悉数学的本科生,正文只用了近乎高中水平的数学知识,书中以讲例子为主。尽管前言中J.Stock大牛介绍到,该书可以覆盖到研究生1年级水平,指的是17和18两章,以及附录。但我认为,熟悉数学的不会去看这本书,不熟悉数学的看这本书又得不到对计量较透彻理解的收获。处境有些尴尬了。但J.Stock大牛的讲义、计算机习题和课程配套论文还是很棒的,值得练习。
初级水平的计量教材我都熟悉,个人建议:
1、如果你很不熟悉数学,指基础概率和数理统计,可以看这本书,把17、18章及附录略去。结果是可以对计量有个大概印象,可以用Stata回归一下和案例分析;
2、如果你前期熟悉数学,所指同上,看书的时候需要有所复习,还是看D.Gujarati的吧。他的书真叫一个“苦口婆心”啊......
3、如果你熟悉数学的话,看J.Stock的会如格靴骚痒(过了),看D.Gujarati会觉得他罗嗦无比。还是看Wooldridge的打基础、案例分析,再看Golderber进阶吧
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