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<P><FONT color=#0909f7 size=3><STRONG>Using Econometrics:A pratical Guide </STRONG></FONT></P>
<P><FONT color=#0909f7 size=3><STRONG>by A.H. Studenmund</STRONG></FONT></P>
<P><FONT color=#0909f7 size=3><STRONG>格式：pdf</STRONG></FONT></P>
<P><U><FONT color=#0968f7>Description </FONT></U></P>
<P>Combining single-equation linear regression analysis with intuitive real-world examples and exercises is key to the success of Using Econometrics.  Clear writing and a practical approach to econometrics that eschews the use of complex matrix algebra and calculus evidence this essential text's accessibility. </P>
<P>As the subtitle, A Practical Guide, implies, this book is aimed not only at beginning econometrics students, but also at regression users looking for a refresher and at experienced practitioners who want a convenient reference.</P>
<P><U><FONT color=#0066ff>Contents</FONT></U></P>
<P><br>I. THE BASIC REGRESSION MODEL. </P>
<P>      1. An Overview of Regression Analysis. </P>
<P>      2. Ordinary Least Squares. </P>
<P>      3. Learning to Use Regression Analysis. </P>
<P>      4. The Classical Model. </P>
<P>      5. Hypothesis Testing. </P>
<P>II. VIOLATIONS OF THE CLASSICAL ASSUMPTIONS. </P>
<P>      6. Specification: Choosing the Independent Variables. </P>
<P>      7. Specification: Choosing a Functional Form. </P>
<P>      8. Multicollinearity. </P>
<P>      9. Serial Correlation. </P>
<P>     10. Heteroskedasticity. </P>
<P>     11. A Regression User's Handbook. </P>
<P>III. EXTENSIONS OF THE BASIC REGRESSION MODEL. </P>
<P>    12. Time-Series Models. </P>
<P>    13. Dummy Dependent Variable Techniques. </P>
<P>     14. Simultaneous Equations. </P>
<P>     15. Forecasting. </P>
<P>     16. Statistical Principles. </P>

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