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作者 Wooldridge, Jeffrey M., 1960- author
書名 Introductory econometrics : a modern approach / Jeffrey M. Wooldridge
出版項 Australia : South-Western Cengage Learning, [2013]
©2013
國際標準書號 9781111534394 (pbk.)
111153439X (pbk.)
book jacket
館藏地 索書號 處理狀態 OPAC 訊息 條碼
 歐美所圖書館  330.01 W882in 2013    到期 04-21-21  -  30500101511155
版本 Fifth edition, International edition
說明 xxvii, 878 pages : illustrations (colour) ; 24 cm
text rdacontent
still image rdacontent
unmediated rdamedia
volume rdacarrier
附註 Previous edition: 2009
"Not for sale in USA, Canada, or Australia"--Cover
Ch. 1. The nature of econometrics and economic data -- pt. 1. Regression analysis with cross-sectional data -- Ch. 2. The simple regression model -- Ch. 3. Mutiple regression analysis: estimation -- Ch. 4. Mutiple regression analysis: inference -- Ch. 5. Mutiple regression analysis: OLS asymptotics -- Ch. 6. Mutiple regression analysis: further issues -- Ch. 7. Mutiple regression analysis with qualitative information: binary (or dummy) variables -- Ch. 8. Hetroskedasticity -- Ch. 9. More on specification and data issues -- pt. 2. Regression analysis with time series data -- Ch. 10. Basic regression analysis with time series data -- Ch. 11. Further issues in using OLS with time series data -- Ch. 12. Serial correlation and heteroskedasticity in time series regressions -- Ch. 13. Pooling cross sections across time: simple panel data methods -- Ch. 14. Advanced panel data methods -- Ch. 15. Instrumental variables estimation and two stage least squares -- Ch. 16. Simulatensous equations models -- Ch. 17. Limited dependent variable models and sample selection corrections -- Ch. 18. Advanced time series topics -- Ch. 19. Carrying out an empirical project
Includes bibliographical references (p. 832-837) and index
Wooldridge uses a systematic approach motivated by the major problems facing applied researchers. This text provides important understanding for empirical work in many social sciences, as well as for carrying out research projects
Specialized
主題 Econometrics
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