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- Author: Michael Bailey
- Publisher: Oxford University Press, USA
- ISBN-10: 0190857463
- ISBN-13: 9780190857462
- Format: 18.8 x 23.1 x 2.5 cm, minkšti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
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Description
An engaging and practical introduction to econometrics, Real Econometrics: The Right Tools to Answer Important Questions, offers thorough coverage of the most frequently used methods of analysis. Grounded in contemporary understandings of causal inference, the text invites students to extract meaningful information about important economic policy issues from available data. Bailey's emphasis on practical applications, combined with a lively and conversational narrative and a diverse array of examples and case studies, provides students with a solid foundation in the analytical tools they will use throughout their academic and professional careers. The second edition includes new conceptual exercises, revised appendices, and additional code and guidance for R software.
EXTRA 10 % discount with code: EXTRA
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The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: Michael Bailey
- Publisher: Oxford University Press, USA
- ISBN-10: 0190857463
- ISBN-13: 9780190857462
- Format: 18.8 x 23.1 x 2.5 cm, minkšti viršeliai
- Language: English English
An engaging and practical introduction to econometrics, Real Econometrics: The Right Tools to Answer Important Questions, offers thorough coverage of the most frequently used methods of analysis. Grounded in contemporary understandings of causal inference, the text invites students to extract meaningful information about important economic policy issues from available data. Bailey's emphasis on practical applications, combined with a lively and conversational narrative and a diverse array of examples and case studies, provides students with a solid foundation in the analytical tools they will use throughout their academic and professional careers. The second edition includes new conceptual exercises, revised appendices, and additional code and guidance for R software.
Reviews