An introduction to modern econometrics using Stata / Christopher F. Baum.
Material type:
TextPublisher: College Station, Tex. : Stata Press, [2006]Copyright date: ©2006Description: xviii, 341 pages : illustrations ; 24 cmContent type: - text
- unmediated
- volume
- 1597180130
- 9781597180139
- 330.011 22
- HB141 .B38 2006
Contents:
1. Introduction -- 2. Working with economic and financial data in Stata -- 3. Organizing and handling economic data -- 4. Linear regression -- 5. Specifying the functional form -- 6. Regression with non-i.i.d. errors -- 7. Regression with indicator variables -- 8. Instrumental-variables estimators -- 9. Panel-data models -- 10. Models of discrete and limited dependent variables -- A. Getting the data into Stata -- B. The basics of Stata programming.
| Item type | Current library | Call number | Copy number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|
| Book | City Campus City Campus Main Collection | 330.011 BAU (Browse shelf(Opens below)) | 1 | Available | A446172B | ||
| Book | City Campus City Campus Main Collection | 330.011 BAU (Browse shelf(Opens below)) | 1 | Available | A556704B | ||
| Book | City Campus City Campus Main Collection | 330.011 BAU (Browse shelf(Opens below)) | 1 | Available | A556703B |
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| 330.01 SEN Development as freedom. / | 330.01 STI For a new critique of political economy / | 330.01 TRU Trust / | 330.011 BAU An introduction to modern econometrics using Stata / | 330.011 BAU An introduction to modern econometrics using Stata / | 330.011 BAU An introduction to modern econometrics using Stata / | 330.0112 DAV Lessons from the future : making sense of a blurred world : from the world's leading futurist / |
Includes bibliographical references (pages 321-327) and index.
1. Introduction -- 2. Working with economic and financial data in Stata -- 3. Organizing and handling economic data -- 4. Linear regression -- 5. Specifying the functional form -- 6. Regression with non-i.i.d. errors -- 7. Regression with indicator variables -- 8. Instrumental-variables estimators -- 9. Panel-data models -- 10. Models of discrete and limited dependent variables -- A. Getting the data into Stata -- B. The basics of Stata programming.
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