Introductory econometrics : a modern approach / Jeff M. Wooldridge, Michigan State University
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TextPublication details: Boston, MA, Cengage Learning, : 2020. Edition: 7th edDescription: xxii, 826 pages, : ill. 26 cmISBN: 9781337558860Subject(s): EconometricsDDC classification: 330.015195 WOO
| Item type | Current library | Home library | Call number | Status | Date due | Barcode | Item holds |
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English Lending
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Villa College QI Campus | Villa College Library | 330.015195 WOO (Browse shelf(Opens below)) | Available | 16097 | ||
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English Lending
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Villa College QI Campus | Villa College Library | 330.015195 WOO (Browse shelf(Opens below)) | Available | 16096 | ||
|
English Lending
|
Villa College QI Campus | Villa College Library | 330.015195 WOO (Browse shelf(Opens below)) | Available | 16098 |
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| 330.015195 SIL Economic modeling in the post great recession era : incomplete data, imperfect markets / | 330.015195 WOO Introductory econometrics : a modern approach / | 330.015195 WOO Introductory econometrics : a modern approach / | 330.015195 WOO Introductory econometrics : a modern approach / | 330.03 AZE A-Z economics and business handbook / | 330.03 BAN Dictionary of economics / | 330.03 BAN The Penguin dictionary of economics / |
Contents Include:
Chapter 1 The nature of econometrics and economic date
Part 1: Regression analysis with cross-sectional data
Chapter 2 The simple regression model
Chapter 3 Multiple regression analysis : estimation
Chapter 4 Multiple regression analysis : inference
Chapter 5 Multiple regression analysis : OLS asymptotics
Chapter 6 Multiple regression analysis : further issues
Chapter 7 Multiple regression analysis with qualitative information
Chapter 8 Heteroskedasticity
Chapter 9 More on specification and data issues
Part 2: Regression analysis with time series data.
Chapter 10 Basic regression analysis with time series data
Chapter 11 Further issues in using OLS with time series data
Chapter 12 Serial correlation and heteroskedasticity in time series regressions
Part 3: Advanced topics
Chapter 13 Pooling cross sections across time : simple panel data methods
Chapter 14 Advanced panel data methods
Chapter 15 Instrumental variables estimation and two-stage least squares
Chapter 16 Simultaneous equations models
Chapter 17 Limited dependent variable models and sample selection corrections
Chapter 18 Advanced time series topics
Chapter 19 Carrying out an empirical project
Includes bibliographical references and index
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