Introductory Econometrics A MODERN APPROACH

Introductory Econometrics A MODERN APPROACH

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The author has organized the book's presentation around the type of data being analyzed with a systematic approach that only introduces assumptions as they are needed. This makes the material easier to understand and, ultimately, leads to better econometric practices. Packed with relevant appli...

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Bibliographic Details
Main Author: Wooldridge, Jeffrey M. (Author)
Format: Book
Language:English
Published: Boston, MA Cengage Learning 2020
Edition:Seventh Edition
Subjects:
Econometrics
Online Access:Click Here to View Status and Holdings.
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245 1 0 |a Introductory Econometrics  |b A MODERN APPROACH  |c Jeffrey M. Wooldridge 
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264 # 4 |c ©2020 
300 # # |a xxii, 826 pages  |b illustrations  |c 26 cm 
336 # # |a text  |2 rdacontent 
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338 # # |a volume  |2 rdacarrier 
504 # # |a Includes bibliographical references and index 
505 0 # |a The nature of econometrics and economic date -- Regression analysis with cross-sectional data. The simple regression model ; Multiple regression analysis : estimation ; Multiple regression analysis : inference ; Multiple regression analysis : OLS asymptotics ; Multiple regression analysis: further issues ; Multiple regression analysis with qualitative information ; Heteroskedasticity ; More on specification and data issues -- Regression analysis with time series data. Basic regression analysis with time series data ; Further issues in using OLS with time series data ; Serial correlation and heteroskedasticity in time series regressions -- Advances topics. Pooling cross sections across time : simple panel data methods ; Advanced panel data methods ; Instrumental variables estimation and two-stage least squares ; Simultaneous equations models ; Limited dependent variable models and sample selection corrections ; Advanced time series topics ; Carrying out an empirical project -- Math refresher A, basic mathematical tools -- Math refresher B, fundamentals of probability -- Math refresher C, fundamentals of mathematical statistics -- Advanced treatment D, summary of matrix algebra -- Advanced treatment D, the linear regression model in matrix form 
520 # # |a The author has organized the book's presentation around the type of data being analyzed with a systematic approach that only introduces assumptions as they are needed. This makes the material easier to understand and, ultimately, leads to better econometric practices. Packed with relevant applications, the text incorporates more than 100 data sets in different formats. Updates introduce the latest developments in the field, including the recent advances in the so-called "causal effects" or "treatment effects," to provide a complete understanding of the impact and importance of econometrics today. 
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650 # 0 |a Econometrics 
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