Introductory econometrics : a modern approach / Jeffrey M. Wooldridge.

By: Material type: TextTextBoston, MA : Cengage, [2020];ΓäùΓÖ¡2020Description: xxii, 826 pages : illustrations, charts 27 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 1337558869;9781337558860
Subject(s): LOC classification:
  • HB 139 .W882 2020
Contents:
Advanced panel data methods
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.
Further issues in using OLS with time series data
Heteroskedasticity
Instrumental variables estimation and two-stage least squares
Limited dependent variable models and sample selection corrections
More on specification and data issues -- Regression analysis with time series data. Basic regression analysis with time series data
Multiple regression analysis : estimation
Multiple regression analysis : inference
Multiple regression analysis : OLS asymptotics
Multiple regression analysis with qualitative information
Multiple regression analysis: further issues
Serial correlation and heteroskedasticity in time series regressions -- Advances topics. Pooling cross sections across time : simple panel data methods
Simultaneous equations models
The nature of econometrics and economic date -- Regression analysis with cross-sectional data. The simple regression model
Summary: Gain an understanding of how econometrics can answer today's questions in business, policy evaluation and forecasting with Wooldridge's INTRODUCTORY ECONOMETRICS: A MODERN APPROACH, 7E. Unlike traditional texts, this book's practical, yet professional, approach demonstrates how econometrics has moved beyond a set of abstract tools to become genuinely useful for answering questions across a variety of disciplines. 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. --Amazon.com
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Print year: 2019 (page ii.

Includes bibliographical references (pages 791-796) and index

Advanced panel data methods

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.

Further issues in using OLS with time series data

Heteroskedasticity

Instrumental variables estimation and two-stage least squares

Limited dependent variable models and sample selection corrections

More on specification and data issues -- Regression analysis with time series data. Basic regression analysis with time series data

Multiple regression analysis : estimation

Multiple regression analysis : inference

Multiple regression analysis : OLS asymptotics

Multiple regression analysis with qualitative information

Multiple regression analysis: further issues

Serial correlation and heteroskedasticity in time series regressions -- Advances topics. Pooling cross sections across time : simple panel data methods

Simultaneous equations models

The nature of econometrics and economic date -- Regression analysis with cross-sectional data. The simple regression model

Gain an understanding of how econometrics can answer today's questions in business, policy evaluation and forecasting with Wooldridge's INTRODUCTORY ECONOMETRICS: A MODERN APPROACH, 7E. Unlike traditional texts, this book's practical, yet professional, approach demonstrates how econometrics has moved beyond a set of abstract tools to become genuinely useful for answering questions across a variety of disciplines. 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. --Amazon.com

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