Introductory Econometrics A MODERN APPROACH
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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Main Author: | |
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Format: | Book |
Language: | English |
Published: |
Boston, MA
Cengage Learning
2020
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Edition: | Seventh Edition |
Subjects: | |
Online Access: | Click Here to View Status and Holdings. |
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001 | wils-936071 | ||
005 | 2019114115239 | ||
008 | 200616t20162020XXU af# ##001 |deng#D | ||
020 | # | # | |a 9781337558860 |q hardback |
040 | # | # | |a OSU |d UiTM |e rda |
090 | 0 | 0 | |a HB139 |b .W66 2020 |
100 | 1 | # | |a Wooldridge, Jeffrey M. |e author |
245 | 1 | 0 | |a Introductory Econometrics |b A MODERN APPROACH |c Jeffrey M. Wooldridge |
250 | # | # | |a Seventh Edition |
264 | # | 1 | |a Boston, MA |b Cengage Learning |c 2020 |
264 | # | 4 | |c ©2020 |
300 | # | # | |a xxii, 826 pages |b illustrations |c 26 cm |
336 | # | # | |a text |2 rdacontent |
337 | # | # | |a unmediated |2 rdamedia |
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. |
526 | 0 | # | |a CS771 |b QMT733 |5 CS |
526 | 0 | # | |a SARJANA SAINS KUANTITATIF |b Applied Econometrics |5 FAKULTI SAINS KOMPUTER DAN MATEMATIK |
650 | # | 0 | |a Econometrics |
856 | 4 | 0 | |z Click Here to View Status and Holdings. |u https://opac.uitm.edu.my/opac/detailsPage/detailsHome.jsp?tid=936071 |