Introductory econometrics : a modern approach / Jeffrey M. Wooldridge.
Material type:
TextPublication details: Cincinnati, OH : South-Western College, c2000.Description: xxiii, 824 p. : ill. ; 24 cmISBN: - 0538850132 (alk. paper)
- HB139 .W665 2000
| Cover image | Item type | Current library | Home library | Collection | Shelving location | Call number | Materials specified | Vol info | URL | Copy number | Status | Notes | Date due | Barcode | Item holds | Item hold queue priority | Course reserves | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Books
|
Methodist University Library Main General Stacks | Reference | HB139 .W665 2000 (Browse shelf(Opens below)) | 1 | Available | 11079 | ||||||||||||
|
Books
|
Methodist University Library Main General Stacks | Reference | HB139 .W665 2000 (Browse shelf(Opens below)) | 2 | Available | 11080 |
Browsing Methodist University Library Main shelves,Shelving location: General Stacks,Collection: Reference Close shelf browser (Hides shelf browser)
|
|
|
|
|
|
No cover image available | ||
| HB139 .M575 Econometric foundations / | HB139 .P34 1999 Nonparametric econometrics / | HB139 .W665 2000 Introductory econometrics : | HB139 .W665 2000 Introductory econometrics : | HB139 .Z1 Statistical foundations for econometric techniques / | HB145 Elements of regional economics./ | HB145 .S54 General equilibrium theory : an introduction/ |
Includes index.
Regression analysis with cross-sectional data: Simple regression model; Multiple regression analysis, estimation; Multiple regress analysis, inference; Multiple regression analysis, OLS asymptotics; Multiple regression analysis, further issues; Multiple regression analysis with qualitative information, binary (or dummy) variables; Heteroskedasticity; More on specification and data problems --
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 --
Advanced 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 --
Appendices: Basic mathematical tools; Fundamentals on probability; Fundamentals of mathematical statistics; Summary of matrix algebra; Linear regression model in matrix form; Answers to chapter questions; Statistical tables --
Glossary.
There are no comments on this title.