Basic Econometrics
Damodar Gujarati(Author)
McGraw-Hill Professional (Publisher)
Published in September 1995
Book
Paperback/Softback
849 pages
978-0-07-113964-9 (ISBN)
Article exhausted; check for reprint
Description
This is a thorough revision of the undergraduate "Econometrics" text. Accessible, complete, and student-oriented, "Basic Econometrics" is appropriate for first courses in econometrics at four-year colleges and universities. In addition to the text, students have access to the SHAZY student version of SHAZAM, an inexpensive version of a widely used econometrics package, as well as data sets (free on adoption to instructors) for problem and example material in the text.
More details
Series
Language
English
Place of publication
United States
Publishing group
McGraw-Hill Education - Europe
Target group
College/higher education
Adult education
Illustrations
illustrations
Dimensions
Height: 230 mm
Weight
1040 gr
ISBN-13
978-0-07-113964-9 (9780071139649)
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Schweitzer Classification
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New editions

Damodar Gujarati
Basic Econometrics: AND Software Disk Package
Book
02/2001
4th Edition
McGraw-Hill Publishing Co.
€55.59
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Content
The nature of regression analysis; two-variable regression analysis - some basic ideas; two variable regression model - the problem of estimation; the normality assumption - classical normal linear regression model; two-variable regression - interval estimation and hypothesis testing; extensions of the two-variable linear regression model; multiple regression analysis - the problem of estimation; multiple regression analysis - the problem of inference; the matrix approach to linear regression model; multicollinearity and micronumerosity. heteroscedasticity; autocorrelation; econometric modelling I - traditional econometric methodology; econometric modelling II - alternative econometric methodologies; regression on dummy variables; regression on dummy dependent variable - the LPM introduction; descriptive statistics; probability and probability distributions; statistical inference - estimation; statistical inference - testing hypotheses; examination; simple regression analysis; multiple regression analysis; further techniques and applications in regression analysis; problems in regression analysis; simultaneous-equations methods; examination.