A textbook for a one-semester course for advanced undergraduate and graduate students in economics. Covers regression techniques in the context of single equation econometric models, featuring MINITAB and SHAZAM software examples for attacking real-world problems. Annotation copyright Book News, Inc
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First Sentence:
The study of regression analysis in an economic context is concerned with the formulation and uses of models of economic relationships. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
correlated with other predictor variables, absolute income hypothesis, relative income hypothesis, pure error sum, regressor variables, adaptive expectations hypothesis, unconstrained regression, lag distribution, lagged consumption, stochastic regressors, unconstrained model, simple regression model, inflation variable, residual sum, marginal propensity, average propensity, permanent income hypothesis, transformed model Key Phrases - Capitalized Phrases (CAPs): (learn more)
Predictor Coef Stdev, Chow's F-test, Analvsis of Variance, Predictor Coef Constant New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
The study of regression analysis in an economic context is concerned with the formulation and uses of models of economic relationships. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
correlated with other predictor variables, absolute income hypothesis, relative income hypothesis, pure error sum, regressor variables, adaptive expectations hypothesis, unconstrained regression, lag distribution, lagged consumption, stochastic regressors, unconstrained model, simple regression model, inflation variable, residual sum, marginal propensity, average propensity, permanent income hypothesis, transformed model Key Phrases - Capitalized Phrases (CAPs): (learn more)
Predictor Coef Stdev, Chow's F-test, Analvsis of Variance, Predictor Coef Constant New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 95
books:
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66
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- Randomization Tests (Statistics: A Series of Textbooks and Monographs) by Eugene Edgington in Front Matter (1), and Front Matter (2)
- Statistical Methods for Engineers and Scientists (Statistics: A Series of Textbooks and Monographs) by Robert M. Bethea in Front Matter (1), and Front Matter (2)
- Design of Experiments (Statistics: A Series of Textbooks and Monographs) by Virgil L. Anderson in Front Matter (1), and Front Matter (2)
- Statistical Computing (Statistics: A Series of Textbooks and Monographs) by Kennedy in Front Matter (1), and Front Matter (2)
- Lognormal Distributions (Statistics: A Series of Textbooks and Monographs) by Crow in Front Matter
See all 95 books this book cites
- Learning and Practicing Econometrics by William E. Griffiths on 4 pages
- Drug Safety Assessment in Clinical Trials (Statistics: A Series of Textbooks and Monographs) by Gilbert in Front Matter, and Back Matter
- Role of the Auditor General in Public Accountability - Some Issues by Bronwynn Adamson Nosworthy on page 71, and Back Matter
- Applied Engineering Statistics (Statistics: A Series of Textbooks and Monographs) by Robert M. Bethea in Front Matter
- Item Response Theory: Parameter Estimation Techniques, Second Edition (Statistics: A Series of Textbooks and Monographs) by Frank B. Baker in Front Matter
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