An Introduction to Quantitative Economics Economics and Society Series Routledge Library Editions: Econometrics Series
Auteur : Haines Brian
Originally published in 1978. This book is designed to enable students on main courses in economics to comprehend literature which employs econometric techniques as a method of analysis, to use econometric techniques themselves to test hypotheses about economic relationships and to understand some of the difficulties involved in interpreting results. While the book is mainly aimed at second-year undergraduates undertaking courses in applied economics, its scope is sufficiently wide to take in students at postgraduate level who have no background in econometrics - it integrates fully the mathematical and statistical techniques used in econometrics with micro- and macroeconomic case studies.
Preface Part 1 1. Introduction to the Relationship between Variables 2. A Basic Revision of Statistical Concepts 3. The Principle of Ordinary Least Squares and Simple Regression Formulae 4. Nonlinear Relationships and Multiple Regression Part 2 5. A Breakdown of the Standard Assumptions made about the Error Term 6. Statistical Data, Distributed Lag Models and Dummy Variables 7. Empirical Studies in Macroeconomics 8. Structural Equations and the Identification Problem. Numerical Answers
Date de parution : 06-2019
13.8x21.6 cm
Date de parution : 03-2018
13.8x21.6 cm
Thème d’An Introduction to Quantitative Economics :
Mots-clés :
DW Statistic; OLS Method; Generating Error Terms; Vice Versa; Straight Line Demand Curve; Double Logarithmic Transformation; Minimum Variance Unbiased Estimators; OLS Estimator; Demand Pull Theories; Unobserved Error Term; Multiple Correlation Coefficient; Supply Equation; OLS Estimate; Demand Curve; Durbin Watson Statistic; TSLS Estimate; Dummy Variables; Reduced Form Equations; Correlation Coefficient Squared; Estimated Demand Curve; Money Wage Rates; OLS Formula; Unknown Error Terms; Serial Correlation; Demand Pull Hypothesis