Introduction to Quantitative Economics
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A01=Brian Haines
applied econometric case studies
applied economics
Author_Brian Haines
Category=KCH
Correlation Coefficient Squared
Demand Curve
Demand Pull Hypothesis
Demand Pull Theories
Distributed Lag
distributed lag models
Double Logarithmic Transformation
dummy variables
Durbin Watson Statistic
DW Statistic
econometric analysis
econometric modelling
econometric techniques
econometrics
economic statistics
eq_bestseller
eq_business-finance-law
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Estimated Demand Curve
Generating Error Terms
identification problem
Macroeconomics
Minimum Variance Unbiased Estimators
Money Wage Rates
Multiple Correlation Coefficient
non-linear Regression
Nonlinear Relationships
OLS Estimate
OLS Estimator
OLS Formula
OLS Method
Reduced Form Equations
regression analysis
Regression Formulae
Serial Correlation
statistical inference
Straight Line Demand Curve
Supply Equation
TSLS Estimate
Unknown Error Terms
Unobserved Error Term
Vice Versa
Product details
- ISBN 9780815350224
- Weight: 470g
- Dimensions: 138 x 216mm
- Publication Date: 06 Mar 2018
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
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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.
