Applied Econometrics with SAS: Modeling Demand, Supply, and Risk

• Double-log demand systems
• Linear expenditure systems
• Almost ideal demand systems
• Rotterdam models
• Random parameters logit demand models
• Frequency-severity models
• Compound distribution models
• Cobb-Douglas production functions
• Translogarithmic cost functions
• Generalized Leontief cost functions
• Density estimation techniques
• Copula models

SAS procedures that facilitate estimation of demand, supply, and risk models include the following, among others:

• PROC MODEL
• PROC COPULA
• PROC SEVERITY
• PROC KDE
• PROC LOGISTIC
• PROC HPCDM
• PROC IML
• PROC REG
• PROC COUNTREG
• PROC QLIM

An empirical example, SAS programming code, and a complete data set accompany each econometric model, empowering you to practice these techniques while reading. Examples are drawn from both major scholarly studies and business applications so that professors, graduate students, government economic researchers, agricultural analysts, actuaries, and underwriters, among others, will immediately benefit.

This book is part of the SAS Press program.