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

You will quickly master SAS applications for implementing and estimating standard models in the field of econometrics. This guide introduces you to the major theories underpinning applied demand and production economics. For each of its three main topics—demand, supply, and risk—a concise theoretical orientation leads directly into consideration of specific economic models and econometric techniques, collectively covering the following:

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.