SAS/Ets User's Guide 93. Provides detailed reference material for using SAS/ETS software and guides you through the analysis and forecasting of features such as univariate and multivariate time series, cross-sectional time series, seasonal adjustments, multiequational nonlinear models, discrete choice models, limited dependent variable models, portfolio analysis, and generation of financial reports, with introductory and advanced examples for each procedure. You can also find complete information about two easy-to-use point-and-click applications: the Time Series Forecasting System, for automatic and interactive time series modeling and forecasting, and the Investment Analysis System, for time-value of money analysis of a variety of investments | 912 F Chapter 16 The LOAN Procedure Output Piggyback Loan Obs DATE PAYMENT INTEREST PWOFCOST BALANCE 1 JAN2007 2 JAN2012 3 JAN2017 Output Conventional Loan Obs DATE PAYMENT INTEREST PWOFCOST BALANCE 1 JAN2007 2 JAN2012 3 JAN2017 References DeGarmo . Sullivan . and Canada . 1984 Engineering Economy Seventh Edition New York Macmillan Publishing Company. Muksian R. 1984 Financial Mathematics Handbook Englewood Cliffs NJ Prentice-Hall. Newnan . 1988 Engineering Economic Analysis Third Edition San Jose CA Engineering Press. Riggs . and West . 1986 Essentials of Engineering Economics Second Edition New York McGraw-Hill. Chapter 17 The MDC Procedure Contents Overview MDC Procedure. 914 Getting Started MDC Procedure. 915 Conditional Logit Estimation and Prediction. 915 Nested Logit Modeling. 920 Multivariate Normal Utility Function. 924 HEV and Multinomial Probit Heteroscedastic Utility Function . 925 Parameter Heterogeneity Mixed Logit. 930 Syntax MDC Procedure. 932 Functional Summary. 932 PROC MDC Statement . 934 MDCDATA Statement. 934 BOUNDS Statement. 935 BY Statement . 936 CLASS Statement. 936 ID Statement. 936 MODEL Statement. 936 NEST Statement. 942 NLOPTIONS Statement. 945 OUTPUT Statement. 945 RESTRICT Statement. 946 TEST Statement. 947 UTILITY Statement. 948 Details MDC Procedure. 949 Multinomial Discrete Choice Modeling. 949 Multinomial Logit and Conditional Logit. 950 Heteroscedastic Extreme-Value Model . 952 Mixed Logit Model . 953 Multinomial Probit. 955 Nested Logit. 956 Decision Tree and Nested Logit. 958 Model Fit and Goodness-of-Fit Statistics. 961 Tests on Parameters . 962 OUTEST Data Set. 963 ODS Table Names. 964 914 F Chapter 17 The MDC Procedure Examples MDC Procedure . 965 Example Binary Data
