348 pages
1 Introduction 1
2 Regression using MATLAB 5
3 Utility Functions
4 Regression Diagnostics
5 VAR and Error Correction Models
6 Markov Chain Monte Carlo Models
7 Limited Dependent Variable Models
8 Simultaneous Equation Models
9 Distribution functions library
10 Optimization functions library
11 Handling sparse matrices