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Develop a user written Data Envelopment Analysis package in Stata.
The goal of this project is to develop a Data Envelopment Analysis(DEA) program using Stata programming language. This is the replacement of "deastata" project that we maintained for the purpose of version management.
We call the program package "DEAS" which stands for Data Envelopment Analysis using Stata.
DEAS covers the basic models of DEA and extensions including CCR, BCC, SBM, Super-efficiency Model, Allocative Model(Profit, Revenue, Cost), (Global) Malmquist Productivity Index...
Automatic Time Series Analysis with Stationary VAR Models
LDT is designed for automatic time-series analysis.
Current version focuses on stationary vector autoregressive models (VAR) and the related analyses such as forecasting and Granger causality.
See the following paper for an application:
See http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2818213