Skip to content

Commit 84de7d9

Browse files
committed
Update README.markdown
Added features-at-a-glance section to README.markdown
1 parent 6eb2501 commit 84de7d9

File tree

1 file changed

+18
-0
lines changed

1 file changed

+18
-0
lines changed

README.markdown

Lines changed: 18 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -42,6 +42,24 @@ the project (using Latex) as:
4242
}
4343
```
4444

45+
Features at a Glance
46+
--------------------
47+
* No “paper-and-pencil” linearization required, done automatically by parsing a DSGE model file.
48+
* Solutions based on *analytical* computation of Jacobian and Hessian of models using Sympycore.
49+
* DSGE models are Python DSGE class *instances*, treat them as if they were *ordinary data structures*, pass them around, copy them, stack them into arrays, and work with many of them simultaneously!
50+
* Loop over a DSGE model instance thousands of times to alter the parameter space, each time re-computing the solution.
51+
* Choose from closed form or non-linear steady state solvers or a combination of both. Many options provided for solving for a model's steady state.
52+
* Choose from a number of tried and tested perturbation methods, such as Klein’s 1st order accurate and Klein & Gomme’s 2nd order accurate methods.
53+
* If you have dynare++ installed on your computer, pymaclab provides a convenient wrapper/translation module to allow it to be used from inside pymaclab.
54+
* Solving models is as fast as using optimized compiled C or Fortran code, expensive computation of analytical Jacobian and Hessian employs parallelized multi-core CPU approach.
55+
* DSGE example models are provided, including very complex ones such as the one based on Christiano, Eichenbaum and Evans (2001) [9].
56+
* Benefit from a large and growing set of convenience methods to simulate models and plot filtered simulated series as well as impulse-response functions.
57+
* Carry out advanced empirical macroeconometric analyses using the VAR and FAVAR classes which come provided.
58+
* Use PyMacLab as a free Python library within a rich and rapidly evolving Python software ecosystem for scientists.
59+
* Enjoy the power, flexibility and extensibility of the Python programming language and the open-source transparency of PyMacLab. You can easily programm extension for pymaclab, you *cannot* for dynare!
60+
* PyMacLab is free as in freedom and distributed under a Apache 2.0 license.
61+
62+
4563

4664
Dependencies
4765
-------

0 commit comments

Comments
 (0)