pydsge#

A package for solving, filtering and estimating DSGE models with the ZLB (or other occasionally binding constraints).

A collection of models that can be (and were) used with this package can be found in another repo.

Installation#

Installing the stable version is as simple as typing

pip install pydsge

in your terminal (Linux/MacOS) or Anaconda Prompt (Win).

Documentation#

Documentation can be found on ReadTheDocs:

Citation#

pydsge is developed by Gregor Boehl to simulate, filter, and estimate DSGE models with the zero lower bound on nominal interest rates in various applications (see my website for research papers using the package). Please cite it with

@TechReport{boehl2022meth,
  title = {{Estimation of DSGE Models with the Effective Lower Bound}},
  author = {Boehl, Gregor and Strobel, Felix},
  year = 2022,
  type = {CRC 224 Discussion Papers},
  institution = {University of Bonn and University of Mannheim, Germany}
}

@techreport{boehl2022obc,
  title = Efficient solution and computation of models with occasionally binding constraints},
  author = Boehl, Gregor},
  journal = Journal of Economic Dynamics and Control},
  volume = 143},
  pages = 104523},
  year = 2022},
  publisher = Elsevier}
}

We appreciate citations for pydsge because it helps us to find out how people have been using the package and it motivates further work.

Parser#

The parser originally was a fork of Ed Herbst’s fork from Pablo Winant’s (excellent) package dolo.

See https://github.com/EconForge/dolo and https://github.com/eph.

pydsge