Metadata-Version: 1.1
Name: ezclimate
Version: 1.2.1b1
Summary: EZ-Climate model
Home-page: http://github.com/Litterman/EZClimate
Author: Robert Litterman, Kent Daniel, Gernot Wagner
Author-email: UNKNOWN
License: MIT
Description: EZ-Climate
        ==========
        
        EZ-Climate is a model for pricing carbon dioxide emission. It explores
        the implications of these richer preference specifications for the
        optimal carbon dioxide price. We develop the EZ-Climate model, a simple
        discrete-time model in which the representative agent has an Epstein-Zin
        preference specification, and in which uncertainty about the effect of
        carbon dioxide emissions on global temperature and on eventual damages
        is gradually resolved over time. In the EZ-Climate model the optimal
        price is equal to the price of one ton of carbon dioxide emitted at any
        given point in time that maximizes the utility of the representative
        agent at that time. We embed a number of features including tail risk,
        the potential for technological change, and backstop technologies. In
        contrast to most modeled carbon price paths, the EZ-Climate model
        suggests a high optimal carbon price today that is expected to decline
        over time. It also points to the importance of backstop technologies and
        to potentially very large.
        
        Downloads
        ---------
        
        You can find the most recent releases at:
        https://pypi.python.org/pypi/ezclimate/.
        
        Documentation
        -------------
        
        See the `EZ-Climate User's
        Guide <https://oscarsjogren.github.io/dlw/>`__ for EZ-Climate
        documentation.
        
        In order to get the tip documentation, change directory to the ``doc``
        subfolder and type in ``make html``, the documentation will be under
        ``../../ez_climate_docs/html``. You will need
        `Sphinx <http://sphinx.pocoo.org>`__ to build the documentation.
        
        Installation
        ------------
        
        We encourage you to use pip to install ezclimate on your system.
        
        .. code:: bash
        
            pip install ezclimate
        
        If you wish to build from sources, download or clone the repository.
        
        .. code:: bash
        
            python setup.py install
        
        Requirements
        ------------
        
        EZ-Climate is compatible with Python 2 and 3.
        `Numpy <http://www.numpy.org/>`__ is required, and we recommend
        `matplotlib <http://www.matplotlib.org/>`__ for visualization of
        results.
        
        Authors
        -------
        
        -  Robert Litterman
        -  Kent Daniel
        -  Gernot Wagner
        
Keywords: EZ-climate,social cost of carbon,SCC,climate pricing
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.4
