Snowdrop: Python Package for DSGE Modeling

At its core, Snowdrop is a versatile Python package designed for the analysis of macroeconomic Dynamic Stochastic General Equilibrium (DSGE ) models.These DSGE models form a class of macroeconomic frameworks that elucidate the economy's behavior by considering the intertemporal decisions made by economic agents, including households, firms, and the government.Snowdrop package provides an extensive framework for studying various related economic models, including New Keynesian models, Real Business Cycle models, Gap models, and Overlapping Generations models.Snowdrop equips researchers with essential tools to address the fundamental requirements of these models, encompassing estimation, simulation, and forecasting processes.In particular, the package employs robust and efficient solution techniques to solve both linear and nonlinear perfect foresight models based on the rational expectations hypothesis, which is critical for many DSGE models.

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Publication Details

Journal
The Journal of Open Source Software
Published
2025-08-15
DOI
https://doi.org/10.21105/joss.08197
Primary Topic
Energy Load and Power Forecasting
Type
article
Field-Weighted Citation Impact
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article

Snowdrop: Python Package for DSGE Modeling

James Otterson, Alexei Goumilevski
5 links
The Journal of Open Source Software
Energy Load and Power Forecasting
article

Snowdrop: Python Package for DSGE Modeling

James Otterson, Alexei Goumilevski
article en

Abstract

At its core, Snowdrop is a versatile Python package designed for the analysis of macroeconomic Dynamic Stochastic General Equilibrium (DSGE ) models.These DSGE models form a class of macroeconomic frameworks that elucidate the economy's behavior by considering the intertemporal decisions made by economic agents, including households, firms, and the government.Snowdrop package provides an extensive framework for studying various related economic models, including New Keynesian models, Real Business Cycle models, Gap models, and Overlapping Generations models.Snowdrop equips researchers with essential tools to address the fundamental requirements of these models, encompassing estimation, simulation, and forecasting processes.In particular, the package employs robust and efficient solution techniques to solve both linear and nonlinear perfect foresight models based on the rational expectations hypothesis, which is critical for many DSGE models.

The Journal of Open Source SoftwareVol. 10(112)
International Monetary Fund (US)
Openalex Percentile: Top 80%
Energy Load and Power Forecasting
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