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The comparison between julia and python is apples to oranges. They have completely different architectures and performance characteristics. Julia uses JIT compilation to native machine code, which means that there is a big performance hit at startup, but after that it's quite efficient. Python is an interpreted language that was never designed for speed, and ...


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There are certainly cases where the performance differences between Python and Julia matter, but solving a simple DSGE model is not one of them. There have been some formal comparison exercises (e.g., Aruoba and Fernández-Villaverde 2015 and 2018 update). Coleman et al. 2020 also consider a NK model (see Table 4). The real gains are only found when ...


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