| I haven't found any, either. This is a shame because economics is already a computational discipline and increasingly so. It can be of interest to the HN crowd. There is an awful lot of programming done by people that are not professional programmers. As an economist myself, I think code have become so central to our profession that we can no longer afford to ignore software engineering best practices. Conversely, there may be quite a few topics in computational economics that interest programmers. For instance, an awful lot of macroeconomics - including to an extent Romer's sub-field, endogenous growth theory - is essentially programming in Dynare [0] and doing computer simulations. Nordhaus got the prize for developing (quite basic, actually) simulation models that integrate the economic systems and environmental systems. See for instance there [1]. Micro-simulation is of course a big area where programming and economics meet - you can follow development on github [2, 3]. This is code that has an enormous impact on society, as it is used as a basis to evaluate the effects of policies. Econometrics, aka statistics for economics, is also a big area where programmers could contribute to economic research. There is a big push to adapt ML techniques to solve economists' problems, eg Athey's research [4]. [0] http://www.dynare.org/ [1] https://sites.google.com/site/williamdnordhaus/dice-rice [2] https://github.com/openfisca [3] https://github.com/InseeFr/Destinie-2 [4] https://arxiv.org/abs/1510.04342 |
I believe the NY Fed has open source economic models in Julia, too.