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Though I'm glad to see more intro material for quantitative economics, I am a bit perplexed by the scope/emphasis of this text. For instance, here's how many t
by drcode 13y ago
Though I'm glad to see more intro material for quantitative economics, I am a bit perplexed by the scope/emphasis of this text.
For instance, here's how many times the following words appear in it:
Money : 0 mentions
Incentive(s) : 1 mention
Market(s) : 0 mentions
I'm no quantatative Economist, but in what way is this an economics text, as opposed to just an algorithms/modeling text?
(I'm not saying it ISN'T an economics text... I'm just hoping someone can genuinely answer my newbie question :-)
- squidfood 13y agoThis is more for already-economists who want to learn the Python toolchain for their work, I think. I do time series analysis (non-economic). So for example having a Kalman Filter python cookbook example is useful if I know the algorithms I want to use, but not the python libraries.
- joshwd 13y agocapital: 30 mentions investment: 5 mentions wages: 10 mentions I'd say the specific topics covered (macro questions like optimal savings, optimal taxation, etc) are what makes it an economics text, although you're right that much of the technical topics covered are applications of non-econ-specific algorithms and modeling techniques.
- RockyMcNuts 13y agoIt's written by economists? it teaches quantitative tools and methods and models used by economists? seems like pretty good stuff... but hey we can grep it and nitpick the title if we have nothing better to do.
- dimitar 13y agoSargent is associated with "freshwater" macroeconomics. They tend to be very rigorous to the point of dropping topics considered important by other economists from their models.