Questions tagged [python]
Python is an interpreted and general-purpose programming language
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Leave-one-out mean removal stringency histogram
I am trying to construct the kind of histogram described here (https://blogs.worldbank.org/impactevaluations/judge-leniency-iv-designs-now-not-just-crime-studies). I don't really feel like my code is ...
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confidence interval for standard deviation of bitcoin price
I am actually doing some research on bitcoin for my bachelor thesis. I have daily data on the price of bitcoin from here. I calculated with python:
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Product Space and Drilling Down details about manufacturers, production volume etc
I'm interested in exploring the product space by Cesar Hidalgo's team in more detail. For instance, if I were to model the product space of Argentina, how can I understand the general landscape of ...
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Can the Mahalanobis distance measure ( as defined by Bloom, Schankerman, Reenen Econometrica 2013) between a firm and itself be greater than 1?
I am currently working on estimating a Knowledge Proximity measures for firms and wanted to replicate the Mahalanobis distance measure discussed in Appendix C.2 of Bloom, Schankerman, and Van Reenen (...
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Does julia's speed advantage over python make any difference for DSGE modeling?
When compared to Python the main selling point of Julia is its speed as it is often argued. However, from my own personal experience I never noticed any significant difference in speed between Julia ...
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Opportunities for Computer Science Graduates in the Field of Economics [closed]
I know this question has been asked quite a few times already but I have several other different questions to ask too. So, I am asking all of them here.
Let me give you a quick summary of my ...
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Solving Rational Expectation Models Linear vs. Nonlinear
Since I am coding some linear New Keynesian models in python and solving them under rational expectations (using the method of undetermined coefficients/linear time iteration), I was wondering whether ...
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Cost-optimal p2p-trade in a community of households
I’m trying to solve the following problem and I’ve been working on it for a long time already:
I want to optimize electricity-costs in a smart grid. There’s producer and consumer households in the ...
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Python vs R (vs Stata): the old battle revisited
I am an avid Python user. I know Stata but I'm not a pro. I don't know R. I do econometrics (mostly time series, but also cross-section and panel), and statistics, and Python seems quite sufficient in ...
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ROI and stock rates
I'm an engineer with minimal to zero knowledge about economical topics, please be patient with me if the following question makes no sense or is too basic ...
Currently I'm working through the "...
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oTree: How to have unequal groups sizes, with agents ocasionally sitting out rounds
I'm designing an experiment that investigates the result of different groups sizes on the outcomes of Nash Demand games.
I already programmed this experiment once in zTree, where we then conducted ...
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Outputting Regressions as Table in Python (similar to outreg in stata)?
Anyone know of a way to get multiple regression outputs (not multivariate regression, literally multiple regressions) in a table indicating which different independent variables were used and what the ...
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Code finding all stable matchings in one-to-one problem
Do you know of any publicly available code in python or R (or any other free high level language) that returns all the stable matchings for any one-to-one matching problem?
Note: This is related but ...
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Python package for discrete preferences
Do you know of a package allowing to create objects representing agents with (strict) preferences over (a finite set of) discrete objects $A,B,C,…$, and profiles thereof.
A minimal requirement would ...
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Computing Boston and TTC in Python
This is somewhat of a follow up question to Available code for computing solutions to matching algorithms?.
In the above question, I got great answers, but all of them were for ...
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