The Computer Journal
The elements of graphing data
The visual display of quantitative information
The visual display of quantitative information
Literate programming
On the accuracy of the statistical distributions in GAUSS
Computational Statistics & Data Analysis
Computational economics and finance: modeling and analysis with Mathematica
Computational economics and finance: modeling and analysis with Mathematica
The practice of programming
Making scientific computations reproducible
Computing in Science and Engineering
Numerical Computation, Volume I
Numerical Computation, Volume I
Visualizing Data
Economic and Financial Modeling with Mathematica
Economic and Financial Modeling with Mathematica
Handbook of Computational Economics
Handbook of Computational Economics
The Elements of Programming Style
The Elements of Programming Style
Understanding Open Source and Free Software Licensing
Understanding Open Source and Free Software Licensing
Handbook of Computational Economics, Volume 2: Agent-Based Computational Economics (Handbook of Computational Economics)
Should Economists Use Open Source Software for Doing Research?
Computational Economics
Short note: Py6S: A Python interface to the 6S radiative transfer model
Computers & Geosciences
A Data Restore Model for Reproducibility in Computational Statistics
Proceedings of the 13th International Conference on Knowledge Management and Knowledge Technologies
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Traditionally, computer and software applications have been used by economists to off-load otherwise complex or tedious tasks onto technology, freeing up time and intellect to address other, intellectually more rewarding, aspects of research. On the negative side, this increasing dependence on computers has resulted in research that has become increasingly difficult to replicate. In this paper, we propose some basic standards to improve the production and reporting of computational results in economics for the purpose of accuracy and reproducibility. In particular, we make recommendations on four aspects of the process: computational practice, published reporting, supporting documentation, and visualization. Also, we reflect on current developments in the practice of computing and visualization, such as integrated dynamic electronic documents, distributed computing systems, open source software, and their potential usefulness in making computational and empirical research in economics more easily reproducible.