References#
Alan J. Auerbach and Laurence J. Kotlikoff. An examination of empirical tests of Social Security and savings. In Elhanan Helpman, Assaf Razin, and Efraim Sadka, editors, Social Policy Evaluation: An Economic Perspective, chapter Chap. 8, pages pp. 161–179. Academic Press, 1983.
Alan J. Auerbach and Laurence J. Kotlikoff. Investment versus savings incentives: the size of the bang for the buck and the potential for self-financing business tax cuts. In Lawrence. H. Meyer, editor, The Economic Consequences of Government Deficits, Economic Policy Conference Series, chapter Chap. 4, pages pp. 121–149. Kluwer-Nijhoff Publishing, 1983.
Alan J. Auerbach and Laurence J. Kotlikoff. National savings, economic welfare, and the structure of taxation. In Martin Feldstein, editor, Behavioral Simulation Methods in Tax Policy Analysis, chapter Chap. 13, pages pp. 459–498. University of Chicago Press, 1983.
Alan J. Auerbach and Laurence J. Kotlikoff. Simulating alternative Social Security responses to the demographic transition. National Tax Journal, 38(2):153–168, June 1985.
Alan J. Auerbach, Laurence J. Kotlikoff, and Jonathan Skinner. The efficiency gains from dynamic tax reform. NBER Working Paper 819, National Bureau of Economic Research, December 1981.
Alan J. Auerbach, Laurence J. Kotlikoff, and Jonathan Skinner. The efficiency gains from dynamic tax reform. International Economic Review, 24(1):81–100, February 1983.
William A. Brock and Leonard J. Mirman. Optimal economic growth and uncertainty: the discounted case. Journal of Economic Theory, 4(3):479–513, June 1972.
Richard W. Evans and Kerk L. Phillips. Advantages of an ellipse when modeling leisure utility. Computational Economics, 51(3):513–533, March 2017.
Lex Fridman. Travis oliphant: numpy, scipy, anaconda, python and scientific programming. Podcast #224, Lex Fridman Podcast, September 22 2021. URL: https://youtu.be/gFEE3w7F0ww?si=XKcRlcw7FXkA9oxB.
David Goodger and Guido van Rossum. Pep 257–Docstring conventions. Python Enhancement Proposal 257, Python Steering Council, May 29 2001. URL: https://peps.python.org/pep-0257.
Jeffrey Humpherys and Tyler J. Jarvis. Foundations of Applied Mathematics: Algorithms, Approximation, Optimization. Volume 2. SIAM, Society for Industrial and Applied Mathematics, 2020.
Kenneth L. Judd. Numerical Methods in Economics. MIT Press, 1998.
James Mertz. Documenting python code: a complete guide. Tutorial, RealPython, 2023. [Online; accessed 08-October-2023]. URL: https://realpython.com/documenting-python-code/.
Jack Wallen. Github to replace master with main starting in october: what developers need to do now. Technical Report, TechRepublic, September 22 2020. URL: https://www.techrepublic.com/article/github-to-replace-master-with-main-starting-in-october-what-developers-need-to-know/.
BYU ACME. Advanced numpy. In BYU ACME 2023-2024 Incoming Senior Materials, chapter 1. 2023. URL: https://acme.byu.edu/2023-2024-materials.
BYU ACME. Animations and 3d plotting in matplotlib. In BYU ACME 2023-2024 Incoming Senior Materials, chapter 5. 2023. URL: https://acme.byu.edu/2023-2024-materials.
BYU ACME. Exceptions and file input/output. In BYU ACME 2023-2024 Incoming Junior Materials, chapter 7. 2023. URL: https://acme.byu.edu/2023-2024-materials.
BYU ACME. Introduction to matplotlib. In BYU ACME 2023-2024 Incoming Junior Materials, chapter 6. 2023. URL: https://acme.byu.edu/2023-2024-materials.
BYU ACME. Introduction to numpy. In BYU ACME 2023-2024 Incoming Junior Materials, chapter 4. 2023. URL: https://acme.byu.edu/2023-2024-materials.
BYU ACME. Introduction to python. In BYU ACME 2023-2024 Incoming Junior Materials, chapter 2. 2023. URL: https://acme.byu.edu/2023-2024-materials.
BYU ACME. Object-oriented programming. In BYU ACME 2023-2024 Incoming Junior Materials, chapter 5. 2023. URL: https://acme.byu.edu/2023-2024-materials.
BYU ACME. Pandas 1: introduction. In BYU ACME 2023-2024 Incoming Senior Materials, chapter 2. 2023. URL: https://acme.byu.edu/2023-2024-materials.
BYU ACME. Pandas 2: plotting. In BYU ACME 2023-2024 Incoming Senior Materials, chapter 3. 2023. URL: https://acme.byu.edu/2023-2024-materials.
BYU ACME. Pandas 3: grouping. In BYU ACME 2023-2024 Incoming Senior Materials, chapter 4. 2023. URL: https://acme.byu.edu/2023-2024-materials.
BYU ACME. Standard library. In BYU ACME 2023-2024 Incoming Junior Materials, chapter 3. 2023. URL: https://acme.byu.edu/2023-2024-materials.
BYU ACME. Unit testing. In BYU ACME 2023-2024 Incoming Junior Materials, chapter 8. 2023. URL: https://acme.byu.edu/2023-2024-materials.
BYU ACME. Unix shell 1: introduction. In BYU ACME 2023-2024 Incoming Junior Materials, chapter 1. 2023. URL: https://acme.byu.edu/2023-2024-materials.
Guido van Rossum, Barry Warsaw, and Nick Coghlan. Pep 8–Style guide for python code. Python Enhancement Proposal 8, Python Steering Council, July 5 2001. URL: https://peps.python.org/pep-0008.
Wikipedia Contributors. "Git". Wikipedia, The Free Encyclopedia, 2020. [Online; accessed 19-August-2020]. URL: https://en.wikipedia.org/wiki/Git.
Wikipedia Contributors. "Integrated development environment". Wikipedia, The Free Encyclopedia, 2020. [Online; accessed 3-August-2020]. URL: https://en.wikipedia.org/wiki/Integrated_development_environment.
Wikipedia Contributors. "Taxonomic rank". Wikipedia, The Free Encyclopedia, 2023. [Online; accessed 04-October-2023]. URL: https://en.wikipedia.org/wiki/Taxonomic_rank.
Wikipedia Contributors. "Travis Oliphant". Wikipedia, The Free Encyclopedia, 2023. [Online; accessed 5-October-2023]. URL: https://en.wikipedia.org/wiki/Travis_Oliphant.
Wikipedia Contributors. "pandas (software)". Wikipedia, The Free Encyclopedia, 2023. [Online; accessed 5-October-2023]. URL: https://en.wikipedia.org/wiki/Pandas_(software).