Bibliography#

[HHG20]

Allison Marie Horst, Alison Presmanes Hill, and Kristen B Gorman. Palmerpenguins: palmer archipelago (antarctica) penguin data. R package version 0.1.0, 2020.

[BW18]

Karl W Broman and Kara H Woo. Data organization in spreadsheets. The American Statistician, 72(1):2–10, 2018.

[AAA+19]

Kazunori Akiyama, Antxon Alberdi, Walter Alef, Keiichi Asada, Rebecca Azulay, Anne-Kathrin Baczko, David Ball, Mislav Baloković, John Barrett, Dan Bintley, and others. First m87 event horizon telescope results. iv. imaging the central supermassive black hole. The Astrophysical Journal Letters, 875(1):L4, 2019.

[NunezAR18]

Jamie R Nuñez, Christopher R Anderton, and Ryan S Renslow. Optimizing colormaps with consideration for color vision deficiency to enable accurate interpretation of scientific data. PloS one, 13(7):e0199239, 2018.

[AAA+16]

Benjamin P Abbott, Richard Abbott, TD Abbott, MR Abernathy, Fausto Acernese, Kendall Ackley, Carl Adams, Thomas Adams, Paolo Addesso, RX Adhikari, and others. Observation of gravitational waves from a binary black hole merger. Physical review letters, 116(6):061102, 2016.

[Rou21]

Nicolas Rougier. Scientific Visualization: Python + Matplotlib. HAL Open Science, 2021.

[Hun07]

John D Hunter. Matplotlib: a 2d graphics environment. Computing in science & engineering, 9(03):90–95, 2007.

[Val18]

Raphael Vallat. Pingouin: statistics in python. Journal of Open Source Software, 3(31):1026, 2018.

[DBCR12]

David M Diez, Christopher D Barr, and Mine Cetinkaya-Rundel. OpenIntro statistics. OpenIntro, 2012.

[BW20]

Marc F Bellemare and Casey J Wichman. Elasticities and the inverse hyperbolic sine transformation. Oxford Bulletin of Economics and Statistics, 82(1):50–61, 2020.

[BSorensen13]

Hatice Ozer Balli and Bent E Sørensen. Interaction effects in econometrics. Empirical Economics, 45(1):583–603, 2013.

[LHojsgaardSorensen99]

Charlotte Lauridsen, Søren Højsgaard, and Martin Tang Sørensen. Influence of dietary rapeseed oil, vitamin e, and copper on the performance and the antioxidative and oxidative status of pigs. Journal of animal science, 77(4):906–916, 1999.

[KH01]

Roger Koenker and Kevin F Hallock. Quantile regression. Journal of economic perspectives, 15(4):143–156, 2001.

[CCFF19]

Matias D Cattaneo, Richard K Crump, Max H Farrell, and Yingjie Feng. On binscatter. arXiv preprint arXiv:1902.09608, 2019.

[SUM+18]

Raphael Silberzahn, Eric L Uhlmann, Daniel P Martin, Pasquale Anselmi, Frederik Aust, Eli Awtrey, Štěpán Bahník, Feng Bai, Colin Bannard, Evelina Bonnier, and others. Many analysts, one data set: making transparent how variations in analytic choices affect results. Advances in Methods and Practices in Psychological Science, 1(3):337–356, 2018.

[SSN20]

Uri Simonsohn, Joseph P Simmons, and Leif D Nelson. Specification curve analysis. Nature Human Behaviour, 4(11):1208–1214, 2020.

[OP19]

Amy Orben and Andrew K Przybylski. The association between adolescent well-being and digital technology use. Nature Human Behaviour, 3(2):173–182, 2019.

[vdSDK+21]

Rens van de Schoot, Sarah Depaoli, Ruth King, Bianca Kramer, Kaspar Märtens, Mahlet G Tadesse, Marina Vannucci, Andrew Gelman, Duco Veen, Joukje Willemsen, and others. Bayesian statistics and modelling. Nature Reviews Methods Primers, 1(1):1–26, 2021.

[RK16]

Reuven Y Rubinstein and Dirk P Kroese. Simulation and the Monte Carlo method. Volume 10. John Wiley & Sons, 2016.

[Bie01]

Alex F Bielajew. Fundamentals of the Monte Carlo method for neutral and charged particle transport. Volume 1. The University of Michigan, 2001.

[Bet18]

Michael Betancourt. A conceptual introduction to hamiltonian monte carlo. arXiv, 2018.

[SWF16]

John Salvatier, Thomas V Wiecki, and Christopher Fonnesbeck. Probabilistic programming in python using pymc3. PeerJ Computer Science, 2:e55, 2016.

[NielsBantilan20]

Niels Bantilan. Pandera: Statistical Data Validation of Pandas Dataframes. In Meghann Agarwal, Chris Calloway, Dillon Niederhut, and David Shupe, editors, Proceedings of the 19th Python in Science Conference, 116 – 124. 2020. doi:10.25080/Majora-342d178e-010.

[Sch21]

Jonathan Schwabish. Better Data Visualizations: A Guide for Scholars, Researchers, and Wonks. Columbia University Press, 2021.

[Coo11]

Lisa D Cook. Inventing social capital: evidence from african american inventors, 1843–1930. Explorations in Economic History, 48(4):507–518, 2011.

[HTFF09]

Trevor Hastie, Robert Tibshirani, Jerome H Friedman, and Jerome H Friedman. The elements of statistical learning: data mining, inference, and prediction. Volume 2. Springer, 2009.

[Gal22]

Soledad Galli. Python feature engineering cookbook: over 70 recipes for creating, engineering, and transforming features to build machine learning models. Packt Publishing Ltd, 2022.

[MHM18]

Leland McInnes, John Healy, and James Melville. Umap: uniform manifold approximation and projection for dimension reduction. arXiv preprint arXiv:1802.03426, 2018.

[Boe17]

Geoff Boeing. Osmnx: new methods for acquiring, constructing, analyzing, and visualizing complex street networks. Computers, Environment and Urban Systems, 65:126–139, 2017.

[She12]

Kevin Sheppard. Introduction to python for econometrics, statistics and data analysis. Self-published, University of Oxford, 2012. URL: https://www.kevinsheppard.com/files/teaching/python/notes/python_introduction_2020.pdf.

[BFH+18]

James Bradbury, Roy Frostig, Peter Hawkins, Matthew James Johnson, Chris Leary, Dougal Maclaurin, George Necula, Adam Paszke, Jake VanderPlas, Skye Wanderman-Milne, and Qiao Zhang. JAX: composable transformations of Python+NumPy programs. none, 2018. URL: google/jax.

[RLW+21]

Suman Ravuri, Karel Lenc, Matthew Willson, Dmitry Kangin, Remi Lam, Piotr Mirowski, Megan Fitzsimons, Maria Athanassiadou, Sheleem Kashem, Sam Madge, Rachel Prudden Amol Mandhane, Aidan Clark, Andrew Brock, Karen Simonyan, Raia Hadsell, Niall Robinson Ellen Clancy, Alberto Arribas†, and Shakir Mohamed. Skillful precipitation nowcasting using deep generative models of radar. Nature, 597:672–677, 2021.

[BMS+21]

Jan M Brauner, Sören Mindermann, Mrinank Sharma, David Johnston, John Salvatier, Tomáš Gavenčiak, Anna B Stephenson, Gavin Leech, George Altman, Vladimir Mikulik, and others. Inferring the effectiveness of government interventions against covid-19. Science, 371(6531):eabd9338, 2021.

[Bro22]

Jessica H Brown. The tradeoff between knowledge of mandated benefits and moral hazard. Southern Economic Journal, 88(3):1037–1064, 2022.

[Han20]

David J Hand. Dark Data: Why What You Don't Know Matters. Princeton University Press, 2020.

[Zin06]

William Zinsser. On writing well: the classic guide to writing nonfiction. New York, NY, 2006.

[WS72]

Elwyn Brooks White and William Strunk. The elements of style. Macmillan New York, 1972.

[Bel20]

Marc F Bellemare. How to write applied papers in economics. Working Paper, 2020. URL: http://marcfbellemare.com/wordpress/wp-content/uploads/2020/09/BellemareHowToPaperSeptember2020.pdf.

[Nyh15]

Brendan Nyhan. A checklist manifesto for peer review. Political Methodologist, 23(1):4–6, 2015.

[BHH17]

Jonathan B Berk, Campbell R Harvey, and David Hirshleifer. How to write an effective referee report and improve the scientific review process. Journal of Economic Perspectives, 31(1):231–244, 2017.

[NG11]

Kimberly A Nicholas and Wendy S Gordon. A quick guide to writing a solid peer review. Eos, Transactions American Geophysical Union, 92(28):233–234, 2011.