Odds and Ends

Random bits and pieces that I've found interesting over time - this is a work in progress. Don't agree with all points made below.

Academia:

• Tips for good writing collected by Amanda Agan: https://sites.google.com/site/amandayagan/writingadvice
• First-year PhD advice: https://storify.com/ehutt1/1st-year-phd-advice
• How to read research articles: http://www.jessicacalarco.com/tips-tricks/2018/9/2/beyond-the-abstract-reading-for-meaning-in-academia
• Suggested outline for qualitative work: http://www.jessicacalarco.com/teaching-resources
• Structuring papers: http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005619
• Writing referee reports: https://escholarship.org/uc/item/0ff37016
• Dissertating: https://www.chronicle.com/article/The-Not-So-Secret-Guide-to/242186
• AEA guide to academia: https://www.aeaweb.org/about-aea/committees/cswep/mentoring/reading
• Lit review: http://www.raulpacheco.org/2016/06/how-to-do-a-literature-review-citation-tracing-concept-saturation-and-results-mind-mapping/
• Presentation tips: https://www.brown.edu/Research/Shapiro/pdfs/applied_micro_slides.pdf ; https://www.dropbox.com/s/4h9soo9dpndjtvt/public_speaking_for_academic_economists.pdf?dl=0
• Coding structure: https://web.stanford.edu/~gentzkow/research/CodeAndData.pdf

Random data and/or teaching tools:

• Tool to construct NASA-based population estimates: http://sedac.ciesin.columbia.edu/data/collection/gpw-v4/population-estimation-service
• Stata/Matlab/R tools for econometric techniques: https://cemmapswl.blog/
• Language analysis tools (including gender bias): http://liwc.wpengine.com/ ; http://www.tomforth.co.uk/genderbias/ ; http://gender-decoder.katmatfield.com/
• Draw a symbol and this will find the appropriate Latex feature to help: http://detexify.kirelabs.org/classify.html
• IPEDS data web-scrapped by Manuel Canche: https://drive.google.com/drive/folders/15shW2-KyFoah8rTw0CGR9fZt_IrzphTM
• Appears to be nice summary of international data and definitions: https://ourworldindata.org/measuring-education-what-data-is-available
• Visualization of HLM: http://mfviz.com/hierarchical-models/

Knowledge

• Links to articles on student loans: http://fordschool.umich.edu/news/2018/dynarski-testifies-student-loans-us-senate-help-committee
• Research-practice partnerships: http://ncrpp.org/resources
• Gender and economics: https://rebeccathornton.net/gender-and-economics/