Odds & Ends

Random bits and pieces that I've found interesting over time. Don't agree with all the 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

• Research papers (NBER & IZA): NBER working papers (https://www.nber.org/); IZA discussion papers (https://www.iza.org/)

• Econ Talk: https://www.econtalk.org/

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/ 

• STATA: https://www.mfilipski.com/pubgoods.html

• 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 a 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/

Entertainment:

• The Economist: https://www.economist.com/

• HARDtalk, BBC: https://www.bbc.co.uk/programmes/n13xtmdc

• Fareed Zakaria GPS, CNN: https://edition.cnn.com/shows/fareed-zakaria-gps