From the monthly archives: October 2017
A big part of economics is data analysis, which starts with data visualization: “seeing like an economist” means looking for patterns across many observations, recognizing that the data we see result from peoples’ choices. In class we practice this through weekly exercises and a course project that start with analytical diagrams (such as supply and […]
Twitter (click photo for full profile)
- Yea for new #openaccess book on #ag4nutrition from @ShenggenFan & others @IFPRI -- very clear framing and structure… https://t.co/hAR7mQDRTf about 13 hours ago
- Thank you @IFPRI website for featuring new work from Derek Headey, Anna Folke Larsen and me @TuftsNutrition on the… https://t.co/xG1owv7mcG about 22 hours ago
Helpful newsletters
- Politico – US food & ag policy
- Ag2nut – international nutrition
- Chicago Council – global food & ag
- Keith Good – US farm policy
- New Food Economy – US focused
- Food Safety News
- Danielle Nierenberg’s Food Tank
- Gro Intel – deep dives into data
- FERN’s ag insider news
- Boston Network for Intl. Dev.
- Econofact – US economic policy
- Rudd Center – obesity policy
- David Allison – obesity research
Favorite bloggers
- Parke Wilde – food policy
- Marc Bellemare – ag & food econ
- Chris Blattman – dev econ
- Jayson Lusk – ag & food econ
- Diane Coyle – economics books
- Marion Nestle – food politics
- Tamar Haspel – food & ag
- World Bank – impact evaluation
- BITSS – research methods
- Econofact – US econ policy
- Susan Dynarski – education policy
Data sources
- USDA Economic Research Service (ERS) data
- NCCOR – all US food-health data
- World Bank data
- FAO Statistics (FAOSTAT)
- UNICEF statistics
- WHO – child heights and weights
- UN system data
- Famine Early Warning (FEWSNET)
- The dataverse
- IHSN – household surveys
- IPUMS – accessible data (incl. IDHS)
- Euromonitor – branded foods (library subscription)