The Gini Index as a measure of income inequality is redundant when using U.S. Census Bureau’s household income statistics, at least at the national and state levels. That Gini index is fully determined and can be replaced by the household income share of the fifth quintile. Continue reading
Besides state and higher-level health care expenditures, county level HCE are useful, integral really. For example, to promote the Triple Aim (the best care for the whole population at the lowest cost) you need per capita HCE. And knowing those costs at the county level would help a lot. However, county estimates generally don’t exist. They didn’t in Washington State until a client needed cost estimates for our 39 counties. To supply those estimates I used a regression approach resulting in this model:
percaphce = +0.1*percapinc + 247*pctage65 + 0.71*percapmedaid + 10.5*pctrural – 1349 Continue reading
The context here is unemployment and educational attainment statistics, while the themes include the importance of a degree, how aggregating data can misinform, and trusting your lying eyes.
What unemployment statistics convey can be different than what you witness at street level. For example: my daughter, Linda, has a bachelor’s in education and can’t find work. Anna, a barista at the local cafe has a BA in Psychology; Candice who works the bakery counter next door to the cafe has a BA in Journalism. These three young women are educated, articulate, and dependable. They want challenging creative work but their capacities are not anywhere near taxed. Those are just three examples. I’m sure you encounter many similar. Wait, please allow me one more. Continue reading