The blog has been pretty quiet this week, while I've dealt with a number of other things. However, research marches on, and this is what caught my eye over the past week:
- Ng and Riehl (with ungated earlier version here) find that less-prepared students have higher earnings returns to selective STEM programs than more-prepared students in Colombia, even though they are less likely to complete these programs
- Kunaschk (open access) finds negligible overall employment effects of the minimum wage on hairdressers in Germany (a group of workers that haven't really been looked at in detail in this regard)
- Saez (open access) gives us the lowdown on last year's John Bates Clark medal winner, Gabriel Zucman
- Ruggles (open access) discusses how the 2020 U.S. Census Confidentiality Program has not solved the privacy issues from earlier Census data, and has reduced the quality of the available data
And the latest paper from my own research (or, more accurately, from the thesis research of my successful PhD student Mohana Mondal, on which I am a co-author along with Jacques Poot):
- Our new article (open access) in the journal New Zealand Population Review describes the development, calibration and validation of a dynamic spatial microsimulation model for projecting small area (area unit) ethnic populations in Auckland - this was a very ambitious undertaking as part of Mohana's PhD research, and demonstrates that microsimulation can be a useful tool for small-area population and ethnic projections, over the short term
No comments:
Post a Comment