Our great sponsors
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
However, I then read about the -sdid- command based on Arkhangelsky et al., (2021, AER). I figured I should try this approach as well, thinking it would yield a similar synthetic control group and similar parameter estimate. However, the synthetic control group that -sdid- generated was much different - and, to my eye, worse - than the one -synth- generated. The parameter estimate here was 3 (instead of 1) and was way less precise (p-value of 0.4). As a further complication, when I used -didregress- on this sdid-generated data, I got very precise parameter estimates.
Related posts
- Does anyone have the code for PIC16F84 microcontroller on willem eprom programmer v3.5 or V4.5?
- [Q] Publication reviewer made this comment about my use of factor analysis. How should I proceed?
- [OC] The age distribution of U.S. homeownership over time
- Alluvial Graphs
- Anyone know how I can make a similar figure to this? basically describes the temporal trends for pt's with a certain heart condition over three timepoints.