A good match is defined by use using two criteria:
1) Preserve about 80% of treatment cells after CEM matching
2) Standardized mean difference between treatment and control units around 0.2 or less
For this issue we need to
[x] Filter the WDPA without any matches after "sturges" bins (usually small PA)
[x] Create R script for manual bin adjustmet
[x] Filter all WDPAs that are part of a follow up phase of the project (multiple treatment)
[ ] WDPA with less than 30 cells. Each cell has 500 ha. Thus we would drop PAs with less than 150 sqm
[ ] Manually adjust CEM bins for WDPA datasets with 75-100% treament cells consverved to achieve a mean stand. difference balancing below 0.2 for each matching covariate
A good match is defined by use using two criteria: 1) Preserve about 80% of treatment cells after CEM matching 2) Standardized mean difference between treatment and control units around 0.2 or less
For this issue we need to