Ultimatch: Matching Counterfactuals in Your Way

ULTIMATCH
matching counterfactuals your way
Thorsten Doherr
London Stata Conference
September 6,
 
2019
https://github.com/ThorstenDoherr/ultimatch
Why matching?
2
ULTIMATCH
3
Score-based matching
ultimatch 
scorevar
, treated(
treated_dummy
)
[exact(
vars_defining_cells
)]
[caliper(
max_score_difference
)]
[draw(
num_of_counterfactuals
)]
[copy [full]]
[single]
[support]
[between]
[radius]
[greedy]
[rank]
[euclid]
[mahalanobis]
[report(
vars_for_ttests
) [unmatched]]
[unit(
vars_clustering_obs
)]
[exp(
logical_exp
)]
[limit(
perc_rank_limitations
)]
Distance-based matching
ultimatch 
dvar1 dvar2…
, treated(
treated_dummy
)
[exact(
vars_defining_cells
)]
[caliper(
max_distance_difference
)]
[draw(
num_of_counterfactuals
)]
[copy [full]]
[single]
[support]
[between]
[radius]
[greedy]
[rank]
[euclid]
[mahalanobis]
[report(
vars_for_ttests
) [unmatched]]
[unit(
vars_clustering_obs
)]
[exp(
logical_exp
)]
[limit(
perc_rank_limitations
)]
Coarsened exact matching
ultimatch, treated(
treated_dummy
)
exact(
vars_defining_cells
)
[caliper(
max_diff
)]
[draw(
num_of_counterfactuals
)]
[copy [full]]
[single]
[support]
[between]
[radius]
[greedy]
[rank]
[euclid]
[mahalanobis]
[report(
vars_for_ttests
) [unmatched]]
[unit(
vars_clustering_obs
)]
[exp(
logical_exp
)]
[limit(
perc_rank_limitations
)]
 
Transformation
. egen long coarsescore = group(cell1 cell2 cell3…)
. ultimatch coarsescore, treated(treated) caliper(0.5)
Score-based matching
4
SORT
MATCH
5
Distance-based matching
6
Hypersphere-Leeway Algorithm
ultimatch y x, treated(treated) euclid
7
ultimatch y x, treated(treated) mahalanobis
8
ultimatch y x, treated(treated) caliper(0.15) radius euclid
9
Thank you
https://github.com/ThorstenDoherr/ultimatch
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Ultimatch by Thorsten Doherr explores the concept of matching counterfactuals in a customizable manner, utilizing methods such as score-based matching, distance-based matching, and the Hypersphere-Leeway Algorithm. The tool allows for precise matching on observables and offers options for various types of matching techniques.

  • Ultimatch
  • Counterfactuals
  • Matching
  • Thorsten Doherr
  • Hypersphere

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  1. ULTIMATCH matching counterfactuals your way Thorsten Doherr London Stata Conference September 6,2019 https://github.com/ThorstenDoherr/ultimatch

  2. Why matching? ? = ?0+ ?1? + ?2? + ?3?? + ?4?????+ ? +? ? ? exploiting the correlations: ??? Y ? ? matching on observables 2

  3. ULTIMATCH Score-based matching Distance-based matching Coarsened exact matching ultimatch scorevar, treated(treated_dummy) [exact(vars_defining_cells)] [caliper(max_score_difference)] [draw(num_of_counterfactuals)] [copy [full]] [single] [support] [between] [radius] [greedy] [rank] [euclid] [mahalanobis] [report(vars_for_ttests) [unmatched]] [unit(vars_clustering_obs)] [exp(logical_exp)] [limit(perc_rank_limitations)] ultimatch dvar1 dvar2 , treated(treated_dummy) [exact(vars_defining_cells)] [caliper(max_distance_difference)] [draw(num_of_counterfactuals)] [copy [full]] [single] [support] [between] [radius] [greedy] [rank] [euclid] [mahalanobis] [report(vars_for_ttests) [unmatched]] [unit(vars_clustering_obs)] [exp(logical_exp)] [limit(perc_rank_limitations)] ultimatch, treated(treated_dummy) exact(vars_defining_cells) [caliper(max_diff)] [draw(num_of_counterfactuals)] [copy [full]] [single] [support] [between] [radius] [greedy] [rank] [euclid] [mahalanobis] [report(vars_for_ttests) [unmatched]] [unit(vars_clustering_obs)] [exp(logical_exp)] [limit(perc_rank_limitations)] Transformation . egen long coarsescore = group(cell1 cell2 cell3 ) . ultimatch coarsescore, treated(treated) caliper(0.5) 3

  4. Score-based matching SORT MATCH cell score treated _distance _match _weight 9 1.079380 0 9 1.093021 0 0.002202 234 1.0 9 1.095223 1 0 234 1.0 9 1.101899 0 0.009212 235 1.0 9 1.111111 1 0 235 1.0 9 1.146180 1 0 236 1.0 9 1.146266 0 0.000086 236 0.5 9 1.146266 0 0.000086 236 0.5 10 0.170137 1 0 237 1.0 .04116 0.033707 237 238 1.0 2.0 10 0.211297 0 0 238 1.0 10 0.245004 1 10 0.304080 0 10 0.304764 0 10 0.330998 0 10 0.368190 0 10 0.399482 1 4

  5. Distance-based matching 5

  6. Hypersphere-Leeway Algorithm 6

  7. ultimatch y x, treated(treated) euclid 7

  8. ultimatch y x, treated(treated) mahalanobis 8

  9. ultimatch y x, treated(treated) caliper(0.15) radius euclid 9

  10. Thank you https://github.com/ThorstenDoherr/ultimatch

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