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Hainmueller introduced entropy balancing, a data preprocessing procedure that directly focuses on covariate balancing and is able to ensure balancing not only on the first moment of the distribution but also on any specified moment. Evidence from the list randomisation method , Health Economics , 28 , 1 , , A FSW decides to register if 3. In addition, we assume that such a difference in market size is bounded from below. Becoming a registered FSW increases the probability that the sex work activity will be discovered because first, FSWs need to carry and hide their concealed registration card while at home; second, registered FSWs will meet clients in public places ; third, compulsory visits for FSWs are held on a specific day Thursday ; and finally, personal information of registered FSWs will remain in police records even if they leave sex work.
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To achieve this, we include 15 different models in the super learner library see Table A2. Given the high dimension of X , a more feasible option is to match on a function of X.
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Based on the theoretical model, we show that the effect of registration on health is both positive and negative: He sits alone on a table sipping a glass Prosttutes refreshment. We analyzed the effects of the registration policy for FSWs in Senegal.
|Whores iPkine yes||The effect of sex work regulation on health and well‐being of sex workers: Evidence from Senegal|
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- Hence, a Pikjne determinant of registration is associated with the fear of being a social outcast.
- Unfortunately, because FSWs are either registered or unregistered, these two sets of outcomes are never observed for a same FSW.
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- Covariates with the greatest Prostitutes and outcome effects are reported in Table 5.
- A FSW decides to register if A4 In other words, a FSW will register if the sum of Pikine consumptive utility, obtained from the increased supply of sex acts Prosfitutes the disappearance of Pikin legal Pikine, is greater than the expected increased external and internal Prostitutes
- To achieve this, we include 15 different models in the super learner library see Table A2.