I want to replicate an exercise from Handbook on Impact Evaluation: Quantitative Methods and Practices that uses data from Bangladesh's households in 1998 (hh_98.dta).
Impact assessment can be implemented with RD design using the Bangladesh data because participation in microcredit programs is officially determined by a household’s landholding; that is, a household is eligible to participate only if it has fewer than 50 decimals of land. Therefore, the cutoff point of 50 decimals in land assets fulfills the RD design criterion. Some eligible households (land asset < 50 decimals) do not participate, and some ineligible households (land asset >= 50 decimals) do participate.
The problem here is that I want to replicate the exercise of a Fuzzy RD with rdrobust but the control on the right of the cutoff, treatment on the left of the cutoff so I think I am estimating in the wrong idea as the default is left, control and right, treatment.
Any suggestions on how to deal with this?
Impact assessment can be implemented with RD design using the Bangladesh data because participation in microcredit programs is officially determined by a household’s landholding; that is, a household is eligible to participate only if it has fewer than 50 decimals of land. Therefore, the cutoff point of 50 decimals in land assets fulfills the RD design criterion. Some eligible households (land asset < 50 decimals) do not participate, and some ineligible households (land asset >= 50 decimals) do participate.
The problem here is that I want to replicate the exercise of a Fuzzy RD with rdrobust but the control on the right of the cutoff, treatment on the left of the cutoff so I think I am estimating in the wrong idea as the default is left, control and right, treatment.
Any suggestions on how to deal with this?
