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Alex_to_Swapnil

alexkmc33 edited this page Dec 1, 2021 · 4 revisions

I think this project will be interesting since it is a great opportunity to use RCT methods since there are state difference related to the implementation of the policy. Moreover, according to your proposal, there seems to be not much research about agricultural productivity issues related to this policy. There are several practical questions related to the proposal.

Q1. Synthetic control related.

1.1 Is there any selection issue with the assignment of adopting a loan waiver program. As you mentioned, it seems not like a random assignment.

1.2 What kind of RCT method are you going to use and why do you prefer that method? If it is synthetic control, which type of SC methods are you going to use?

  1. Which method are you going to use to estimate the agricultural productivity?

Just for sharing, I found these synthetic control methods interesting.

Model Averaging SC: Kellogg and Mogstad et al. (2020) I leaned a lot in this paper about the limitation of some SC methods.

Elastic net synthetic control: Doudchenko and Imbes (2016)

Tree based synthetic control: Mühlbach†, Nielsen (2021)

Penalized SC: Abadie and L’Hour (2019)

Robust Synthetic Control: Amjad, Shah, Shen (2018)

I think this project will develop into a great paper.

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