Hello everyone,
This is my first post, so please forgive my mistakes if it is outside the forum norms and suggest how I could improve.
I am analyzing whether properties owned by Institutional Investors (IIs) (e.g., venture capitalists, REIT etc.) charge a higher rent than the other owners (e.g., individuals, property management companies etc.). My dataset contains the year a rental property purchased by IIs and the average rents in those properties for each year. I am using the purchase year of a IIs as a treatment. I have a panel data of 15 years. I want to estimate the treatment effect using sdid (Clarke at al. 2023). Here are my questions:
This is my first post, so please forgive my mistakes if it is outside the forum norms and suggest how I could improve.
I am analyzing whether properties owned by Institutional Investors (IIs) (e.g., venture capitalists, REIT etc.) charge a higher rent than the other owners (e.g., individuals, property management companies etc.). My dataset contains the year a rental property purchased by IIs and the average rents in those properties for each year. I am using the purchase year of a IIs as a treatment. I have a panel data of 15 years. I want to estimate the treatment effect using sdid (Clarke at al. 2023). Here are my questions:
- The properties, both in the treatment and donor groups, are of various sizes (in terms of number of units in a property). Some properties have only 2-3 units, whereas others have 60+ units. Since my dependent variable is average rent of a unit in a property, I believe I need to adjust ATT based on the number of units in a property. I was just wondering how I can do that using SDiD. In a typical regression, I can use units as frequency weights, but SDiD does not seem to have that option. Or am I missing something? In case it does not, any suggestion how I can estimate the ATT weighted by number of units?
- Any suggestions on the number of reps? The SDiD helpfile says it needs to be way more than 50, but how many? Any rule of thumb?
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