Open jo-fleck opened 2 years ago
After talking with Jiaxi on May 30 2023 (she will write a comprehensive description using the tex file I shared with her):
@jiaxitan Please write up a comprehensive description using the tex file I shared. Also include some of the explorations and robustness exercises we did while developing the procedure (graphs etc).
Match renter households in ASEC by state and county (where possible) to similar households in the ACS (same matching variables as we used for owners) and impute an estimate of rent paid to each ASEC renter household, $\hat{r}_{j}$.
Use the Zillow price rent ratios by state to estimate home values $\hat{P}_{j}$.
[See here for an issue regarding the Zillow data]
We estimate property tax rates using reported home values and property taxes for homeowners
For each homeowner we have an individual property tax rate defined as property taxes divided by home value
We fit a function to these property tax rates at the state (and county) level as $\tau{i}(y)=\alpha {0,i}+\alpha {1,i}\log (y)+\alpha {2,i}\log (y)^{2}$ where $i$ denotes state and county. We run this regression at the individual household level.
Then, when we have estimated the coefficients, we impute property taxes for renter household $j$ in ASEC as $proptax{j,i} = ( \alpha{0,i}+\alpha{1,i}\log (y{j})+\alpha{2,i}\log (y{j})^{2} ) \hat{P}_{j}$