# Is there existing research on predicting the number of house listings based on exogenous data?

I've been looking for prior research by economists that predict the number of house listings in a particular city (or even, say, the probability that an individual in the city will list his house that year).

So, for example, the former would be something like:

$NumListings=1.5*GDP+ 2*income+3*interestRate+unemployment+.3*population$

and the second could be a logit regression like

$ProbListing=\frac{(GDP+1.1*income)}{population}$

Is there any existing literature on this? The only things I have been able to find is literature on people using the number of listings to predict house prices-- I want to know if anyone has used exogeneous data like unemployment, income, consumption, gdp, interest rate, unsold listings, etc.. to predict the number of listings in the future.