The lagged structure of dynamic demand function for mortgage loans in Russia
This paper presents the demand-supply model for the Russian residential mortgage market based on the 2008-2012 aggregated data. The econometric estimation is addressed to the autocorrelation and the endogeneity problems, which leads to inconsistent estimates of parameters. Vector autoregression was chosen in order to simultaneously model the dynamic demand and supply system. Robust estimates of demand function evidenced that decision on application for mortgage loan is lagged and depends not only on the current macroeconomic situation, but also on the shocks of previous periods.