In January–April 2014, 231,100 apartments with fl oorspace of 17.9m sq. meters which amounts to 127% on the respective period of 2013. In Q1 2014, the average actual cost of building of 1 sq. meter of residential housing rose by 12.52% as compared to Q1 2013 and amounted to Rb 39,290. The...

In this paper, we build the rationale of the financial intermediate's decision of making loans to potential home buyers over an infinite time horizon. In the first period "good" borrowers with stable future income flows receive loans and buy homes. In later periods, the intermediate securitizes...

In January 2013, entities of all the forms of ownership built 45,800 new apartments with the total floor space of 3.58m sq. meters or 114.7% as compared to January 2012. In January, individual developers commissioned 1,585m sq. meters of housing which is 6.2% more than in January 2012.

The aim of this publication is the analysis of the main theoretical and empirical models for pricing of financial and non financial assets including models for bubbles determining indices and methods which allow identifying a bubble on financial and non financial assets markets well as...

The aim of this publication is the analysis of the main theoretical and empirical models for pricing of financial and non financial assets including models for bubbles determining indices and methods which allow identifying a bubble on financial and non financial assets markets well as...

This paper quantitatively accounts for the cyclical dynamics of key macroeconomic housing and mortgage market variables using a tractable, search-theoretic model of housing with equilibrium mortgage default. To explain these dynamics, the model highlights the importance of liquidity spirals...

This paper investigates the macroeconomic effects of search risk in the housing market. To do so, I introduce a tractable directed search model of housing with mul- tidimensional buyer and seller heterogeneity. I incorporate this framework in an in- complete markets macroeconomic model with...

This paper develops a matching model à la Pissarides (2000) in order to explain the basic facts of housing markets, most of all the variance in house prices. Price dispersion is basically due to both the ex-ante heterogeneity of the parties and the search costs of buyers and sellers. In fact,...

This paper examines whether the Mortensen-Pissarides matching model can account for the housing markets facts, most of all the empirical anomaly known as ‘price dispersion’. Our main finding is that the model can account for the three basic facts of housing market, without any restrictive...

The dynamics of house prices, sales, construction, and population growth in response to city-specific income shocks are characterized for 106 US cities. A dynamic model of search in the housing market in which construction, the entry of buyers, house prices, and sales are determined in...